4h- £. ;~.‘ n id . S... .53.... V: . .rr: . . .. I 3.. 3.3.9 {‘Ififis- HM ATE LIBRARI mmmll‘ilfillli . Illllllllll 3 1293 01776 6670 LIBRARY Mlchlgan State University This is to certify that the thesis entitled TEST—RETEST RELIABILITY AND CLINICAL UTILITY OF THE MULTIMEDIA HEARING HANDICAP INVENTORY presented by Sara Louise Shogren has been accepted towards fulfillment of the requirements for M-A- degree in _ASC___ Qég/xr V Major professor Date 05112199 0-7639 MS U is an Affirmative Action/Equal Opportunity Institution TEST-RETEST RELIABILITY AND CLINICAL UTILITY OF THE MULTIMEDIA HEARING HANDICAP INVENTORY By Sara Louise Shogren A THESIS Submitted to Michigan State University in partial fiilfillment of the requirements for the degree of MASTER OF ARTS Department of Audiology and Speech Sciences 1 999 ABSTRACT TEST-RETEST RELIABILITY AND CLINICAL UTILITY OF THE MULTIMEDIA HEARING HANDICAP INVENTORY By Sara Louise Shogren A new multimedia version of the Hearing Handicap Inventories (MHHI) was recently developed by Punch and Weinstein based on the original screening versions of the Hearing Handicap Inventory for the Elderly (HHIE - S) and the Hearing Handicap Inventory for Adults (HHIA-S). The MHHI is comprised of two separate programs: a short program (SP) and a long program (LP). The purpose of this study was to determine the clinical utility of the MHHI, including its test-retest reliability, acceptability and ease of use, and preliminary clinical validity. Thirty-six normal-hearing and hearing-impaired subjects completed the MHHI during two separate test sessions conducted three weeks apart. Audiometn'c data and case history information were collected in both sessions. Each subject was randomly assigned to one of three test-retest sequences (LP/ SP, SP/ SP, or SP/LP). Results revealed the MHHI to have high test-retest reliability and high internal consistency reliability. Statistical properties were shown to be highly consistent with those of the original screening versions of the HHI. Overall, the MHHI exhibited good clinical utility. Its full validation as a screening measure of hearing impairment will require testing with a larger number of subjects than included in this study. Copyright by SARA LOUISE SHOGREN 1999 This is dedicated to Kenneth Shogren, Daniel Shogren, Jennifer Rise, and most especially David and Virginia Shogren. They have always given their love and support and never let me lose sight of my dreams. iv ACKNOWLEDGMENTS I extend my sincere gratitude to Dr. Jerry Punch, chairperson of my master’s thesis committee, for all his time, energy, commitment, and mentoring throughout my graduate studies, and especially throughout this thesis. Appreciation is also extended to Dr. Jill Elfenbein and Dr. Brad Rakerd, members of my thesis committee, for their insightfirl perspectives and comments which were invaluable to this project. Also, gratitude is extended to Dr. Frank Biocca for his advice in the initial planning stage of this project. I wish to thank Patti Hergenreder for assisting with the recruitment of subjects. A special thanks is due to the East Lansing Senior Center for allowing me to talk briefly about my project to potential subjects. Appreciation is also extended to Kathy Scieszka and Andrea Pirochta, who also helped with the recruiting of subjects. I am especially grateful to all the participants in this project who donated their time to participate in this experiment. The project could not have been completed without them. Appreciation is extended to Kenneth D. Shogren who provided much-valued mathematical and statistical advice, as well as formatting guidance. Lastly, thanks to Lara L. Gingerich and Amyn M. Amlani, who provided advice, encouragement, and understanding throughout this project. TABLE OF CONTENTS LIST OF TABLES ________________________________________________________________________________________________________________ viii LIST OF FIGURES _________________________________________________________________________________________________________________ x1 CHAPTER 1 - BACKGROUND _____________________________________________________________________________________________ 1 CHAPTER 2 - REVIEW OF LITERATURE _______________________________________________________________________ l 7 Hearing Handicap Inventory for the Elderly _____________________________________________________________ l 7 Hearing Handicap Inventory for Adults ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 25 Multimedia Hearing Handicap Inventory __________________________________________________________________ 28 CHAPTER 3 — METHOD ______________________________________________________________________________________________________ 34 Overview _____________________________________________________________________________________________________________________ 34 Subjects _______________________________________________________________________________________________________________________ 34 Test-Retest Sequences ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 41 Audiologic Evaluation ................................................................................................ 4 2 Interview Materials _____________________________________________________________________________________________________ 4 3 Procedures .................................................................................................................. 47 CHAPTER 4 - RESULTS AND DISCUSSION __________________________________________________________________ 53 Overview ..................................................................................................................... 53 Hearing Sensitivity Across Subject Groups ______________________________________________________________ 54 Descriptive Analysis of MHHI ................................................................................... 55 Test-Retest Reliability ________________________________________________________________________________________________ 55 Internal Consistency Reliability __________________________________________________________________________________ 6 0 Cfitical-Diflemnce Scores __________________________________________________________________________________________ 66 Predictive Validity ______________________________________________________________________________________________________ 67 Subject Choices on the MHHI ................................................................................... 77 Exit-Questionnaire Analysis _______________________________________________________________________________________ 79 CHAPTER 5 - CONCLUSION _____________________________________________________________________________________________ 86 APPENDICES ........................................................................................................................ 90 Appendix A - Hearing Handicap Inventory for the Elderly (HHIE) _____________________ 91 Appendix B - Hearing Handicap Inventory for the Elderly - Screening Version (HHIE-S) ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 94 Appendix C - Hearing Handicap Inventory for Adults (HHIA) ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 96 Appendix D - Hearing Handicap Inventory for Adults — Screening Version (HHIA - S) ___________________________________________________________ 99 Appendix E - Components of the Long Program of the MHHI ,,,,,,,,,,,,,,,,,,,,,,,,,,,, 101 Appendix F - Components of the MHHI Hearing Profile ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Appendix G - Protocol Design for Eight Hearing Profiles ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Appendix H - F irst-Session Case History Form _____________________________________________________ Appendix I - Second-Session Case History Form. ................................................ Appendix J - Exit Questionnaire - Long Program (LP/SP and SP/LP Sequences) _____________________________________________________________________ Appendix K - Exit Questionnaire - Short Program (SP/SP Sequence) ............................................................................ REFERENCES ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo 102 103 112 114 116 119 122 LIST OF TABLES Table 1.] - History and scope of Hearing Handicap Inventories ................................... Table 2.1 - Hearing Profile contingencies ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Table 3.1 - Distribution of male and female subjects in each test group, ________ 7 30 subdivided by adult subjects (MHHI-A) or elderly subjects (MHHI-E) ,,,,,,,,,, 35 Table 3.2 - Means and standard deviations for subjects, subdivided by inventory, gender, experimental group, and age ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Table 3.5 - Bases for eliminating subjects fiom test-retest reliability analysis and validity analyses, based on first case history ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Table 3.6 - Bases for eliminating subjects from test-retest reliability analysis, based on second case history or audiornetric data ...................................... Table 4.1 - Means, standard deviations, and 95% confidence intervals for test and retest conditions for MHHI, MHHI-E, and MHHI-A ......................... Table 4.2 - Means, standard deviations, and 95% confidence intervals for three exocrimemal grouos ...................................................................................... Table 4.3 - Pearson product-moment correlations for MHHI, MHHI-E, and MMHI-A, based on emotional score, social score, and total score ,,,,,,,,,,, Table 4.4 - Pearson product-moment correlations for three experimental groups, based on emotional score, social score, and total score _____________________________ Table 4.5 - Pearson product-moment correlations for male and female subjects, based on emotional score, social score, and total score ,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Table 4.6 - Pearson product-moment correlations for subjects subdivided by age group and gender, based on emotional score, social score, and total score ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo Table 4.7 - Cronbach’s alpha for the MHHI by test and retest administration and major subject subgroup ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Table 4.8 - Cronbach’s alpha for three experimental groups, subdivided by test and retest administrations, adult and elderly subjects, and inventory subscales ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Table 4.9 - Cronbach’s alpha for two versions of the MHHI (short and long programs), for test and retest administrations in difl‘erent experimental groups _____________________________________________________________________________________ Table 4.10 - Cronbach’s alpha for the MHHI-E and MHHI-A and the short and long programs of the MHHI ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Table 4.11 — Critical-difference scores (95% confidence interval) ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Table 4.12 - Sensitivity, specificity, false-positive, and false-negative rates using an MHHI cutoff score of 2, for various definitions of hearing I ................................................................................................... ........................................................................... Table 3.4 - Subjects’ annual net incomes ........................................................................ 36 uuuuuu 56 57 ...... 59 59 59 60 62 63 ...... 64 65 67 69 Table 4.13- Sensitivity, specificity, false,-positive and false-negative rates using an MHHI cutofl‘ score of 4, for various definitions of hearing impairment _________________________________________________________________________________________________________ 6 9 Table 4.14- Sensitivity, specificity,false-positive and false-negative rates using an MHHI cutofl‘ score of 8, for various definitions of hearing inmairment ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 70 Table 4.15- Sensitivity, specificity, false,-positive and false-negative rates using an MHHI cutofi' score of 10, for various definitions of hearing impairment ......................................................................................................... 70 Table 4.16- Sensitivity, specificity, false-positive, and false-negative rates using an MHHI cutofl‘ score of 16, for various definitions of hearing impairment ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 71 Table 4.17- Sensitivity, specificity, false,-positive and false-negative rates using an MHHI cutofl‘ score of 24, for various definitions of hearing impairment ........................................................................................................ 71 Table 4.18— Correlations between MHHI scores and selected audiometric indices 72 Table 4.19 - Mean MHHI scores and standard deviations for normal-hearing and hearing-impaired subjects, as classified by Speech Reception Threshold (SRT) with 20-dB HL cutofi‘ 74 ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo Table 4.20 - Mean MHHI scores and standard deviations for normal-hearing and hearing-impaired subjects, as classified by Speech Reception Threshold (SRT) with 25-dB HI. cutofi' 75 Table 4.21 - Mean MHHI scores and standard deviations for normal-hearing and hearing-impaired subjects, as classified by Word Recognition Score (WRS) ............................................................................................................... 75 Table 4.22 - Mean MHHI scores and standard deviations for norrml—hearing and hearing-impaired subjects, as classified by Speech Frequency Pure Tone Average (SFPT A) with 20-dB HL cutoff 75 ooooooooooooooooooooooooooooooooooooooooooooo Table 4.23 - Mean MHHI scores and standard deviations for normal-hearing and hearing-impaired subjects, as classified by Speech Frequency Pure Tone Average (SFPTA) with 25-dB HL cutofl‘ 76 ooooooooooooooooooooooooooooooooooooooooooooo Table 4.24 - Mean MHHI scores and standard deviations for normal-hearing and hearing-impaired subjects, as classified by High Frequency Pure Tone Average (HFPT A) with 20-dB HL cutofi‘ 76 ooooooooooooooooooooooooooooooooooooooooooooo Table 4.25 - Mean MHHI scores and standard deviations for normal-hearing and hearing-impaired subjects, as classified by High Frequency Pure Tone Average (HFPT A) with 25-dB HL cutoff ___________________________________________ 77 Table 4.26 - Subjects’ use of the Computer Introduction section of the MHHI _________________ 78 Table 4.27 - Exit»questionnaire results for subjects administered only the short program (SP/SP) ............................................................................................... 80 Table 4.28 - Exit-questiomiaire results for subjects administered the long program in either session (LP/SP 0r SP/LP) ................................................................. 81 Table 4.29 - Comfort level reported with selected technologies by subjects performing the short program only (SP/SP) ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Table 4.30 - Comfort level reported with selected technologies by subjects performing the long program in either session (LP/SP or SP/LP) ________________ Table 4.31 - Spearman rho’s for utility, income, education, and technology comfort for the SP/SP test group ___________________________________________________________________ Table 4.32 - Spearman rho’s for utility, income, education, and technology comfort for the LP/SP and SP/LP test 8r0t1ps ............................................... 82 84 85 LIST OF FIGURES Figure 3.1 - Mean air-conduction audiometric thresholds for the better ears of experimental groups. Each group included 12 subjects, six of whom were adults and six of whom were elderly adults, classified as described in the text. ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, 38 Figure 3.2 - Mean air-conduction audiometric thresholds for the better ears of adult and elderly adult subjects. Each group included 18 subjects. ____________ 39 Figure 3.3 - Mean air-conduction audiometric thresholds for the better ears of male and female subjects. Each group included 18 subjects, _______________________ 40 Chapter 1 Background Hearing disability has been characterized as encompassing the primary communication consequences of a hearing loss, and a handicap as encompassing the secondary consequences of a hearing loss. In recent years, distinctions have been drawn among the terms disorder, impairment, disability, and handicap: “A hearing disorder occurs as a result of some type of disease process or malformation of the auditory system. A hearing impairment is any loss or abnormality of psychological, physiological, or anatomical structure or function. A hearing disability is any restriction or lack (resulting from an impairment) of ability to perform an activity in the manner or within the range that is considered normal for a human being. A hearing handicap is a disadvantage for a given individual, resulting from impairment or disability, that limits or prevents the fiilfillment of a role that is normal (depending on age, sex, and social and cultural factors) for that individual.” (World Health Organization, 1980) A disorder, impairment, or disability can be characterized or reasonably predicted by use of audiological measures such as pure tone audiometry, speech recognition thresholds, acoustic reflex thresholds (ART), otoacoustic emissions (OAE), and auditory brainstem responses (ABR), but the handicapping, or secondary, effects of a hearing loss need to be measured with different tools. One way to quantify handicap is to use a formula developed by the American Academy of Otolaryngology (AAO) Committee on Hearing and Equilibrium (1979). The AAO formula classifies people as either handicapped or not handicapped according to a formula based on thresholds for the frequencies 500 Hz, 1000 Hz, 2000 Hz, and 3000 Hz, with a cutoff of 25 dB HL. Self-assessment scales, inventories, or questionnaires provide another way to measure hearing handicap. Self-assessment data reveal important insights about individuals’ responses to hearing impairment that cannot be gleaned from audiometric data (Weinstein and Ventry, 1983). Hearing handicap represents the non-auditory problems resulting from hearing disorder, impairment, or disability. While the degree of hearing handicap generally increases with increased hearing impairment, hearing handicap may vary, depending on the attitudes and perceptions of the affected individual and those with whom he or she interacts, as well as with the demands placed on one’s ability to hear and understand speech in everyday life. Individual response is based on personality, psychosocial adjustment to a hearing impairment, age, and general health (Ventry and Weinstein, 1982). Self-assessment inventories have been designed to assess hearing handicap in the young adult and elderly adult populations. They assess various aspects of a hearing loss, including attitudes, general communication abilities, communication in various environments or situations, emotional aspects of a hearing loss, and the effects of hearing loss on social functioning. As many as 158 items and as few as 5 items have been used to evaluate the various consequences of hearing loss on everyday life. A comprehensive listing of self-assessment inventories is given in Table 1.1. This listing describes the target population, the author/developers(s), the year the inventory was published, the number of items in the inventory, the factors measured, and (if available) the approximate time required to complete the inventory. Self-assessment scales in audiology have evolved from pencil-and-paper versions in the mid-19603 to current scales that are administered through computer technology. A similar transition to computer technology has been seen in the field of psychology. Psychological questionnaires were computerized for two reasons: 1) for ease of scoring and 2) to elicit more-honest responses from subjects than are likely to occur on written questionnaires or in face-to face interviews. Neal, Fox, Carroll, Holden, and Barnes (1997), in a study involving a computerized version of a personality disorder screening test, indicated the need for greater ease in scoring questionnaires. They noted that “computerized tests based on self-report questionnaires should be independently validated because reliability between the two forms cannot automatically be assumed” (Neal et. al, 1997, p. 352). Skinner and Allen (1983) speculated while analyzing a computer version of a self-assessment questionnaire that more-accurate information would be provided about sensitive areas. In their study of alcohol, drug, and tobacco use, they found no difference in reliability, level of problems reported, or consumption patterns among a computerized version, a pencil-and-paper version, and a face-to-face version. Pouwer, Snoek, van der Ploeg, Heine, and Brand (1998) found no differences in computerized and pencil-and- paper versions of the Well-being Questionnaire (WBQ) and the Diabetes Treatment Satisfaction Questionnaire (DTSQ) and thus considered the versions to be equivalent. However, Duijsens, Eurelings-Bontekoe, and Diekstra (1996) found only a moderate agreement between the computerized Vragenlij voor Kenmerken van de Persoonlijkheid (VKP), an instrument for determining personality disorders, and their gold standard scale. The Multimedia Hearing Handicap Inventory (MHHI) is one of the newest self- assessment scales in Audiology. It is a computerized, multimedia questionnaire based on paper-and-pencil screening questionnaires. The purpose of this study was to evaluate the test-retest reliability and overall clinical utility of the MHHI. Self-assessment scales serve multiple purposes beyond the measurement of hearing handicap. They may be used to screen directly for hearing handicap; screen indirectly for hearing impairment; evaluate the need for aural rehabilitation, including hearing aid candidacy; measure outcomes of audiological interventions, such as hearing aid benefit; and market and promote one’s clinical practice. When self-assessment scales are used to screen for hearing handicap or impairment, it can generally be presumed that patients who score on one side of a specified cutoff value will not exhibit a hearing impairment, while patients scoring on the other side of that cutoff value will exhibit hearing impairment. To the extent that this is true, the scale may be said to be a valid screening measure of hearing handicap or hearing loss. If a patient’s score on such a scale suggests no handicap, it may also be presumed that hearing aids and other forms of aural rehabilitation are not necessary. On the other hand, if the score of a patient who does not wear amplification suggests hearing handicap, aural rehabilitation (probably hearing aids) will likely need to be considered. Ideally, predictions of who will pursue amplification and actually use it may also be gleaned from self-assessment scales. If a patient demonstrates a low handicap score, despite audiometric evidence of hearing impairment, the patient is not perceiving a hearing handicap. Because that individual does not regard hearing to be a problem, he or she is not likely to seek assistance, and is also unlikely to comply with specific recommendations to do so. On the other hand, the patient who demonstrates both audiometric hearing loss and a high handicap score perceives hearing to be handicapping and is likely to comply with recommendations to explore amplification or other forms of audiologic rehabilitation. Given a high test-retest reliability and validity, a self-assessment scale may be used effectively as an outcome measure. If a handicap score on such a scale decreases substantially over a time period in which the patient undergoes some rehabilitation process, then it may normally be assumed that the process is largely responsible for the patient’s perception of diminished handicap. Self-assessment scales may be utilized in various settings. If the scales are relatively easy to use, easy to score, have validity and high test-retest reliability, and provide a basis for determining candidacy for—and benefit from—rehabilitation, they may be used to promote one’s clinical practice. For example, a potentially powerful strategy for the use of self-assessment questionnaires would be their use in offices of primary-care physicians to refer patients to audiologists for diagnostic services and follow-up care. Due to the wide variety of uses for self-assessment scales, the development and improvement of these scales is a highly worthwhile task. The present study focused on a preliminary evaluation of the MHHI. Because the Hearing Handicap Inventory for the Elderly-Screening Version (HHIE-S) and the Hearing Handicap Inventory for Adults- Screening Version (HHIA-S) are important components of the MHHI, these two scales, their parent scales (HI-11E and HHIA), and the MHHI itself will be the major topics addressed in the Review of Literature in the next chapter. Sosa o5 no: .5636 2: E 833%. :5qu 2: 3 woocotomxo 93me use $2 wage: 338063 28362 mimcouflom $2 wagon a 8 85%»: 93322.9: .mmo_ mac—8: a mo floobo 38m $85: dosage“. :00on chumps Esau—82 Ami .338 wees; 58% mm 22 .. be? as 0302 as}. 2% “Eases: macaw .5: £8on :8: 9 b=E< o . meow Lo .wgo: 0530.5 03.20228 mar/m: we .wccao: 03:05 2:: were“: we 45% ... 89E me 823 a cotaooba on: 5523 ES :3 some com 258m meteom 22mm wEEeB so: B 35% £258 35:80:30 mo mmocosae .:o_§oE:EEoo :8on <2 l\ :E u mwofixuaovu <2 ooggotom 333‘. we amok. 310 a Emmy: <2 <2 22 as case deem <2 em 5am é 2an mean muse 8 $2 2a inseam an: as? Awaited geese wees: .mwawweefifin—hofin‘w «awash. .. .mmteEeafi accustom MSBmEB skews. 35 58.4.5 ..~ .~ Sank .ez .8on .v : 0888 322080 82882,“ wing: 2:0on EpoLm B2802 - 828:3 0m 880 8880.805 om 8208088 0.080 82> 80823 880 it owofi «38:88 880 08030 333‘ 80.8 88088988 008888088088 82? 880% 88880888 08 3:82 <2 08 0:52 2 82 @5505 05 £352 8:020 0888 0c 855382.800 a 80.8 8008 .80 82808880809 <2 3 82 .. 05352 as 393 <2 8000 2.8m 80250 80:56 525028 @8008 .80 8088mm 08:88 8802880 08 880888 A8.80808 802.382-8800: 80802888M88.00 _080,m008000 8082i 880 Sand mmém 880 808080 82000 E80882 wfl 08.08 083 £8030 .0220 8338. E08088 008088.808 888003 880% 8888088: 08 82:82 88.85“. . _ _. _ g»: H , .. 58:88.8 .. .. .. . ., 088?, . 8.088805. 9.300% .62. P888008, . 80808230880838, 8030b. 8.8380888. 83:080me 8m 80:88:00» .. 8 .~ 03g 3280.8 880 80808 8020882 @8800: 08 8023 82808250808 200822880 80.8 0808 28008928 A0_00m-<86 8028802 @8002 <2 .32 m88008m80 $08.80 80808000> 8m 32 880882 880 8880002 <2 .80 200m 8088288800082 880 88000 008208038 0 8 888880 8:020 28 <2 002 88008 .20 300 00 mm away 8080203 880 8880> 88088"! 80.8 88088082 802880: 8.8002 20828080 880 08280823068 G5 <2 we $2 28 .3808an doc—55 mzsc< oogncotom E< wctaom £13 a E23 2“ macs: , EWEE 33 mt? 2508053 can 353E maisom 950.85 8 896m 5.“ <2 82:08 £2.» wagon mo 3.: <2 32 4 Ewwam van 2030 <2 b.8535 coca—Eaton mgom 53> 5:25.38 5 won: on oh Gama 5238/ $6588 - bug—m 2: <2 32 wagon m0 £033 2 $2 58863 28 on> area—m 8m b08025 @865: wctuom 1253080 98 Raoumafiéfiom 225 box?“ 8 85%an mficoflom uofiwm§-m:tmon 6228.2388an 3:88:80 topzsom Eton vomSoM -Eflv @3332 I om was Ecofloq 368 €285 oo So— 98 .2530 £an 33c< 38:02: oocascotom macs: £83m wcfimuoccn 8 32:2 augnnzou» .. N .~ “task 11 $0— m00000 .«0 800000 ms: 000 0000003 2080 as? <2 mm 0002 8000803 .008302 $80< 00.“ 0008082 0006002 8.0002 .0000080 000 000003040208 90898: 00000—3 00 000: 000350 000 02900000 00000808800 0002030 0 8005 <2 8088558 22006 <2 82 Ba 0:00 0298 £32 280 :20 88256500 ”0.“: 2:00 300.80 000— M00000 30: . 08mg 20 w0t00: 000 .8050 8008080 .23 080000000 .00: mo 3:030 00208098805808 £043 0 0000000000 M00002.“ 2 088008000350 3 $2 36on <2 0o 300 20302 .6082 52000800 ”002000 00m 8080 2082080 <2 88.033 05 082080 : 002 a 5050 as 0800 <2 {8: 2< 0880 80000 .8: E0 @8000 0000003 800000 80808 000 60000000 402000000200 “000080800 00: E0 @800; @2225“: 003 E< @000: <2 3.038300 85880 2: : $2 $82 Ea v0820 £32 0828.0 50 280 08030 0000028 >08 05 800000 0:02 0025880 .3 038 12 0.0.2 w80000 00 30000.0 w02 000 .003000H 6-880 00_m._0> w080000m - ”£0000. <2 2 0000 8000803 .008302 380.0 000 000802.: 0030002 w0000m 0000080 000 00000002068 00.008020 00000000 m0t000 00000 9223 m 8000 00000000 00 000003800 0 00:00 200m m800000m 00000—500000 <2 00 0038 8030.022 : 82 20 .0502 0202 £22 05< 8:02.550? 0000 000 0000 00300040 00000000 00000.» 00000002 Amid 200m 808030080 <2 0 08030.5 3 :8 as .080. <2 52 05 .2255 .50 <2 082 E50035 00 000000000 00 00000fimm 920.0 <2 0083 8 82 22:00 Ba 50 <2 0050 2< 0:080 00 2020 E0 w0t00: 00 0008000000.:0m 000000 00 00008000 000 000000 00 000002830 .0200 00000m0_000 .0000 0000000 00000000050 00000808800 A0305 00008000000 <2 00 as .0303 5:80 .022 8 82 205:0 0; V50 0500 E< 0:08: 00 2020 E0 w0t00: 00 808$0$0£0m «00:20:00» .. N .N 030.0 13 000000 0000 00 00000 00 0000 03830 000 .0000 00000w0000 . . 0030.20 0250 2< <2 0000000000000 0200 00 00000 0N 300 00000002 000 200 <2 $0003.00 0—0000 00003000000 -808800 .00 0000 ”02000000 000 0 _.. 300me $000000.» 00000 0 0800.00 05 02000 .0000 0.0 000:0 0080 280 <2 000.3% 2208.0. 2 00 8 0.02 .282 £2.00 .300 <2 080050 0:0 0:020 0:080 00000000 M00300? 00000000 00 .0. 0.0002030 000 .000w0000 3008000 000 00003m <2 <2 <2 83 0000005 .0000w8m <2 8 083 000000 900000000 3000.0 A000 00000 028020 00 0800300 08000 0 8 0: 82 200 .0802 .800 <2 00 280 80800 05000 <2 00 a: 00000 0000 0000000000 00000 . 000020 8-2 000 32206 000000300 - 00 080 0000800 00 3803 0:2 002 02203 00%. 0250 232 080030 0:008: 08500:: N -mm 0000000000 000 00000030000008 0.0.00.0. . . . . $000000 .. _ .0 . .0 00000000003000.0040, , 30.0000. 0 0.000070000000300. 000000000 000000000. unnumH. . 3.00.0qu 0.039.000“ . 00:50:80 .0 .0 0300 15 . a2 §§§3 33 Eng SEQ s 3.5 8 K Q2 Seuss; s 3.3% “32 .396 5 ESQ H2: 5:3qu Ba 5:3 5 RE w .3: .3: E 3.5 ® .32 .238sz 38 29$ 5 3.6 .. 63588 B: n ”2 “cocoa Em watmo: 98 .3: Eu wagon .9865: 98 5:386 coucoiofifioa £2336 mo 55322 $33 3 <2 833:5. voEoQQm¢ocoum= V was 02 263.52: £25m 2233?. mass: 5888 E Sm 2 ab 33 88:86 <2 E< was 5:585 wage: some 80:83 N. 8me fl E35 355 \ , ,, . , avg {cud—sack . . . . 19.332 "£83m bwwfigm 33.855 @555 , . 05a» 33> aroma—98355:ng 39.? §§a§9 a .N fifl 16 Chapter 2 Review of Literature Hearing Handicap Inventory for the Elderly Ventry and Weinstein (1982) developed the Hearing Handicap Inventory for the Elderly (HHIE; Appendix A) to assess the emotional and social adjustment of elderly people (age 65 years or older) to a hearing loss. It is comprised of two subscales: emotional reactions to a hearing loss (emotional subscale) and how social situations are affected by a hearing loss (social-situational subscale) to conform to their hypothesis that a hearing impairment becomes a hearing handicap “when it affects behavior and when it affects the emotional well-being of the hearing-impaired person.” (Ventry and Weinstein, 1982, p. 129). Thirteen of the 25 questions assess social-situational reactions (abbreviated S), and the remaining 12 assess emotional reactions (abbreviated E). Respondents are to answer Yes, Sometimes, or No to each question. A hearing handicap score is calculated by summing all responses, where each Yes response is worth 4 points, each Sometimes response is worth 2 points, and each No response is worth 0 (zero) points. Scores for each subscale (S and E) can be calculated separately and/or conjointly. A Not Applicable category is not included as a possible response. Although all emotional questions would be applicable, not all situations may be applicable to every individual. Respondents are encouraged to answer even those questions involving situations that they either avoid or do not experience. In essence, they are encouraged to respond as if they were to engage in 17 those specific activities. The maximum score on the I-IHIE is 100 points. The higher the patient’s score, the more the patient perceives a hearing handicap. An I-II-IIE score of 16 or less, or 16% or less, is taken to indicate no handicap, 17%-42% represents a mild handicap, and a score of 43% or greater indicates a significant handicap (Weinstein and Ventry, 1983). A score of 18 or greater, therefore, is indicative of a substantial self- perceived hearing handicap. The Hearing Handicap Inventory for the Elderly—Screening version (HHIE-S; Appendix B) is an abbreviated version of the HHIE (Ventry and Weinstein, 1983). It consists of 10 questions, compared to the 25 questions of the HHIE. The two sub- categories, emotional and social-situational reactions to a hearing loss, are still represented in the screening version, and scoring is performed in essentially the same way as for the HHIE. The highest possible score on the HHIE-S, however, is 40. A cutoff of 8 is used to distinguish those who do not have a hearing handicap from those who do. Scores of 0-8 represent no perceived handicap, while scores of 10-40 represent proportionally higher degrees of perceived handicap. In a study of the validation of screening tools by Lichtenstein, Bess, and Logan (1988b), subjects with an HHIE-S score of 0-8 had a 13% probability of having a hearing impairment, scores of 10-24 were associated with a 50% probability of having a hearing impairment, and scores of 26 or more were associated with an 84% probability of having a hearing impairment. The sensitivity, the degree to which a measure correctly identifies impairment, and the specificity, the degree to which a measure correctly identifies the absence of impairment, were evaluated against Ventry and 18 Weinstein’s (1982 and 1983) pure tone criteria. Those pure tone criteria were defined as follows: a subject had a hearing impairment if the subject had a hearing loss of 40 dB HL or greater for either 1000 or 2000 Hz in both ears, or the subject had a hearing loss of 40 dB HL or greater at 1000 and 2000 Hz in the same ear. With a score of 8 as a cutoff point, the HHIE-S had sensitivities ranging from 53 - 72% and specificities ranging from 70 - 84% (Lichtenstein, Bess, and Logan, 1988a). Ventry and Weinstein (1982) found the HHIE to be a highly reliable measure of hearing handicap, with reliability coefficients (alphas) ranging from 0.88 to 0.95. For subjects 65 years old and older, the mean HHIE score was about 30, with a range between 0 and 98. This range indicates that the degree of hearing handicap cannot be measured directly from audiometric data and that individuals react very differently to hearing impairment. Ventry and Weinstein (1983) found that pure tone sensitivity measures accounted for 3 1-3 8% of the variance in the total HHIE score, as well as in the emotional and social-situational subscales. Speech recognition ability accounted for only 14-20% of the variance in HHIE scores. Matthews, Lee, Mills, and Schum (1990) also found a low correspondence between audiometric measures of hearing handicap and self-reported hearing handicap as measured by the HHIE. The correlations between pure tone thresholds and self-reported hearing handicap ranged from 0.39 to 0.63. Audiometric pure tone thresholds were found to account for approximately 40% of the variance in HHIE scores. 19 Ventry and Weinstein (1983) studied the relationship between audiometric data (pure tone sensitivity and word recognition ability) and HHIE scores. They found that as hearing loss increased, as measured by pure tone sensitivity, the HHIE score also increased. Results, however, were extremely variable. Listeners who had pure tone averages between 26 dB HL and 40 dB HL (a mild hearing loss) in the better car had the most variable response on the HHIE. Of those listeners, 54% perceived little or no handicap, 46% perceived some degree of hearing handicap, and 16% of that 46% perceived significant hearing handicap. The degree of perceived handicap was defined by the HHIE score. A score of 0—16% was considered no handicap, a score of 18-42% was considered a mild to moderate handicap, and a score of greater than 42% was considered a significant handicap. Pure tone averages greater than 40 dB HL were associated with a sharp increase in HHIE scores. As the pure tone averages approached the normal range, there was a sharp decrease in HHIE scores. There was an even weaker correlation between word recognition scores and HHIE scores than was found between pure tone averages and HHIE scores. These results are not unexpected given the poor reliability of word recognition scores based on a tradeoff between measurement error and sample size, as described by Thornton and Raffin (1978). Weinstein, Spitzer, and Ventry (1986) fiirther assessed the test-retest reliability of the HHIE. The original HHIE can be administered by two methods: either face-to-face or via a pencil-and-paper version. The face-to-face administration involves the clinician’s asking the HHI questions verbally in an interview situation. The pencil—and-paper version 20 is given to the patient for him or her to read and complete, either in the clinic or at home. Both methods were found to have high test-retest reliability. For the face-to-face administration approach, the reliability coefficients for the total score and the two subscales ranged from 0.92 to 0.96. For the pencil-and-paper administration approach, the reliability coefficients for the total score and the two subscales ranged fi'om 0.79 (just below a value considered to be acceptable) to 0.84. The reliability of the total score for the pencil-and-paper method was 0.84. The high test-retest reliability for both administration approaches indicates that the self-assessment scale can be used to assess outcomes of aural rehabilitation. In clinical settings, the possibility exists that the clinician might verbally ask the HHIE questions, with the subsequent HHIE being completed by the pencil-and-paper administration approach. Newman and Weinstein (1989), therefore, studied the test-retest reliability of the HHIE when these two administration methods were used in combination. They found that the HHIE was highly reliable across administration approaches. The test- retest reliability for the total score was 0.94, with the two subscales having reliability coefficients of 0.91 (emotional) and 0.94 (social—situational). This finding supports the use of the HHIE as an outcome measure, even when test and retest are administered by different approaches. Malinoff and Weinstein (1989) studied the use of the HHIE as a measure of hearing aid benefit in the elderly population. They found a significant reduction in HHIE scores after a three-week period of hearing aid use. Due to the high test-retest reliability of 21 the HHIE, the reduction in scores was indicative that the fitting of hearing aids had a positive effect on the elderly population tested, and consequently on measured HHIE scores. Taylor (1993) also found that after three weeks of hearing aid use, patients’ HHIE scores decreased significantly. Weinstein (1991) found a similar decrease in HHIE-S scores after a three-week period. These studies suggest that the decrease in HHIE and HHIE-S scores reflects a reduction in self-perceived hearing handicap, and that, given the high test-retest reliability of these self-assessment scales, the perceived changes in hearing handicap could be attributed to successful aural rehabilitation. Bess (1995) reported that non-wearers of hearing aids had lower HHIE-S scores than wearers of hearing aids, irrespective of degree of hearing loss. As the pure tone average in the better ear increased, the HHIE-S score also increased. For all pure tone average levels, however, the subjects who did not wear hearing aids consistently had lower HHIE-S scores than subjects who chose to pursue amplification. Bess attributed this finding to the fact that hearing-impaired persons who chose not to pursue amplification typically had milder degrees of hearing impairment. Newman, Jacobson, Hug, Weinstein, and Malinoff (1991) showed that an HHIE-S score of 18 or more was notably related to successfiil hearing aid use. More specifically, they found significant improvement in the perceived emotional and social-situational effects of hearing impairment, based on change in HHIE-S scores, following short- and long-term hearing aid use in clinical patients having pre-aided HHIE-S scores of 18 or 22 more. In the same study, Newman et al. also established a 95 percent confidence interval of 9.3 for use in assessing a true change in perceived handicap between two administrations of the HHIE-S. They recommended that the 9.3 value be rounded up to 10 for clinical purposes. A score obtained on the screening inventory after a hearing aid fitting, therefore, would have to be lower by 10 or more than the pre-fitting score for the fitting to be considered beneficial. The HHIE and the HHIE-S have the potential for use as screening tools for hearing loss in the elderly population (Lichtenstein, Bess and Logan, 1988b; Bess, 1995). Mulrow, Tuley, and Aguiar (1990) evaluated the use of both the long and short versions of two different self-assessment scales in hearing screening. One set of scales compared was the Hearing Handicap Inventory for the Elderly (HHIE) and its companion short version, the HHIE-S. The other was the Revised Quantified Denver Scale of Communication Function (RQDS) and its short version, the RQDS -S. The authors found the discriminative ability, or sensitivity, for correctly identifying hearing loss for the scales to be as follows: HHIE - 78%, HHIE-S - 79%, RQDS - 73%, and RQDS-S - 74%. Using the HHIE-S cutoff points for identifying people with hearing handicap and those without hearing handicap, as defined by Ventry and Weinstein (1983), and comparing to corresponding cutoff points on the RQDS-S, the HHIE-S identified significantly more true positives than the RQDS-S. At lower cutoff points, the difference between the two scales in identifying true positives was not statistically significant. The authors concluded that: (1) the short versions of both scales were as clinically effective as the long-version 23 counterparts, and (2) the HHIE-S was a superior and versatile tool for use both in hearing screening and as an outcome measure. Lichtenstein, Bess, and Logan (1988a) also studied the performance of the HHIE- S against differing definitions of hearing loss. Patients over the age of 65 years from offices of four primary-care internists’ practices in the Nashville, Tennessee, area participated in the study. The differing definitions of hearing loss included: Pure tone Audiometry (1982 and 1983, criteria), Speech Frequency Pure Tone Average (SFPTA), High Frequency Pure Tone Average (HFPTA), Speech Reception Threshold (SRT), and Speech Recognition (Word Recognition Score). Different cutoff points were initially chosen (2, 8, 16, and 24) to generate receiver-operating curves. The investigators found that those subjects with HHIE-S scores of 0—8 had likelihood ratios between 0.36 and 0.55. Likelihood ratios less than 1.0 are associated with a reduced probability that hearing loss is present. For the HHIE-S scores of 10-24 and 26-40, their data resulted in likelihood ratios ranging from 1.46 - 2.71 and 4.16 - 23.19, respectively. Raising the cutoff point increased the probability that individuals were categorized as hearing impaired, regardless of the definition of hearing loss. The sensitivity and specificity were specified for the various definitions of hearing loss. With the cutoff point set to 8, the sensitivities for the HHIE-S for the differing definitions of hearing impairment were as follows: Ventry and Weinstein pure tone criteria = 72%, SFPTA = 66%, HFPTA = 53%, SRT = 62%, and Speech Recognition (Word Recognition Score) = 63%. The specificities for the HHIE-S for the differing definitions of hearing impairment were as follows: Ventry 24 and Weinstein pure tone criteria = 77%, SFPTA = 79%, I-IFPTA = 84%, SRT = 72%, and Speech Recognition = 72%. The authors concluded that the HHIE-S was a robust tool for screening hearing loss in the elderly population. In another study by Lichtenstein, Bess, and Logan (1988b), sensitivity and specificity of the HHIE-S were analyzed for patients at two differing test locations: the hearing center and the physician’s office. With a cutoff of 8 on the HHIE-S, the sensitivities were 72% and 76%, and the specificities were 77% and 71%, for the hearing center and the doctor’s office, respectively. When the cutofl’ was raised to 24 on the HHIE-S, the sensitivities were 24% and 30% and the specificities were 98% and 96%, for the respective locations. The best results with respect to identifying hearing loss were found with the use of a Welch-Allyn Audioscope® in combination with the HHIE-S.l Test accuracy increased to 83% with the use of both instruments, but each tool separately (PIPHE-S and the Audioscope) was shown to provide a valid, reliable, and inexpensive means for screening hearing loss in the elderly population. Hearing Handicap Inventory for Adults The Hearing Handicap Inventory for Adults (HHIA; Appendix C) was developed in 1990 by Newman, Weinstein, Jacobson, and Hug for use with adults under the age of 65 years. This Hearing Handicap Inventory is similar to the HHIE. Three questions were changed from the HHIE to account for the differing, primarily occupational, situations that younger adults experience as compared to elderly adults (who are typically retired). Like ‘ This instrument is a portable otoscope capable of generating tones at 25 dB HL or 40 dB I-IL at 500 Hz, 1000 Hz, 2000 Hz, and 4000 Hz. 25 the HHIE, the HHIA has two subscales: social-situational reactions to a hearing loss and emotional reactions to a hearing loss. As with the HHIE, 13 questions address the social- situational reactions to a hearing loss and 12 questions address the emotional reactions to a hearing loss, for a total of 25 questions. The HHIA is scored the same way as the HHIE. The maximum possible score is 100, which represents the strongest perception of hearing handicap. The points are totaled to produce an overall score, and subtotals can be calculated for each of the two subscales. The screening version of the HHIA, the HHIA-S (Appendix D), was developed by Newman, Weinstein, Jacobson, and Hug (1991). It consists of 10 questions taken from the original 25 questions of the HHIA. The HHIA-S contains 8 of the 10 HHIE-S questions; thus only two questions differ between the HHIE-S and the HHIA-S. The maximum score for the HHIA-S, as with the HHIE-S, is 40 points. Newman et al. (1990) studied the psychometric adequacy and the audiometric correlates of the HHIA. They found high internal consistency reliability (0.93 for the total HHIA score) and a low standard error of measurement. The coefficient alpha for the social-situational subscale was 0.85, and for the emotional subscale, 0.88. There was a weak, but statistically significant, relationship between the HHIA scores and pure tone sensitivity (based on SFPTA and I-IFPTA). Newman et al. found reliability coefficients to range fiom 0.29 - 0.35. There was also a weak negative, yet statistically significant, relationship between HHIA scores and Word Recognition Scores (-0.26 to -0.28). Newman et al. concluded that because the pure tone sensitivity and the Word Recognition 26 Scores did not account for the large variation in the HHIA scores, it is important to evaluate the patient’s own reaction to his or her hearing loss. The range of scores obtained was 0-90 points, indicating a broad range of self-perceived hearing handicap. These findings substantiated earlier findings, based on work with the HHIE (and reported above), that audiometric measures alone are insuflicient to predict a patient’s reaction to a hearing loss. Newman et al. (1991) evaluated the test-retest reliability of the HHIA and the HHIA-S. Their purpose was to evaluate the efficacy of using the HHIA as a measure of aural rehabilitation outcomes, such as hearing aid benefit. The test-retest reliability of the HHIA was high, with rs ranging from 0.93 to 0.97. The correlation coefficients for the HHIA-S were also good, with a range from 0.82 to 0.93. The standard error of measurement was low for both the HHIA and the HHIA-S. Newman et al. concluded that the HHIA and the HHIA-S can be used as outcome measures due to the two self- assessment scales’ high test-retest reliability. O’Rouke, Britten, Hill, and Malson (1996) investigated the potential of the HHIA as a hearing screening tool, in effect as a replacement for audiometric screening. They found the internal consistency reliability (Chronbach’s alpha) to be high (0.91). The two subscales’ internal consistency reliability was also high, 0.82 and 0.84 for the emotional and social-situational subscales, respectively. Coefficient alphas for the HHIE-S and the social-situational subscale were 0.85 and 0.84, respectively. Coefficient alpha, however, for the emotional subscale was substantially lower—0.35. This latter finding contrasts with 27 that of earlier studies and no explanation for the low number was offered. The authors found that subjects who failed the audiological screening scored significantly higher on the HHIA and the HHIA-S than subjects who passed the audiological screening. They expressed their belief that the HHIA and HHIA-S have the potential to be USCfiJl additions to a hearing screening protocol for adults, and that the scales may be particularly useful when ambient noise levels are too high for traditional pure tone audiometric screening. Multimedia Hearing Handicap Inventory The Multimedia Hearing Handicap Inventory (MHHI), developed by Punch and Weinstein (1996), incorporates the HHIA-S and the HHIE-S into an interactive program for use in a multimedia environment. Currently, a PC with a Windows 95/98 operating system is required to run the program, which is commercially available. The Inventory is stored on a CD-ROM, and runs fi'om the disk. For each social-situational question, there is an option to view a video illustration of the type of situation to which the question refers, and for each emotional question, the respondent has the option to have the question rephrased. The MHHI can be taken with reference to either an unaided or aided listening condition. At the time of program installation, selected information is stored on the system hard drive, and key data produced by the program during its administration are stored on a database that resides on the hard drive. The MHHI is compartmentalized into a long program (LP) and a short program (SP). The long program provides an educational context in which either the HHIA-S or HHIE-S, depending on the respondent’s age range, is embedded. Basic information about 28 hearing loss and, for those who need it, a brief introduction to the computer, occur early in the long program. Following the questionnaire, respondents can view a section on Treatments for Hearing Impairment. Finally, an individualized Hearing Profile can be printed out, which the respondent can take home. By incorporating counseling information in the context of an educational framework, and providing written recommendations for follow-up, the MHHI is consistent with the Health Belief Model (Janz & Becker, 1984; Rosenstock, 1990). This model suggests that patients are likely to comply with medical recommendations when they consider themselves vulnerable to a particular condition, when the condition is perceived as having serious medical or social consequences, when they perceive benefits from seeking assistance, and when they perceive that few barriers to compliance exist. To maximize the applicability of the Health Belief Model, the developers suggest that respondents be encouraged to view the Multimedia HHI in its entirety (i.e., the long program). In the long program, the respondent can select a male or female talker as the narrator. The text that the male or female talker narrates is also visible for the subject to read at the same time through open captioning at the bottom of the computer monitor. The long program takes about 15-20 minutes to complete. Patients answer each of the 10 questions in the questionnaire portion by clicking (with the mouse) on either Yes, Sometimes, or No, which have respective weights of 4, 2, and 0. The computer automatically calculates and stores the S, E, and total (T) scores. A Hearing Profile 29 containing the respondent’s total hearing handicap score and individualized follow-up recommendations is printed out at the end of the questionnaire. The specific components of the long program are described in Appendix E. The short program of the MHHI consists of only the MHHI Questionnaire and the Hearing Profile. It bypasses the introductory information and goes directly to the HHIA-S or the HHIE-S, depending on the age selected. It utilizes the male voice as the default and, like the long version, all text narrated by the male talker is available for the subject to read at the bottom of the computer monitor. The short program takes approximately two minutes to complete. As shown in Table 2.1, the Hearing Profile consists of one of eight possible semi- customized sets of recommendations, based on whether or not the given respondent has previously completed the questionnaire, whether the hearing handicap score is 0-8 or 10- 40, and whether the condition referred to is unaided or aided. Components of the Hearing Profile are detailed in Appendix F. Respondents who have taken the MHHI Questionnaire Table 2.1: Hearing Profile contingencies. Profile Score“ Database Aided 1 0-8 No Unaided 2 0-8 No Aided 3 0-8 Yes Unaided 4 0-8 Yes Aided 5 10-40 No Unaided 6 10-40 No Aided 7 10-40 Yes Unaided 8 10-40 Yes Aided *There are no odd-numbered scores, such as 9, because response values are based on even numbers (i.e., Yes = 4, Sometimes = 2, No = 0), and the total score is derived by summing these values. 30 previously (with results stored on the database) are informed of their hearing handicap score on the most recent test date, as well as their current score. Profiles 1 and 3 (Table 2.1) are ones in which unaided respondents who have low hearing handicap scores are recommended to retake the questionnaire in one year, and to contact their audiologist or physician if they feel they have a problem that afl‘ects their hearing. Profiles 2 and 4 are ones in which aided respondents are told that their scores indicate that they are performing well with their hearing aid(s). Respondents who receive Profiles 5 and 7 are considered candidates for hearing or hearing aid evaluations, and are referred to an audiologist. Respondents who receive Profiles 6 and 8 are informed that they are experiencing hearing problems even with their hearing aids, and that they should consider repair or replacement of their current aid(s), or additional interventions to supplement their hearing aids. For individuals who have previously viewed either the short or long program, their Profiles note their most recent score, and provide critical-difference information (in lay terms, based on data from paper-and-pencil versions of the HHI) that will assist them in determining whether the previous score is substantially different from the current score. The design and substantive content of the eight possible Hearing Profiles are given in Appendix G. For each respondent, the MHHI stores 23 data items to the system’s hard drive on a given test date: (1)-(10) weights representing answers to the 10 respective questionnaire items, (Yes=4; Sometimes=2; No=0), (11) total B, the total emotional-item score, (12) total S, the total social-situational-item score, (13) total, the total B + S score, used in 31 interpreting the printed Hearing Profile, (14) listening condition (Unaided; Aided), (15) age (Below 40; 40 to 60; 61 to 80; Above 80), (16) respondent’s name, (17) respondent’s ID number, (18) date, (19) time, (20) voice gender (Male; Female) preferred by the respondent, (21) number of times ILLUSTRATE button was accessed, (22) number of times REPI-{RASE button was accessed, and (23) whether the long program (LP) or short program (SP) was accessed. The examiner’s name, title, address, and phone number are stored on the hard drive, apart fiom the database information, and printed out as part of the Hearing Profile for use as contact information for the respondent. For retrieval purposes, the above data items are stored on the database as comma- delimited text. This allows a simple means of importing the data to a database, statistical package, spreadsheet, or word processing application of the user’s choice. Such importation is essential to the reporting and analysis of aggregate or longitudinal data, but is not necessary for routine clinical use. The database information was used as a primary source of data for the analyses in this study. This experiment sought to answer two primary questions concerning the use of the Multimedia Hearing Handicap Inventory: (1) Does the MHHI, when administered on a test-retest basis, provide a reliable measure of perceived hearing handicap in populations of young and elderly adults? (2) What is (are) the 95 percent critical-difference value(s) that may be used to evaluate the significance of differences in pre- and post-intervention MHHI scores? 32 Several additional questions were of secondary interest in the experiment: (1) How favorably do subjects react to the design and functional utility of the MHHI? (2) To what extent are the educational and socioeconomic levels of the subjects, and their general familiarity with computers and other technologies, associated with these reactions? (3) Given the limited subject sample in this study, what evidence is available to suggest that the MHHI provides a valid predictive measure for screening hearing loss in young and elderly adults? 33 Chapter 3 Method Overview In two separate test sessions, adults with a range of hearing sensitivity were administered a case history, one of three test-retest sequences of the Multimedia HHI (MHHI), and a battery of routine audiologic measures. Case history information and audiologic data were used to determine eligibility for participation in the study and for inclusion in specific components of the data analyses. Analyses related to the assessment of predictive validity were confined to 27 subjects, while the remaining analyses were conducted on all 36 subjects. Subjects Subjects were recruited from the greater Lansing, Michigan, community. They were recruited from the patient caseload of the Oyer Speech-Language-Hearing Clinic of Michigan State University, the membership of the East Lansing Senior Center, and from student and subject referrals. The subjects were 18 men and 18 women, for a total of 36. Subjects were randomly assigned to one of three subject groups, based on test-retest sequence: Long Program/ Short Program (LP/ SP), Short Program/ Short Program (SP/SP), or Short Program/Long Program (SP/LP). It was required, however, that six men and six women be assigned to each of the three groups, for a total of 12 per group, and that an equal number of adult and elderly adult subjects be administered the respective components of 34 the MHHI Questionnaire. For purposes of the study, adults were considered those aged 60 or younger, while elderly adults were considered those aged 61 years or older.2 Eighteen of the subjects qualified as elderly, with this subgroup consisting of 7 males and 11 females. Of the remaining 18 qualifying as non-elderly adults, 7 were females and 11 were males. A breakdown of subjects by gender and group is shown in Table 3.1. Table 3.1: Distribution of male and female subjects in each test group, subdivided by adult subjects fll/[HHI—A) or elderly adult subjects (Il/IHHI-E). Group Number of Males Number of Females LP/SP 6 6 SP/SP 6 6 SP/LP 6 6 MHHI-E 7 11 MHHI-A 11 Total 18 18 The 36 subjects ranged in age fiom 26-80 years. The mean ages for the three experimental groups were 61.2 for the LP/SP group, 63.6 for the SP/SP group, and 61.6 for the SP/LP group. The age distributions for the various subject groups and subgroups are given in Table 3.2. It is evident that the mean ages of adult (50.9 years) and elderly adult subjects (73 .3 years) differed considerably and that the mean ages across the three experimental groups and subgroups were highly similar. The subjects’ hearing thresholds ranged from normal hearing to moderately severe hearing impairment. Of the 36 subjects, 24 had normal hearing (three-fiequency PTA 525 dB HL), 2 This dichotomy is consistent with the design and function of the MHHI. 35 nine exhibited mild hearing impairment (>25 dB HL and 340 dB HL), two had moderate losses (>40 dB HL and 355 dB HL), and one had a moderately severe hearing loss (>55 dB HL and 570 dB HL). All hearing losses were sensorineural, as determined by air- and bone-conduction thresholds that were within no more than 10 dB of one another at each audiometric frequency for a given ear. The mean hearing thresholds for the better ear [based on the three-frequency pure tones averages or Speech Reception Thresholds (SRT)] can be seen for the three experimental groups in Figure 3.1. The mean thresholds for elderly subjects versus adult subjects are given in Figure 3.2, while the mean thresholds for male subjects versus female subjects are shown in Figure 3.3. Table 3. 2: Means and standard de viations for subjects, subdivided by inventory, gender, experimental group, and age. Group Number of Mean Age Standard Subjects Age Rang Deviation MHHI-E 18 73.3 17 (63 -80) 3.5 MHHI - A 18 50.9 33 (26 - 59) 9.6 LP / SP 12 61.2 37 (43 - 80) 14.0 SP / SP 12 63.6 42 (34 - 76) 12.3 SP/LP 12 61.6 51 (26-77) 14.7 Males 18 57.3 54 (26 - 80) 15.8 Females 18 66.6 24 (51 - 75) 8.7 LP / SP - Elderly 6 72.5 10 (70 - 80) 4.8 SP/ SP - Elderly 6 74.3 13 (63 - 76) 3.3 SP / LP - Elderly 6 73.0 6 (71 - 77) 2.2 LP / SP - Adult 6 49.8 16 (43 - 59) 10.0 SP / SP - Adult 6 52.8 24 (34 - 58) 6.6 SP / LP - Adult 6 50.2 33 (26 - 59) 12.7 36 Subjects with hearing loss and who wore hearing aids were included in the test- retest reliability study. Nine of the thirty-six subjects wore at least one hearing aid. Subjects who wore hearing aids were included in each of the three test groups. Three subjects wore monaural hearing aids in the LP/ SP test condition, four subjects wore binaural hearing aids in the SP/ SP test condition, and two subjects wore binaural hearing aids in the SP/LP test condition. Because the performance of the subjects on the MHHI may have been affected by educational and socioeconomic factors, subjects were queried about education and (as a proxy for socioeconomic status) annual income. The subjects’ educational levels are shown in Table 3.3. The educational levels of the subjects varied from not completing high school to completing professional and doctoral degrees. While 2.8% had not completed high school, 30.6% of the subjects had at least one year of college, 41.7% had bachelor’s degrees, 13.9% had master’s degrees, and 11.1% had either professional or doctoral degrees. The relatively high levels of education in the overall sample reflect the fact that most of the subjects were recruited within the community that included or surrounded Michigan State University. Subjects’ mean annual income levels are given in Table 3.4. The modal income (30.6%) was $30,000-$50,000. For 13.9% of the subjects, annual incomes of $30,000 or under were reported, while 22.2% and 25%, respectively, reported incomes of $50,000- $75,000 and $75,000 or more. Incomes were not reported by 8.3% of the subjects. 37 Frequency (Hz) 250 500 1000 2000 4000 8000 ~10 0 10 +I.P/SP 201 \ +sp/sp +SP/LP 30 53 4° \ E 50 \ .3 N E." 6° 3- 3 70 a: so 90 1(1) 110 120 Figure 3.1: Mean air-conduction audiometric thresholds for the better ears of the experimental groups. Each group included 12 subjects, six of whom were adults and six of whom were elderly adults, classified as described in the text. 38 Hearing Level (dB) Frequency (HI) 8000 —o—Elderly — - o~— (lower)-1 SD ——0--(upper)+l SD +Adults H-.. (lower)-l SD ---u--- (upper)+1 SD 250 500 2000 4000 -10 4 1 i 0 i """"""""""" ‘-. 'fi ~ 10 r- ‘ ....... "fi \.\ "-, \k ‘\ \ - n". ‘\L 40 ‘-\ u i .\- ".n '\l_\ ‘ . \t 50 i \. '. ‘~ \ 60 a ‘ \. ‘- ‘D. 70 ‘\. ‘\ r MD “0 120 Figure 3.2: Mean air-conduction audiometric thresholds for the better ears of adult and elderly adult subjects. Each group included 18 subjects. 39 Frequency (Hz) 250 500 1000 2000 4000 3000 -10 g 0.1 __________ - #__,_A? 10 _ _ g a.-___ 20 a .-n‘. R kfl~—-_—fi.§ 30‘ ' i. (Male 5 L\‘.».\“M> ‘.\.\~ \ 1’ —_....‘_(10wer)-1 SD 3 ' : _ - -I- . . (upper) +1 SD 0 3‘ ‘ +Female A E” 60 .. s. __.C_ (lower)-1 SD .5 __ 4..- (upper)+1 SD 5 70 in g "‘8 100 110 120 Figure 3. 3: Mean air-conduction audiometric thresholds for the better ears of male and female subjects. Each group included 18 subjects. 40 Table 3. 3: Subjects’ educational levels. Educational Level Number Percentage Did not complete High School 1 2.8 % One or more years of college 11 30.6 % Bachelor’s Degree 15 41.7 % Master’s Degree 5 13.9 % Professional Degree or 11.1 % Doctoral Degree 4 Total 36 100.1 % Table 3. 4: Subjects’ annual net incomes. Income Number Percentage $0-$15,000 2 5.6% $15, 000 - $ 30,000 3 8.3 % $ 30,000 - $ 50,000 11 30.6 % $ 50,000 - $ 75,000 8 22.2 % $ 75,000 or more 9 25.0 % No Response 3 8.3 % Total 36 100.0 % T est-Retest Sequences Recall that the three experimental groups were: 1. Test - Long Program / Retest - Short Program (LP/SP) 2. Test - Short Program / Retest - Short Program (SP/SP) 3. Test - Short Program / Retest - Long Program (SP/LP) Any of these test sequences is likely to occur in a clinical setting. Although the developers of the MHHI (Punch and Weinstein, 1996) regard the LP/SP condition as the most preferred, the other two sequences are included because they are very likely possibilities in some clinical settings. For example, the SP condition may be administered 41 as a screening measure of hearing handicap within or outside a hearing clinic, and the LP condition administered during an audiologic follow-up. To save time, some examiners might employ the SP/ SP sequence. Because an LP/LP sequence is less likely to occur clinically, particularly within the three-week test-retest interval used in this investigation, it was not included as an experimental sequence. Audiologic Evaluation All audiometric testing was conducted bilaterally for each potential subject at the Oyer Speech-Language-Hearing Clinic, Michigan State University, in one of the Clinic’s audiometric sound rooms. Otoscopy was first performed on each subject. Pure tone and speech audiometric testing was then performed using the GSI-16 audiometer equipped with Telephonics TDH-39 headphones and a Radioear B-71 bone-conduction receiver. SRTs were obtained utilizing CID W-l spondee words (I-Iirsh, Davis, Silverrnan, Reynolds, Eldert, and Benson, 1952) and word recognition scores were obtained using List l-A and l-B of the NU-6 monosyllabic words (Tillman and Carhart, 1966). Audio CD recordings (Auditech of St. Louis) of these speech audiometric materials were used. Tympanograms were obtained with the GSI-33 immittance bridge, which was located in a quiet area outside the audiometric sound room. Electroacoustic analysis of any hearing aids worn by the subjects was performed using the Fonix 6500-C Hearing Aid Test System. Calibration of audiometric equipment was performed immediately prior to the experiment, and biological calibration was completed periodically throughout the experiment. In addition, a stafi‘ technologist maintained the calibration of all audiometric 42 equipment used in the study as part of a regular maintenance schedule observed in the Oyer Clinic. A multimedia-equipped PC, running at 200 MHz, with Sound Force 660 speakers and an associated inkjet printer, was used for all administrations of the MHHI. All MHHI administrations were completed in a sound-treated room designed to minimize external sound interference and internal sound reflections. The ambient noise in this room was typically around 43 dBA and 67 dBC, as measured by a Larson-Davis, Model 8008, sound level meter. Interview Materials A case history developed for the study was completed by all subjects prior to the first test session to assure their eligibility as participants. The case history questions were used to assess hearing health status, to determine possible causes of any existing hearing loss, and to establish a baseline against which to determine any change in hearing status between the first and second sessions. The case history consisted of the following questions (see Appendix H for case history form): 1. Do you think you have a hearing loss? 2. If so, was it gradual or sudden? 3. Do you notice any tinnitus (ringing or other sounds) in your ears? 4. Do you have a history of exposure to loud noises? 5. Do you have a history of ear infections? 6. Do you experience any dizziness or vertigo? 43 7. 8. 9. What medications are you currently taking? What medications have you taken in the past for a prolonged period of time (one year or more)? Have you noticed any fluctuation in your hearing in the past six months? 10. Do you currently wear hearing aids? 11. If so, how often and for how long do you wear the hearing aids? A different set of case history questions was asked during the second session to assure consistency in hearing health during the test-retest interval. This was considered necessary to rule out extraneous factors (i.e., those outside the test measures themselves) that may have confounded results and interpretation of the test-retest reliability data. The following case history information was sought at the beginning of the second visit (see Appendix I for case history form): 1. 2. Are you aware of a change in your hearing ability since the last test session? Have you had a head injury since the last session? Do you notice any tinnitus (ringing or other sounds) in your ears? Has there been any change in any medications you are taking since the last session? Do you experience any dizziness or vertigo? Have you been exposed to loud noise since the last session? If so, did you notice any tinnitus after the noise exposure? 8. Have you noticed any fluctuation in your hearing since the last session? 9. Have you acquired a new hearing aid, or aids, since the last session? 10. If so, how often and for how long do you wear it/them? 11. Has there been any change in the performance of your hearing aid(s) since the last session? An exit questionnaire was administered at the end of the second session. Questions were answered on a 5-point Likert scale (1 - 5, where 1 = strongly disagree and 5 = strongly agree) and used to assess subject perceptions of the Multimedia HHI. The following is a list of questions used in the two exit questionnaires. (The actual questionnaires, as designed for two subgroups of subjects— those who performed either the LP/ SP or SP/LP sequence or those who performed the SP/ SP sequence, respectively—are shown in Appendices J and K.) Questions included in the Short Program Exit Questionnaire were: 1. 2. The Multimedia Hearing Handicap Inventory program was easy to use. The voice was easy to hear. The voice was easy to understand. The text was easy to read. The Hearing Profile given to me at the end of the program was easy to understand. I will follow the suggestions given to me in the Hearing Profile. 45 Questions included in the Long Program Exit Questionnaire were: 1. 2. 10. ll. 12. The Multimedia Hearing Handicap Inventory program was easy to use. I found the section on use of the computer to be helpful. . I found the rephrasing of the questions helpfirl. I found the illustrations of the questions helpful. . I learned some usefirl information about hearing loss from the program. The voice was easy to hear. The voice was easy to understand. The text was easy to read. I could easily follow the directions on how to use the program. I learned some usefirl information about treatments for hearing loss. The Hearing Profile given to me at the end of the program was easy to understand. I will follow the suggestions given to me in the Hearing Profile. Three additional questions were asked of each subject at the end of the exit interview. They were asked to indicate their salary range and educational level, and to rate the extent of their level of comfort with technologies including typewriters, calculators, adding machines, and computers. 46 Procedures Approval for the use of human subjects in this study was sought and approved by Michigan State University’s Institutional Review Board (IRB). Prior to the first test session, potential subjects were either mailed or given a case history form (paper-and- pencil format), which they completed at home and mailed back to the examiner. Afier receipt of the case history, the subjects were contacted by telephone. An effort was made to clarify all Yes responses on the case history form and to interpret the responses in light of their implications for participation in the study. The experimenter then made a decision regarding the eligibility of the individual to participate, and each participating subject was asked to sign an Informed Consent Form. Subjects were not paid for their participation, but were administered all audiologic tests free of charge and offered individual counseling following the completion of all experimental procedures. Each subject was required to participate in two different test sessions (test and retest) separated by approximately a three-week interval. All subjects completed the retest exactly three weeks apart, with the exception of two subjects whose retest sessions were held three and one-half weeks after the first. Both the first and the second sessions entailed the same test protocol: case history, MHHI, and audiological evaluation. This order was fixed for two, somewhat related, reasons: (1) to conform to what might be considered a typical clinical protocol, in which the MHHI is administered prior to the hearing evaluation to serve as the basis for audiologic referral, and (2) to preclude contamination of the MMHI hearing handicap 47 score by perceptual biases that could potentially be introduced during the audiologic battery. Table 3.5 indicates those conditions that signaled ineligibility of subjects to participate in either the reliability or the validity components of the study, based on the first case history. Students and professionals in audiology or speech-language pathology were excluded from all aspects of the study. Individuals who indicated the presence of a middle ear infection or sudden hearing loss within the past three months were excluded from both the validation and the reliability components, as were any persons for whom a fluctuating hearing loss was reported or documented. Subjects who currently wore hearing aids were administered all experimental measures, but only their data bearing on the test- retest reliability study were analyzed. Thirty-six subjects qualified for the reliability analysis, while 27 qualified for the validity analysis. For subjects considered eligible for one or both analysis components, an appointment was made to complete the MHHI and an audiological evaluation. Each participating subject first completed the Multimedia HHI, with hearing aid users being instructed to answer as if they were wearing their hearing aids. A routine audiological evaluation followed, consisting of otoscopy, tympanometry, air- and bone-conduction audiometric thresholds, speech recognition thresholds (ASHA method, Asha, 1988) and word recognition testing. Test frequencies during pure tone audiometry included all audiometric fiequencies between 250 Hz - 8000 Hz for air-conduction testing, and 250 Hz - 4000 Hz for bone- conduction testing. After audiologic testing, a listening check and electroacoustic analysis 48 were performed on all hearing aids worn by subjects to determine whether the devices were working properly and appropriate for their current hearing losses. At the end of the first session, an appointment was made for the second session. The second visit started with a paper-and-pencil case history, completed by the subject. If the subject indicated any of the following conditions since the first evaluation, the subject was excluded from the test-retest reliability study: a significant hearing change, a head injury, tinnitus that was not present on the first case history, new hearing aids, a current hearing aid that was not functioning properly, or new medications that were potentially ototoxic. The case history was followed by the MHHI. An abbreviated audiometric evaluation, consisting of air- conduction thresholds and tympanometry, was then administered. For hearing aid users, the examiner performed a listening check and electroacoustic analysis of their hearing aids. The subjects completed a paper-and-pencil exit questionnaire. Lastly, the examiner answered any questions the subjects had about the purpose of the study, and counseled them with respect to their audiological findings and clinical follow-up recommendations.4 The printed Hearing Profiles from the MHHI test and retest sessions were made available to the subjects at the end of the experiment. 4 All experimental procedures for patients of the Oyer Speech-Language-Hearing Clinic were administered in the context of any ongoing hearing and hearing aid evaluation appointments. Any new hearing aid fittings, however, were delayed until afier the completion of all experimental prowdures. 49 Table 3.5: Bases for eliminating subjects fiom test-retest reliability analysis and validity analyses, based on first case history. Current or recent rmddle ear Current or recent rmddle ear infectionsLA/ithin last 3 months) infections (within last 3 months) Sudden hearing loss (within last 3 Sudden hearing loss (within last 3 months) months) Reported or documented fluctuating Reported or documented fluctuating hearing loss hearing loss Current hearing aid users3 Students or professionals in Students or professionals in Audiology or Speech-Language Audiology or Speech-Language Pathology Pathology Some subjects were excluded fiom the reliability analysis despite their completion of both test sessions. Such exclusion arose from factors related to information derived from their second case history or from results of the two hearing evaluations or two analyses of hearing aid performance. The bases for excluding subjects fiom the test-retest reliability study are shown in Table 3.6. Significant health changes were characterized by any of the following conditions: 1. Subjects with a cold and exhibiting Type B or Type C tympanograms 3 The experimental question with respect to validity was whether the MHHI, a measure of hearing handicap, is capable of identifying hearing impairment. Subjects who wear hearing aids may be presumed to have a hearing impairment and to admit it readily, particularly if asked to respond as if they were unaided. To obtain those data for the validity analysis, the examiner would have had to instruct them to refer to the unaided listening condition. That condition may be far removed from their immediate everyday (aided) experience and they may have had difficulty in reporting their perceptions based on unaided listening. In the reliability study, the examiner would have had to ask them to refer to the aided condition on the MHHI. It was decided, therefore, not to have hearing aid wearers participate in the validity study. 50 2. Subjects with a head injury since the first session and experiencing any of the following: tinnitus, dizziness, or vertigo 3. Subjects who were exposed to loud noise with post-exposure tinnitus 4. Subjects who noticed a fluctuating hearing loss 5. Subjects who had started taking potentially ototoxic medication(s) since first session 6. Subjects who perceived a change in their hearing status Table 3. 6: Bases for eliminating subjects fiom test-retest reliability analysis, based on second case history or audiometric data. Ineligihility Based on Case History Ineligibility Based on Audiometric Data Documented or perceived fluctuating Non-functioning or malftmctioning hearing hearing loss aids of current hearing aid users, or hearing aids whose functioning has changed since the first test session [defined by electroacoustic measurements: HFA-FOG, HFA SSPL90, or Equivalent Input Noise (BIN) > 5 dB between sessionfl Significant change, or potential change, in Audiometric thresholds that differ between hearing health status since first session sessions by 10 dB HL or more at two fiequencies, or 15 dB HL at one fiequency Malfimctioning hearing aid, or acquisition of new hearing aid(s) since first session The case history information, MHHI data, and audiometric findings from the first session were used for the validity analyses. For these analyses, an audiological pass was variously defined by the following criteria: Speech Frequency Pure Tone Average (SFPTA) < 25 dB HL, Speech Frequency Pure Tone Average (SFPTA) < 20 dB HL, 51 Speech Reception Threshold (SRT) < 25 dB HL, Speech Reception Threshold (SRT) < 20 dB HL, High Frequency Pure Tone Average (HFPTA) < 25 dB HL, High Frequency Pure Tone Average (HFPTA) < 20 dB HL, the Word Recognition Score (WRS) Z 90 %, or the Ventry and Weinstein (1982, 1983) criteria. Ventry and Weinstein considered a subject as hearing impaired if a subject had audiometric thresholds at 1000 or 2000 Hz 2 40 dB HL in both ears and/or a subject had a hearing loss at 1000 and 2000 Hz 2 40 dB HL in one ear. 52 Chapter 4 Results and Discussion Overview In this chapter, results of the following analyses are reported and discussed: (1) a multivariate analysis of audiometric threshold data, (2) a descriptive analysis of MHHI scores, (3) analyses of MHHI’s test-retest reliability and internal consistency reliability, (4) an analysis of critical-difference scores on the MHHI, (S) preliminary analyses of the MHHI’s predictive validity, (6) analyses of the clinical utility and ease of use of the MHHI, (7) an analysis of the exit-interview questionnaire, and (8) an analysis of the relationship between ease of use of the MHHI and educational and income levels. The analyses revealed the MHHI to have high test—retest reliability and internal consistency. A 95 percent critical-difference value of 10 was established as suflicient to reveal statistically significant differences in MHHI scores obtained across different administrations. The relatively low number of subjects, the low number of subjects with hearing loss, and the limited overall degree of hearing impairment exhibited, provided an insufficient basis for conclusions regarding the MHHI’s predictive validity. Nonetheless, certain aspects of the analyses were encouraging. Subjects regarded themselves as generally familiar with selected technologies and responded favorably to the design and functional characteristics of the MHHI. No substantial relationship was revealed between 53 subjects’ perceptions of the MHHI and either their socioeconomic status or their level of comfort with technology. Finally, indications for future research are discussed. Hearing Sensitivity Across Subject Groups A General Linear Model (GLM) for repeated measures was used to determine significance of differences across subject groups. The subjects’ thresholds in the three experimental groups (LP/SP, SP/SP, and SP/LP), shown in Figure 3.1, were analyzed to verify comparability of groups with respect to subjects’ mean audiometric sensitivity. No significance differences were found in audiometric thresholds across the three experimental groups (p <0.05). This outcome provides assurance that any differences that may occur among these groups in later analyses cannot be attributed to differences in hearing sensitivity among them. When the GLM analysis was applied to a comparison of adult versus elderly adult subjects (Figure 3.2), a significant difference (p > 0.05) in audiometric thresholds was observed. Elderly adults exhibited poorer hearing thresholds at 2000, 4000, and 8000 Hz. Although this finding suggests the need for caution in interpreting the data, such differences between results for these two groups are not surprising, given the well-known higher prevalence of hearing loss in the elderly population. Audiometric thresholds for male versus female subjects were subjected to a similar analysis. As demonstrated in Figure 3.3, fenmles tended to have slightly poorer mean hearing thresholds than male subjects across a broad range of fiequencies. This can probably be explained by the fact that female subjects had a higher mean age than the male 54 subjects (Table 3.2). Results of the GLM analysis, however, revealed the difl’erences not to be statistically significant except at 500 Hz. It is the author’s view that such differences are not likely to account for any differences between the males’ and females’ responses to the MHHI. Descriptive Analyses of MHHI MHHI scores will first be reported by various subgroups. Descriptive analyses include the means, standard deviations, and 95% confidence intervals of the test and retest scores for the overall MHHI, MHHI-E, and MHHI-A (Table 4.1), as well as for the three experimental groups LP/SP, SP/SP, and SP/LP (Table 4.2). Scores reported in Table 4.1 and Table 4.2 cover the overall subject sample, and, therefore, include the scores of subjects without regard to their degree of hearing impairment. The mean MHHI scores ranged fiom 13.33 (MHHI-A retest) to 15.83 (LP/SP test). Mean results for the various subject subgroups were in excellent agreement from test to retest. Test —Retest Reliability Test-retest reliability refers to the extent to which a repeated test will yield the same score as the original test. The test-retest reliability of the MHHI was assessed using Pearson product-moment correlation coefficients (rs). Correlations were calculated for the overall MHHI, the MHHI-E, the MHHI-A (Table 4.3), the three experimental groups LP/ SP, SP/SP, and SP/LP (Table 4.4), males and females (Table 4.5), and subgroups by age and gender (Table 4.6). In all cases, the reliability coefficients were calculated for the total scores and scores for each of the two subscales (emotional and social-situational). 55 Table 4.1: Means, standard deviations, and 95% confidence intervals for test and retest conditions for MHHI, MHHI-E, and MHHI—A. (standard deviations are in parenthesis; 95 % confidence intervals are in brackets). Group Test Retest MHHI Total = 14.4 Total = 12.17 (9.00) (9.5) [11.4 -17.4] [10.9 -17.4] Emotional = 6.0 Emotioml = 5.4 (4.7) (4.9) [4.4 - 7.6] [3.8 - 7.1] Social = 8.4 Social = 8.7 (5.2) (5.3) [6.6 - 10.1] [6.9 - 10.5] MHHI-E Total = 15.0 Total = 15.0 (8.1) (8.0) [11.0 -19.0] [11.1- 19.0) Emotional = 6.0 Emotional = 5.7 (3.9) (4.5) [4.1 - 7.9] [3.5 - 7.9] Social = 9.0 Social = 9.3 (4.8) (4.4) [6.6 - 11.4] [7.2 - 11.5] MHHI-A Total = 13.8 Total = 13.3 (10.0) (11.1) [8.8 - 18.8] [7.8 - 18.8] Emotional = 6.0 Emotional = 5.2 (5.4) (5.4) [3.3 - 8.7] [2.6 - 7.9] Social = 7.8 Social = 8.1 (5.7) (6.1) [5.0 - 10.6] [5.1 - 11.2] 56 Table 4. 2: Means, standard deviations, and 95% confidence intervals for the three experimental groups. (standard deviations are in parentheses; 95 0 o confidence intervals are in brackets). Group Test Retest LP/SP Total = 15.8 Total = 14.8 (9.8) (9.6) [9.6 - 22.1] [8.7 - 21.0] Emotional = 6.8 Emotional = 5.5 (4.4) (4.6) [4.1 - 9.6] [2.6 - 8.4] Social = 9.0 Social = 9.3 (6.4) (5.5) [5.0 -13.0] [5.9 -12.8] SP/SP Total = 13.5 Total = 13.7 (9.0) (9.3) [7.8 - 19.2] [7.7 - 19.6] Emotional = 5.7 Emotional = 5.3 (5.2) (5.4) [2.4 - 9.0] [1.9 - 8.7] Social = 7.8 Social = 8.3 (4.8) (5.0) [4.8 - 10.9] [5.2 -11.5] SP/LP Total = 13.8 Total = 14.0 (8.8) (10.4) [8.3 - 19.4] [7.4 - 20.6] Emotional = 5.5 Emotional = 5.5 (4.7) (5.1) [2.5 - 8.5] [2.3 - 8.7] Social = 8.3 Social = 8.5 (4.7) (5.8) [5.4 - 11.3] [4.8 - 12.2] 57 Pearson rs for the total scores and emotional and social-situational subscale scores of the MHHI showed test and retest scores to be highly correlated, being at least 0.86. Generally, high correlations were also observed for test-retest scores on the MHHI-E and MHHI-A, for emotional, social, and total scores. Each experimental group (LP/ SP, SP/SP, and SP/LP) also showed high correlations for total and both subscales. Overall, all rs were high and statistically significant (p <0.01), except for the scores of the elderly adult male group. All Pearson rs were greater than 0.7, thereby accounting for 50% or more of the variance, with the exception of elderly adult male subjects, whose respective Pearson rs for test-retest reliability for the emotional subscale and total score were 0.43 and .49. These relatively low correlations might be explained by a combination of relatively few subjects (7) and age, but appear not to be explained by either factor alone, as correlations were notably higher for the group of 7 adult females and 11 elderly females. Recall that the MHHI-E and MHHI-A questionnaires differ by only two questions. It seems reasonable to expect any differences in performance on these two versions of the questionnaire, therefore, to be attributed more to differences in age of the subjects than to differences in the inventories themselves. The overall conclusion fiom Tables 4.3-4.6 is that test-retest reliability was consistently high for all subject classifications except for the fairly small subgroup of elderly adult males. 58 I! .--II ,u-L Table 4. 3: Pearson product-moment correlations for MHHI, MHHI-E, and MHHI-A, based on emotional score, social score, and total score. Group Emotional Score Social Score Total Score MHHI (n = 36) .86* .86* .91* MHHI- E (n = 18) .73* .87* 86* MHHI - A (n =18) .93* 86* .94* *Significant at 0. 01 level, 2-tailed Table 4. 4: Pearson product-moment correlations for three experimental groups, based on emotional score, social score, and total score. Group Emotional Score Social Score Total Score LP-SP (n = 12) .83* .87* .90* SP—SP (n = 12) .84* .84* .93* SP-LP (n = 12) .91* .91* 92* *Significant at 0. 01 level, 2-tailed Table 4. 5: Pearson product-moment correlations for male and female subjects, based on emotional score, social score, and total score. Group Emotional Score Social Score Total Score Males (n = 18) 87* .84* 89* Females (n= 18) .86* .88* .93* *Significant at 0.01 level, 2-tailed The MHHI Pearson rs are comparable to previous studies of other versions of the Hearing Handicap Inventories. Ventry and Weinstein (1982) found reliability coefficients ranging fiom 0.88 to 0.95 for the HHIE. Weinstein, Spitzer, and Ventry (1986) showed reliability coefficients for the HHE to range from 0.92 to 0.96 and 0.79 to 0.84 for the emotional and social subscales, respectively. Newman, Weinstein, Jacobson, and Hug 59 All >- ._l- at: 0:4 ‘br \ [11h (1991) found Pearson rs ranging from 0.93 to 0.97 for the HHIA, and 0.82 to 0.93 for the HHIA-S. With a combined administration approach of verbally asking the HHIE questions and a pencil-and-paper completion, Newman and Weinstein (1989) again found the reliability to be high (total score = 0.94, emotional subscale = 0.91, and the social- situational subscale = 0.94). Table 4. 6. Pearson product-moment correlations for subjects subdivided by age group and gender, based on emotional score, social score, and total score. Group Emotional Score Social Score Total Score Adult Males 99* .87* .96* (n = 11) Adult Females .89* .87* .94* (n = 7) Elderly Males .43 .71 .49 (n = 7) Elderly Females .87* .89* .94* (n=1 1) *Significant at 0.01 level, 2-tailed The MHHI Questionnaires are highly reliable. Except for the limited case of elderly adult males, subjects tended to perform very similarly on test and retest administrations. Given no aural rehabilitation or intervention nor any change in their audiometric data between different administrations of the MHHI, subjects’ scores can generally be assumed to reflect stabilized perceptions of their hearing handicap. Internal Consistency Reliability . The internal consistency reliability of the MHHI was assessed using Cronbach’s alpha (Cronbach, 1951; Carmines and Zeller, 1979). This measure provides a conservative 60 estimate of the average value of the internal consistency of all possible combinations of items comprising half-tests (Iversen and Norpoth, 1976). Cronbach’s alpha was calculated for the various subgroups of interest, covering test and retest scores and scores for the two subscales. The subgroups analyzed include adults and elderly adults, the experimental test groups (LP/SP, SP/SP, and SP/LP), adults and elderly adults within experimental groups, the MHHI-E, MHHI-A, and the overall MHHI. Results are shown in Table 4.7 - Table 4.10. Total score alphas ranged from 0.79 (adults administered SP/SP test condition) to 0.96 (adults administered the SP/LP retest condition). Subscale alpha values ranged from 0.25 (emotional subscale for elderly adult subjects in the test SP/SP condition) to 0.95 (social subscale for adults in the retest SP/LP condition). Results of the internal consistency reliability analysis for the MHHI are comparable to the results of O’Rouke, Britten, Hill, and Malson (1996) for the HHIA-S. O’Rouke et al. found the total score alpha to be high (0.91), with alpha for the emotional and social subscales being 0.82 and 0.84, respectively. The MHHI-A subscale values (see Table 4.7) were similarly high, ranging from 0.81 (social subscale) to 0.88 (emotional subscale). The lowest alpha occurred for the emotional subscale for the MHHI-E (0.61). Interestingly, in the study of Rouke et al., the emotional subscale also showed a substantially lower Cronbach alpha (0.35). Nonetheless, the relatively low number of subjects included in the present analyses may have been partially responsible for suppressing some of these internal 61 T. 1 Llf ml consistency reliability values. O’Rouke et al. had 96 subjects in their study, whereas the number of subjects ranged from 6 to 36 for the various groups analyzed in this study. Table 4. 7: Cronbach ’s alpha for the MHHI by test and retest administrations and major subject subgroup. Group Cronbach Alpha - Test Cronbach Alpha - Retest MHHI Total = .84 Total = .89 (n = 36) Emotional = .75 Emotional = .85 Social = .73 Social = .81 MHHI-E Total = .82 Total = .85 (n = 18) Emotional = .61 Emotional = .77 Social = .75 Social = .77 MHHI-A Total = .87 Total = .93 (n =18) Emotional = .82 Emotional = .88 Social = .81 Social = .86 LP/SP Total = .84 Total = .89 (n = 12) Emotional = .64 Emotional = .77 Social = .84 Social = .82 SP/SP Total = .85 Total = .89 (n=12) Emotional = .88 Emotional = .87 Social = .73 Social = .72 SP/LP Total = .86 Total = .94 (n = 12) Emotional = .80 Emotional = .85 Social = .84 Social = .86 62 ll Table 4. 8: Cronbach ’s alpha for the three experimental groups, subdivided by test and retest administrations, adult and elderly adult subjects, and inventory subscales. Group Cronbach Alpha - Test Cronbach Alpha - Retest LP/SP - MHI-H-E Total = .84 Total = .73 (n = 6) Emotional = .62 Emotional = .65 Social = .52 Social = .83 SP/SP - MHHI-E Total = .89 Total = .86 (n = 6) Emotional = .74 Emotional = .84 Social = .81 Social = .60 SP/LP - MHHI-E Total = .75 Total = .84 (n = 6) Emotional = .25 Emotional = .71 Social = .81 Social = .79 LP/ SP - MHHI-A Total = .81 Total = .92 (n = 6) Emotional = .58 Emotional = .81 Social = .93 Social = .85 SP/SP - MHHI-A Total = .79 Total = .93 (n = 6) Emotional = .95 Emotional = .95 Social = .53 Social = .81 SP/LP - MHHI-A Total = .93 Total = .96 (n = 6) Emotional = .85 Emotional = .92 Social = .85 Social = .95 63 Table 4. 9: Cronbach ’3 alpha for the two versions of the MHHI (short and long programs), for test and retest administrations in diflerent experimental groups. Program Cronbach Alpha - Cronbach Alpha - Test Data Retest Data SP SP-SP (n = 12) LP- SP (n = 12) Total = .85 Total = .89 Emotional = .88 Emotional = .77 Social = .73 Social = .82 SP-LP (n = 12) SP-SP (n = 12) Total = .86 Total = .89 Emotional = .84 Emotional = .87 Social = .80 Social = .72 LP LP-SP (n = 12) SP - LP (n = 12) Total = .84 Emotional = .64 Social = .84 Total = .94 Emotional = .85 Social = .86 Table 4.10: Cronbach ’s alpha for the MHHI-E and MHHI-A and the short and long programs of the MHHI. Group Cronbach Alpha - Cronbach Alpha - Test Data Retest Data MHHI-E - LP LP/SP MHHI-E (n = 6) SP/LP MHHI- E (n = 6) Total = .84 Total = .84 Emotional = .62 Emotional = .71 Social = .52 Social = .79 MHHI-E - SP SP/SP MHHI-E (n = 6) SP/SP MHHI-E (n = 6) Total = .89 Total = .86 Emotional = .74 Emotional = .84 Social = .81 Social = .60 SP/LP MHHI-E (n = 6) LP/SP MHHI-E (n = 6) Total = .75 Total = .73 Emotional = .25 Emotional = .65 Social = .81 Social = .83 MHHI-A - LP LP/SP MHHI- A (n = 6) SP/LP MHHI-A (n = 6) Total = .81 Total = .96 Emotional = .58 Emotional = .92 Social = .93 Social = .95 MHHI-A - SP SP/SP MHHI-A (n = 6) SP/SP MHHI-A (n = 6) Total = .79 Emotional = .95 Social = .53 SP/LP MHHI-A (n = 6) Total = .93 Emotional = .85 Social = .85 Total = .93 Emotional = .95 Social = .81 LP/SP MHHI—A (n = 6) Total = .92 Emotional = .81 Social = .85 65 Critical-Difference Scores Ninety-five percent confidence intervals were calculated using the formula recommended by Demorest and Walden (1984): (x; — x1) : 2 425,, where x; and x1 are inventory scores on two respective occasions, ‘12— s, is the standard error of the difference, and 2 V2— se is the critical-difference score (at the 95% confidence interval). Test-retest scores were used in all calculations. The critical-difference score is the change in score from one session to another that represents a statistically significant change. It is important in the context of this study because it provides examiners who administer the MHHI with a minimum value that signifies when a difference in two scores is large enough not to be attributable to chance. Such a value, particularly in view of the high overall test-retest reliability observed for the MHHI, is needed to be able to conclude that any aural rehabilitative intervention (e.g., hearing aids) is exerting a statistically significant effect. Critical-difference scores for various experimental subgroups are presented in Table 4.11. Values ranged rather narrowly from 7.1 (SP/SP) to 8.7 (LP/SP). The critical- difference scores of the MHHI are similar to results from a previous study. Newman, Jacobson, Hug, Weinstein, and Malinoff (1991), who found a difference of 9.3 to indicate a true change in the HHIE-S score, suggested that a change of 10 or more would indicate a true change in scores for clinical purposes. Our overall findings suggest that a change in MHHI scores of at least 9 on different administrations would be adequate as an indicator of a true difference. Given that the test scores on the MHHI increment only by even- numbered values, the author recommends that a change in scores of at least 10 on different administrations should be regarded as a significant difference. Table 4.1 1: Critical-difference scores (95 % confidence interval). Group Number of Subjects Critical-Difference Score MHHI 36 7.9 MHHI-E 18 8.5 MHHI-A 18 7.3 LP/SP 12 8.7 SP/SP 12 7.1 SP/LP 12 8.0 Predictive Validity As mentioned in the Review of Literature, one of the potential uses of the MHHI is as a screening measure of hearing impairment. As a research question, the goal of a predictive validity analysis was considered to be of secondary importance in the present study, mainly because of the limited number of subjects. This limitation restricted the distribution of subjects across a variety of degrees of audiometric hearing loss. Most of our hearing-impaired subjects demonstrated only mild or mild-to-moderate hearing loss. In addition, as explained earlier, hearing aid use served to disqualify some subjects from the validity analysis. As this criterion selectively precluded the participation of some 67 hearing-impaired subjects, as opposed to normal-hearing subjects, it fiirther reduced the number of hearing-impaired subjects whose data could be analyzed for predictive validity. Despite these limitations, and despite the likelihood that they would produce unfavorable outcomes, several validity analyses were performed on the available data of the 27 eligible subjects. Sensitivity, specificity, and false-positive and false-negative rates were calculated for various MHHI cutoff scores, Pearson r’s for MHI-H scores and selected audiometric indices were calculated, and the mean MHHI scores were calculated for different definitions of hearing loss. First, the sensitivity and specificity for the MHHI were calculated using various MHHI cutoff points and various criteria for defining hearing impairment. MHHI cutoff scores included 2, 4, 8, 10, 16, and 24. These cutoffs were chosen based on the Lichtenstein, Bess, and Logan (1988a) study. The various definitions of hearing loss included: High Frequency Pure Tone Average (HFPTA) > 20 dB HL, High Frequency Pure Tone Average (HFPTA) > 25 dB HL, Speech Frequency Pure Tone Average (SFPTA) > 20 dB HL, Speech Frequency Pure Tone Average (SFPTA) > 25 dB HL, Speech Reception Thresholds (SRT) > 20 dB HL, Speech Reception Thresholds (SRT) > 25 dB HL, Word Recognition Scores < 90%, and the Ventry and Weinstein (1982 and 1983) criteria. The data appear in Tables 4.12- 4.17. Sensitivity values ranged from 11.1 % to 55.6 % and specificity values ranged from 3.7 % to 81.8 %. These results show inadequately low sensitivity and specificity values. Outcomes were little affected by criteria used to define 68 hearing loss. Only the use of an extremely high MHHI cutoff score, 24, resulted in reasonably high specificity values, but still at the cost of low sensitivity. Results differ from results of previous studies. Lichtenstein, Bess, and Logan (1988a), using an HHIE-S cutoff score of 8, obtained sensitivity values ranging from 53-72% and specificity values ranging from 70-84% against differing definitions of hearing loss. Table 4.12: Sensitivity, specificity, false-positive, and false-negative rates using an MHHI cutofl score of 2, for various definitions of hearing impairment. Criteria Sensitivity Specificity False Positive False Negative HFPTA > 20 55.6% 7.4% 37.0% 0 % HFPTA > 25 44.4% 3.7% 51.8% 0 % SFPTA > 20 29.6% 7.4% 63.0% 0 % SFPTA > 25 18.5% 7.4% 74. 1% 0 % SRT > 20 37.1% 7.4% 55.6% 0 % SRT > 25 25.9% 7.4% 66.7% 0 % WRS < 90% 18.5% 7.4% 74.1% 0 % Ventry & Weinstein 11.1% 7.4% 81.5 % 0 % Table 4.13: Sensitivity, specificity, false-positive, and false-negative rates using an MHHI cutofl score of 4, for various definitions of hearing impairment. Criteria Sensitivity Specificity False Positive False Negative HFPTA > 20 55.6% 11.1% 33.3% 0 % HFPTA > 25 44.4% 7.4% 44.4% 0 % SFPTA > 20 29.6% 11.1% 59.3% 0 % SFPTA > 25 18.5% 11.1% 70.4% 0 % SRT > 20 33.3% 11.1% 55.6% 0 % SRT > 25 25.9% 11.1% 63.0% 0 % WRS <90% 14.8% 11.1% 74.1% 0% Ventry & Weinstein 18.5% 11.1% 70.4% 0 % 69 Table 4.14: Sensitivity, specificity, false-positive, and false-negative rates using an MHHI cutoff score of 8, for various definitions of hearing impairment. Criteria Sensitivity Specificity False Positive False Negative HFPTA> 20 51.8% 25.9% 18.5% 3.7% HFPTA > 25 44.4% 29.6% 25.9% 0 % SFPTA > 20 33.3% 29.6% 37.0% 0 % SFPTA > 25 18.5% 29.6% 51.8% 0 % SRT > 20 33.3% 29.6% 37.0% 0 % SRT > 25 25.9% 29.6% 44.4% 0 % WRS < 90% 14.8% 29.6% 55.6% 0 % Ventry & Weinstein 18.5% 29.6% 51 .8% 0 % Table 4.15: Sensitivity, specificity, false-positive, and false-negative rates using an MHHI cutofl score of 10, for various definitions of hearing impairment. Criteria Sensitivity Specificity False Positive False Negative HFPTA>20 44.4% 33.3% 11.1% 11.1% HFPTA > 25 37.0% 37.0% 18.5% 7.4% SFPTA > 20 25.9% 37.0% 29.6% 7.4% SFPTA > 25 18.5% 44.4% 37.0% 0 % SRT > 20 25.9% 37.0% 29.6% 7.4% SRT > 25 22.2% 40.7% 33.3% 3.7% WRS < 90% 14.8% 44.4% 40.7% 0 % Ventry & Weinstein 18.5% 44.4% 37.0% 0 % Mulrow, Tuley, and Aguiar (1990) found the HHIE-S to have a sensitivity of 79%, although they reported a moderately high false-positive rate. With an MHHI cutoff of 4 and a hearing loss defined as the High Frequency Pure Tone Average (HFPTA) of 20 dB HL or greater in this study, the highest sensitivity was measured at 55.6%. The false- positive rate, however, was 33.3%, and the specificity was 11.1% 70 Table 4.16: Sensitivity, specificity, false-positive, and false-negative rates using a MHHI cutofl score of 16, for various definitions of hearing impairment. Criteria Sensitivity Specificity False Positive False Negative HFPTA> 20 33.3% 33.3% 11.1% 22.2% HFPTA > 25 29.6% 40.7% 14.8% 14.8% SFPTA > 20 22.2% 44.4% 22.2% 11.1% SFPTA > 25 18.5% 55.6% 25.9% 0 % SRT > 20 22.2% 44.4% 22.2% 11.1% SRT > 25 18.5% 48.1% 25.9% 7.4% WRS < 90% 14.8% 55.6% 29.6% 0 % Ventry & Weinstein 18.5% 55.6% 25.9% 0 % Table 4.1 7: Sensitivity, specificity, false-positive, and false-negative rates using an MHHI cutoff score of 24, for various definitions of hearing impairment. Criteria Sensitivity Specificity False Positive False Negative HFPTA > 20 11.1% 44.4% 0 % 44.4% HFPTA>25 11.1% 55.6% 0% 33.3% SFPTA > 20 11.1% 66.7% 0 % 22.2% SFPTA > 25 7.4% 81.8% 3.7% 7.4% SRT > 20 7.4% 63.0% 3.7% 25.9% SRT > 25 7.4% 70.4% 3.7% 18.5% WRS < 90% 7.4% 81.5% 3.7% 7.4% Ventry & Weinstein 11.1% 81.5% 0 % 7.4% As already mentioned, likely explanations for the differences in sensitivity and specificity outcomes for the MHHI and the other versions of the HHI relate to the number of subjects in our sample and the restricted degree of hearing loss exhibited by the sample. While this study had only 27 eligible subjects for the analysis, Lichtenstein, Bess, and Logan (1988a) studied 178 subjects and Mulrow, Tuley, and Aguilar (1990) studied 137 hearing-impaired subjects and 101 normal-hearing subjects. 71 The second method of assessing validity involved the calculation of Pearson product—moment correlations between the MHHI scores and differing audiometric data. Audiometric data used in the analysis included: Speech Frequency Pure Tone Average (SFPTA), Speech Reception Threshold (SRT), the High Frequency Pure Tone Average (HF PT A), Word Recognition Scores (WRSs), and the Speech Intelligibility Index ($11), or Articulation Index (AI) (Mueller and Killion, 1990). Results are shown in Table 4.18 for the overall MHHI score, MHHI scores by the two age subgroups, and by the three experimental subgroups. As noted in the Review of Table 4.18: Correlations between MHHI scores and selected audiometric indices. Criteria MHHI MHHI-E MHHI-A LP sr sr _ (LP/SP) (SP/SP) (SP/LP) SFPTA 0.67 ** 0.55 0.74 ** 0.30** 0.47 0.61* SR’T 0.57 ** 0.42 0.66 ** 0.75 ** 0.54 0.44 IIFrTA 0.62 ** 0.68 * 0.58 * 0.66 * 0.54 0.55 WRS - 0.50 ** -0.38 -0.66 ** -023 -027 -073 ** _ SII (AI) - 0.61 ** -0.62 * -0.61 * -0.66 * -040 0.24 a"-S'igrzificant at 0.05 level: **significant at 0. 01 level Literature, correlations are not expected to be very high due to the fact that the Hearing I“I‘ll'lciicap Inventories are not a direct measure of hearing loss, but rather a measure of hearing handicap. It is expected that the MHHI score will generally rise with increasing degree of hearing loss, but that the degree of correlation between the MHHI and a‘1<1iometric hearing loss will be only modest. Essentially all the correlations were in the dir€=1 If so, did you notice any tinnitus (ringing in your ears) after the noise exposure? Yes No 00 . Have you noticed any fluctuation in your hearing since the last session? Yes No 9. Have you acquired a new hearing aid, or aids, since the last session? Yes No 10. If so, how often and for how long do you wear it/them? 11. Has there been any change in the performance of your hearing aid(s) since the last session? Yes No Thank you. 115 Appendix J Exit Questionnaire—Long Program (LP/SP and SP/LP Sequences) 116 Exit Questionnaire—Long Program (LP/SP and SP/LP Sequences) Name: Date of Birth: Please answer the following questions by circling a number 1 - 5. Number 1 = Strongly Disagree, Number 3 = Neutral, and Number 5 = Strongly Agree. l. The Multimedia Hearing Handicap Inventory program was easy to use. 1 2 3 4 5 2. I found the section on use of the computer to be helpfirl. 1 2 3 4 5 3. 1 found the rephrasing of the questions helpfiil. 1 2 3 4 5 4. I found the illustrations of the questions helpful. 1 2 3 4 5 5. I learned some usefiil information about hearing loss from the program. 1 2 3 4 5 6. The voice was easy to hear. 1 2 3 4 5 7. The voice was easy to understand. 1 2 3 4 5 8. The text was easy to read. 1 2 3 4 5 9. The directions on how to use the program were easy to understand. 1 2 3 4 5 10. I learned some usefiil information about treatments for hearing loss. 1 2 3 4 5 11. The Hearing Profile given to me at the end of the program was easy to understand. 1 2 3 4 5 12. I will follow the suggestions given to me in the Hearing Profile. 1 2 3 4 5 117 13. What is the range of annual gross income in your household? _ $0-$5,000 _ $5,000 - $15,000 _ $15,000 - $30,000 _ $30,000 - $50,000 _ $50,000 - $75,000 _ over $75,000 14. What is the highest educational level completed? _ Did not complete high school _ Completed high school (high school diploma) _ Completed 1 or more years of college _ Completed college (bachelor’s degree) _ Master’s degree _ Doctoral degree (Ph.D., Ed.D., etc.) _ Professional degree (M.D., J.D., etc.) Please rate how comfortable you are with the following equipment by circling a number. Number 1 - Very Uncomfortable. Number 3 = Neutral, Number 5 = Very Comfortable. Assume you are being asked to demonstrate your use of each. 1. Manual typewriter 1 2 3 4 5 2. Calculator 1 2 3 4 5 3. Adding Machine 1 2 3 4 5 4. Electric Typewriter 1 2 3 4 5 5. Computer (without a mouse) 1 2 3 4 5 .0‘ Computer (with a mouse) 1 2 3 4 5 Thank you for your time! 118 Appendix K Exit Questionnaire—Short Program (SP/SP Sequence) 119 Exit Questionnaire—Short Program (SP/SP Sequence) Name: Date of Birth: Please answer the following questions by circling a number 1 - 5. Number 1 = Strongly Disagree, Number 3 = Neutral, and Number 5 = Strongly Agree. 1. The Multimedia Hearing Handicap Inventory program was easy to use. 1 2 3 4 5 2. The voice was easy to hear. I 2 3 4 5 3. The voice was easy to understand. 1 2 3 4 5 4. The text was easy to read. 1 2 3 4 5 {It I found the rephrasing of the questions helpfiil. l 2 3 4 5 6. I found the illustrations of the questions helpful. 1 2 3 4 5 7. The Hearing Profile given to me at the end of the program was easy to understand. 1 2 3 4 5 8. I will follow the suggestions given to me in the Hearing Profile. 1 2 3 4 5 9. What is the range of annual gross income in your household? _ $0 - $5,000 __ $5,000 - $15,000 _ $15,000 -$30,000 _ $30,000 - $50,000 _ $50,000 - $75,000 __ over $75,000 120 10. What is the highest educational level completed? _ Did not complete high school _ Completed high school (high school diploma) __ Completed 1 or more years of college _ Completed college (bachelor’s degree) _ Master’s degree _ Doctoral degree (Ph.D., Ed.D., etc.) _ Professional degree (M.D., J .D., etc.) Please rate how comfortable you are with the following equipment by circling a number. Number 1 = Very comfortable, Number 3 = Neutral, Number 5 = Very Comfortable. Assume you are being asked to demonstrate your use of each. 1. Manual typewriter 1 2 3 4 5 2. Calculator 1 2 3 4 5 3. Adding Machine 1 2 3 4 5 4. Electric Typewriter 1 2 3 4 5 5. Computer (without a mouse) 1 2 3 4 5 6. Computer (with a mouse) 1 2 3 4 5 Thank you for your time! 121 REFERENCES 122 REFERENCES Alpiner, J ., & Baker, J. (1981). Communication assessment procedures in the aural rehabilitation process. Seminars in Speech, Language and Hearing, 2, 189-204. Alpiner, J ., Chevrette, W., Glascoe, G., Metz, M., & Olsen, B. (1974). The Denver Scale of Communication Function. (Unpublished study), University of Denver. Alpiner, J .G., & McCarthy, PA. (1993). Rehabilitative Audiology: Children and Adults (2”1 ed). (pp. 237-259, 331-357). Baltimore: Williams and Wilkins. Alpiner, J.G., Meline, N.C, & Cotton, AD. (1991). An Aural rehabilitation screening scale: self-assessment, auditory aptitude, and visual aptitude. Journal of the Academy of Rehabilitation Audiology, 24, 75-83. American Academy of Otolaryngology Committee on Hearing and Equilibrium. Guide for the Evaluation of Hearing Handicap. (1979). Otolaryngology Head and Neck Surgery, 87, 539-551. American Speech-Language-Hearing Association, (1988). Guidelines for determining threshold level for speech. Asha, 30, 85-89. Bess, RH. (1995). Applications of the Hearing Handicap Inventory for the Elderly—Screening Version (HHIE-S). Hearing Journal, 48(6), 10, 51-52,54,56-57. Brooks, D.N. (1989). The effect of attitude on benefit obtained from hearing aids. British Journal of A udiology, 23 (1), 3-11. Carmines, E.G., & Zeller, RA. (1979). Reliability and validity assessment. (pp. 43 -48). Beverly Hills: Sage Publications. Chermak, G.D., & Miller, MC. (1988). Shortcomings of a Revised Feasibility Scale for Predicting Hearing Aid Use with older adults. British Journal of Audiology, 22 (3), 187-194. 123 Cox, R.M., Gilmore, C., & Alexander, GO (1991). Comparison of two questionnaires for patient-assessed hearing aid benefit. Journal of the Academy of Rehabilitative Audiology, 2, 134-145. Cox, R.M., & Alexander, G. (1995). The Abbreviated Profile of Hearing Aid Benefit. Ear and Hearing, 16, 176-186. Cox, R.M., & Gilmore, C. (1990). Development of the Profile of Hearing Aid Performance (PHAP). Journal of Speech and Hearing Research, 33 (2), 343-3 57. Cronbach, L]. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297-334. Demorest, M.E., & Erdman, SA. (1986). Scale composition and item analysis of the Communication Profile for the Hearing impaired. Journal of Speech and Hearing Research, 29, 515-535. Demorest, M.E., & Walden, BE. (1984). Psychometric principles in the selection, interpretation, and evaluation of communication self-assessment inventories. Journal of Speech and Hearing Disorders, 49, 226-240. Dillon, H., Alison, J ., & Ginis, J. ( 1997). Client oriented scale of improvement (C081) and its relationship to several other measures of benefit and satisfaction provided by hearing aids. Journal of the American Academy of A udiology, 8, 27-43. Dillon, H, Birtles, G., & Lovegrove, R. (1999). Measuring the outcomes of a national rehabilitation program: Normative data for the Client Oriented Scale of Improvement (COSI) and the Hearing Aid User’s Questionnaire (HAUQ). Journal of the American Academy of Audiology, 10, 67-79. Duijsens, I.J., Eurelings-Bontekoe, E.H.M., & Diekstra, R.F.W., (1996). The VKP, a self-report instrument for DSM-HI-R and ICD-10 personality disorders: construction and psychometric properties. Personality and Individual Differences, 20 (2), 17 1-182. Ewertson, H., & Birk-Neilsen, H. (1973). Social hearing handicap index: social handicap in relation to hearing impairment. Audiology, 12, 180-187. 124 Forster, H., & Storey, L. (1988). Hearing aid usage in Queensland. Paper presented at the Audiological Society of Australia Conference, Perth. Gatehouse, S. (1999). Glasgow Hearing Aid Benefit Profile: Derivation and validation of a client-centered outcome measure for hearing aid services Journal of the American Academy of A udiology, 10, 80-103. Giolas, T.G., Owens, E., Lamb, S.H., & Shubert, ED. (1979). Hearing Performance Inventory. Journal of Speech and Hearing Disorders, 44, 169-195. Giolas, T.G. (1994). Aural rehabilitation of adults with hearing impairment. Handbook of Clinical Audiology (Fourth ed.), Katz, J. (Ed). (pp. 776-792). Baltimore: Williams & Wilkins. Hétu, R., Stephans, D., Noble, W., Gettty, L., Philbert, L., & Désilets (July, 1994). Hearing Disability and Handicap Scale (HDHS): a short questionnaire for clinical use, Paper presented at the XXII International Congress of Audiology, Halifax, Nova Scotia. High, W.S., Fairbanks, G., & Glorig, A. (1964). Scale for self-assessment of hearing handicap. Journal of Speech and Hearing Disorders, 29, 215-230. Hirsh, I.J., Davis, H., Silverman, S.R., Reynolds, E.G., Eldert, E., & Benson, R.W. (1952). Development of materials for speech audiometry. Journal of Speech and Hearing Research, 17, 321-337. Hull, RH. (1997). Aural rehabilitation serving children and adults. (pp. 433-507, 483-485).San Diego: Singular Publishing Group Inc.. Hutton, CL. (1980). Responses to a Hearing Problem Inventory. Journal of the Academy of Rehabilitative Audiology, 13, 133-154. Iversen, G.R., & Norpoth, H. (1976). Analysis of variance. In Sage University paper series on quantitative applications in the social sciences, series no. 07-001. Beverly Hills, CA: Sage Publications. Janz, N.K., & Becker, M.H. (1984). The Health Belief Model: a decade later. Health Education Quarterly, 11(1), 1-47. 125 Kaplan, H., Bally, S.J., & Brandt, FD. (1990). Communication Skill Scale. Washington DC, Gallaudet University. Kaplan, H, Feeley, J ., & Brown, J. (1978). A modified Denver scale: test-retest reliability. Journal of A cademy of Rehabilitative Audiology, 11, 15-3 2. Koniditsiotis, CY. (1971). The use of hearing tests to provide information about the extent to which an individual’s hearing loss handicaps him. Maico Audiological Series, 9, 10. Lamb, S.H., Owens, E., & Schubert, ED. (1983). The revised form of the Hearing Performance Inventory. Ear and Hearing, 4 (3), 152-157. Lichtenstein, M.J., Bess, F.H., & Logan, S.A. (1988a). Diagnostic performance of the Hearing Handicap Inventory for the Elderly (Screening Version) against differing definitions of hearing loss. Ear and Hearing, 9, 208-211. Lichtenstein, M.J., Bess, F.H., & Logan, S.A. (1988b). Validation of screening tools for identifying hearing-impaired elderly in primary care. Journal of American Medical Association, 259, 2875-2878. Malinoff R.L., & Weinstein, BE. (1989). Measurement of hearing aid benefit in the elderly. Ear and Hearing, 10, 354-356. Manzella, D., & Taigman, M. (1980). A hearing screen test. Journal of the Academy of Rehabilitative Audiology, 13, 21-28. Matthews, L.J., Lee, E, Mills, J .H., & Schum, DJ. (1990). Audiometric and subjective assessment of hearing handicap. Archives of Otolarygology Head-Neck Surgery, 116, 1325-1330. McCarthy, P.A., & Alpiner, J .G. (1983). An assessment scale of hearing handicap for use in family counseling. Journal of the Academy of Rehabilitative Audiology, 16, 256-270. Mueller, G.H., & Killion, MC. (1990). An easy method for calculating the Articulation Index. Hearing Journal, 43(9), 14-17. 126 Mulrow, C.D., Tuley, M.R., & Aguilar, C. (1990). Discriminating and responsiveness abilities of two hearing handicap scales. Ear and Hearing, 11, 176-180. Neal, L.A., Fox, C., Carroll, N., Holden, M., & Barnes, P. (1997). Development and validiation of a computerized screening test for personality disorders in DSM-III-R. AC TA Psychiatrica Scandinavica, 95, 351-356. Newman, C.W., Jacobson, G.P., Hug, G.A., Weinstein, B.E., & Malinoff, KL. (1991). Practical method for quantifying hearing aid benefit in older adults. Journal of American Academy of Audiology, 2, 70-75. Newman, C.W., & Weinstein, BE. (1989). Test-retest reliability of the Hearing Handicap Inventory for the Elderly using two administration approaches. Ear and Hearing, 10, 190-191. Newman, C.W., Weinstein, B.E., Jacobson, G.P., & Hug, GA. (1990). The Hearing Handicap Inventory for Adults: Psychometric adequacy and audiometric correlates. Ear and Hearing, 11, 430-433. Newman, C.W., Weinstein, B.E., Jacobson, G.P., & Hug, GA. (1991). Test-retest of the Hearing Handicap Inventory for Adults. Ear and Hearing, 12, 355-357. Noble, W.G., & Atherly, G. (1970). The Hearing Measurement Scale: a questionnaire for the assessment of auditory disability. Journal of A uditory Research, 10, 229-250. O’Rouke, C.M., Britten, C.F., Hill, K.W., & Malson, CK. (1996). The Hearing Handicap Inventory for Adults: A hearing screening tool. Poster presentation at annual ASHA Convention, Seattle, WA. Owens, E., & Fujikawa, A. (1980). The hearing performance inventory and hearing aid use in profound hearing loss. Journal of Speech and Hearing Research, 23, 470-479. Owens, G., & Raggio, MW. (1984). Hearing Performance Inventory for Severe to Profound Hearing Loss. University of California (San Francisco). Pouwer, F., Snoek, F .J ., van der Ploeg, H.M., Heine, R.J., & Brand, AN. (1998). A comparison of the standard and the computerized versions of the Well-being 127 Questionnaire (WBQ) and the Diabetes Treatment Satisfaction Questionnaire (DTSQ). Quality of Life Research, 7, 33-38. Punch, J .L., & Weinstein, BE. (1996). The Hearing Handicap Inventory: Introducing a multimedia version. Hearing Journal, 49(10), 35-36, 38-40, 44—45. Ringdahl, A., Eriksson-Mangold, M., & Karlsson, K. (1993). (June) The Gothenburg profile: a self-report inventory for measuring experienced hearing disability and handicap. International Colloquium of Rehabilitative Audiology Newsletter (6). Rosenstock, I.M. (1990). The Health Belief Model: explaining health behavior through expectancies. In Glantz, K., Lewis, P, Rimer, B., Eds, Health behavior and health education, San Francisco: J ossey-Bass, 39-62. Sanders, DA. (1982). Aural rehabilitation: a management model, Englewood Cliffs, NJ: Prentice Hall, Inc, 410-416. Schein, J ., Gentile, A., & Haase, K., (1970). Development and evaluation of an expanded hearing loss scale questionnaire. Vital and Health Statistics, 2, 37. Schow, R. L, & Nerbonne, MA. (1977). Assessment of hearing handicap by nursing home residents and staff. Journal of Academy of Rehabilitative Audiology, 10, 2- 9. Schow, R.L., & Nerbonne, MA. (1980). Hearing handicap and Denver scales: applications, categories, interpretation. Journal of the Academy of Rehabilitative Audiologi, 13, 66-77. Schow, R., & Nerbonne, MA. (1982). Communication screening profile: use with elderly clients. Ear and Hearing, 3, 135-147. Schow, R.L., & Nerbonne, MA. (1996). Introduction to Audiologic Rehabilitation (Third ed.). (pp. 361-454). Boston: Allyn and Bacon. Schum, D., (1992). Responses of elderly hearing aid users on the Hearing Performance Inventory. Journal of the American Academy of Rehabilitative Audiology, 2, 28-38. 128 Schum, D., (1999). Perceived Hearing Aid Benefit in Relation to Perceived Needs. Journal of the American Academy of A udiology, 10, 40-45. Skinner, H.A., & Allen BA. (1983). Does the computer make a difference? Computerized versus face-to-face versus self-report assessment of alcohol, drug, and tobacco use. Journal of Counseling and Clinical Psychology, 51 (2), 267-275. Taylor, KS. (1993). Self-perceived and audiometric evaluations of hearing aid benefit in the elderly. Ear and Hearing, 14, 390-3 94. Thornton, A.R., & Raffin, M.J.M. (1978). Speech-discrimination scores modeled as a binomial variable. Journal of Speech and Hearing Research, 21, 507-518. Tillman, T.W., & Carhart, R. (1966). An expanded test for speech discrimination utilizing CNC monosyllabic words Northwestern University Auditory Test No. 6. Technical Report No. SAM- 7R-66-55, USAF School of Aerospace Medicine, Brooks Air Force Base, Texas. Tuley, M.R., Mulrow, C.D., Aguilar, C., & Velez, R. (1990). A critical reevaluation of the Quantified Denver Scale of Communication Function. Ear and Hearing, 11, 56-61. Ventry, I.M., & Weinstein, BE. (1982). The Hearing Handicap Inventory for the Elderly: A new tool. Ear and Hearing, 3, 128-134. Ventry, I.M., & Weinstein, BE. (1983). Identification of elderly people with hearing problems. Asha, July, 37-42. Walden, B.E., Demorest, M.E., & Hepler, EH. (1984). Self-report approach to assessing benefit derived from amplification. Journal of Speech and Hearing Research, 27, 49-56. Weinstein, BE, (1991). The quantification of hearing aid benefit in the elderly: The role of self-assessment measures. Acta Otolaryngology (Stockholm) Supplementary. 476, 257-261. Weinstein, BE, (1997). Outcome measures in the hearing aid fitting/selection process. Trends in Amplification, 2(4), 117-137. 129 Weinstein, B.E., & Ventry, I.M. (1983). Audiometric correlates of the Hearing Handicap Inventory for the Elderly. Journal of Speech and Hearing Disorders, 48, 379- 384. World Health Organization (1980). International classification of impairments, disabilities, and hearing handicaps: a manual of classifications relating to consequences of disease. Geneva. Weinstein, B.E., Spitzer, J .B., & Ventry, I.M. (1986). Test-retest reliability of the Hearing Handicap Inventory for the Elderly. Ear and Hearing, 7, 295-299. Zarnoch, J .M., & Alpiner, J.G., (1977). The Denver Scale of Communication Function for Seniors Living in Retirement Centers. (Unpublished study). 130