PERCEPTIONS OF MEMBERS OF THE HEALTH TEAM IN SECTARIAN AND NON-SECTARIAN HOSPITALS Thesis far the Degree of Ph. D. MECHEGAN STATE UNWERSITY ; SISTER MARY ROSARIE SAUNDERS L. 0., M. 1959‘: THp-cac 0-169 This is to certify that the thesis entitled PERCEPTIONS OF MEMBERS OF THE HEALTH TEAM IN SECTARIAN AND NON-SECTARIAN HOSPITALS presented by Sister M. Rosarii Saunders L.C.M. has been accepted towards fulfillment of the requirements for Ph.D. degree in Education Major professor Date November 18, 1969 BINDING BY HUAB & sons't § 800K smnm ms. ‘1 1 LIBRARY amoans 1;...22. e1... _ 2.22:2... '~n..~....|lrul .. ABSTRACT PERCEPTIONS OF MEMBERS OF THE HEALTH TEAM IN SECTARIAN AND NON-SECTARIAN HOSPITALS by Sister Mary Rosarii Saunders L.C.M. Purpose of the Study This study was concerned with the perception of nurses and medical technologists in sectarian and non— sectarian hospitals. In order to study the perceptions an instrument called the Professional Perception Index was developed by the author. The 27 variables of this index were divided into three groups, activities, senti- ment and interaction, according to Homans Model. The purpose of this study is to determine whether or not there is a difference in the perceptions held by nurses and medical technologists of the necessary char— acteristics of other health professionals for effective team functioning. It is hypothesized that, Health professionals differ in perceptions of their own professional role, individually and collectively, as well as other health professionals with whom they work, individually and collectively. Sister Mary Rosarii Saunders L.C.M. Design of the Research The Professional Perception Index was developed to measure the perceptions of nurses and medical techno- logists in sectarian and non-sectarian hospitals. The sample consisted of 75 nurses and 75 medical technologists randomly selected from four mid-Western hospitals. Results On the basis of this data, nurses and medical technologists have different perceptions of the activities, interaction and sentiment of medical doctors, medical tech- nologists and nurses as indicated by the Professional Perception Index. The greatest differences in the percep- tions of nurses and medical technologists occur in the ratings of nurses and medical doctors. The difference in the rating of nurses by nurses and medical technologists is statistically significant at the .01 level or 99 per cent level of confidence. The difference in the rating of medical doctors by nurses and medical technologists is statistically significant at the .05 level or 95 per cent level of confi- dence. Although not statistically significant, the ratings of medical technologists by nurses and medical technologists cannot be ignored since this 70 per cent level of confidence does indicate a difference. On the basis of this data, the more years of formal schooling a medical technologist had, the higher she ranked Sister Mary Rosarii Saunders L.C.M. nurses especially in the categories of activities (.05 level) and interaction (.01 level). Years of formal schooling appeared to have no effect on the perceptions of nurses. The experience of medical technologists appeared on the basis of this data to have an influence on their perceptions of nurses especially in the categories of nurses' activities and interaction (significant to the .05 level). The experience of nurses did not appear to significantly effect their perceptions of medical doctors, nurses or medical technologists. The differences in age of medical technologists did not appear to significantly alter their perceptions of medical doctors, medical technologists and nurses according to the Professional Perception Index. Although differences in the age of nurses did not alter their perceptions of medical doctors or nurses, age differences of nurses did appear to significantly effect their perceptions of medical technologists. These differences were statistically signi- ficant to the .05 level or 95 per cent level of confidence. Implications Information concerning the differences in percep- tions of nurses and medical technologists can give direction to in-service educational programs as well as to the various programs of health education in the colleges and universities. Sister Mary Rosarii Saunders L.C.M. In addition, this study may shed light on the communications process and conflicts among health pro— fessionals. Such information could lead to early indoc- trination of students in the interdisciplinary health team approach. Through common education and training experience the groundwork would have begun for eventual mutual under— standing and hopefully better cooperation among allied health personnel when they work together. In View of the limitations of the study, perhaps future research could be done by utilizing nurses and medical technologists from other geographic areas. The instrument developed in this research might be used in studies of the perceptions of other health professionals, such as radiologic technologists, dieticians, occupational therapists and operating room technicians. Further studies of salaries of health professionals and their perceptions of such salaries may contribute to harmonious functioning of the health team. PERCEPTIONS OF MEMBERS OF THE HEALTH TEAM IN SECTARIAN AND NON-SECTARIAN HOSPITALS BY Sister Mary Rosarii Saunders L.C.M. A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Administration and Higher Education 1969 G") H I f e —/ 7-- :9 Sister Mary Rosarii Saunders L.C.M. Candidate for the Degree of Doctor of Philosophy Oral Examination: November 6, 1969 Dissertation: Perceptions of Members of the Health Team in Sectarian and Non-Sectarian Hospitals Outline of Studies: Major Subject - Higher Education and Administration Minor Subject - Curriculum develop- ment, especially in medical education Biographical Born, June 25, 1926, Chicago, Illinois Information: Education: Little Company of Mary School of Nursing — R.N. Degree - 1952 DePaul University - B.S. — 1957 Little Company of Mary School of Medical Technology - Registered Medical Technologist - 1957 DePaul University — M.S. Biological Sciences — 1961 ExPerience: Assistant Professor, Department of Natural Sciences, St. Xavier College, Chicago, Illinois - 1959 to 1967 Employed 16 years in Little Company of Mary Laboratory as Bench Tech— nologist, Teaching Supervisor, Laboratory Supervisor and Coordinator Director, Health Sciences, Moraine Valley Community College, Palos Heights, Illinois State Activities: National Activities: Liaison Committee - Illinois Society of Pathologists - 1963—1967 Delegate to American Society of Medical Technologists National Meetings - 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965 State Advisory Committee on Health Careers - 1965-1966 President of Illinois Society of Medical Technologists - 1961-1962 Education Committee, Illinois Regional Medical Programs — 1968 to present Certified Laboratory Assistants Committee — 1961-1962 Board of Certified Laboratory Assistants - 1962-1967 Participated in Health Meetings of the National Association of Junior Colleges - 1964 Organized Labor Procedures for the American Medical Association Meeting held in Chicago - 1962 Advisory Committee of the National Committee for Careers in Medical Technology Education - 1966 Chairman, Catholic Hospital Associa— tion - 1958-1961 President Johnson's Committee on Loan Programs in Education - 1967— 1970 Advisory Committee Bureau of Higher Education - 1967 Participated in Department of Health, Education and Welfare Conference on Job Development, Washington, D.C. - 1966 iii Publications: Advisory Committee on Medicare Regulations for Clinical Laboratory Working with Federal Government under the Manpower Development and Training Act to train Certified Laboratory Assistants, Operating Room Technicians and Medical Transcribers - 1962 to Present National Board of American Society of Medical Technologist - 1967-1970 Education Committee American Hospital Association - 1969 to present "Certified Laboratory Assistants: A Partial Answer?" Published in Hospital Progress, Feb., 1967. "Clinical Laboratory Assistants Training Upgraded." Published in Illinois Vocational Progress, Nov., 1966 "Training Program Will Provide New Lab. Worker: The C.L.A." Published in Hospital Topics Magazine, October, 1964 "Calcium & Phosphorous Metabolism in Rana Ripiens." Unpublished Thesis for Masters Degree iv DEDICATION To my religious community The Sisters of Little Company of Mary. An eternally welcomed source of love, support, and in— spiration. . . . ACKNOWLEDGMENTS I would like to acknowledge the encouragement and professional direction given to me by the members of my guidance committee: Dr. C. Blackman, Dr. H. Jason, Dr. V. Johnson, Dr. M. Raines. Particular acknowledgment is given to Dr. Laurine Fitzgerald, who has served as the chairman of this dissertation committee and has been of invaluable assistance as the major advisor for this research. It has been through her patience, understanding and insights that this project has reached its conclusion. To Dr. Max Raines for his guidance, direction and support as chairman of my committee. To Mr. Richard Odwazny of the computer center of Little Company of Mary Hospital for his valuable assistance in working out the technical details of procedure and statistical analysis. To Dr. Wm. Knisely, Director, Institute of Biology and Medicine, Michigan State University, for his assistance in obtaining a grant under the Allied Health Professions Act. To the Public Health Service, Allied Health Trainee- ship Grant from Department of Public Health Service of Health, Education and Welfare-—No. AHT-69-049 through Michigan State University. vi To Dr. R. Turner, President, Moraine Valley Community College, Palos, Illinois, whose insights and support made this project possible. To the nurses and medical technologists of the participating hospitals for their splendid cooperation and important feedback. To the administrators of the participating hospi- tals for their splendid cooperation: Dr. J. Feurig and Mr. J. Cook, Olin Medical Center, Michigan State University; Sister Margaret and Mr. P. Wozniak, Little Company of Mary Hospital, Evergreen Park, Illinois; Mr. J. A. Reinertsen, Evanston Hospital, Evanston, Illinois; Sister Catherine Mary, St. Francis Hospital, Blue Island, Illinois; and Mr. H. Piepenbrink, Tinley Park Hospital, Tinley Park, Illinois. To Barbara Brodie, R.N., Doctoral Candidate, Michigan State University, for her assistance in the development of the instrument used in this research. To my family--my beloved Mother enjoying in Heaven the reward of her generosity, my dear Father, a perpetual source of wisdom and love, my sister and her husband, Mr. and Mrs. P. Kelly, my brother and his wife, Mr. and Mrs. William Saunders for their understanding, patience and love. And foremost, to the Sisters of the Little Company of Mary, especially Sisters Mary Catherine, Mary Oliver, Mary Michael, Mary Paul, Mary Rose and Mary William for vii their sacrifice, patience, inspiration and love, without which this project would still be on the drawing board. viii TABLE OF CONTENTS BIOGRAPHICAL DATA 0 O O O O I O I O O O O O O O O O DEDICATION O O O O O O O O O O O O O O O O O O O 0 ACKNOWLEDGMENTS . . . . . . . . . . . . . . . . . . LIST OF TABLES O O O O O O O O O O I O O O O O O 0 LIST OF APPENDICES . O O O C O O O O O O O C O O 0 Chapter I. II. III. STATEMENT OF THE PROBLEM . . . . . . . . . . The Expanding Horizons of Medical Knowledge The Greater Productivity Demand . . . . . . Autonomy and Competence . . . . . . . . . . Purpose of This Study . . . . . . . . . . . Hypotheses To Be Evaluated . . . . . . . . . Definition of Terms . . . . . . . . . . . . REVIEW OF THE LITERATURE . . . . . . . . . . Changes in Professional Achievements . . . . Team Member Nervous Stress and Conflict . . ROle Theory 0 O O O I O O I I O O O I O O 0 DESIGN OF THE STUDY . . . . . . . . . . . . Types of Research . . . . . . . . . . . Nature of the Sample . . . . . . . . . . Instrumentation . . . . . . . . . . . . Validity and Reliability . . . . . . . . weight of Relevancy . . . . . . . . . . Statistical Analysis . . . . . . . . . . Limitations of the Study . . . . . . . . . . ix Page ii vi xi xiii H (DQQWNH 12 12 13 15 20 20 21 23 27 28 29 Chapter IV. ANALYSIS OF RESULTS . . . . Differences in Perceptions of and Medical Technologists Sectarian vs. Non-Sectarian Perceptions vs. Education . Perceptions vs. Experience Age vs. Perceptions . . . . Status and Salary . . . . . Summary . . . . . . . . . . Nurses V. SUMMARY, IMPLICATIONS AND RECOMMENDATIONS Summary . . . . . . . . . . Implications . . . . . . . Recommendations for Future Research BIBLIOGRAPHY . . . . . . . . . . . MPENDICES O O O O O 0 0 O O O C O Page 31 LIST OF TABLES Table Page 1. Correlation Coefficients of Reliability of TeSt-ReteSt o o o o o o o o o o o o o o o o 27 2. Relevancy of Items Contained in the Pro- fessional Perception Index . . . . . . . . 28 3. Difference between Medical Technologists and Registered Nurses in Rating Medical Doctors, Medical Technologists and Registered Nurses Using the Professional Perception Index . . 32 4. Differences in Perceptions Given by Medical Technologists and Nurses in Sectarian and Non-Sectarian Hospitals . . . . . . . . . . 34 5. Analysis of Variance of the Education of Medical Technologists and Their Perceptions of Medical Doctors . . . . . . . . . . . . 35 6. Analysis of Variance of the Education of Medical Technologists and Their Perceptions of Other Medical Technologists . . . . . . 35 7. Analysis of Variance of Years of Formal Schooling of Medical Technologists and Their Perception ’of the Activities of Nurses . . . . . . . . 36 8. Analysis of Variance of Years of Formal Schooling of Medical Technologists and Their Perception of the Interaction of Nurses . . . . . . . 36 9. Analysis of Variance of Years of Formal Schooling of Medical Technologists and the Perceptions of Nurses on Total Scores . . . . . . . . . 37 10. Computed F Values of the Years of Formal Schooling of Nurses and Their Perceptions of Medical Doc- tors, Medical Technologists and Registered Nurses . . . . . . . . . . . . . . . . . . 38 xi Table 11. 12. l3. 14. 15. 16. 17. 18. Page Computed F Values of the Experience of Medical Technologists and Their Percep- tions of Medical Doctors, Medical Techno- logists, and Registered Nurses . . . . . . . 39 Computed F Values of the Differences in Experience of Nurses and Their Perceptions of Medical Doctors, Medical Technologists, and Registered Nurses . . . . . . . . . . . 40 Computed F Values of the Age of Medical Tech- nologists and Their Perceptions of Medical Doctors, Medical Technologists, and Regis- tered Nurses . . . . . . . . . . . . . . . . 41 Computed F Values of the Differences of Age of Nurses and Their Perceptions of Medical Doctors, Medical Technologists, and Regis- tered Nurses . . . . . . . . . . . . . . . . 42 Analysis of Variance Age of Nurses and Their Perceptions of Medical Technologists . . . . 42 Per Cent of Total Sample Medical Technologists and Nurses Ranking Other Health Professionals on Status . . . . . . . . . . . . . . . . . 44 Per Cent of Sample Medical Technologists and Nurses Ranking Health Professionals on Salary . . . . . . . . . . . . . . . . . . . 44 Status and Salary Scale . . . . . . . . . . . 45 xii \Elraflnm “‘9'. _ l Appendix A. Definitions of Terms B. Exhibit 1. C. With Program Development . D. Personnel Needs in Hospitals: Needed in 1975 . . E. Statistical Methods F. Health Team Models . LIST OF APPENDICES The Instrument of this Study - Perceptions of the Members of the Health Team . . . Weighing of the Relevance . . Fields With Existing Associate Degree Job- Entry Programs and Associations Concerned Actual Staff 1966 (Estimated) and Estimated Total xiii Page 64 68 76 79 82 84 89 CHAPTER I STATEMENT OF THE PROBLEM The Expanding Horizons of Medical Knowledge The marked proliferation of scientific knowledge, coupled with the rapid expansion in health care services, has increased the demand for health manpower, particularly in the technical areas related to health care delivery. In 1900 there were 60 health profession workers for each physician--today the ratio is one to 400.1 In the fifteen years from 1950 to 1965, while the number of physicians increased by 20 per cent, the number of clinical laboratory personnel rose by 70 per cent. While the number of dentists increased by 15 per cent, the number of dental hygienists expanded by 54 per cent. Frederick C. Mosher2 has shown that there has been a consistent increase in the number of professionals. Between 1900 and 1960 he states that the American labor force grew about 123 per cent while the numbers in professional ~ ass? 1L. T. Coggeshall, Planning for Medical Progress Through Education (Evanston, IlIinois: Association of American Medical Colleges, 1967). 2Frederick C. Mosher, The Professions, Professional Education, and the Public Service (San Francisco: Chandler Publishing Company, 1968). occupations multiplied by 485 per cent. The United States Public Health Service3 reports that in 1967 there were 3.4 million people in health occupations and this figure comprised a gain of one-half million in the allied health occupations since 1965. The Greater Productivity Demand The rapid growth of health care services demands greater physician productivity. This requires delegating routine tasks, now performed by physicians, to other health professionals and technologists. Not only will physicians have to delegate tasks to others, but dentists, nurses, pharmacists and many other health professionals will find it necessary to delegate to others several of their present responsibilities. It is imperative that individuals with various kinds of knowledge and differing levels of skill are educated and trained for the expanding delivery of health care. It is observed that: The "allied" health occupations include a broad range-* perhaps every group beyond medicine and dentistry. 3U. S. Department of Health, Education and Welfare, Health Manpower - United States 1965—67, Public Health Service Publication, 1000 Series 14, Number 1 (Washington D.C.: U. S. Government Printing Office, 1968). 4Report of the Allied Health Professions Education Subcommittee of the National Advisory Health Council, Education for the Allied Health Professions and Services, Public Health Service Publication Number 1600 (Washington D. C.: U. S. Government Printing Office, 1967) p. l. Delegation of responsibility, the develOpment of new allied health occupations by physicians and technolo- gical advances have contributed to the precipitation of the "team" concept in health care. Because the team demands cooperation, collaboration, and a free flow of communication, its members must understand and appreciate the contributions of one another. In an age of intensive specialization, each of the health professions has develOped its own technologi— cal society and professional organization. Because communi- cation is primarily within the individual profession, rather than between professions, there are increasing chasms that tend to isolate one profession from another. In fact, at times, members of one health profession find themselves in direct conflict with members of another health profession. As health professionals are aware, growth and matur- ity of all organisms depend upon the heritage with which they are endowed and upon the environment from which they obtain their sustenance. To each of these ambients adapta- tion must be made continually. Neither inheritance nor adaptability to environment alone will assure mature growth. Each ambient must be present.5 Geoffrey Millerson6 has noted that of all the socio- logical concepts one of the most difficult to analyze is 5William K. Selden, “Just One Big Happy Family," American Journal of Medical Technology, 35-36 (June, 1969), 357. 6Geoffrey Millerson, The Qualifying Associations - A §Eydy of Professionalization, (London: Rutledge and Kegan, Paul,’I964). that of a profession. He points out that the wide and indiscriminate use of the word has led to much confusion. Furthermore, attempts to delineate fundamental character- istics of a profession and to apply them to all professional associations encounter structural limitations and do not allow sufficiently for the dynamic changes which are occurring in all organizations. Despite these admonitions Millerson and others have identified certain characteristics which are commonly accepted hallmarks of a profession. These essential features include: (1) skill based upon theoretical knowledge, (2) skill requir- ing education and training, (3) demonstration of competence by the passing of a test, or tests, (4) integrity maintained by adherence to a code of conduct, (5) service provided for the public good, and, (6) organization of practitioners into a body, the professional association. Williams7 describes the inter—relation of members of different professions working together for the solution of a problem that in some way demands the attention of a number of persons that are skilled in the various areas of the science-art of healing, especially when the combined skills of the various members of the "team," are focused on the problem of healing the affliction of a hospitalized patient: Williams, Donald H., M.D., Director of Division of Continuing Education, Health Science Center, University of British Columbia Vancouver, Canada, lecturing, "Professional Competence and Obsolescence," Royal Victoria Hospital, Ire- land, May 7, 1969. . . . a health team is a group of health professionals with their associated technologists, technicians and other essential staff personnel. The functions of this team are the promotion of health, the prevention of disease, diagnosis and treatment of illness, and the alleviation of suffering. Cooperation, coordination and integration of efforts provide health care that embraces all relevant knowledge, skill and technology by all of the relevant sciences that may be applicable to the art of healing. The health team recognizes every healthy, or apparently well person, each patient, the family, and the community as integral participants in the process of providing this overall care. Autonomy and Competence In contrast with our social attitude towards other occupations, society has accorded professions either expli- citly or implicitly relatively complete autonomy in their ‘work. It has been assumed that if their performance is unsatisfactory only another member of the profession can state whether this is the result of incompetence. Medicine most completely fulfills Becker's8 symbols Of a profession. It is this inheritance which we find present in varying degrees in all of the organized health professions, and which inheritance reinforced by environmental factors leads to potential and actual conflicts among the health professional organizations, and also to conflicts with our rapidly changing public policy. It is important for administrators and supervisors to remember the high price they pay for inefficient conflict Howard S. Becker, "The Nature of a Profession," Education for the Professions, (Chicago: National Society for the Study of Education, 1921). resolution, both from a personal as well as an organizational point of view. Although this is true in any organization it is particularly true in hos- pital administration, where service demands are intense and staff size is at times overwhelming. Conflicts among health professionals which have appeared sporadically in the past, will undoubtedly increase in frequency and intensity in the future. To prevent such potential conflicts from exploding and disrupting the pro- per delivery of health care, increased and more widespread cooperation among the health team professionals and educa- tors of health professionals will be needed. COOperation is more likely to result if there is, first of all, a mutual understanding of the functions and roles of other health professionals and secondly an adequate means of communica— tion among them. Dolson observes, When asked to select six crucial problem areas in their hospital, doctors and administrators emphasized depart- ment head and departmental functioning, planning patient care services, working with medical staff, and business and financial management. The doctors also selected per— sonnel management and employee relations, and community relations crucial. 9Larry L. Larrabee, Ph.D. and Robert E. Lefton, Ph.D., "Managing Intergroup Conflict within Your Organization," figspital Progress, Vol. 49, No. 4, (April 1968), 62. 0Miriam T. Dolson, Ph.D., "M.D.--Administrators are Older, Earn More Money, Run Bigger Hospitals: Survey," Mgdern Hospital, Vol. 112, No. 2. (McGraw—Hill Publication, February, 1969), 96-98. Purpose of This Study The purpose of this study is to determine whether or not there is a difference in the perceptions held by nurses and medical technologists of the necessary char— acteristics of other health professionals for effective team functioning. It is hypothesized that, Health professionals differ in perceptions of their own professional role, individually and collectively, as well as other health professionals with whom they work, individually and collectively. In both sectarian and non-sectarian hospitals the team approach to medical care has developed rapidly within the .last five to ten years. However, there has not been a concurrent change in the education of health personnel to accommodate the team concept. Hypotheses to be Evaluated The following hypotheses are established: H ° There are significant differences in the responses of nurses when compared with medical technologists on the Professional Perception Index. H2: There is a relationship between the age of the nurses and their perceptions of other health team workers. H3: There is a relationship between the age of the medical technologists and their perceptions of other health team workers. H4: There is a relationship between the number of years of experience of the nurses and their perceptions of other health team workers. H5. There is a relationship between the number of years of experience of medical technologists and their perceptions of other health team workers. H6: There is a relationship between the amount of education received by the nurses and their per— ceptions of other health team workers. H7: There is a relationship between the amount of edu- cation received by the medical technologists and their perceptions of other health team workers. Definition of Terms Health Team - A group of health personnel working in concert toward the goal of excellence in patient care. Affective — Relating to arising from, or influencing feelings or emotions. Cognitive - The act or process of knowing including awareness, judgment and action. Nurse - Registered Nurse licensed to practice in the United States. Physician - Medical Doctor licensed to practice in the United States. Health Profession — Can be defined as one for which preparation is at the baccalaureate level. Allied Health Occupation — The "allied" health occupations include a broad range--perhaps every group beyond medicine and dentistry. Technologist - The word "technologist" is used to mean a person with baccalaureate level preparation and registered by the American Society of Medical Technologists. Tavistock Model - Socio-technical system which is a combination of technology and a social system. Technology - Task requirement, physical layout, equipment and supplies. Social System - A system of relationship among those whom must perform the job. Role Theory - Is defined as including theories of interpersonal perception, theories of organizational concept, theories of individual behavior, theories of legislatures, etc., may all involve the concept of role in their explana- tory processes, and thus be considered "role theories." Statistical significance .05 - The .05 level means that an obtained result that is significant at the .05 level could occur by chance only 5 times in 100 trials. Statistical significance .01 — The .01 level means that an obtained result that is significant at the .01 level could occur by chance only once in 100 trials. Theoretical Definitions of Variables The following terms are used throughout this dis— cussion of the study. In order to provide for clarity of meaning they are stated here in glossary fashion. rw—v—v—f—r—w— 10 Independent Variables: 1. Experience - Number of years working as a professional nurse or medical technologist. 2. Education - The number of years spent in college, post high school. Education refers to the highest academic degree earned, diploma or certification. 3. Age - Refers to chronological years. Dependent Variables: 1. Activity - Refers to movements, action, work, typing, 2. Interaction - writing, driving, etc. These are basically things people do to, or with nonhuman objects, or with other peOple when their reaction or reciprocal behavior is ignored (such as cutting a person's hair). Refers to feelings (happy, sad, angry, stern, loving); to attitudes (this is his job; it is time to go; he is con- servative); or to beliefs. These con- stitute the inner state of the person, the things an individual subjectively perceives. 3. Sentiment - Refers to statements about interaction including going with someone, eating 11 together, working together, and the like. The basic characteristic of interaction is that it is behavior directed toward another person when his reaction or reciprocal behavior is taken into account. CHAPTER II REVIEW OF THE LITERATURE Changes in Professional Achievements Ours is indeed an age of startling and breathtaking changes. Surely, this change is reflected in the burgeoning demands for allied health workers precipitating the prolifer— ation of more than 200 health occupations. The result of such proliferation is increased stratification within each health profession, as well as increased conflict among the various health professions. The increased professionalization of health personnel such as nurses and medical technologists has resulted in an increase in professional independence leading to what Levy calls "Intra-Individual Conflict."1 In the present age, no health professional is operating by himself in more or less of an endless vacuum. The physician is being asked to Change from the private entrepreneur to the coordinator, collaborator and responsible agent for the total product of the team effort. ...—-.._— 1Samuel Levy, "The Hospital Reconsidered," Hospital Administration, Fall 1961, pp. 6—21. 12 13 Lambertsen submits that: Traditional roles of all practitioners in the health field are being challenged. If the hospital system is to meet the challenges, the physician in concert with administrators, nurses and other health service personnel must assume responsibility as one of the principal architects. Remedial measures that not only provide for but also demand physician participation in major policy decisions affecting the expansion or limitation of resources or services at any given time are imperative. But just as imperative is the recognition by physicians that many other health specialists, as well as community groups, are competent to-—and expect to-—participate in these decisions. The physician cannot continue to insulate himself from organizational stress and interpersonal conflict, but rather he must become increasingly aware that his con- cept of his role may well be a causative factor.2 Team Member Nervous Stress and Conflict Laporte3 studied the strains between scientists and aidministrators in industrial research organizations from a tzheoretical base similar to Etzioni's. From the literature fie derived seven sources of possible conflict. However, using (fliata from several previous studies, his analysis found only 11‘fi0>sources to be conflictual, goal orientation and restric- tiveness of measures of control and coordination. In inter- preting his findings, Laporte argues that there existed \ I) 2Eleanor C. Lambertsen, Ed.D., "Knowing Roles Aids (Drztor-Nurse Accord," Modern Hospital, Vol. 112, No. 1 (McCraw Hill Publications, JanuaryT969) , 75—77. 61 3T°dd R- LaForte/"Conditions of Strain and Accommo— S a‘Ssion in Industrial Research Organizations," Administrative .IJEEEEEDCG Quarterly, Vol. 10 (June, 1965), p. 24. 14 three "elements of accommodation." They were separation of major functional roles within the organization between scientists, managers, and administrators, mechanisms neutralizing major external strains from corporations and government, and the similarity in background of the scientists, managers, and administrators. This similarity of backgrounds was not far from what Goss found to be operative among physicians in the out— patient clinic.5 She examined the generalization, similar to that questioned by Hall, that professionals require a freedom to make decisions according to their own trained judgment. Her results indicated that no conflict arose ;primarily because all persons in the hierarchy were physi- <:ians, and conflict was avoided because the professional Ilorms governing doctor-doctor relationships deemed such (:onflict unacceptable. What evolved in this situation in— EStead of a formal authority hierarchy was a "formal advisory Irelationship."6 Other investigators have examined the nature of the .EDJfiofessional's conflict with his employing organizations, although each orientation to the problem varies somewhat. \ 41bid., p. 31. ~ 5Mary E. Goss, "Influence and Authority Among Physi- <=31uans in an Outpatient Clinic," American Sociological Review, ‘CDJH 26, (February, 1961), 39—50. 6Ibid., p. 50. 15 Kornhauser, for example, defined the problem as being the basic organizational dilemma of autonomy vs. integration. That is, scientists must be given enough autonomy to enable them to fulfill their professional needs, yet their activity must contribute to the overall goals of the organization. Perucci studied social distance, bargaining power, and compliance with rules on a psychiatric hospital ward. An organization, according to Perucci, is, . . . a network of social distance patterns built about a set of fixed positions, whose occupants behave in such a way as to enhance or maintain their status in the hierarchy.9 He hypothesized that the degree to which attendants on a hospital ward were rule-oriented was indirectly related to their access to public and private knowledge about doctors who were their super-ordinates. Role Theory Levinson sums up the literature on the role theory in these words, g 7William Kornhauser, Scientists in Industry: Conflict fypd Accommodation, Berkeley: University of California Press (1962) . 8 Robert Peurcci, "Social Distance, Bargaining Power 61nd Compliance with Rules on a Hospital Ward," Psychiatry, Vol. 29 (1) (1966), 42—55 91bid., p. 42. loIbid., p. 43. 16 The concept of role remains one of the most over- worked and underdeveIOped in the social sciences. The purpose here is to first sort out the various meanings that have been ascribed to the term, "role," examine the concept of "role concensus," and present a sample of those studies related to the tOpic under investigation. Levinson suggests that different writers, and at times the same writer, have used three definitions of the global term, role. It has been used to connote the struc- turally given demands of a given social position such as norms and responsibilities. In other instances it has been defined as the actions of individual members as seen in relation to prevailing norms. Or it has been defined as the member's orientation or conception of the part he is to play in the organization. And Linton put them all togeth- er and defined "role" to include the attitudes, values and behavior ascribed by the society to any and all persons occupying a status. In this latter sense society shapes the attitudes and beliefs of all the occupants of a given role. An adjunct to the concept of "role," is "role and con— <2ensus." That is, there is a consensus among persons as to ‘Nhat is expected of an incumbent of a particular role. ‘ 1Daniel J. Levison, Role, Personality and Social Eiggucture in the Organizational Setting, Mimeographed paper, 0 10 U . 12Ralph Linton, The Cultural Background of Persep- EELiEY (New York: Appleton-Century 1945). 17 Cross13 in his exhaustive analysis of the role of the school superintendent, however, found little or no consensus to exist among such persons as teachers, school board members and community business— men regarding what constitutes the role of the super— intendent. This lack of role consensus is a characteristic of many in the health field. To assume that a role consensus exists for the hospital nurse or medical technologist, would imply that her role-requirements will be understood and agreed upon by the hospital administration, the nursing authorities, the physicians, etc. TheikflJaciousness of this assumption is borne out by Hurling, Lentz, and Wilson's study of hospitals.15 Using the tech- niques of participant observation and structured interviews over a period of two years, these researchers found, in part, confusion regarding nursing administration, differences in nurses’ needs and expectations about supervision, and a breakdown of the status system, hierarchy and role expecta— tions. The results of other studies of hospitals were similar.16 13Neal Gross, W. S. Mason, and A. W. McEachern, Explpr- fitions in Role Analysis (New York: John Wiley, 1958). 14 Levy, op. cit., p. 15. 15Temple Burling, Edith Lentz and Wilson, Theggiyg EEQQgTake in Hospitals (New York: Putnam, 1956). 16Chris Argyris, Diagnosing Human Relations in Engagnizations: A Case Study of a Hospital (New Haven: Labor Management Center, Yale University, 1956) . 18 The literature on hospitals, specifically, was found to be either anecdotal or of the participant obser— vation type. As Seeman notes with regard to hospital studies, The bulk of work of the status system in medical organizations has been anecdotal in character or has avoided altogether the measurement of medically rele- vant consequences. Also of note is the absence of any methodology utilizing comparison groups across hospitals. Thus, it is evident that concepts such as role conflict and organizational conflict have been used in a variety of ways. Smith's definition of the term "organizational conflict" as being . . . a situation in which the conditions, practices or goals for the different participants are inherently incompatible18 is an example of broad statements that add to the confusion. Not any studies were found which used affective and cogni- tive variables to serve as the basis for Operationalizing the problem of conflict and role confusion in the functioning of the health team. It is believed that the findings of this study will be of help to all health team personnel who have problems Similar to those investigated, and that in some way such ——..__._ .-.__. _. ‘ 17Melvin Seeman and J. W. Evans, "Stratification and I‘Iospital Care: Part 1," American Sociological Review, Vol. 26. 1961, 193-203. 18Clagett G. Smith,"A Comparative Analysis of Some COnditions and Consequences of Intra-Organizational Conflict. gimnistrative Science Quarterly, Vol. 10 (4) March, .1966 04-529. 19 problems will be resolved into cooperative Operationality through innovations in the education of health professionals. CHAPTER III DESIGN OF THE STUDY Types of Research This study will combine the use of historical, descriptive, and analytical research methods. It has been stated that: 1. The purpose of this study is to determine whether or not there is a difference in the perceptions held by nurses and medical technologists of necessary characteristics for effective function- ing; and, 2. It is hypothesized that health professionals differ in perceptions of their own professional role as well as in that of other health professionals with whom they work.2 Although there are multiple health professionals, the author elected to study carefully the nurse and the medical technologist as representatives of the whole. There- fore, in this study, nurses and medical technologists from two sectarian and two non-sectarian hospitals were asked to irate physicians, nurses and medical technologists on several <:ognitive and effective variables. According to Cook3 the nature and purpose of his— ‘torical research in education is described as follows: lSupra., p. 6. 21bid. 3David R. Cook, A Guide to Educational Researgh (BOSton: Allyn and Bacon, Inc., 1965), pp. 15-16. 2L 21 A knowledge of history has often been glibly defended as enabling us to avoid making the same mistakes in the future, or in some cases even to predict the future. There is a grain of truth in this, but it makes more sense to think of an understanding of his- tory as providing us with a perspective on the future. Generally problems involving educational policy or processes can be studied by historical methods. John W. Best gives the following definition of descriptive research: Descriptive research describes and interprets what is. It is concerned with conditions or relationships that exist; practices that prevail; beliefs, or points of view, or attitudes that are being felt; or trends that are developing. The process of descriptive research goes beyond mere gathering . . . of data. It involves an element of interpretation of the meaning or signifi— cance of what is described. Smith, Stanley and Shores5 submit that analytical research is . . . content selection . . . of the things peOple do in order to discover the subject matter functioning in . . . various activities . . . There are three forms of analyses, as activity analysis, . . . job analysis, . . . and use of the processes of analysis to determine the elements of knowledge or the skills having general utility. Nature of the Sample The sample consisted of 75 nurses and 75 medical technologists from four hospitals, two sectarian and two non-sectarian in Illinois. Of the 150 c0pies distributed, 4John W. Best, Research in Education, (Englewood Cliffs, New Jersey: Prentice Hall, Inc., 1959), pp. 102-3. SSmith, Stanley and Shores, "The Nature of ‘Analytical Procedure," Fundamentals of Curriculum Buildigg (New York: World Book Co., 1950) pp. 306-312. 22 147 or 98 per cent were returned. However, 23 of those returned were considered invalid because they had left two or more blanks or two or more items of the Professional Perception Index were not answered. Therefore the sample consisted of 66 nurses and 58 medical technologists, or a total of 124 health professionals (82.6 per cent). Of these 29 nurses and 38 medical technologists are employed by sectarian hospitals. Those used in the study employed by non-sectarian hospitals numbered 38 nurses and 20 med- ical technologists. NUMBER OF NURSES AND MEDICAL TECHNOLOGISTS IN THE SAMPLE Sectarian Non-Sectarian Registered Nurses 29 38 Medical Technologists 38 20 Both the nurses and the medical technologists were chosen at random by using a table of random numbers.6 SAMPLE POPULATION PROFILE Medical Technologist g§ge (years) Experience (years) Education (degree) Sectarigp; 41 were 20-29 6 had -1 1 had A A 30 were 12 were 30-39 23 had 1-3 14 had ASCP 28 were 11 was 40-49 10 had 4-6 40 had BA or BS not ‘4 were over 50 8 had 7-9 3 did not specify 11 had over 10 6John E. Freund, Modern Elementary Statistics (Englewood Cliffs, N. J.: Prentice-Hall, Inc., 1967). 23 Registered Nurse Age Experience Education Sectarian 40 were 20-29 12 had -1 9 had A A 29 were 11 were 30-39 21 had 1-3 44 had ND 37 were not 10 were 40-49 4 had 4-6 12 had BA or BS 5 were over 50 4 had 7-9 1 had MA or MS 23 had over 10 2 did not specify Instrumentation The data instrument of this study was sent to 75 nurses and 75 medical technologists who served four Illinois hospitals. The study was conducted in two sectarian and two non-sectarian institutions. The instrument used is titled "Professional Perception Index," and was designed to measure the "Perceptions of the Members of the Health Team" as may be directly identified by nurses and medical technologists. The study consists of two parts. One is ‘the develOpment of an instrument for the measurement of irole perceptions of nurses and medical technologists. The =3econd part of the study is an analysis of the data obtained Sin.using the instrument developed by the researcher. After a study of Osgood's Semantic Differential, t:he personality attributes underlying Riesman's (1950) Itilner-Directed-Other-Directed distinction, Whyte's (1956) Ci£iscription of the Protestant ethic versus the social ethic, Eilld the self descriptions of top managers versus middle Inanagers reported by Porter and Ghiselli (1957), the researcher 24 put together 150 items considered important for the proper functioning of a health team. Three pilot studies were performed utilizing 11 nurses and 7 medical techno- logists. After an item analysis of their responses, the researcher selected 27 items and combined these items into a composite with thirteen in the affective domain and four- teen in the cognitive domain. In an attempt to conceptualize a model for team functioning, the work of the Tavistock Institute in London was studied. This institute made studies of changing technology in the coal mining industry and the redesign of work in Indian textile mills. From their studies they developed the concept of the socio-technical system which implied that any productive organization or part thereof is a combination of technology (task requirements, physical layout, equipment) and a social system (a system of rela- tionship among those whom must perform the job). The technology and the social system are in mutual interaction with each other and each determines the other. With this concept in mind the twenty-seven variables compiled for this study have been divided into two parts--one relating to technology and the other to the social system as described by Trist of the Tavistock Institute. The model developed by the sociologist George Homans is not fundamentally at odds with the Tavistock model, but is somewhat more differ- entiated and complex. Homans postulates that activities, 25 interactions, and sentiments are mutually dependent on one another. (See Appendix G.) Homans presents three aspects of a model: activities, interaction and sentiment. In Homans' theory there are three elementary concepts: the first, activities refers to move- ments, action, work, typing, writing, driving, etc. These are basically things people do to, Or with nonhuman objects, or with other people when their reaction or reciprocal behavior is ignored (such as cutting a person's hair). Second, statements of sentiment refer to feelings (happy, sad, angry, stern, loving); to attitudes (this is his job; it is time to go; he is conservative); or to beliefs. These constitute the inner state of the person, the things an individual subjectively perceives. Thirdly, statements about interaction including going with someone, eating together, working together, and the like. The basic char- acteristic of interaction is that it is behavior directed toward another person when his reaction or reciprocal behavior is taken into account.7 Thus, any change in any of these three will produce some change in the other two. Therefore, the higher the rate of interaction of two or more people, the more positive will be their sentiments toward each other. In 7George C. Homans, The Human Group (New York: Har- court, 1950). 26 this study, interaction, in the mind of the author, is analogous to social system in the Tavistock studies; activity is analogous to technology and sentiment a function of both interaction and technology. After consultation with various medical doctors, nurses, medical technologists the following items of the instrument were grouped under the heading of Activity, Sentiment and Interaction as proposed by Homans. Item Numbers of Professional Perception Index Sentiment Activity Interaction 1 2 5 7 3 8 12 4 10 16 6 11 21 9 14 22 13 15 24 20 17 25 18 19 23 26 ——— ——— 27 Total 8 7 —I2 In addition, the participants were asked to rank various health professionals as to status and salary. The medical doctor was excluded on the salary question because those in the hospitals used for this study are independent entre- preneurs. The sample consisted of seventy-five nurses and seventy-five medical technologists from four Illinois 27 hospitals--two sectarian institutions and two non-sectarian institutions. The instrument developed by the author is called the Professional Perception Index. Sectarian and non-sectarian hospitals were used because of the possibility that perceptions of professionals in sectarian institutions might be different due to the influence of religious beliefs. Validity and Reliability A group of experienced specialists made up of nine postgraduate nurses with at least five years of experience, seven medical technologists with at least three years of experience, two hospital administrators, two pathologists and one internal medicine doctor were consulted in the development of the instrument. Reliability was computed on a Test-Retest measure from the data obtained from the administration of the instrument to nurses and medical technologists on two different occasions 20 days apart. Table 1. Correlation Coefficients of Reliability of Test- Retest M.D. M.T. R.N. Activity 0.6 0.6 0.8 Interaction 0.6 0.7 0.6 Sentiment 0.6 0.9 0.8 Total 0.6 0.7 0.8 The reliability coefficient is an estimate of the coefficient of correlation between the original set of scores versus the 28 independent scores gathered 20 days later. The correla- tions range between .6 and .9 with the average correla- tion for the entire test being .75. Thus, it is assumed that the reliability of the instrument is within acceptable limits. Weight of Relevancy In order to evaluate the relevance of each item of the instrument a self-administered questionnaire was given to 14 nurses and 12 medical technologists. (See Appendix B.) Table 2. Relevancy of Items Contained in the Professional Perception Index Per Cent of The Measure of Relevancy, Number of Responses Total Responses very important 447 63.67 Moderately important 201 28.63 Slightly important 38 5.41 Irrelevant 3 0.43 If the very important and the moderately important are grouped together, 92.3 per cent of the items of the Professional Perception Index were considered relevant by members of the two health professions studied. This is an indirect measure of the validity of the Professional Perception Index. 29 Statistical Analysis Statistical methods used were "t" Test of Signifi- cance Between Two Sample Means using Fisher's distribution. In addition the Pearson product moment correlation coefficient was used to measure linear regression and correlation. (Appendix E.) The Pearson Product Moment Correlation Coefficient was used in the analysis. The choice of this statistical procedure may be justified on the basis of the random sampling procedure used and the size of the sample. With a sample size of 150 randomly chosen we can assume a fairly normal distribution of index scores. In addition, the scores are independently determined. For a continuous, quantitive range of index scores, the correlation coefficient is a more sensitive and powerful test of relationship than a Chi-Square test or other non- parametric statistical test. Also, the researcher examined hypotheses two through seven by means of application of the t Test of Significance. The t Test of Fisher has been chosen in preference to the Z because of the sample size and the independence of the items used. Limitations of the Study Since this research was done primarily in the Chicago Metr0politan area, one cannot extrapolate to other 30 geographic areas. Furthermore, the 27 variables subsumed under the three categories of Homans' model, activities, sentiment and interaction may not have been accurately grouped. Although there was relatively good agreement on the category to which each variable should be placed, there was some disagreement on the part of nurses and medical technologists especially in the categories of sentiment and interaction. CHAPTER IV ANALYSIS OF RESULTS Differences in Perceptions of Nurses and Medical Technologists The sample consisted of 124 subjects of which 66 were registered nurses and 58 were medical technologists. The instrument used was the Professional Perception Index developed by the author. The instrument, the Professional Perception Index, is a self-administered questionnaire consisting of two parts. Part A deals with demographical information and Part B is composed of 27 items considered part of effective health team functioning. (Appendix B.) The subjects were asked to rank on a 1 to 5 scale medical doctors, nurses and medical technologists on each variable. Each of the items in the Professional Perception Index is independent. Therefore, each subject responded freely to each item and had a range of five possible responses from which he could choose one. The difference in the scores given by nurses and medical technologists are given in Table 3 using t scores and per cent probability that the difference in scores was due to chance. 31 32 Table 3. Difference between Medical Technologists and Registered Nurses in rating Medical Doctors, Medical Technologists and Registered Nurses Using the Professional Perception Index Total or Sub_Total M.D. M.T. R.N. t %p t %p t %p Activity -l.234 30 0.996 40 -5.654 Interaction -2.467 2 0.925 40 -6.504 Sentiment -l.9l4 10 1.077 30 -5.890 1 Total -2.204 5 1.099 30 -6.617 1 The above data indicates that the differences in the per- ceptions of nurses and medical technologists are statis- tically significant in all aspects of the professional per- ception index dealing with nurses. A 1 per cent proba- bility that the difference is due to chance means that the difference is statistically significant at the .01 level or 99 per cent level of confidence. Therefore, we can infer that nurses perceive themselves very differently from the way medical technologists perceive them. When rating medical doctors, nurses and medical technologists differed significantly in the total scores as well as in those items grouped in the category, interaction. Since nurses because of their function are more frequently involved with medical doctors than are medical technologists, the differences in their perceptions are not surprising. A 2 per cent probability that the difference is due to chance means that the difference is statistically significant 33 at the .02 level or 98 per cent confidence level. There are differences in the perceptions of medical doctors by nurses and medical technologists in those items grouped under sentiment. However, the difference is not statis- tically significant because this difference could occur by chance 10 times out of 100 or 90 per cent level of confi- dence. However, this difference of .10 level cannot be disregarded, even though it is less than the commonly accepted .05 level. In Homans' category, Activity, there was far less difference in the scores which medical techno- logists and nurses gave to medical doctors. Thus, we can infer that nurses and medical technologists are more congruent in their perceptions of the activities of medical doctors than in their perceptions of those items of the Professional Perception Index grouped under interaction or sentiment as applied to medical doctors. Although nurses and medical technologists rate medical technologists differently, this difference is not statistically significant. Therefore, we can infer that nurses and medical technologists perceive the activities, interaction and sentiment of medical technologists more similarly than they perceive the same attributes of nurses or medical doctors. 34 Sectarian vs. Non-Sectarian The differences in the scores given by nurses and medical technologists in sectarian and non-sectarian hospitals are given in Table 4 using t scores and per cent probability that the difference in scores was due to chance. Table 4. Differences in Perceptions Given by Medical Technologists and Nurses in Sectarian and Non- Sectarian Hospitals Total or Sub-Total M.D. M.T. R.N.- t %p t %p t gp Activity -0.882 40 -l.1876 30 -0.0924 100 Interaction -0.5851 60 -0.7619 50 -0.9345 40 Sentiment -0.2105 90 -0.0080 100 0.0706 100 Total -0.6523 60 -0.7467 50 -0.4809 70 In this table %p refers to the probability that the differences in the scores were due to chance. Thus we can infer that the perceptions of nurses and medical technologists working in sectarian and non-sectarian hospitals are not significantly different. Thus, on the basis of this data, we can say: Sectarian Sectarian Non-Sect Non-Sect Nurse + Med Tech = Nurse + Med Tech Views Views Views Views this doesn't necessarily mean that Sectarian Non-Sect Sectarian Non-Sect Nurse = Nurse and Med Tech = Med Tech Views Views Views Views 35 Perceptions vs. Education The education of medical technologists does not appear to influence significantly their perceptions of medical doctors and medical technologists. Table 5. Analysis of Variance of the Education of Medical Technologists and their Perceptions of Medical Doctors Source of Degrees Sum of Mean Variation of Freedom Squares Squares P Value Attributable to Regression 1 748.08252 748.08252 2.88030 Deviation from Regression 53 13765.35547 259.72363 Total 54 14513.43750 An F value of 2.880 or 90 per cent level of confidence means that there is a difference but this difference is not signi- ficant at the .05 level. Table 6. Analysis of Variance of the Education of Medical Technologists and their Perceptions of other Medical Technologists Source Degrees Sum of Mean Variation of Freedom Sgpares Sguares F Value Attributable to Regression 1 511.29883 511.29883 2.56755 Deviation from Regression 53 10554.36719 199.13899 Total 54 11065.66406 An F value of 2.567 or less than 90 per cent level of confi- dence means that the differences in years of formal schooling of medical technologists do not significantly effect their perceptions of medical technologists. 36 However, the education of medical technologists does appear to influence their perceptions of nurses in all three of the components, activities, interaction and sentiment. Table 7. Analysis of Variance of Years of Formal Schooling of Medical Technologists and Their Perception of the Activities of Nurses Source of Degrees Sum of Mean Variation of Freedom Squares Sguares F Value Attributable to Regression l 123.23311 123.23311 5.19818 Deviation from Regression 53 1256.46997 23.70697 Total 54 1379.70288 An F value of 5.198 indicates that the difference in the years of formal schooling of medical technologists relative to their perceptions of the activities of nurses is statistically significant to the .05 level. This means that only 5 per cent of the difference can be attributed to chance, therefore, the level of confidence is 95 per cent. When analyzing the dependent variable, interaction, the effects of education of medical technologists on their perceptions of the inter- action of nurses the differences were even greater than those of the dependent variable, activity. Table 8. Analysis of Variance of Years of Formal Schooling of Medical Technologists and Their Perception of the Interaction of Nurses. Source of Degrees Sum of Mean Variation of Freedom Sguares Squares F Value Attributable to Regression 1 463.85693 463.85693 7.66405 Deviation from Regression 53 3207.75757 60.52373 Total 54 3671.61450 37 An F value of 7.664 indicates that the difference in the education of medical technologists relative to their perceptions of the interaction of nurses is statistically significant to the .01 level. This means that only 1 per cent of the difference can be attributed to chance. There- fore, the level of confidence is 99 per cent. The education of medical technologists did not appear to influence to the .05 level of significance their perceptions of nurses on those items grouped under sentiment. The F value for this analysis of variance was 3.47636, which would indicate a confidence level of 90 per cent. When the total number of items of the Professional Perception Index was analyzed, to determine the effects of formal schooling on the perceptions of medical technologists toward nurses, it appears that formal schooling may have an effect on the perceptions of medical technologists when ranking nurses. Therefore, we cannot reject the hypothesis that years of formal schooling influence the perceptions of medical technologists as reflected by the Professional Perception Index. Table 9. Analysis of Variance of Years of Formal Schooling of Medical Technologists and the Perceptions of Nurses on Total Scores Source of Degrees Sum of Mean Variation of Freedom Sguares Squares F Value Attributable to Regression l 1740.51050 1740.51050 7.38732 Deviation from Regression 53 12487.21094 235.60774 Total 54 14227.71875 38 An F value of 7.387 or confidence level of 99 per cent means that the differences in the years of formal schooling of medical technologists suggest that years of formal schooling may effect their perception of nurses. The more years of formal schooling the medical technologist has, the more favorably she perceives the nurse. The years of formal schooling of nurses does not appear to influence their perceptions of medical technologists, medical doctors or nurses . Table 10. Computed F Values of the Years of Formal Schooling of Nurses and Their Perceptions of Medical Doc- tors, Medical Technologists and Registered Nurses Total or Sub-Total M.D. M.T. R.N. Activity 0.26806 0.01107 1.19774 Interaction 0.07965 0.12802 0.03341 Sentiment 0.24723 0.44607 0.10807 Total 0.02351 0.18128 0.00926 None of these computed values are significant, therefore, it cannot be said that the perceptions of nurses are effected by years of formal education post high-school. Perceptions vs. Experience When comparing the years of work experience as a medical technologist with their perceptions of medical doctors, nurses and medical technologists, it appears on the basis of the following data that differences in exper- ience do effect the perceptions of medical technologists. 39 Table 11. Computed F Values of the Experience of Medical Technologists and Their Perceptions of Medical Doctors, Medical Technologists, and Registered Nurses Total or Sub-Total M.D. M.T. R.N. Activity 1.5568 3.6703 0.0068 Interaction 2.2395 5.3772 0.7664 Sentiment 1.3627 1.1487 0.0003 Total 2.3158 4.4561 0.1784 With 1 and 56 degrees of freedom an F value statistically significant at the .05 level must be over 4.000. An F value of 5.377 is statistically significant at the .05 level or 95 per cent level of confidence. Experience of Medical Technologists as compared with their perceptions of Interaction of Medical Technologists. An analysis of the F values and the sign of the regression coefficient indicates that the more experienced medical technologists rated the medical technologist more poorly than did the inexperienced medical technologist especially in the category of interaction. A possible explanation may be that the more experienced medical tech- nologists become more demanding as they get older. Although not statistically significant, the differences in experience of medical technologists appear to effect their perceptions of medical doctors. However, on the basis of this data experience of medical technologists has very little affect on their perceptions of nurses. 4O Differences in the experience of nurses did not appear on the basis of the following data to significantly effect their perceptions of medical doctors, medical technologists and nurses. Table 12. Computed F Values of the Differences in Experience of Nurses and Their Perceptions of Medical Doctors, Medical Technologists, and Registered Nurses Total or Sub-Total M.D. M.T. R.N. Activity 0.8028 0.9612 0.2899 Interaction 0.2161 2.6622 0.0082 Sentiment 0.0116 1.7853 0.0812 Total 0.2655 2.3262 0.0093 With one and 62 degrees of freedom the F value to be statistically significant at the .05 level would have to be 4.00 or more. In the above data it appears that experi- ence of nurses may effect their perceptions of medical technologists especially in the category of Interaction. An F value of 2.6522 means that the level of confidence is less than 90 per cent. Although this value is not statistically significant at the .05 level, the regression coefficient does suggest that the more experienced nurses ranked medical technologists lower than did the inexperienced nurses. Age vs. Perceptions When comparing the age of medical technologists with their perceptions of medical doctors, nurses and medical 41 technologists, it appears on the basis of the following data that age does not significantly alter the perceptions of medical technologists. Table 13. Computed F Values of the Age of Medical Techno- logists and their Perceptions of Medical Doctors, Medical Technologists, and Registered Nurses Total or Sub-Total M.D. M.T. R.N. Activity 0.0372 2.3996 0.1384 Interaction 0.0656 1.9776 0.7910 Sentiment 0.0979 0.6197 0.7210 Total 0.0250 2.0786 0.6875 An F value of 2.399 means that the differences in percep- tions could occur by chance at least one time out of 10 or less than 90 per cent level of confidence. Therefore we cannot reject the hypothesis that the regression line does not do a significantly (to the .01 or .05 levels) better job of representing the data than a horizontal line whose height is the mean. In other words, we cannot be 90 per cent confident if we say that "There is a variation of medical technologists perceptions with age" on the basis of our data. When comparing the age of nurses with their percep- tions of medical doctors, medical technologists, and registered nurses, it appears on the basis of the following data that differences in age may significantly alter the perceptions of nurses. 42 Table 14. Computed F Values of the Differences of Age of Nurses and Their Perceptions of Medical Doctors, Medical Technologists, and Registered Nurses Total or Sub-Total M.D. M.T. R.N. Activity 0.6838 2.7560 0.3326 Interaction 0.3365 5.2518 0.1498 Sentiment 0.7653 4.0241 0.1555 Total 0.1115 5.1502 0.2064 With 1 and 64 degrees of freedom, an F value of 4.00 is statistically significant at the .05 level. Therefore, the data indicate that the age of nurses may influence their perceptions of medical technologists especially in Homans' categories of Interaction and Sentiment as measured by the Professional Perception Index. Table 15. Analysis of Variance Age of Nurses and Their Perceptions of Medical Technologists Source of Degrees Sum of Mean Variation of Freedom Squares Sguares F Value Attributable to Regression 1 1497.74072 1497.74072 5.15020 Deviation from Regression 64 18611.99609 290.81226 Total 65 20109.73437 An F value of 5.1502 is statistically significant at the .05 level. Therefore, these differences are statistically significant at the .05 level or 95 per cent level of confi- dence. Thus, older nurses rated medical technologists better than did younger ones. This may be due to the rapid 43 technological advancements made in laboratory medicine in the past 10 years. If one were to assume that the older nurses were in supervisory positions, they would be more familiar with the technical advancements because they would be requesting laboratory procedures as directed by the physician. However, the age of nurses does not appear to significantly alter their perceptions of medical doctors or nurses on the basis of this data. Status and Salary In addition, the participants were asked to rank various health professionals as to status and salary. The medical doctor was excluded on the salary question because those in the hospitals used for this study are independent entrepreneurs. It is interesting to note that 64 per cent of the total sample population rated the administrator first in status and 46 per cent rated the physician first in status. This may be explained by the fact that a dual hierarchy exists in most hospitals whereby, the administrator is responsible for supplying personnel while the physician diagnoses and prescribes for patients. Therefore, both nurses and medical technologists take directions from both the administrator and physician. However, administrators pay the salaries of both nurses and medical technologists employed by the hOSpital. The following table reflects the data on status: 44 Table 16. Per Cent of Total Sample Medical Technologists and Nurses Ranking Other Health Professionals on Status One Two Three Four Five Six Seven X-Ray Technologist 0 1 17 36 21 Physician 32 57 0 Medical Technologist 0 1 ll 17 25 l7 17 Administrator 64 25 1 0 0 0 1 Practical Nurse 0 2 2 10 10 10 13 Nurse 4 l 37 24 17 8 1 Dietician 0 0 7 10 18 16 26 Pharmacist 0 6 42 26 10 6 2 As to salary, 90 per cent rated the administrator first and 74 per cent ranked the pharmacist second. The dietician was ranked below both the medical technologist and the nurse by 61 per cent. See Table 17 for salary rankings of both nurses and medical technologists: Table 17. Per Cent of Sample Medical Technologists and Nurses Ranking Health Professionals on Salary One Two Three Four Five Six Seven Nurse 0 4 26 37 16 0 Administrator 90 0 0 0 3 Pharmacist 0 74 8 1 1 Practical Nurse 0 0 1 4 9 18 58 X-Ray Technologist 0 0 5 10 28 37 10 Medical Technologist 0 6 21 19 23 ll 8 Dietician 0 2 29 17 18 19 45 Employing a simple ranking procedure it was dis- covered that although both medical technologists and nurses agreed on many positions within the Salary and Status Scales for other health professions, they each saw the other ranked below themselves. Thus, nurses ranked themselves fourth on the Status Scale and technologists sixth. They also ranked themselves third on the Salary Scale while placing the technologists fifth. Conversely, the medical technologists placed themselves third on the Status Scale and ranked nurses immediately below them in the fourth position. Continuing in this pattern they ranked themselves third on the Salary Scale and the nurses immediately below them in the fourth position. Table 18. Status and Salary Scale Registered Nurse Rankings Status Scale Salary Scale Administrator Administrator Physician Pharmacist Pharmacist Nurse Nurse Dietician Dietician Medical Technologist Medical Technologist X-ray Technician X-ray Technician Practical Nurse Practical Nurse Medical Technologist Rankings Status Scale Salary Scale Administrator Administrator Physician Pharmacist Medical Technologist Medical Technologist Nurse Nurse Dietician v Dietician X-ray Technician X-ray Technician Practical Nurse Practical Nurse 46 Summary In summary, nurses and medical technologists have different perceptions of the activities, interaction and sentiment of medical doctors, medical technologists and nurses as indicated by the Professional Perception Index. The greatest differences in the perceptions of nurses and medical technologists occur in the rankings of nurses and medical doctors. The difference in the ranking of nurses by nurses and medical technologists is statistically significant at the .01 level or 99 per cent level of confidence. The difference in the ranking of medical doctors by nurses and medical technologists is statistically signi- ficant at the .05 level or 95 per cent level of confidence. Although not statistically significant, the rankings of medical technologists by nurses and medical technologists cannot be ignored since this 70 per cent level of confidence may indicate a difference. On the basis of this data, the more years of formal schooling a medical technologist has, the higher she ranked nurses especially in the categories of activities (.05 level) and interaction (.01 level). Years of formal schooling appeared to have no significant effect on the perceptions of nurses. The experience of medical technologists has an influence on their perceptions of nurses especially in 47 the categories of nurses' activities and interaction on the basis of this data (significant to the .05 level). The experience of nurses did not appear to significantly alter their perceptions of medical doctors, nurses or medical technologists. The differences in age of medical technologists did not appear to significantly alter their perceptions of medical doctors, medical technologists and nurses according to the Professional Perception Index. Although differences in the age of nurses did not appear to alter their percep- tions of medical doctors or nurses, age differences of nurses did appear to significantly alter their perceptions of medical technologists. These differences were statisti- cally significant to the .05 level or 95 per cent level of confidence. CHAPTER V SUMMARY, IMPLICATIONS AND RECOMMENDATIONS Summary In summary, nurses and medical technologists have different perceptions of the activities, interaction and sentiment of medical doctors, medical technologists and nurses as indicated by the Professional Perception Index. The greatest differences in the perceptions of nurses and medical technologists occur in the ratings of nurses and medical doctors. The difference in the rating of nurses by nurses and medical technologists is statistically significant at the .01 level or 99 per cent level of confi- dence. The difference in the rating of medical doctors by nurses and medical technologists is statistically significant at the .05 level or 95 per cent level of confidence. Al- though not statistically significant, the ratings of medical technologists by nurses and medical technologists cannot be ignored since this 70 per cent level of confidence does indi- cate a difference. On the basis of this data, the more education a medical technologist had, the higher she rated nurses especially in the categories of activities (.05 level) 48 49 and interaction (.01 level). Years of formal schooling did not appear to alter the perceptions of nurses. The experience of medical technologists does appear to influence their perceptions of nurses especially in the categories of nurses' activities and interaction on the basis of this data (significant to the .05 level). The experience of nurses did not appear to significantly alter their perceptions of medical doctors, nurses or medical technologists. The differences in age of medical technologists did not appear to significantly alter their perceptions of medical doctors, medical technologists and nurses according to the Professional Perception Index. Although differences in the ages of nurses did not alter their perceptions of medical doctors or nurses, age differences of nurses did appear to significantly alter their perceptions of medical technologists. These differences were statistically signi- ficant to the .05 level or 95 per cent level of confidence. Implications The advent of comprehensive care and extended care has contributed to the changing role of health professionals. The team approach implies cooperation, collaboration, open communications, elimination of power struggles and commitment to the concept of optimum health care for all. Respect and 50 positive interpersonal relations will be enhanced by an understanding of the contributions of each of the health professionals. Since there are significant differences in the way nurses perceive themselves and the way medical technologists perceive nurses, one can infer, on the basis of this data, that these differing perceptions may contribute to the daily observable conflict on the health team. Because the patient is housed in a unit administered by nurses, the therapeutic, diagnostic and institutional services are usually initiated, coordinated and facilitated by a nurse. In view of the sta- tistically significant differences in the perceptions of nurses by medical technologists, the data in this research would suggest both pre-professional and professional education of medical technologists relative to the role of the nurse. However, this education should begin with emphasis on the commonalities found in the functioning of all health professionals, namely, the best possible patient care. Due to the technological advancements and the resulting radical changes in health care, all health professionals must be educated for change and adaptation. Furthermore, the health professional organizations in consort with hospital administrators need to define the role of each health pro- fessional. The patterns of organization and processes of 51 interaction among the various professionals must be re- assessed. The degree of planned interaction among health professionals is directly related to the quality of patient care. "The many misunderstandings that can occur during each day have a high probability of reducing the opportuni- ties for expert care. Time that probably would be devoted to the care of patients must be used to untangle misunder- standings and salve hurt feelings."1 Because the role of the various health professionals is in a state of transition, differences in the perceptions of these roles must be clarified. In addition to role definition, there must be a definition of the functions and sc0pe of each department in the hospital. In addition to "intra-personal" conflict on the health team, inadequate role definition and role consensus contributes to institu- tional role conflict. When nurses or medical technologists are expected to assume responsibility for a managerial role, the inevitable result is conflict between the organizational goals and professional orientation. Clarification of roles and territorial imperatives might be delineated by the use of inter-professional committees in universities and hospitals. Such committees would give to each health professional the opportunity to 1Luther P. Christman, R.N., Ph.D., "Nurse-Physician Communications in the Hospital," JAMA, 194 (November 1, 1965) 539. 52 voice his Opinions, problems and concerns in an atmosphere of open forum. In universities, inter-professional leader- ship groups could provide direction for curriculum programming with emphasis on the team concept in health care. In-ser- vice education in the hospital could take the form of an open forum where each health professional would be oriented to the role of other health professionals. At the present time, the role of the nurse is fragmentized into many parts. Because she is coordinator of patient services, she must fill in when the specialty person, such as the dietician or medical technologist, does not appear on duty, i.e. in the absence of the dietician, the nurse must pass trays; in the absence of the medical tech- nologist, the nurse must contact a physician or resident physician to draw blood for therapeutic or diagnostic pro- cedures. In this study, nurses perceived the role of medical technologists much more congruently than did medical tech- nologists perceive the role of nurses. This data suggests that medical technologists are not aware of the multiple interactions of nurses with other health professionals nor of the limited interactions of medical technologists with other health professionals. Thus, interdisciplinary education in the pre- professional and professional development of health 53 personnel would help to clarify the roles of health pro- fessionals in the present transition as well as in future planning. As to pre-professional education, the sharing of courses and aspirations, as well as formal and informal conferences on the roles of various health professionals may help to preserve the altruistic nature of health pro- fessional students at the time of their entrance to the program. Since attitudes are shaped in the pre-professional days, it is essential that the high degree of commitment in applicants be preserved and enhanced. For a better under- standing of the role of the nurse, education programs for other health professionals might well include clinical time in nursing to observe the total patient care day and to become cognizant of the fact that an ordinary patient may see 30-40 persons in the course of a single day in the hospital. Conversely, nursing education would benefit from some clinical time at least in the major ancillary departments, i.e., clinical laboratory and radiology. The suggested program content mentioned above could be used for in-service education in hospitals and other health care facilities. In addition, both pre-professional and in-service education should provide background in depth in the field of human relations by providing behavioral science courses and/or workshops dealing directly with patient care. 54 In an effort to convey an understanding of the total patient care environment found within a hospital setting, the author has attempted to devise a model. The model depicts in a schematic drawing the various complicated interplays between members of the health team. In this model, the patient is central and of prime importance. The physician is the closest to the patient since it is because of the physician that the patient is in the hospital. The physician writes the medical orders. These orders then pass through the filter of the nurse who translates these orders and activates the allied health personnel in the appropriate department for implementation. In addition, the specific health professional must colla- borate with the nurse for the efficient performance of the physician's orders. Thus, the nurse is responsible for filtering the doctor's orders. She also initiates orders i.e., oxygen therapy, housekeeping and emergency laboratory procedures. Two-way communication must exist in all facets represented. This graphic representation of total hospital ambience is presented as a partial solution to the misconcep- tions of roles of the various health professionals. 1...; 55 Key: -- interaction between health members only. c—b direct inter- health team member. 1. Pharmacy 11. Cardiology 2. Occupational Therapy 12. Electro-encephalography 3. Physical Therapy 13. Pulmonary Function 4. Radiology 14. Clinic Services 5. Clinical Laboratory 15. Public Relations 6. Chaplain Service 16. Dentistry 7. Housekeeping 17. Dietetics-nutrition 8. Accounting Department 18. Neuro-mental 9. Social Service 19. Volunteer Service 0- Maintenance Department 20. Nursing Education 56 Recommendations for Future Research Since this research was done primarily in the Chicago Metropolitan area the data are limited to that geographic area and may not apply to all parts of America. Research such as this answers some questions but leaves others unanswered and creates still further tOpics for future research. Some problems yet to be explored suggest the following possibilities: 1. Replicate this study in another geographic area. 2. Replicate this study in health facilities other than hospitals (i.e., Nursing Homes, Clinics). 3. Develop a similar study using as subjects other health professionals such as radiologic technolo— gists and dieticians. 4. A similar study involving only students in the health professions in their last year of education. BIBLIOGRAPHY BIBLIOGRAPHY Public Documents Allied Health Profession Education Subcommittee of the National Advisory Health Council. Report of the Committee. Education for the Allied Health Profession and Services, Public Health Service Publication Number 1600 (Washington, D.C.: U. 5. Government Printing Office, 1967), p. 10. Board of Higher Education. Education in the Health Fields for State of Illinois. Volume I. Ben W. Heifieman, Chairman. State of Illinois: June 1968. Board of Vocational Education and Rehabilitation. 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APPENDICES APPENDIX A DEFINITIONS OF TERMS Theoretical Definitions of Variables The following terms are used throughout this discussion of the study. In order to provide for clarity of meaning they are stated here in glossary fashion. Independent Variables: 1. 2. 3. Experience - Number of years working as a Education - Age - Dependent Variables: 1. 2. Activity - Interaction- professional nurse or medical technologist. The number of years spent in college, post high school. Education refers to the highest academic degree earned, diploma or certification. Refers to chronological years. Refers to movements, action, work, typing, writing, driving, etc. These are basically things peOple do to, or with nonhuman objects, or with other peOple when their reaction or reciprocal behavior is ignored (such as cutting a person's hair). Refers to feelings (happy, sad, angry, stern, loving); to attitudes (this is his job; it is time to go; he is con- servative); or to beliefs. These 65 66 constitute the inner state of the person, the things an individual subjectively perceives. 3. Sentiment — Refers to statements about interaction including going with someone, eating together, working together, and the like. The basic characteristic of interaction is that it is behavior directed toward another person when his reaction or reciprocal behavior is taken into account. Definitions Health Team - A group of health personnel working in concert toward the goal of excellence in patient care. Affective - Relating to arising from, or influencing feelings or emotions. Cognitive - The act or process of knowing including awareness, judgment and action. Nurse - Registered Nurse licensed to practice in the United States. Physician - Medical Doctor licensed to practice in the United States. Health Profession - Can be defined as one for which preparation is at the baccalaureate level. 67 Allied Health Occupation - The "allied" health occupations include a broad range--perhaps every group beyond medicine and dentistry. Technologist - The word "technologist" is used to mean a person with baccalaureate level preparation and registered by the American Society of Medical Technologists. Tavistock Model - Socio-technical system which is a combination of technology and a social system. Technology - Task requirement, physical layout, equipment and supplies. Social System - A system of relationship among those whom must perform the job. Role Theory - Is defined as including theories of interpersonal perception, theories of organizational concept, theories of individual behavior, theories of legislatures, etc., may all involve the concept of role in their explana- tory processes, and thus be considered "role theories." APPENDIX B THE INSTRUMENT OF THIS STUDY PERCEPTIONS OF THE MEMBERS OF THE HEALTH TEAM August 19, 1969 Dear Participant, This questionnaire is part of a study of public and non-public hospitals. The objectives of the study are to gain a better understanding of some of the factors that influence both registered nurses and medical technologists. Please respond to the following questions as they relate to your perceptions of the average health pro- fessional. Your responses will remain entirely anonymous. We are concerned only with answers from groups of people, not with any single individual's response. The numbers on the questionnaire serve only to keep the sections together, not to identify persons. Thank you for your cooperation. Sincerely, Sister M. Rosarii Saunders Michigan State University 69 PERCEPTIONS OF THE MEMBERS OF THE HEALTH TEAM Part A Size of Hospital 1. 100 to 200 beds 2. 200 to 400 beds 3. Over 400 beds Nature of Hospital 1. Public 2. Non-public Profession 1. Nurse 2. Medical Laboratory Technologist Offices held in your professional organization (local, county) 1. None (local, county) 2. One to three (local, county) 3 More than three (local, county) Offices held in your professional organization (state, regional) 1. None (state, regional) 2. One to three (state, regional) 3. More than three (state, regional) Offices held in your professional organization (Nat'l., or Int'l.) 1. None (Nat'l., Int'l.) 2. One to three (Nat'l., Int'l.) 3. More than three (Nat'l., Int'l.) What is your marital status 1. Single 2. Married 3. Widowed 4. Divorced 70 10. ll. 12. 13. 71 Please check your age range scale 1. 20-29 2. 30-39 3. 40-49 4. Over 50 Your sex 1. Male 2. Female Predominant shift worked for the past 2 years 1. Days 2. Evenings 3. Nights How many years of experience as either a nurse or medical technologist do you have 1. Less than one 2. 1-3 3. 4-6 4. 7-9 5. Over 10 Please indicate your highest academic achievement. Check only one. . BA or BS MA or MS or MEd Associate of Arts (Community College) Nursing Diploma Registration by American Society of Clinical Pathologists Ph.D. - Ed.D. . Other (Please Specify) UlubLaJNH .0 um Your present position (check only one) . Staff Nurse Head Nurse Nurse Supervisor Staff Medical Technologist Laboratory Supervisor (Two or more units i.e., Chemistry and Hematology). Unit or Department Chief Technologist (i.e., Chemistry or Hematology, etc.) WAUNH 0 o o o ax 72 7. Clinical Instructor in Nursing 8. Clinical Instructor in Medical Technology 9. Other (Please specify) Part B Following is a list of items which are considered part of effective health team functioning. Using the Medical Laboratory Technologist, Registered Nurse and Medical Doctor as professionals on this team, rank (1 = highest; 5 = lowest) the members as you perceive their average performance for each variable. These three team members are listed in alphabetical order for your con- venience. (You may use the same rank number twice as per example #2 below.) Example: (These are not considered part of the health team.) (M.D.) (M.T.) (R.N.) 3 (Ex.) Drives conservative car 2 (Ex.) Is afraid of cars NH O U1 MN (M.D.) (M.T.) (R.N.) . persuasive adheres to hospital policies is organized in work is accurate in observations accepts suggestions well O‘UTAUJNH . is aware of patients' physical needs 7. is discreet in use of confiden— tial information 8. actively contributes to formula— tion of team policy 9. accurate in carrying out pro- cedures 10. possesses respect for contri- bution of other team members (M.D.) (M.T.) (R.N.) ll. 12. 13. 14. 15. 16. 17. l8. 19. 20. 21. 22. 23. 24. 25. 26. 27. 73 has good patient relationship is tolerant of errors of other team members adheres to aseptic techniques has a good relationship with subordinates is willing to communicate down- ward is aware of patients' emo- tional needs seeks contributions of other team members is willing to communicate upward delegates responsibility influences hospital policy adapts easily to change in procedures is willing to compromise when alternative measures are to be presented has a good relationship with other health team profes- sionals (i.e., physician to medical technologist; medical technologist to nurse; etc.) has empathetic concern for the patient readily admits errors and omissions has good relationship with peer members (i.e., physi- cian to physician; nurse to nurse; etc.) uses terminology understand- able to Specific team members ****** 74 On a typical day, how much time do you spend communicating with the following? 0 min. 5 min. 15 min. 30 min. or more 28. a nurse 29. a physician 30. a medical technologist ***** On an 8-point scale (1 being the highest, and 8 being the low- est) please rate to the left of the following according to STATUS in the hospital. 31. _____ x-ray technologist 32. __fl__ physician 33. _____ medical technologist 34. _____ administrator 35. _____ practical nurse 36. _____ nurse 37. _____ dietician 38. pharmacist ***** 0n a 7-point scale please rate the following according to PAY SCALE 39. nurse 40. administrator 41. pharmacist 42. practical nurse 43. medical technologist 75 44. x-ray technologist 45. dietician In your hospital what is your estimate of the average amount of formal education (years post highschool) of the following 46. registered nurse years 47. registered medical laboratory technologist _ yrs. Thank you very much! APPENDIX B Exhibit 1 WEIGHING OF THE RELEVANCE 77 Exhibit 1 Please check the variables #1 through #27, Part B (supra) as to importance for health team functioning. the following scale: V.I. - Very Relevant You may use - Slightly Important M.I. - Moderately Important Irrelevant 81.1. Ir. 1. Persuasive _ 2. Adheres to hospital policies _ 3. Is organized in work _ 4. Is accurate in observations 5. Accepts suggestions well __~~_ 6. Is aware of patients' phy- sical needs 1111 7. Is discreet in use of con- fidential information _ “““w 8. Actively contributes to formulation of team policy 9. Accurate in carrying out procedures _g_ 10. Possesses respect for con- tribution of other team members ___g 11. Has good patient relation- ship ___H - 12. Is tolerant of errors of other team members ,111- 13. Adheres to aseptic tech- niques _.»1 14. Has a good relationship with subordinates 15. 16. l7. l8. 19. 20. 21. 22. 23. 24. 25. 26. 27. V.I. M.I. Sl.I. Ir. Is willing to commu- nicate downward Is aware of patients' emotional needs Seeks contributions of other team members Is willing to communi- cate upward Delegates responsibility Influences hospital policy Adapts easily to change in procedures Is willing to compromise when alternative mea- sures are presented Has a good relationship with other health team professionals (i.e., physician to medical technologist to nurse, etc.) Has empathetic concern for patient Readily admits errors and omissions Has good relationship with peer members (i.e., physician to physician; nurse to nurse, etc.) Uses terminology under- standable to specific team members APPENDIX C FIELDS WITH EXISTING ASSOCIATE DEGREE JOB-ENTRY PROGRAMS AND ASSOCIATIONS CONCERNED WITH PROGRAM DEVELOPMENT APPENDIX C Fields with Existing Associate Degree Job-Entry Programs Dental Assisting Dental Hygiene Dental Laboratory Technology Environmental Health Technology Food Service Supervision Inhalation Therapy Technology Medical Laboratory Technology Medical Record Technology Medical Secretarial and/or Assisting Mental Health Technology Nursing 80 Associations Concerned with Program DevelOpment American Dental Assistants Association and American Dental Association American Dental Hygienists Association and American Dental Association American Dental Association National Sanitation Foundation American Dietetics Association American Association of Inhala- tion Therapists, American Medical Association, American Society of Anesthesiologists, and the American College of Chest Physicians American Society of Medical Technologists, American Society of Clinical Patholo— gists, and American Medical Association American Association of Medi— cal Record Librarians and American Medical Association American Association of Medi- cal Assistants National Commission on Mental Health Careers National League for Nursing and American Nurses Associa~ tion 81 Fields with Existing Associate Degree Job-Entry Programs Associations Concerned with Program Development Occupational Therapy Assisting Ophthalmic Dispensing (Opticianry) Optometric Assisting Prosthetics-Orthotics Technology Source: American Occupational Therapy Association American Board of Opticianry, Guild of Prescription Opti- cians, and Better Vision Institute American Optometric Assoc. American Orthotics and Prosthetics Association National Health Council, A Guide for Health Technology Program Plannipg (1740 Broadway, New York, New York 10019). APPENDIX D PERSONNEL NEEDS IN HOSPITALS: ACTUAL STAFF 1966 (ESTIMATED) AND ESTIMATED TOTAL NEEDED IN 1975 APPENDIX D PERSONNEL NEEDS IN HOSPITALS: 1966 and 1975 for U.S.A. Additional Estimated Actual needed for total Staff 1966 optimum needed in CATEGORY OF PERSONNEL (Estimated) care 1966 1975* Total professional and technical . . . 1,332,100 257,200 2,034,300 NURSING SERVICE: Nurse - RN . . . . . . . . . . . . . 361,000 79,500 563,800 Idcensed Practical nurse . . . . . . 150,600 41,400 245,800 Surgical technician . . . . . . . . 17,600 3,900 27,500 Aide, orderly (except in psychiatric hospitals) . . . . . . . . . . . . . 374,400 51,300 544,900 Aide, orderly in psychiatric hospitals 117,600 18,500 174,200 DIAGNOSTIC SERVICES: lbdical technologist . . . . . . . . . 54,500 9,200 81,500 Laboratory assistant . . . . . . . . . 14,600 2,500 21,900 Cytotechnologist . . . . . . . . . . . 1,600 500 2,700 Histologic technician . . . . . . . . 3,900 700 5,900 Electrocardiograph technician . . . . 5.900 800 8.600 THERAPEUTIC SERVICES: Occupational therapist . . . . . . . . 4,100 2.300 8.200 Occupational therapy assistant . . . . .3,800 1.200 6,400 Physical therapist . . . . . . . . 8,500 2,900 14,600 Physical therapy assistant . . . . 5,200 1,100 8.100 Social worker . . . . . . . . . . . . 10,700 5,100 20.200 Social work assistant . . . . . . . . 1,500 500 2.600 F@creation therapist . . . . . . . . . 3,800 1.600 6.900 Inhalation therapist . . . . . 5,600 2,200 10, 000 Speech pathologist and audiologist 1,200 500 9.200 RADIOLOGY: Radiologic technologist . . . . . . 24,000 3,900 35,700 X-ray assistant . . . . . . . 6,000 900 8,800 PHARMACY: fMarmaCist . . . . . . . . . . . . . 9,400 1,900 14.90“ Pharmacy assistant . . . . . . . . . 5,600 900 8.300 DEDICAL RECORDS: lbdical record librarian . . . . . . . 6,300 1,800 10.400 lhdical record technician . . . . . . 10,100 1,800 l5.200 DIETARY: [Hetitian . . . . . . . . . . . . . . 12,700 3,500 20.7”” Fbod service manager . . . . . . . . . 5,400 800 7.90” KU.other professional and technical . 106,500 16,000 156.800 *EStimated on the basis of present staff and additional needed to give (Wmimum care; taking into account the expected increase (28? ) in hospital beds between 1966 and 1975. &muce: AAJC Occupation Education Bulletin, November 15, 1963. 83 APPENDIX E STATISTICAL METHODS SIMPLE LINEAR REGRESSION AND CORRELATION Where height is a variable denoted by X and weight is denoted by Y we look for a line that goes through the points (Xi'?i)' where Xi is the ith value of the indepen— dent variable and Y1 is our best prediction of the depen- dent variable Y. The form of equation we shall consider first is which is the equation of a straight line with intercept a0 and slope a If we define 1' y1 = Yi - Y x. = X. - X 1 1 thus eliminating one unknown. A simple expression for the SIOpes of the bust- fitting lines through a scatter where "best fit" is defined as that line for which the sum of the squared deviations is a minimum. This relation still holds true for the stochastic case. For that line, _ £(x-i)(Y-i) a1 ' 2(x4x)TI or _ Xxy a1 ‘ z X 85 86 and We can then write the expression for the best prediction of Y as Y. = [Y - alil + a 1X1 Y + a1(Xi-X) MEASURING THE "GOODNESS" OF REGRESSION--CORRELI\TION The average squared error, better known as the variance of points around the best—fitting line, Oylx is defined as before by ~ 2 2 _ >3(Yi’Yi) Oylx — N If the relationship between Y and X is "good" so that all the points in Y lie very close to their predicted values, then £(y-§)2+o and o§lx+0 On the other hand, when the relationship between Y and x is "poor" so that Y is not predicted from the knowledge of x, then for each Xi there will occur a number of values for Yj which represent, in essence, a random sample of values or Y from the total population. When this happens, the host estimate of Y is equal to Y, so that as ‘ "‘ Ila-n: f 87 _~ 3?.»y .‘ 2 ~ _‘2 22(Yi Yi) +L(Yi Y) and 2 02 +0 YIX y We may summarize this by saying that when the relationship described by our linear regression line is "good," Oylx becomes very small. On the other hand, where the regression line does not fit, then knowing Xi will not help us, and 02 will be no better than oz. YIX y We use this knowledge of the relationship between o;|x and o; to define the goodness of a relationship. The measure we employ here is the proportion by which Oylx is smaller than 0; or 02 2 r2 = .x, xix 02 Y where r is known as the Pearson product moment correlation coefficient. Note that if the relationship is good, then limit °2|x = 0 r2+l y and if the relationship is poor, then limit OZIX = O2 r2+0 y y In this way r2 takes on values between 0 and l proportional to the "goodness" with which we can predict Y from a know- ledge of X. 88 The computational formula of r derived from its definition is _ X[(x-X)(Y—Y)1 /§f§:§Tl/EY§ZY77 TESTS OF SIGNIFICANCE "t" Test of Significance Between Two Sample Means (x1 and x2). (Use Fischer's t distribution) Paired variates: ~ d t = _ with N - 1 degrees of freedom Fuai-a)2 JNZN-l; where d = xl—x2 d1: X11’x21 d2: xlz-Xzzetc. N = sample size Unpaired variates: t = i. 22 i 2 ..- J[£1(X11'X1) +£1‘X21‘X2) (Ni-+fil) N1+N2—2 l 2 with N1_N2-2 degrees of freedom where N1 = size of sample 1 N = size of sample 2 2 APPENDIX F HEALTH TEAM MODELS 90 INTERACTION MODEL OF HEALTH TEAM FUNCTIONING* *Based on Homans' Conceptualization of Group Behavior The Human Group, Harcourt & World, New York, 1950. p..- 91 Key: -- interaction between health members only. 9 direct inter- action between health team member. 1. Pharmacy 11. Cardiology 2. Occupational Therapy 12. Electro—encephalography 3. Physical Therapy 13. Pulmonary Function 4. Radiology 14. Clinic Services 5. Clinical Laboratory 15. Public Relations 6. Chaplain Service 16. Dentistry 7. Housekeeping 17. Dietetics-nutrition 8. Accounting Department 18. Neuro-mental 9. Social Service 19. Volunteer Service 0. Maintenance Department 20. Nursing Education TV LIBR I" \lHllilTs 8 353 MICIITIGHWIN‘ MN “MW 3 1 2 9 3 0 3 16 9