A STUDY OF ACCEUENTS "OCCURRING‘ T0 FARM PEOPLE {N MlCHiGAN Thesis for the Degree of M. S. MICHIGAN STATE UNNERSm’ KENNETH MELTON HOFMEESTER .1958 LIBRA x a" " Michiga.. State Univer sity TH E1313 WW5? ‘Eg—hbffl ‘3? \ ABSTRACT A STUDY OF ACCIDENTS OCCURRING TO FARM PEOPLE IN MICHIGAN By Kenneth Milton Hofmeister The agricultural industry has not followed the lead of others in determining the nature and extent of all accidents to its workers. There haS‘been no scientific sampling of Michigan farms on a statewide basis. Little work of this kind has been done to deter- mine the effectiveness of accident prevention programs. Compulsory workmen's compensation insurance for agricultural laborers has become effective, but the rates were based on very limited experience. Many people felt the rates weren't Justified. This study was con— ducted to answer some of the questions about farm accidents. This study covered a one year period from June 1, 1967 to May 31; 1968. The sample was stratified on the basis of type of farming, population; and per cent of gross county sales of the major product in each county. There were ten substrata with one county randomly selected from each of these substrata. - Farm Bureau leaders and county extension agents were responsible for obtaining volunteers. The volunteer interviewers reported all accidents to the farm family and Kenneth Milton Hofmeister accidents to hired labor only while doing farm-work. Only families living on places conforming to the census defini- tion of a farm were interviewed. Data collected by the volunteers about characteris— tics of the farm and accidents occurring to farm people were used to analyze the sources of variance on these farms. Chi-square was the basic test used to compare the actual frequencies and accident rates with theoretical values. Results of the study indicate that accidents occur at the rate of 13.1 per hundred farms or 29.8 per thousand farm family members. Farm-work accidents occurred at the rate of 20.6 per million man hours exposure. Evidence from the sample indicated that size of farm was not signifi- cantly related to the incidence of accidents when varying amounts of exposure were taken into account. The accident rate of hired labor was significantly higher than that of the farm family. Statistically sig- nificant differences were not found according to types of farms. However, values close to significance were found. A more detailed study might conclude that differences do exist. Farm-work accident frequencies were affected by both age and sex groups. Male accident rates are consist- ently higher than female rates. / /’ l I , , Approve“. ’ I Major rofess r Approved ‘ Department Cha rman A STUDY OF ACCIDENTS OCCURRING TO FARM PEOPLE IN MICHIGAN By Kenneth Milton Hofmeister A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Department of Agricultural Engineering 1968 I.“ a 1‘ . ACKNOWLEDGMENTS The author wishes to express his deep appreciation to Dr. Richard Pfister, Agricultural Engineering Department, for his guidance and supervision. His experience and ideas were a constant source of assistance throughout this study. Appreciation is also extended to Dr. Merle Esmay, Agricultural Engineering Department; Kenneth Siwicki, National Safety Council; Larry Ewing, Field Services, Farm Bureau; andbhwh Arlene King, Agricultural Economics, for their cooperation and assistance. Acknowledgment is extended to the county extension agents and Farm Bureau Safety Chairmen in the counties involved in the study for their assistance in administra- tion of the study. Without their untiring efforts and the .many hours of work by volunteer interviewers, this project could not have been completed. The author is indebted to Dr. Daniel Sturt, director, Rural Manpower Center, Michigan State University for obtaining financial support to make this investigation possible. 11 TABLE OF CONTENTS Page ACKNOWLEDGMENTS . . . . . . . . . . . . . 11 LIST OF TABLES . . . . . . . . . . . . . V LIST OF FIGURES . . . . . . . . . . . . . iX Chapter I. INTRODUCTION . . . . . . . . . . . l 1.1 Need for a Study . . . . . . . . l 1.2 Objectives . . . . . . . . . . A 1.3 Hypotheses . . . . . . . . . 6 1.4 Limitations to the Study . . . . . . 7 1.5 Definitions . . . . . . . . . . 8 II. REVIEW OF LITERATURE . . . . . . . . . 10 2.1 Introduction . . . . . . . . . . 10 2.2 General Incidence . . . . . . . . 11 2.3 State and National Statistics . . . . 13 2.4 Summary . . . . . . . . . . . 20 III. PROCEDURES . . . . . . . . . . . . 22 3.1 Introduction . . . . . 22 3.2 Selection of the Sample Counties . . . 23 3.3 Organization of the Survey . . . . . 2A 3.4 Responsibilities . . . . ; . . 26 3.5 Developing the Questionnaire . . . 28 3.6 Conducting the Training Meeting . . . 30 3.7 Data Collection . . . . . . . . . 32 3.8 Summarization of Data . . . . . . . 33 IV. ANALYSIS OF DATA . . . . . . . . . . 3A 4.1 Incidence of Accidents . . . . . . 3A A.2 Validation and Extrapolation . . . 37 “.3 Exposure to Accidents . . . . . . . Al A.A Farm-work Accidents . . . . . . . 50 iii Chapter Page A.5 Characteristics of the Total Farm Accident Situation . . . . . . . . 65 4.6 Effects of Accidents . . . . . . . . 81 V. SUMMARY . . . . . . . . . . . . . . 8A VI. CONCLUSIONS . . . . . . . . . . . . 87 VII. RECOMMENDATIONS . . . . . . . . . . . 89 REFERENCES . . . . . . . . . . . . . . . 91 APPENDICES . . '. . . . . . . . . . . . . 95 A. Letter to T. D. McFarland, National Safety Council, Informing Him of the Michigan Farm ACCident SUUdy o o o o o 0‘ o o o o o 96 B. Letter to Kenneth Siwicki, Seeking the Co- Operation of the National Safety Council . . 98 C. Sample Letter to Each Volunteer Interviewer Reminding Them of the Forthcoming Training meeting 0 o O O O O O O 0 o o O O 100 D. Suggested Responsibilities of Personnel Involved in the Study . . . . . . . . 102 E. Timetable for County Agents . . . . . . . 104 F. Sample News Release for Use by County Agents . . . . . . . . . . . . . 107 G. Basic Data Sheet Questionnaire . . . '. . . 109 H. Accident Report Forms . . . . . . . . . 111 I. Interviewers' Instructions and Step-by-Step Procedure for Interviewers . . . . . . . 115 J. Summary Report Sent to Each Interviewer Following the First, Second, and Third Quarter Reports . . . . . . . . . . 121 iv Table 4.3 4.4 4.5 4.6 4.7 4.8 4.9 4.10 4.11 LIST OF TABLES Accidental death rates of several industries in 1966 Data from farm accident studies in four states. Accident rates calculated from studies in Ohio 0 0 O O 0 O O O O I O O 0 Theoretical Poisson distribution compared to the actual number of accidents reported on 2139 farms . . . . . . . . . . . Comparison of 2130 farms in the sample with estimated 1967 census figures by acres of cropland . . . . . . . . . Comparison of 2139 farms in the sample with 1964 census figures by farm population Farm family and hired labor eXposure to farm— work‘accidents Exposure tO'farm-work accidents by time operator spent working on farm . . . . Farm family and hired labor exposure to farm— work accidents by size of farm . . . Comparison of per cent of farms and exposure by size of farm . . . . . . . . . Farm family and hired labor exposure to farm- work accidents by type of farm . Comparison of per cent of farms and exposure by type of farm . . . . . . . . . Farm family and hired labor exposure to farm- work accidents by age and sex . . . . Comparison of per cent of farms and exposure by age and sex . . . . . . . . . Page 12 13 19 36 38 40 44 44 45 46 47 48 49 50 Table 4.12 4.13 4.14 4.15 4.16 4.17 4.18 4.19 4.20 4.21 4.22 4.23 4.24 4.25 Number and frequency of accidents classified by farm family and hired labor 0 O O O O O O I 0 Number and frequency of accidents classified by farm family labor and hired labor with and without workmen' s compensation insurance Number and per cent of farms and total farm— work accidents classified by time spent working on farm . . . . . . . Number and frequency of total farm-work acci- dents classified by time spent working on farm . . . . . . . . . . . Number and frequency of family farm-work accidents classified by time spent working on farm . . . . . . . Number and frequency of hired labor farm-work accidents classified by time spent working on farm . . . . . . - . . . . Number and per cent of farms and total farm— work accidents classified by size of farm . Number and frequency of total farmework accidents classified by size of farm Number and frequency of family farm-work accidents classified by size of farm Number and frequency of hired labor farm—work accidents classified by size of farm Number and per cent of farms and total farm— work accidents classified by type of farm Number and frequency of total farm-work accidents classified by type of farm . Number and frequency of family farm-work accidents classified by type of farm Number and frequency of total farm-work accidents classified by sex vi Page 52 53 54 56 56 56 57 58 58 59 61 61 62 63 Table 4.26 4.27 4.28 4.29 4.30 4.31 4.32 4.33 4.34 4.35 4.36 4.37 4.38 4.39 4.40 4.41 Page Number and frequency of total farm-work accidents classified by age and sex . . . 64 Number and frequency of family farm-work accidents classified by age and sex . . . 64 Number of accidents by time spent working on farm and activity at time of accident . . 66 Number of accidents by size of farm and activity at time of accident . . . . . 66 Number of accidents by type of farm and activity at time of accident '. . . . . 68 Number of accidents by sex and activity at time of accident . . . . . . . . . 69 Number of accidents by age and sex and activity at time of accident . . . . . 69 Number of accidents by month and activity at time of accident . . . . . . . . . 71 Number of accidents by day of week and activity at time of accident . . . . . 72 Number of accidents by hour of day and activity at time of accident . . . . . 73 Number of accidents by seriousness of injury and activity at time of accident . . . . 74 Number of'accidents by type of’injury and activity at time of accident ‘. . . . . 75 Number of accidents by part of body injured and activity at time of accident‘. . . . 76 Number of accidents by agency most closely associated with injury and activity at time of accident . . . . . . . . . 78 Number of accidents by how person got hurt and activity at time of accident '. . . . . 80 Number and per cent of accidents by days at home . . . . . . . . . . . . . 82 vii Table Page 4.42 Number and per cent of accidents by days in hospital 0 O O O O O O O O O O I 82 4.43 Number and per cent of accidents by cost of medical treatment . . . . . . . . . 83 viii LIST OF FIGURES Figure Page 3.1 Counties selected by a random stratified sampling procedure . . . . . . . . 25 3.2 Farm accident study organizational structure . . . . . . . . . . . 27 ix I. INTRODUCTION 1.1 Need for a Study Today, people in all walks of life are becoming concerned with safety of human life. The auto industry has increased its emphasis on safety devices and reduc- tion of accidents to employees in its factories. Similarly, people connected with agriculture are becoming more involved with the high cost of farm accidents. Industrial companies are experimenting with safety devices, educational people are concerned with safe practices, the federal government has become involved with the hiring of farm youth, and in Michigan workmen's compensation has come into effect for farm employees. The agricultural industry has lagged behind others in determining the nature and extent of injuries to farm people. There have been very few extensive studies of the total accident problem in agriculture. Members attending a conference on farm safety research Sponsored in part by the National Safety Council (1959) outlined some of the basic needs in the area of farm accident research. These needs still prevail. 1. There is a critical need for more non—fatal farm accident information at local and national levels. 2. Inadequate research in farm safety at the present time places serious limitations on rural accident prevention potential. 3. There is.a need for detailed information on attitudes, safe working habits and methods of integrating safety into family goals. Several factors brought about the need for an in— depth farm accident study in Michigan. Compulsory workmen's compensation for farm laborers in Michigan became effective July 1, 1967. Along with this compensation came rates which were highly disputed by almost everyone involved with compensation. The rates, as announced by John Marshall (1967), General Manager of the Michigan Rating Bureau, were based on very limited experience on farms in Michigan-and some experience from other states which have compensation for farm laborers. Many people involved felt the rates set by the rating bureau were far too high especially for some "safer" types of farming. Others, however, felt that rates for some types of farming were not high enough. The wave of controversy sparked the allocation of funds necessary to conduct a study of accidents to Michigan farm people. There has been no scientific sampling of Michigan farm accidents on a statewide basis. Information now available has largely been gathered from coroner's reports, state agencies, hospitals, and newspaper clippings. These sources fail to give a complete picture of the accident situation. Statistics available by such agencies as the National Safety Council are clouded by variations in definitions, reporting methods, and sampling techniques. There is a need for a systematic sampling of farms with accepted sampling techniques. Methods of obtaining a random, representative sample of Michigan farms was needed. A representative sample would give information about accidents which could be extrapolated to give statewide figures on accident frequency, severity, costs, and the like. An obvious need for such information comes from the order issued by the Department of Labor listing sixteen hazardous occupations. Untrained youth under 16 cannot be hired to perform these hazardous jobs. There is a need for further definition of the relative hazards of these occupations. A scientific sampling would help in defining these potential hazardous occupations. There has been little research in the past which has provided usable information for extension personnel, safety groups, and others concerned with farm safety. The Agricultural Safety Workshop of the 1962 President's Con- ference on Occupational Safety as reported by Lloyd (1963) pointed out the problem when it cited the lack of adequate information on farmwork accidents and limited research and practical application of such information as serious deterrents to effective farm accident prevention programs. Information on the major causes of farm injuries and potential safety hazards would be useful in determining the areas to be stressed in safety education programs. A study could also provide information on effectiveness of present programs in safety such as the use of slow- moving vehicle emblems in the state. An accident prevention program is begun with the belief that it will lower the accident rate. The effec— tiveness of a program cannot be evaluated unless the accident rate both before and after the program is known. An initial study would provide a benchmark for later studies. Present statistics on accident frequency, severity, and costs could be used to compare with changes in the years to come. Problem areas discovered could be dealt with through education 1.2 Objectives An obvious need for a study of farm accidents in Michigan existed. There were many potential benefits from such a study. With these needs in mind four basic objec- tives, each with a number of subdivisions were developed. First, this study was designed to determine the characteristics of farms and farm families such as: 1. Number of males and females by age 2. Size of farm and major source of income 3. Exposure to farm accidents of: a. Farm family b. Hired help under workmen's compensation c. Hired help not under workmen's compensation The second objective was to procure information on the total accident picture to Michigan farm residents; frequency, severity, types, causes and cost. Specific items to be investigated were: 1. Farm family accidents: a. To different age groups b. By types of farming c. By exposure groups 2. Financial cost of accidents: a. Time lost due to accidents b. Medical costs c. Days and cost of hired help to replace injured person. Providing supplemental information in the area of agricultural workmen's compensation rating and the nature and incidence of accidents that would come under agricul- tural workmen's compensation was the third objective. Items necessary to investigate this objective include: 1. Accidents to hired hands under agricultural workmen's compensation 2. Accidents to hired hands not under agricultural workmen's compensation 3. Accidents to hired hands versus farm family compared with exposure to accidents 4. Accidents to hired hands for the various types of farming 5. Accidents to hired hands for various exposure groups. The fourth objective was to collect information for use in safety education and as a basis for future studies in Michigan and other states. By choosing a representative sample, estimates could be made of the total accident situ- ation on Michigan farms. Information could be collected such as who or what was involved in the accident. Possible ways of reducing reoccurrence of accidents were to be inves- tigated. The lack of comparable studies from state to state was of concern. Therefore, whenever possible, cooperation was established with the National Safety Council to provide some common denominator which might yield data for use on a regional and national basis (see Appendix B). To do this definitions were to be used which could in time become the standards for studies conducted in other states. This study will attempt to establish a benchmark in Michigan in order that future studies could be compared to this one. With the foregoing objectives in mind, specific hypotheses were developed. 1.3 Hypotheses There is no significant difference in the distribution of farms according to size in the sample and in the census figures. There is no significant difference in the distribution of the farm pOpulation in the sample and in the census figures. There is no significant difference between actual frequencies of accidents per farm and the expected frequencies. There is no significant difference in the farm-work accident rate between the various types of farming. There is no significant difference in the farm-work accident rate between different size of farming Operations. There is no significant difference between the farm— work accident rate to hired help and the farm-work accident rate to farm family members. There is no significant difference in the farm-work accident rate on farms where the head of household spends more than 50% of his time farming and where the head of household spends less than 50% of his time farming. There is no significant difference in the farm-work accident rate among the different age groups. There is no significant difference in the farm-work accident rate among age and sex groups. There is no significant difference in the farm-work accident rate among the days of the week. 1.4 Limitations to the Study A survey was conducted to gather data for this study. The following limitations were established: 1. The study was to cover a one year period from June 1, 1967 to May 31, 1968. 2. The study will be limited to rural farm families. Rural non-farm families will not be included. 3- Volunteer interviewers were used to conduct this study because of the high cost of professional interviewers. 4. This study will be confined to gathering informa— tion about the physical and environmental aspects of accidents. 5. A11 accidents to the farm family and accidents to hired hands only while doing farm work will be reported in this study. 6. A random stratified sample was selected. 7. Only accidents, which resulted in injury, were reported. Property damage accidents were not included. 1.5 Definitions For the purpose of this study, the following terms and concepts were used: Accidental injury (injury).——An accident which resulted in injuries which required professional medical care (doctor, hospital, nurse, X-ray, etc.) or resulted in the loss of one—half day or more of time from normal activities. Family member.—-Any person regardless of relationship or other status who lives in the household more than one— half of the time. Fagm.--A farm family as defined by the United States Census Bureau (1964) is any family living at a place Operated as a unit of 10 or more acres from which sale of agricultural products totaled $50 or more (places of less than 10 acres are a farm if sales of agricultural products is $250 or more). Farm employee.—-A person outside of the family hired by an employer to do work on a farm. No person shall be considered an employee if the person is a spouse, child, or other member of the employer's family residing in the home or on the premises of the agricultural employer. Geographical.--In an attempt to obtain a representa- tive sampling of all Michigan farms, a stratified random sample was used. This consisted of one randomly chosen county or group of counties from each of ten substrata in the state. Substrata were chosen on the basis of type of farming, population, and per cent of gross county sales of the major product in each county. Reportable accident.-—An accident that results in an injury to a farm family member regardless of where the injury occurs or an accidental injury that happens to hired hands, while doing farm work, was reportable. Accidental injuries which occurred to the hired hand off the job or to the hired hand's family was not reportable. Seriousness of injury.—-(1) Fatal—-means they died during the survey quarter; (2) Permanent-—lost finger, hand, eye, will never be able to walk again, others; (3) Severe--broken leg, cut ligament, sprained back, others; and (4) Slight-—minor cuts, sprains, burns, others. II. REVIEW OF LITERATURE 2.1 Introduction A large number of studies dealing with the incidence of farm accidents have been conducted. Some deal with the general incidence, while a large number deal with a specific subject such as farm tractor upsets (Schneider, 1967) and fatal accidents to farm people (Wardle, 1958). Most studies do not deal with the total costs in money and time lost from all accidents to farm people, nor with the overall accident situation and what can be done to improve the situation. The main emphasis in this review of literature will be with studies conducted dealing with a representa- tive sampling of farms. Some studies dealing with a specific subject will be reviewed to illustrate the statistics available. Reference lists by Siwicki (1967) and the National Safety Council (1959) were used to locate some studies for review. More recent studies were gathered from various sources. Only studies which illustrate sampling techniques, study procedures, definitions used, and state and national statistics pertinent to this project were reviewed. Conferences reported by Lloyd (1963) and the National Safety Council (1959) summed up the present 10 11 situation in the agriculture industry. Both reported essentially the same thing. A summarization of the two conferences points out the situation and needs for farm safety: 1. Lack of adequate information of farm—work accidents. 2. Need to clarify terminology and increase research and statistical services. 3. Need for increased cooperation and coordination at the national level in all fields of safety. 4. Need for increased manpower in safety education. 5. Lack of comparable definitions and statistics from study to study. 6. Need for continuous survey of accidental injuries and deaths. 7. Need for studies Of recall method used in accidental injury surveys. 2.2 General Incidence The National Safety Council publishes yearly, a report on accident statistics. This booklet by Smith (1967) provides a summary of the best estimates available. Estimates from the National Health Survey indicate over 730,000 farm residents in the United States sustained disabling injuries in 1966. The cost Of accidents due to deaths and injuries, property damage in auto acci- dents, and fires was at least twenty billion dollars in 12 1966. Accidents are the leading cause of death among all persons aged 1-37 and fourth leading cause Of deaths to all ages. Death rates from accidents in agriculture are high when compared to other industries. Only construction and mining rank higher. TABLE 2.l.——Accidental death rates of several industries in 1966. Industry Deaths/100,000 Workers in 1966 Trade 8 Manufacturing 10 Service government 13 Transportation and public utilities 40 Agriculture 69 Construction 74 Mining and quarrying 108 An accident as reported by the National Safety Council was that occurrence in a sequence of events which usually produced unintended injury, death or prOperty damage. Disabling injury was defined as an injury causing death, disability, or any degree of temporary total dis— ability. No accident rate per million man hours was 13 presented for agriculture so it cannot be compared with other industries. 2.3 State and National Statistics 2.3.1 United States Rush (1962), in a summary of various studies in the United States, indicated that accident fatalities are not declining in proportion to the decline in farm population. He reported an annual mortality rate of 60-70/100,000 farm population. Lost time injuries involved about 19% of the population or 19 injuries/100 farms. More than 80% of these accidents were reported due to carelessness or failure to deal with hazards safely. Limited data from farms in four states showed: TABLE 2.2.—-Data from farm accident studies in four states. Number of Accidents/Farm Number of Farms Per cent Total 0 10,726 75.5 1 2,479 17.5 2 683 4.8 3 190 1.3 4 or more 131 .9 TOTALS 14,209 100.0 14 Data from workmen's compensation experience with farm wage workers from state studies, vital statistics, and from the National Health Survey indicate that for every 10,000 accidents, there are 25 deaths, 4 permanent total disabili— ties,l,496;permanent partial disabilities, 5,367 temporary disabilities with loss of time, and 3,108 injuries with no loss of time. Rush also reports falls, motor vehicles, and machinery respectively as the three leading causes of accidents. Another study by Rush (1957) points out one of the problems in literature. Figures are listed for the annual average number of fatalities and injuries from 1949—1953 to farm residents. Footnotes indicate that duplication of injuries exists in some statistics due to reporting methods. This gives misleading information when the statistics are presented in tabular form. 2.3.2 England and Wales The following item was included from the Journal, Ministry of Agriculture (1959 and 1960), because it illustrates the type of statistics that are quite often found in literature. The two articles listed simply the fatal accidents in agriculture in 1958-1959 in England and Wales. The figures indicated the total number and a breakdown by various causes of fatal accidents in agri— culture. This is an interesting statistic, but no indi— cation is given of the total farm population or exposure 15 to farm work accidents. The figures themselves tell very little about the overall fatal accident situation in England and Wales. 2.3.3 Ontario (Canada) The Ontario Department of Agriculture (1961) con- ducted a comprehensive twelve month survey of farm accidents from March 1, 1959 to February 20, 1960 to discover causes, types, extent and cost of farm accidents in Ontario. The survey was conducted on a county and district basis under the leadership of the Agricultural Representative, in COOperation with farm organizations. The counties and districts were divided into small areas with a local reporter responsible for all accidents in that area. A total of 5500 accident reporters were involved. Accidents were forwarded to the Department of Agriculture every three months. An accident was defined as one in which the victim required medical attention, two or more hours of time were lost through injury, or prOperty damage exceeded $25.00. Accidents to peOple on farms and to farm people off the farm were included. Traffic accidents accounted for almost one-half of the deaths. During the twelve months, 7,835 accidents were reported with 293 deaths. No indication was given in the summary report of the accident rate, only numbers of accidents were presented. 16 2.3.4 Indiana Ismail (1958) conducted a study during a six month period from January to June 1958, in nine counties with approximately 21,500 persons living on 5,810 farms. Members of Home Demonstration Clubs were used as volun- teer interviewers. Farms were Visited or telephoned once a month to collect accident information. No approved random sampling procedures were used, therefore a random sample was not obtained. An accident was defined as any suddenly occurring unintentional mishap which caused injury or handicap to the person involved in the conduct of normal activities, to the extent of one-half day or more total time lost, and also includes any property damage exceeding $50. A farm, as defined by the U.S. Bureau of Census (1954), was considered to be any tract of land of three acres or more on which agricultural products or livestock are produced for the market. Also it can be a tract of less than three acres producing $150 worth or more of agricultural products for yearly sale. During the six month period, 650 accidents occurred. The yearly accident rate was 11.2 accidents/100 farms or 30.3 accidents/1000 people. Seven fatal accidents were reported for the 5,810 farm families. Extrapolating gives 65.3 deaths per 100,000 farm people. Farm accident fre— quencies differed according to size of farm. Rate of l7 accidents for each type of farming was approximately the same . 2.3.5 Missouri This study by Gadalla (1962) from November 1, 1959 to October 31, 1960 included an extensive state wide survey to determine the incidence of farm and farm home accidents. Families in the sample were interviewed by professional personnel who explained the study and obtained basic information about the farm and family. Individual farmers kept exposure and accident records which were collected regularly by professionals. The state was divided into four social areas, and eight social areas or sub-areas. One core county was selected from each area which best represented the average of the area. The percentage of farm operaters in each area determined the number of sampling units drawn at random from each core country. The U.S. Bureau of Census (1954) definition was used to identify a farm. An accident was defined as an event or occurrence being the unintended, unplanned consequence of action on the part of person(s) directly responsible ‘ and reported as such. Although having the potential to result in fatal or non-fatal injury, loss of time, and property damage, the accident may or may not have brought any such result. 18 The study consisted of 2,007 families with 7,227 individuals. The peak number of accidents occurred during the summer months. A total of 1,040 accidents were reported giving an accident rate of 140.2/1000 population. This high accident rate is probably due to the definition of an accident used. 2.3.6 Ohio Three studies were conducted for a one year period by Baker g£_a1, (1959), Bible and Stuckey (1965), and Phillips and Stuckey (1968) involving Ohio farm families. A farm family as defined by the U.S. Bureau of Census (1959) was any family living at a place operated as a unit of 10 or more acres from which sale of agricultural products totaled $50 or more (places of less than 10 acres were a farm if sales of agricultural products was $250 or more).Injury was defined as any injury to any person living or working on a farm, that required pro— fessional medical care (doctor, hospital, nurse, X—ray) or results in loss of one—half day or more of time from the normal activities of the injured. A stratified random sample of Ohio counties was selected for each survey. Contacts were made every three months by volunteer interviewers obtained through the county agents in the various counties. The 1967 study varied from the previous two; it included rural non-farm people as well as rural farm people. In addition 19 to the accident study, the 1967 study also included a health survey of the people interviewed. Cuts, fractures, sprains, and bruises accounted for over 80% of the injuries. Almost 75% of the acci- dents occurred to men and boys who accounted for about one-half of the population. Accident rates were as follows: TABLE 2.3.—-Accident rates calculated from studies in Ohio. Year Rate/1000 farm people %h:§ gigggefiggt 1957 42 16.7 1962 46 14.3 1967 58 16.7 2.3.7 Pennsylvania Roy (1957) conducted a two phase study containing a general survey of commercial farms in Pennsylvania dealing with the incidence of farm accidents and secondly a study of specific human traits that might contribute ’ to accidents. The study covered 2,288 commercial farms with about 11,100 people from October 1, 1954 to September 30, 1955. A truly random sample was not considered economically feasible. Attempts were made to get a.representative sample with the cooperation of junior and senior high 20 school vocational agriculture students throughout the state. A farm was confined to people living on what is referred to in the United States Census of Agriculture as "Commercial" farms. Non-commercial farms were excluded. An accident was concerned with injury to the person with very little emphasis on property damage. Any injury sustained by a person that required medical attention and caused a loss of one hour or more of time either at home, during farm work or off the farm on the highway was reported. A total of 354 accidents on 2,288 farms were reported for a rate of 15.47 accidents/100 farms, or 31.9 accidents/1000 people. A rate of 30.12 disabling farm-work injuries per million man—hours work was reported. 2.4 Summary From the studies reviewed the following general con— clusions may be drawn: 1. There have been few attempts at standardization. In Ohio where three parallel studies have been conducted using the same definitions, trends may become evident. Differences in rates between states are reported. These differences may be due to reporting methods and definitions rather than actual differences in accident rates. 2. There has been very little work done on acci- dents to farm people versus exposure to those accidents expressed in some time-work unit. Further work on exposure data would seem practical. 21 3. A standard definition of an accident and of an injury would be desirable for comparison purposes. 4. Several of the studies conducted used no approved random sampling techniques. 5. Differences in accident rates by size of farm were reported. However, Ismail (1958) reported no significant differences in accident rates by type of farming. 6. Very little literature is available pertaining to accidents sustained by hired farm laborers insured by a workmen‘s compensation policy. III. PROCEDURES 3.1 Introduction A proposal for a farm study of farm accidents occur- ring in Michigan was prepared by Richard Pfister in 1966. This proposal outlined the basic objectives, points to be investigated, and a possible procedure. No previous study of this kind had been conducted in Michigan. The necessary funds for this project were allocated by the Rural Manpower Center in the Department of Agricultural Economics at Michigan State University. Originally the project was to be conducted during the year of 1967, but delays in obtaining an investigator set back the project until June of 1967. Contacts were made with the National Safety Council (see Appendix A) and a team of investigators in Ohio (see Appendix B) who were conducting a farm accident and health survey. These contacts provided orientation with regard to possible procedures, sampling techniques, and past experiences. A meeting in Norwalk, Ohio was attended on March 29, 1967 to observe interviewer training. Limitations of manpower and funds made it necessary to use volunteers to gather information. In order to provide unbiased information a set of questionnaires were developed which would provide consistent responses from 22 23 several hundred volunteers. The questionnaires had to be developed after the sample was selected and interviewer training meetings scheduled because of time limitations. Target dates for interviewer training meetings were early September in order that accidents during the months of June, July, and August could be included in the first quarter reports. This gave the subsequent timing of pro- cedure events and gave a very tight schedule. 3.2 Selection of the Sample Counties A sample population of 2-3% of Michigan farms was desired. To obtain this number of farms it was necessary to obtain enough interviewers initially to cover 3-4% of the farm population. A completely random sample of farms was ruled out because of the great diversity of goods pro- duced. Also Wright and Caul (1967) stated that 41 of Michigan's 83 counties produce 88% of the state's total farm product income. Vilardo (1966) outlined a procedure for obtaining a stratified random sample which was used to get a more representative sampling of Michigan farms. This procedure was selected to take advantage of knowledge about the distribution of types of farming, cash income, and population distribution. The state was subdivided into ten strata each with approximately equal population. To account for heterogeneity of types of farming, the state was subdivided into one livestock, one fruit, two cash crop, two dairy, and four general farming areas. 24 Each county or group of counties in the substrata had a minimum of about 500 farms in order to have enough farms to draw a sample. One county and one alternate was chosen from each strata. 3.3 ,Organization of the Survey Farm Bureau and the county extension agents agreed to cooperate.‘ By obtaining cooperation from Farm Bureau it was anticipated that the work-load could be spread among more peOple as opposed to using county extension agents exclusively. Extension personnel were involved in the project because their existing structure fit in with the needs for disseminating information and collecting data and as professional personnel they have a strong interest in completing a project once a commitment has been made. A contact was made with each of the county extension agents in the counties in the sample, explaining the basic concepts of the study and asking for their cooperation. Simultaneously, the manager of the Field Services Division of Farm Bureau contacted the respective Farm Bureau County Presidents in these counties, requesting that they obtain a volunteer chairman who would meet with the county extension agent and the project leader to discuss pro- cedures for obtaining volunteer interviewers and establish a training meeting date. 25 \ I \ d I ' "- ’v’ C? ’ ’ .t' I _v '~\-' o” Counties Selected Various Strata Cash Crop Monroe Tuscola Dairy Mecosta St. Clair 3. Fruit Van Buren—Berrien (combined) General Farming Alpena Branch Jackson Kent 5. Livestock Delta Figure 3.l--Counties selected by a random stratified sampling procedure. 26 3.4 Responsibilities Planning meetings were held for county extension agents and Farm Bureau safety chairmen during the first two weeks of August. At these meetings the responsibili— ties Of personnel involved in the study were explained (see Figure 3.2) and training meeting dates for volunteer interviewers set. Training meetings were scheduled between September 5 and September 14. The Farm Bureau Safety Chairman had the responsibility of obtaining the volunteers with the assistance of the county extension agent. In several counties where the Farm Bureau chairman failed to perform this function, the county extension agents filled the gap by recruiting volunteers with their own office personnel At the outset of the project the main responsibilities of the county extension agent were to secure a training meeting location, act as the collection center for gathering questionnaires and send reminder letters for quarterly accident reports and other communications. The project leaders organized the meeting dates, trained interviewers, developed questionnaires, provided instruction kits, set up sampling procedures, and analyzed data. A complete listing of respective responsibilities is given in Appendix D. 27 Project ‘ Coordinators H County Extension 7 Agents State 7 Farm 4‘ , Bureau Trained Office Interviewer County' AAccident' Farm Reports Bureau 4 Times President Per Year A Vr Basic County County Data Farm Extension Bureau Agents FZEI1 Safety ' . _ y Chairman [10 families per] I InterVIewer I__I J .1 l L 1 1 1 . IA VolunteerS] Volunteers Interviewer Training Session Trained Orientation Interviewer Materials [10-35 per county] T Howto interview LJIIIIIIIL1111I_ Farms assigned How to report Figure 3.2—~Farm accident study organization structure. 28 3.5 Developing the Questionnaire A basic objective of this study was to develop methOds and questionnaires which could be used in future studies. For this reason, the appendices of this thesis provide several representative letters of communication and all of the questionnaires used in the study. Several of the forms from previous studies were examined. Although none of the basic data questionnaires used in previous studies was suited for this study, the format of a study by Phillips, gt_al. (1967) was most beneficial in concept. The design of the questionnaires was completed in August. The basic data sheet (Appendix G) was designed to provide fundamental information about the farm and farm families in the sample. This information was used in validating the sample and showing the relationships between accidents and various variables. Two factors were important in selecting type and number of questions. Since interviewers volunteered their time, the questionnaires were to be short. Also, it would be advantageous to have forms which would allow a large cross-section of people to give uniform responses. This could be achieved by keeping the questions simply answered. Questions were selected with this in mind. Exposure to farm accidents to both the farm family and hired hands was needed to determine farm-work accidents 29 per unit of time. It was assumed that volunteers would be unlikely to spend time to collect exposure data each quarter or at the end of the survey. Either method would have been a preferred one, but since they were not available, the "best available" measure would logically be the exposure to farm accidents during the year preceeding the study. With these limitations in mind the interviewer was asked in question 20 (see Appendix G) to place a "best estimate" of the number of eight hour days spent by members in each age group doing farm work during the preceding year. Similarly, in question 3, the number of eight hour days spent by hired hands doing farm-work during the preceding year was sought. Question 4 attempts to isolate the number of employees that would come under each category of required Workmen's Com- pensation coverage as defined by the Workmen's Compensation Department (1966). Question 11 indicates the number and type of workmen's compensation policies in effect as of September 1967. A bi-level reporting system for accident reports was developed. The first level report form (see Appendix H) consisted of factors common to all accidents such as who, where, what, when, and how the injury occurred. Specifi- cally, question 8 dealt with where the person was treated and by whom. Question 11 dealt with miscellaneous aspects of the total cost of accidents to farm peOple. 30 A brief description of the accident consisting of two or three sentences was requested in the final question. This description was useful in determining unusual circum— stances which sometimes are not evident from simple check response items. The second level report (see Appendix H) was a supple— mental accident report form which gave detailed information about a specific tractor accident. On this form an attempt was made to get usable information on the exact nature of the accidents, the type, year, and model of tractor involved, driving experience, speed of tractor, and other contributing circumstances. Another second level report (see Appendix H) con- sisted of a supplemental medical form to collect information about medical costs which were incomplete at the time the accident was first reported. The questionnaires along with supporting instructions were developed into an interviewers' training kit which assembled all the necessary items for one volunteer to conduct an accident study for a one year period on ten farm families. These kits were distributed to volunteer interviewers at the training meetings. 3.6 Conducting the Training Meeting Training volunteer interviewers meant taking busy farmers and farm wives away from their normal work. A major emphasis was made by the investigators to explain 31 fully the basic objectives of the study which was to be con- ducted. Meetings were conducted on a time schedule to limit the length of the meeting to two hours. This still allowed adequate time for dealing with questions. Before the meeting began, volunteers were assigned the ten farms each was to interview. Some means of obtain- ing a random sampling of farms in the individual counties selected was necessary. If the volunteer interviewers were allowed to choose the farms they wanted to interview, surely they would be selective, choosing only those which would be most cooperative.~ A procedure similar to that used by Phillips-313i. ' (1967) in previous studies in Ohio was selected. This procedure assumes that the density dis- tribution of volunteer interviewers will approximate the density distribution of farms in the county. Each volun- teer interviewer's residence was located on a county map. At the training meeting the interviewers were instructed to go in a certain direction from their home accepting as their sample the first ten families living on farms along this route. ‘The route was determined by the project coordinator who had little or no knowledge of the families in the county. ‘This procedure attempted to maintain the randomness in selection of farms. County samples were quite uniformly distributed by sending interviewers in various directions.' This also prevented overlapping of one interviewer's sample upon another. 32 The training meeting proper consisted of an introduc- tion to the study followed by an explanation of use of each form and the proper way to complete it. A summary step-by- step procedure (see Appendix I) was provided for each inter- viewer. This listed the exact tasks and deadlines to be met by the interviewer. 3.7 Data Collection The first quarter reports consisted of basic data sheets for each farm family and reports on any accidents during the months of June, July, and August 1967. Inter— viewers were to complete these reports and send them to the county extension agents by September 30, 1967. During the last week of November a summary of some Of the basic data from the master data sheets was sent to each county agent (see Appendix J) who in turn sent it to each interviewer along with a reminder note for the second quarter report. The second quarter survey period, September to November, was completed between December 1-15. Although some of the reports were late in arriving at the county agent's office, all but four of the 233 interviewers who sent in first quarter reports, sent in second quarter reports. A similar procedure was followed in March and again in June for the third and fourth quarter reports respec- tively. An arbitrary cutoff deadline of July 30 was set. 33 The final tally showed that 224 out of the 233 first quarter interviewers completed the project. 3.8 Summarization of Data The data collected was prepared for analysis by coding the information on each questionnaire. The information from these coded forms was then placed on data cards by keypunch operators. Each data card was punched and verified to ensure accuracy. The computer available at Michigan State University was used to accumulate the information from both the basic data and accident report forms. Chi-square was the basic statistical test used to compare the actual frequencies and accident ratestith theoretical values. IV. ANALYSIS OF DATA e4:1 Incidence of Accidents During the one year survey period, 280 reportable accidents occurred on the 2139 farms in the study. Of these 280 accidents, 142 were farm—work accidents. Hired labor protected by workmen's cOmpensation insur— ance were involved in 20 of 31 accidents to farm laborers. Of the total accidents reported, 136 or 48.6% occurred on the farm, 68 or 24.3% occurred in the home and homeyard, 37 or 13.2% on roads and highways, and 39 or 13.9% in other places Off the farm. Farm-work accidents accounted for 142 or 51.7% of the total, 15 or 5.3% occurred to persons involved in home— work, 27 or 9.6% to persons in work other than on the farm or in the home, and 94 or 33.4% occurred to people during periods of leisure activity. Many of the accidents caused only slight injury. Only 2 or .7% were fatal, 12 or 4.3% caused permanent injury, 82 or 29.5% were classified as severe injury, and 182 Or 65.5% caused only slight injury. The incidence of all accidents was (1) 13.1 per hundred farms and (2) 29.8 per thousand farm family members. 34 35 It is difficult to meaningfully compare the figures obtained in other studies because of the many different definitions used of an accident. Numerically, the accident rate of 11.2 accidents per hundred farms and 30.3 accidents per thousand people in an Indiana study by Ismail (1958) comes closest to this study. However, both the definition of a farm and an accident differed slightly from this study. The studies conducted in Ohio by Baker and Stuckey (1959), Bible and Stuckey (1963), and Phillips and Stuckey (1967) were similar in procedure and in definition of accidents. Rates of 42, 46,and 58 accidents per thousand people respectively were calculated from data reported. The corresponding figure in this study was 29.8 per thousand people. The large discrepancy may be due to differences in actual accident rates or in accuracy of reporting. The National Safety Council (1968) reports figures on the disabling injuries per million man hours exposure. The definitions in this study did not include disabling injuries. An approximation of disabling injuries can be obtained by sorting farm—work accidents which resulted in loss of one day or more from normal activities. The resulting rate was 14.67 accidents per million man hours. This is slightly more than twice the average of 7.22 for all industries. This may indicate that farming is more dangerous than the average industry. 36 Farm accidents are often assumed to occur by pure chance. The Poisson distribution would be followed if there was an equal propensity for accidents to occur on each farm unit. The hypothesis that there was no signifi— cant difference in the distribution of actual accidents and the expected according to the Poisson distribution was tested. Table 4.1 presents the actual and expected frequencies of accidents per farm according to the Poisson distribution. A Chi—square test of goodness of fit was applied. The Chi— square value obtained was 103.8 which is beyond the critical value needed for significance. Therefore the hypothesis that there is an equal propensity for accidents to occur on each farm unit must be rejected. Accident frequency was related to factors associated with farm units. TABLE 4.l.—-Theoretical Poisson distribution compared to the actual number of accidents reported on 2139 farms. Number of Accidents 0 l 2 3 4 Per Farm Probability by Poisson .8772 .1149 ,00754 .000329 .0000107 Theoretical expected frequency 1876 246 16 .7 .02 Actual number of farms reporting 1859 192 32 8 0 Chi-square = 103.8 df = 4 p < .01 37 4.2 Validation and Extrapolation If any generalized statements about the statewide accident picture are to be made, the sample must be analyzed to see how closely it reflects the actual situation in the state. The United States Census of Agriculture figures were chosen for validation because it provides a comparable statistic in all states. The absolute magnitude on census figures is not correct, but relative figures from state to state would be Similar. The distribution of the size of farming operations and the farm family population available from both the sample and census figures were compared. 4.2.1 Size of Farm A Chi-square goodness of fit test was used to analyze the hypothesis of no significant difference in the distribution of farms in the sample and in census figures by size of farm. The farm picture in Michigan is changing rapidly, with a trend to larger farms. There was more than a 15% reduction in number of farms from 1959 to 1964. The 1964 census figures are the latest available. Changes in the picture from 1964 to 1967 were estimated by extrapolating changes during the 1959 to 1964 period to 1967. A definite trend toward a large decrease in small farms less than 50 acres and an increase in large farms above 500 acres existed. 38 The Chi-square value of 42.1 in Table 4.2 shows that statistically significant differences exist in the distribu— tion of farms by size in the sample and in the census figures. Two—thirds of the contribution to Chi—square comes from the small farms of less than 50 acres. The causes of discrepancy in the two distributions can only be speculated. One source of error could be in selection of farms. Interviewers may be more likely to pass over a small farm than a large one, assuming that the farm was too small when in fact it complied with the census definition of a farm. A second source of discrepancy may be in the estimated 1967 census figures. The number of farms in Michigan has been decreasing by over 3% per year during the TABLE 4.2.--Comparison of 2130 farms in the sample with estimated 1967 census figures by acres of cropland. Acres Of Cropland Numbegensgz: cent NumbgimpPzr cent Less than 50 16,599 20.0 317 14.9 50 - 99 20,486 24.8 526 24.7 100 - 499 43,117 52.0 1,289 56.8 500 - 999 2,408 2.9 67 3.1 lOOO—Over 232 ,3 ll .5 TOTAL 82,842 100.0 2,130 100.0 w... V—F— * Estimated by extrapolating changes in number of farms from the 1959 to 1964 census. ' Chi—square = 42.1 df = 4 p < .01 39 last decade. This makes it very difficult to extrapolate census figures accurately. The differences in the actual distribution of Michigan farms and the sample may not be as large as the differences indicated in the sample and extrapolated census figures. 4.2.2 _FarmfPopulation The Chi-square test was used to determine if any significant difference existed in the distribution of the farm population in the sample and in the census figures. The only usable figures by age and sex were from the 1964 Census of Agriculture. It was assummed that the distribu- tion of population by age would not vary greatly from 1964 to 1967 even though the absolute numbers of people on the farm decreased. Table 4.3 shows that significant differences do exist in the distribution of farms in the sample and in the census figures. It must be concluded that the random stratified sample taken from Michigan farms does not statistically reflect the total state according to census figures. A visual inspection of Tables 4.2 and 4.3 shows that the sample does resemble the population even though it does not reflect it. Since the census figures for 1967 were only an estimate one cannot say with assurance that an adjusted census figure would give more accurate informa— tion than“using the actual sample. 40 TABLE 4.3.——Comparison of 2139 farms in the sample with 1964 census figures by farm pOpulation. A Census Sample ., ge Number Per cent Number Per cent Male Under 5 14,630 4.1 272 3.3 5-14‘ 43,743 12.4 1,076 12.9 15-24 27,212 7.7 741 8.9 25-44 34,288 9.7 794 9.5 45-64 47,880 13.5 1,105 13.2 65—Over 17,678 5.0 384 4.6 Female _ Under 5 13,621 3.9 261 3.1 5 -14 40,394 11.5 992 11.9 15—24 22,297 6.3 602 7.2 25-44 36,985 10.5 878 10.5 45-64 41,012 11.6 944 11.2 65—Over 13,040 3.8 314 3.7 TOTAL 352,679 100.0 8,363 100.0 Chi—square = 60.2 df = 11 p < .01 The sample does not accurately reflect the total state, therefore an accurate indication of the statewide accident picture from the sample in the state is not justi- fied. However, the best estimates from the data available can be presented. Caution must be used in accepting these figures as facts. Extrapolation to statewide figures will be made on a simple multiplication factor. This will give an estima- tion of the number of accidents in the total state. To obtain the accident rate per farm, the number of accidents is divided by the number of farms in the sample. 41 280 _ . 2,139 - .131 acc1dents per farm Using this rate to extrapolate for the 82,842 farms in Michigan: 82,842 x .131 = 10,750 estimated accidents to farm people. This is about as far as the extrapolation is justified. In defense of this figure, the statistical difference noted in the sample does not always constitute a real difference. With the large number of farms involved, even small per- centage differences become statistically significant. Also, as will be shown in section 4.4.3, little significant difference was found in the farm-work accident rate among size of farms when exposure to farm—work was taken into account. 4.3 Exposure to Accidents Figures in published materials about farm accidents are often quoted as accidents per hundred farms or per thousand people compared with various characteristics of the farm. From these rates, statistical significance is or is not concluded for these various characteristics. This method does not take into account the varying amount of time spent working on various size of farms, type of farms, among age groups, and the like. Statistical con- clusions really do not isolate the source of variance. 42 For example, smaller farms normally have less accidents per hundred farms. This may merely indicate that much less work is done per individual and/or per farm unit. This would reduce the accident rate. A procedure which accounts for differences in part time and full time farming Operations is exposure to farm- work accidents. Although many problems exist in obtaining accurate exposure data, it offers a means of calculating a more meaningful accident rate. This has been lacking in past years. Industry has a built—in reporting system via its payroll. This gives the hours exposure for every job in industry. When an accident record is kept, rates can be easily calculated. Such data is not so easily collected in the agricultural industry. Most farm Operators do not keep accurate records of time spent working on the farm. An estimate of exposure to farm-work accidents was Obtained by estimating the exposure to accidents during the year preceding this study for age and sex groups for both the farm family and hired labor. This and other information collected at the beginning of the study was used to provide exposure to farm—work accidents for the following characteristics of farms: 1. Farm family and hired labor 2. Time spent working on farm 3. Size of farm 43 4. Type of farm 5. Age and sex. Because of the amount of exposure in certain cate- gories was relatively small, some groups had to be com- bined to obtain large enough theoretical accident frequencies to justify statistical testing. However, data for exposure to accidents will be presented without com— bination in order that percentages of the total exposure are not lost. This will give an indication of how large a sample would be needed to obtain any given amount of exposure for a group. 4.3.1 Farm Family and Hired Labor Table 4.4 shows that farm family labor accounted for 85.6% of the total exposure, hired labor with workmen's compensation 12.0%, and other labor 2.4%. Farm families had an averagecfi‘2,772runus per farm, and with hired labor 3,236 hours. 4.3.2 Time Spent Working on Farm Table 4.5 indicates the differences in exposure to what can be called full time farmers (50% or more) and part time farmers (less than 50%). Combining data given in Table 4.5, shows that part time farmers contributed only 18.1% of the total farm accident exposure. These farmers lived on 39.4% of the 44 TABLE 4.4.--Farm family and hired labor exposure to farm- ‘ work accidents. Exposure to Farm-work Accidents Type of Labor Hours Per (000) cent Farm family 5,929 85.6 Hired labor under workmen's compensation 828 12.0 Hired labor not under workmen's compensation 164 2.4 TOTAL 6,921 100.0 TABLE 4.5.--Exposure to farm-work accidents by time Operator spent working on farm. Exposure to Farm-work Accident Time Spent Working on Hours Per Hours Per Farm Farm Family cent Hired Labor cent (000) (000) 50% or more 4,762 80.5 912 92.0 Less than 50% 1,167 19.5 80 8.0 TOTAL 5,929 100.0 992 100.0 farms in the sample. Total average hours per farm for full time and part time farmers were 4,408 and 1,482 respectively. The corresponding figures when only the farm family is considered were 3,700 and 1,386 hours per farm. 45 4.3.3 Size of Farm Table 4.6 shows the farm family and hired labor exposure by size of farm. The farm family contributed 91% of the exposure hours on farms less than 100 acres while contributing only 68% of the hours on farms larger than 500 acres. Sixty per cent of the total farms were larger than 100 acres, and had over 85% of the hired labor in the study. Farms larger than 1000 acres had about 2% times as much hired labor as farm family labor. TABLE 4.6.--Farm family and hired labor exposure to farm- work accidents by size of farm. Size of Farm Exposure to Farm-work Accidents (acres) Hours Per Hours Per Farm Family cent Hired Labor cent (000) (000) Less than 50 438 7.4 35 3.5 50 — 99 1,066 18.0 115 11.6 100 — 199 1,190 32.3 252 25.4 200 — 499 2,163 36.5 432 43.6 500 — 999 302 5.1 56 5.7 1000 and above 40 .7 101 10.2 TOTAL 5,919 . 160.6 991 100.0 46 Information from Table 4.7 shows that farms of less than 200 acres accounted for 70% of the total farms, but had only 55% of the total exposure to accidents. This table indicates that the average hours exposure per farm climbs rapidly as the size of farm increases. TABLE 4.7.--Comparison of per cent of farms and exposure by size of farm. Per cent Total Exposure Size of Farm of total farms Per cent Average hours per farm Less than 50 14.9 6.8 1,494 50 - 99 24.7 17.1 2,245 100 - 199 30.4 31.2 3,341 200 - 499 26.4 37.5 4,619 500 - 999 3.1 5.2 5,349 1000 -above .5 2.2 12,807 TOTAL 100.0 100.0 4.3.4 Type of Farm Table 4.8 shows that 65% of the total farm family labor comes from livestock farms which constitute only 51% of the farms. In contrast, 43.4% of the hired labor exposure comes from fruit farming which has only 6.0% of the total farms. Most of the labor is hired on fruit and various kinds of livestock farms. 47 TABLE 4.8.--Farm family and hired labor exposure to farm— work accidents by type of farm. Type of - Exposure to Farm-work Accidents Farming Hours Per Hours Per Farm Family cent Hired Labor cent (000) (000) Cash crop 1,059 17.8 108 10.9 Dairy 1,958 33.1 168 10.9 General livestock 1,041 17.6 67 6.8 Beef 583 9.8 54 5.4 Fruit 362 6.1 429 43.4 General farming 354 6.0 59 6.0 Hogs 179 3.0 17 1.7 Truck farming 155 2.6 52 5.2 Poultry 89 1.5 0 0 Soil bank 10 .2 0 0 Other 138 2.3 37 3.7 TOTAL 5,928 100.0 991 100.0 The relative amounts of exposure per farm can be seen in Table 4.9. Fruit, truck farming and dairy are the top three in labor consumption. Cash crop and other farms averaged only one-fourth to one-third as many hours per farm. Cash crop farms with almost 30% of the farms had only 16.9% of the exposure to farm accidents, while fruit farms with only 6.0% of the farms had 11.0% of the farm- work exposure. 48 TABLE 4.9.--Comparison of per cent of farms and exposure by type of farm. Type of Farm ZTrTSEEI ,Total Exposure Farms Per cent Average hours per farm Cash crop 28.5 16.9 1,925 Dairy 20.5 30.7 4,888 General livestock 15.9 16.0 3,286 Beef 11.0 9.2 2,720 Fruit “ 6.0 11.4 6,225 General farming 5.4 6.0 3,619 Hogs 3.0 2.8 3,111 Truck farming 2.0 3.0 4,930 Poultry 1.6 1.3 2,564 Soil bank 1.5 .1 309 Other 4.6 2.6 1,775 TOTAL 100.0 100.0 4.3.5 Age and Sex Table 4.10 shows quite clearly that much of the work on farms is done by males. Sixty-two per cent of total exposure is by males. Assuming that males and females have an equal frequency rate of accidents, 62.0% of the farm-work accidents should occur to males. This hypothesis will be tested in section 4.4.5. As might 49 TABLE 4.lO.--Farm family and hired labor exposure to farm- work accidents by age and sex. Exposure to Farm—work Accidents Age Hours Per Hours Per Farm family cent Hired Labor* cent (000) (000) Male 5-14 267 4.5 52 5.2 15-24 643 10.0 220 22.2 25-44 1,379 23.2 315 31.8 45-64 1,926 32.5 187 18.8 65-Over 439 7.4 33 3.3 Female 5-14 100 1.7 15 1.5 15-24' 137 2.3 41 4.1 45-64 490 8.3 31 3.1 65-Over 88 1.6 2 2 TOTAL 5,929 100.0 993 100.0 *Age categories for hired labor are under 16 and 16-24 for both male and female. be expected, the age categories of 25-44 and 45-64 have the largest percentage of labor for both males and females. The total exposure by age groups was not available because of the method of collecting data. For that reason, Table 4.11 shows only farm family exposure data. Different age groups show a disproportionate amount of exposure to farm-work accidents. This would suggest that using numbers of people to calculate accident rates would be subject to considerable error. It would seem logical to use exposure 50 TALBE 4.ll.--Comparison of per cent of farms and exposure by age and sex. Per Cent Farm Family Exposure Age of Farm Family Members Per Cent Average hours per person Male 5-14 13.7 4.5 248 15-24 9.5 10.8 868 25-44 10.1 23.2 1,737 45—64 14.1 32.5 1,742 65-Over 4.9 7.4 1,144 Female 5-14 12.7 1.7 101 14—24 7.7 2.3 228 25-44 11. 7.7 524 45-64 12.1 8.3~ 518 65-Over 4.0 1.6 281 TOTAL 100.0 100.0 to accidents as a standard for accident frequency. This method will be explored in greater detail in section 4.4 of this chapter. 4.4 Farm-work Accidents The incidence of farm-work accidents was: (1) 6.67 per hundred farms or (2) 20.6 per million man hours exposure. 4.4.1 Farm Family and Hired Labor A hypothesis was made that there is no significant difference between the farm-work accident rate to hired 51 help and farm family members. Two Chi—square tests were used to test this hypothesis, one comparing accidents to the farm family and total hired labor, the second compares accidents to the farm family and hired labor with and with- out workmen's compensation insurance. The accident rate was computed in this and following sections by dividing the number of accidents in each category by the number of million man hours of exposure to farm-work accidents for that group. For example, the overall accident rate for all farm—work accidents was the total number of accidents, 142, divided by the total number of million man hours exposure, 6.921. Therefore: 6&32I = 20.5 accidents per million man hours exposure. The Chi-square statistic was computed by comparing the actual accident frequency with the theoretical. The theoretical frequency can be found by taking the per- centage of the exposure in any one group times the total farmrwork accidents in all groups. If 25% of the exposure is in one group, theoretically 25% of the accidents would also occur in that group. The Chi-square test then compares the distribution of the differences between the groups. A large Chi—square value indicates significant differences occurred from what was hypothesized. If the Chi-square value is statistically large, the null 52 hypothesis must be rejected. Otherwise, no action can be taken on the hypothesis. Table 4.12 presents a Chi-square value of 6.58 for the comparison of farm family and hired labor accident rates. The differences between the groups are significant at the 5% level. The second Chi-square statistic shown in Table 4.13 is 19.44. This value is significant beyond the 1% level. Since both Chi-square values were significant, the null hypothesis that no significant differences exist in farm family and hired labor accident rates must be rejected. Hired labor in the sample has an accident rate higher than the farm family. TABLE 4.12.--Number and frequency of accidents classified ‘by farm family and hired labor. Theoretical Actual Accidents per Type of Labor Farm-work Farm-work Million Man Accidents Accidents Hours Exposure Farm Family 122 111 18.7 Hired Labor 20 31 31.2 TOTAL 142 142 Chi-square = 6.58 df = l .05 > p > .01 53 TABLE 4.13.--Number and frequency of accidents classified by farm family labor and hired labor.with and without workmen‘s compensation insurance. W Theoretical Actual Accidents per Type of Labor Farm-work Farm-work Million Man Accidents Accidents Hours Exposure Farm family 122 111 18.7 Hired labor with workmen's compensation 17 20 24.1 Hired labor without work- men's compen- sation 3 11 67.0 TOTAL 142 142 Chi—square = 19.44 df = 2 p < .01 4.4.2 Time Spent Working on Farm The null hypothesis being tested in this section was that no significant differences existed in the farm-work accident rate on farms where the head of the household spends more than 50% of his time farming and where he spends less than 50% farming. The "traditional" theoretical measure of farm accident rates has been the percentage of farms in each group times the total number of accidents. This is then compared with the actual rates to see if any differences exist. As will be shown in sections 4.4.3 and 4.4.4 false conclusions may be predicted about actual 54 differences in accident rates for various characteristics of the farm. By statistical manipulation, a variety of conclusions can be drawn. This measure will be included for the total farm-work accidents, not because this method is advocated, but to illustrate that this measure does lead to false conclusions. Table 4.14 shows the number of farms and accidents in the two categories of more and less than 50% of time spent working on the farm. The Chi-square value of 24.75 yields highly significant differences in the two groups. The null hypothesis that no significant differences exist would have to be rejected. However, a closer look at this figure is warranted. TABLE 4.14.--Number and per cent of farms and total farm- work accidents classified by time spent working on farm. Time Operator Farm-work Spegfi gigging No. Farms Per cent Accidents Per cent More than 50% 1,287 60.5 115 81.0 Less than 50% 842 39.5 27 19.0 TOTAL 2,129 100.0 142 100.0 24.75 df = 1 p < .01 Chi-square 55 The above statistic does not account in any way for the relative amount of exposure to farm-work accidents. The full time farmers in this study averaged more than three times the number of hours exposure to farm-work accidents as the part time farmers did. Therefore, when the number of farms is used as a measure, significant dif- ferences in accident frequencies will be found. In contrast, Table 4.15 indicates the overall farm- work accident rate by million man hours exposure. The Chi-square value of .10 shows no statistical difference in the actual and the expected accident frequency for full and part time farmers. Similarly Tables 4.16 and 4.17 yield Chi—square values of 1.78 and 2.84 for farm family and hired labor respectively. The accident rate for hired labor working on part time farms is misleading. There is a zero accident rate because no accidents occurred. However, one accident would have given an accident rate of 12.6 accidents per million man hours and three accidents would have given a rate almost identical to the full time farmers. The number of accidents for this group is too small to draw statistical conclusions. The evidence for the total and the family farm—work accident rate would lead to the conclusion that no significant differences exist between accident rates to full time and part time farmers in the sample. 56 TABLE 4.15.--Number and frequency of total farm-work accidents classified by time spent working on farm. Time Operator Theoretical Actual Accidents per Spent Working Farm-work Farm-work Million Man on Farm Accidents Accidents Hours Exposure More than 50% 116 115 20.3 Less than 50% 26 27 21.6 TOTAL 142 142 Chi-square = .10 df = l .90 > p > .75 TABLE 4.16.--Number and frequency of family farm-work accidents classified by time spent working on farm. Actual Accidents per Spent Working Farm-work Farm-work Million Man on Farm Accidents Accidents Hours Exposure More than 50% 89 84 17.6 Less than 50% 22 27 23.1 TOTAL 111 111 Chi-square = 1.78 df = 1 .25 > p > .10 TABLE 4.17.--Number and frequency of hired labor farm-work accidents classified by time spent working on farm. Time Operator Theoretical Actual Accidents per Spent Working Farm-work Farm-work Million Man on Farm Accidents Accidents Hours Exposure More than 50% 28 31 33.9 Less than 50% 3 0 0 TOTAL 31 31 Chi-square = 2.84, df II [.1 .10 > p > .05 57 4.4.3 Size of Farm The hypothesis was formulated that no significant difference in accident rates existed between different size of farming operations. Using the number of farms in each group to compute the accident rate yielded a Chi- square value of 33.0 as given in Table 4.18. This is»a highly significant value, but does not account for the differences in amount of exposure to farm-work accidents. TABLE 4.18.--Number and per cent of farms and total farm- work accidents classified by size of farm. Size of Farm No. farms Per Farm-work Per (acres) cent Accidents cent Less than 50 317 14.9 5 3.5 50 — 99 526 24.7 21 14.8 100 - 199 647 30.4 55 38.7 200 — 499 562 26.4 48 33.8 500 - Over 78 3.6 13 9.2 TOTAL 2,130 100.0 142 100.0 Chi-square = 33.0 df = 4 p < .01 Tables 4.19, 4.20 and 4.21 yielded Chi-square values of 6.42, 4.18, and 1.79 for total, farm family, and hired labor accidents respectively. None of these values was large enough to show significant differences in the actual and expected frequencies between various size of farming operations. It would seem logical that larger farms would 58 TABLE 4.19.--Number and frequency of total farm-work accidents classified by size of farm. ‘ — Theoretical 9 Actual Accidents per SifizcggsFarm Farm—work Farm-work Million Man Accidents Accidents Hours Exposure Less than 50 10 5 10.5 50 - 99 24 21 17.7 100 - 199 44 55 25.4 200 - 499 53 48 18.4 500 - Over 11 13 26.0 TOTAL 142 142 Chi-square = 6.42 df = 4 .25 > p > .10 TABLE 4.20.--Number and frequency of family farm—work accidents classified by size of farm. M #r . 1 m , Theoretical Actual Accidents per SizzcggsFarm Farm-work Farm-work Million Man Accidents Accidents Hours Exposure Less than 50 8 5 11.4 50 - 99 2O 17 15.9 100 - 199 36 44 ' 23.0 200 - 499 40 37 17.1 500 - Over 7 8 20.5 TOTAL 111 111 Chi-square df = 4 .75 > p > .50 59 TABLE 4.2l.——Number and frequency of hired labor farm-work accidents classified by size of farm. =— ‘1 Theoretical Actual Accidents per SizzcggsFarm . Farm—work Farm-work Million Man Accidents Accidents Hours Exposure Less than 100 5 4 26.7 100 - 199 8 11 43.8 200 - 499 13 11 25.5 500 - Over 5 5 31.8 TOTAL‘ 31 31 Chi-square = 1.79 df = 3 .75 > p > .50 have a lower rate per unit of exposure than small farms. People showed a general tendency toward higher accident rates on the larger farms. Exposure data does not show the nature of exposure, perhaps this type of exposure information could explain this tendency. The hypothesis of no difference in accident rate by size of farm must be held tenable. The Chi-square value for farm-work accidents given in Table 4.19 approaches the 10% level of significance. A larger sample of accidents might show differences between the size of farms. 4.4.4 Type of Farm > A contention of many educators, insurance companies and others interested in accident frequencies is there are varying rates among the types of farming. The null 60 hypothesis that there is no significant difference in farm-work accident rate between various types of farming was tested. Table 4.22 shows the number of farms of each type in the state and the corresponding accidentsfku'each type. There is considerable discrepancy in the percentage of farms in cash crop and dairy farms and the corresponding number of accidents. This gives a Chiésquare value of 27.94 which is beyond the 1% level of significance. Once again when exposure is considered, the differ- ences become less evident. Table 4.23 shows that beef has the highest rate of 28.3 accidents per million man hours, and general livestock the lowest at 17.2. The differences in the accident rate among the types of farming are not statistically significant; the Chi-square has a value of 3.31.' Similarly, the Chi-square value of 7.61 for farm family accidents in Table 4.24 shows no statistical significance. The hypothesis of no significant difference in the ‘accident rate between various types of farming is held 'tenable. 'For'this sample there is only about one chance 'in ten that an error would be made in accepting this hypothesis. With caution it could be said that there is ‘likely no significant differences in the statewide acci- dent rate. The sample is not large enough to predict this with assurance. 61 TABLE 4.22.--Number and per cent of farms and total farm- work accidents classified by type of farm. ==-==_ .. 5:3. 1:21.48: 52:. Cash crop 606 28.5 21 14.8 Dairy 435 20.5 47 33.1 General livestock 435 20.5 24 16.9 Beef 234 ' 11.0 18 12.7 Fruit 127 6.0 15 10.6 General farming 114 5.4 9 6.3 All others 173 8.1 8 5.6 TOTAL 2,124 100.0 142 100.0 Chi-square = 27.94 df = 6 p < .01 TABLE 4.23.-—Number and frequency of total farm-work accidents classified by type of farm. Theoretical Actual Accidents per Type of Farm Farm-work Farm-work Million Man ' Accidents Accidents Hours Exposure Cash crop 24 21 17.9 Dairy 44 47 22.1 General livestock 29 24 17.2 Beef 13 18 28.3 Fruit 16 15 18.9 General farming 8 9 21.8 All others 8 8 20.3 TOTAL 142 142 Chi-square = 3.31 df = 6 .90 > p > .75 62 TABLE 4.24.-—Number and frequency of family farm-work accidents classified by type of farm. = - ‘— Theoretical Actual Accidents per Type of Farm Farm-work Farm-work Million Man Accidents Accidents Hours Exposure Cash crOp 20 21 19.8 Dairy 36 40 20.4 General livestock 19 18 17.3 Beef 11 17 29.2 Fruit 7 3 8.2 General farming 7 4 11.2 All others 11 8 11.5 TOTAL 111 111 Chi-square = 7.61 . df = 6 .50 > p >..25 4.4.5 Age and Sex The null hypothesis that no significant differences existed in the farm-work accident rate between the male and female groups was tested in Table 4.25. A Chi—square value of 5.01 was obtained. This is significant at the 5% level. The above hypothesis was rejected. The accident rate per million man hours for the male of 22.5 was almost double the female rate of 13.0. If a larger number of accidents had occurred, the Chi-square value would probably be larger yielding even more significant differences. The hypothesis that no significant difference existed in the farm-work accident rate among age and sex 63 TABLE 4.25.—-Number and frequency of total farm-work accidents classified by sex. _ Theoretical Actual Accidents per Sex Farm-work Farm-work Million Man Accidents Accidents Hours Exposure Male 112 123 22.5 Female 30 19 13.0 TOTAL 142 142 Chi—square = 5.01 df = l .05 > p > .01 groups was tested. The total farm family accident rates can be divided into three basic groups. The males aged five through fourteen had by far the highest rate with 52.4 accidents per million man-hours exposure. Corres- ponding rate for males aged fifteen and over was about 18.0 and-for females about 12.5 respectively. Among males, the age group of twenty-five through forty-four has the lowest accident rate per unit of exposure, with higher rates for both young and old males. The Chi-square value for total farm-work accidents of 19.41 and for the family of 18.99.in Tables 4.26 and 4.27 respectively are both significant beyond the 1% level. The hypothesis that no significant differences among age and sex groups exists must be rejected. 64 TABLE 4.26.--Number and frequency of total farm-work accidents classified by age and sex. A r Theoretical Actual Accidents per Age Farm-work Farm-work Million Man Accidents Accidents Hours Exposure Male 15 - 24 18 23 26.6 25 - 44 35 30 17.7 45 — 64- 43 40 18.9 65 - Over 10 16 33.8 Female- 5 - 24- 6 4 13.6 25 - 44 11 8 14.3 45 - Over 12 7 11.4 TOTAL 142 142 Chi-square = 19.41 df = 7 p < .01 TABLE 4.27.--Number and frequency of family farm-work accidents classified by age and sex. Theoretical Actual Accidents per Age Farm-work Farm—work Million Man Accidents Accidents Hours Exposure Male 5 - l4 5 14 52.4 15 - 24 12 12 18.6 25 - 44 26 24 17.4 45 - 64 36 37 19.2 65 — Over 8 8 18.2 Female 5 - 24 4 3 12.6 25 - 44- 9 6 13.0 65 - Over 11 7 12.1 TOTAL 111 111 Chi—square = 18.99 df = 7 p < .01 65 4.5 Characteristics of the Total Farm Accident Situation Farm—work accidents accounted for only 51.7% of all accidents to farm people. Since exposure data was 'gathered only for farm-work, it does not seem logical to attach any statistical significance to the occurrence of the rest of the accidents. However, the other accidents 'should be of interest to anyone concerned with farm people, for these accidents cost money, disrupt family activities, and cause lost time from work. The following sections will present the overall accident picture in tabular form. 4.5.1 ‘Time Spent Working on Farm The head of the household spent more than one—half of his time working on the farm on 60% of the Michigan farms. Table 4.28 shows that 65.5% of all accidents occurred on the farms loosely classified as full time and 34.5% on part time farms. There were more leisure "accidents occurring on the part time'farms even though they constituted only 40% of the total farms. This would sug- ‘gest that more time is spent on activities other than farm-work. 4.5.2 Size of Farm The incidence of total accidents followed a definite pattern, with home-work and other-work accidents approxi— mating the distribution of farms in the sample as seen in Table 4.29. ‘Leisure accidents occurred more often than 66 TABLE 4.28.--Number of accidents by time Spent working on farm and activity at time of accident. M f a: Time Spent Number of Accidents Per cent Working on of Total Farm Farm Home Other Leisure Total work work work More than 50% 115 10 14 43 182 65.5 Less than 50% 27 5 l3 51 96 34.5 Subtotal 142 15 27 94 278 100.0 Unknown 2 TOTAL 280 TABLE 4.29--Number of accidents by size of farm and activity at time of accident. Per cent Number of Accidents Size of Farm (acres) Farm Home Other Leisure Total Of Total work work work Less than 50 5 3 5 18 31 11.1 50 - 99 21 4 16 42 15.1 100 - 199 55 7 9 32 103 37.1 200 — 499 48 3 8 26 85 30.6 500 - 999 10 1 1 2 14 5.0 1000 - Over 3 O O O 3 1.1 Subtotal 142 15 27 94 278 100.0 Unknown 2 TOTAL 280 67 farm-work accidents on farms less than 50 acres in size. Farms 100—500 acres in size accounted for about 56% of all farms but had almost 68% of the total accidents. This group had 68.7% of the total exposure to farm—work. 4.5.3 Type of'Farm An interesting pattern is evident in Table 4.30. On farms such as dairy and fruit, where a large percentage of the farm-work exposure occurs, accidents are in direct proportion to the hours exposure. The percentage of leisure accidents in each group more nearly reflects the 'percentage of farms in the study. Without statistical proof, it would appear that farm-work accidents are a function of exposure to accidents as Shown in previous sections and leisure accidents more nearly a reflection of the number of farms and hence the number of people exposed to accidents. 4.5.4 Age and.Sex Table 4.31 shows that 74% of the total accidents 'occurred to males who comprise 52% of the pOpulation. Males are involved in more accidentS'in all activities other than home—work. The higher rate cannot be explained solely by a larger exposure to accidents. Leisure and farm-work accidents show a disproportionate number of accidents to males. 'This may indicate more exposure to hazards or more carelessness by the male population. 68 TABLE 4.30.--Number of accidents by type of farm and activity at time of accident. Number of Accidents Type of Per cent Farm Farm Home Other Leisure Total Of Total work work work Cash crop 21 3 5 28 57 20.5 Dairy 47 3 5 25 80 28.8 General livestock 20 4 4 7 35 12.6 Beef 18 2 2 10 32 11.5 Fruit 15 2 2 5 24 8.6 General farming 9 0 ' 2 4 15 5.4 HOgs 1 0 1 4 6 2.2 Truck farming l 0 O O ' l .4 Poultry 3 0 l 3 7 2.5 Soil bank 0 '0 1 2 3 1.1 Other 7 l 4 6 18 6.4 Subtotal 142 15 27 94 278 100.0 Unknown 2 TOTAL 280 Females spend more of their time doing home-work and show a larger number of accidents in this activity. Table 4.32 shows a large number of leisure accidents occurring to children under age 15. Over one-half of all leisure accidents occurred to this age group. This simple 69 TABLE 4.3l.--Number of accidents by sex and activity at time of accident. Number of Accidents Sex Per cent Farm Home Other Leisure Total of total work work work Male 123 2 20 61 206 74.1 Female 19 13 7 33 72 25.9 Subtotal 142 15 27 94 278 100.0 Unknown ' 2 TOTAL 280 TABLE 4.32.--Number of accidents by age and sex and activity at time of accident. Number of Accidents Per cent Age Farm Home Other Leisure Total Of total work. work work Male Under 5 0 0 0 4 4 1.4 5-14 14 0 2 25 41 14.8 15-24 23 0 1 14 38 13.7 25-44 30 2 6 7 45 16.2 45-64 40 0 10 11 61 21.9 65-Over 16 0 1 0 17 6.1 Female Under 5 O 0 0 4 4 1.4 5—14 1 0 1 15 17 6.1 15-24 3 0 2 6 11 4.0 25-44 8 4 1 4 17 6.1 45-64 6 6 3 3 18 6.5 65-Over l 3 0 1 5 1.8 Subtotal 142 15 27 94 278 100.0 Unknown 2 TOTAL 280 7O fact reflects the larger proportion of time spent in such leisure activities as school play, sports and the like. With the exception of the under 5 age groups, males were involved in a larger percentage of accidents than females. Much of this difference comes from farm—work accidents where the male is exposed to more accidents than the female. 4.5.5 Month The lowest number of accidents was reported in April. Only 4.0% of the accidents occurred during this month. The increase in work load is evident in May, June, July, and August with 7.2, 9.7, 13.4, and 13.4% of the accidents occurring in these months. The peak number of farm-work accidents was in August when 23 mishaps occurred. Almost one-third of the farm-work accidents occurred in July and August. The total accident fre- quency reflects the general increase in all activities during the summer months. Fall work loads contributed to September and October accidents when 10.5 and 8.6% of the accidents occurred. A fairly large number of farm-work accidents occurred throughout the winter months. 'This is likely the result of continued activity on dairy, beef, and general livestock farms. The winter months of November, December, January, February, and March showed 71 irregularly lower accident numbers; 7.9, 7.6, 4.7, 6.9, and 6.1% of the accidents occurred respectively during these months. TABLE 4.33.--Number of accidents by month and activity at time of accident. Number of Accidents Month Per cent Farm Home‘ Other Leisure Total of total work work work January ' 5 ‘ 0 0 8 13 4.7 February * 9 ' 4 l 5 19 6.9 March 10 l 1 5 17 6.1 April 4 l 6 11 4.0 May 9 0 4 7 20 7.2 June 15 l 3 8 27 9.7 July 20 0 3 14 37 13.4 August 23 1 5 8 37 13.4 September 16 2 2 9 29 10.5 October 13 3 l 7 24 8.6 November 8 l 3 10 22 7.9 December 10 l 4 6 21 7.6 Subtotal 142 15 27 93 277 100.0 Unknown 3 TOTAL 280 72 4.5.6 Day of Week A Chi-square test was used to test the hypothesis that no significant differences existed in the accident rate among days of the week. The Chi-square value of 1.79 given in Table 4.34 makes the hypothesis highly tenable. The general increase in leisure activities accounted for the decrease in farm-work and other activi- ties expected on weekends. A higher proportion of farm— work accidents occurred on Monday, Tuesday, and Wednesday than during the rest of the week. This may simply reflect a greater proportion of the work exposure to accidents. TABLE 4. 34. —-Number of accidents by day of week and activity at time of accident. Number of Accidents. Day of Per cent Week Farm ' Home Other Leisure Total of total work work work Sunday 15 3 2 18 38 14.5 Monday 19 3 4 15 41 15.6 Tuesday 24 3 ll 40 15.3 Wednesday 21 3 3 12 39 14.9 Thursday 15" 2 7 ll 35 13.4 Friday 22 0 2 12 36 13.7 Saturday 15 l 5 12 33 12.6 Subtotal 131 14 26 91 262 100.0 Unknown 18 TOTAL {."280 ll 0\ Chi—square = 1.79- df .95 > p > .90 73 4.5.7 Hour of Day The increase in activity during daylight hours accounts for the number of accidents occurring during the various time periods of the day. Table 4.35 shows more than 87% of all accidents occurred between the hours of 8:00 a.m. and 8:00 p.m. The peak accident periods were 10:00 to noon and 2:00 to 4:00 p.m. with 21.2 and 20.4% respectively. Although complete exposure data was not collected, this likely reflects the peak periods of all activity. Most of the 9.2% of the accidents during 8:00 p.m. and midnight were from leisure activities. TABLE 4.35.--Number of accidents by hour of day and ' ‘activity at time of accident. Number of Accidents : ' Per cent Hogr Of Farm Home Other Leisure Total of total ay ”'work ,work work Midnight— 1:59 0 0' 0 2 2 .8 2:00 - 3:59 2 0 0 0 2 .8 4:00 - 5:59 0 0 0 0 O 0.0 6:00 - 7:59 3 o 1 1 5 2.0 8:00 - 9:59 5 2 2 7 16 6.4 10:00 —1l:59 30 4 6 13 53 21.2 Noon - 1:59 10 l 4 7 22 8.8 2:00 - 3:59 35 3 3 10 51 20.4 4:00 - 5:59 23 0 l 9 33 12.2 6:00 - 7:59 13 l 6 23 43 17.2 8:00 - 9:59 3 0 2 l2 17 6.8 10:00 -11:59 1 2 l 2 6 2.4 Subtotal 125 13 26 86 250 100.0 Unknown 30 TOTAL 280 74 4.5.8 Seriousness of Injury Almost two-thirds of the accidents resulted in only slight injury as shown in Table 4.36. Farm-work showed a higher proportion of severe and permanent injuries than other activities. Thirty-six per cent of farm—work injuries were severe or permanent while only 30% of home— work, other-work and leisure injuries were as serious. TABLE 4.36.-—Number of accidents by seriousness of injury ‘ 'and activity at time of accident. Number of Accidents, Seriousness' Per cent of Injury Farm Home Other Leisure_‘ TOtal of total work work work Slight 91 7 20 64 182 65.5 Severe 43 7 5 27 82 29.5 Permanent 8 l 1 2 12 4.3 Fatal 0 0 l l 2 .7 Subtotal 142 15 27 94 278 100.0 Unknown 2 TOTAL 280 4.5.9 Type of Injury Cuts and/or bruises accounted for more than 40% of all accidents reported in Table 4.37. Fractures and sprains had 18.3 and 13.5% of total accidents respectively. These three types of injuries accounted for 72;7% of all injuries. 75 Almost one-half of the home-work accidents resulted in fractures. Several of these accidents involved falls down a flight of stairs. No other type of injury was disproportionately high for the various kinds of activity at the time of the accident. TABLE 4.37.-—Number of accidents by type of injury and activity at time of accident. Number of Accidents Type of Per cent Injury Farm Home Other Leisure Total Of Total .work work work Cut and/or bruise 62 u 8 38 112 40.9 Fracture 23 7 1 19 50 18.3 Sprain 21 2 3 11 37 13.5 Crushed 8 0 2 l 11 4.0 Multiple 3 2 1 5 11 4.0 Burn 3 O 2 3 8 2.9 Severed 5 0 l 1 7 2.5 Pulled muscle 5 0 l l 7 2.5 Concussion 1 0 0 3 4 1.5 Bite 0 O 1 3 4 1.5 Other 11 O 4 8 23 8.4 Subtotal 142 15 24 93 274 100.0 Unknown 6 TOTAL 280 76 4.5.10 Part of Body Injured Table 4.38 shows a fairly even distribution of part of the body injured with the leg involved in the largest number of accidents. The arm, hand and fingers were involved in almost one-third of all accidents, with a large number of these occurring during farm—work. The head was injured in over one—fourth of all leisure activity accidents. Many of these injuries were lacerations and concussions sustained during Sporting activities. TABLE 4.38.——Number of accidents by part of body injured and activity at time of accident. Number of Accidents Part of "' ' Per cent lggired Farm Home' *Other Leisure ‘Total Of Total work:' work‘ work Leg 23934 1- 5 11 40 14.6 Finger 25 jfi 3 ‘ 2 8 38 13.8 Head 5'ff 2 1 24 32 11.6 Arm 131“” l 2 12 28 10.2 Foot 14 1 3 5 6 28 10.2 Trunk 18"” l l 3 23 8.4 Hand 14.? 0 2 3 19 6.9 Shoulder 5 ”*5 2 1 3 11 4.0 Eye 4 f,’ 0 2 4 10 3.6 Multiple 6 fji 0 2 2 10 3.6 Other 13 f 2 3 18 36 13.1 Subtotal 140 15 26 94 275 100.0 Unknown 5 TOTAL ‘ 280 77 4.5.11 Agency Involved Table 4.39 gives a detailed breakdown of the agency most closely associated with the accident. The most frequently involved agencies were the tractor and auto each with 6.5% of the total number of accidents. Other frequently involved agencies were the ladder, wagon, floor, cow, and tree with 6.1, 4.7, 4.0, 3.6, and 3.6% of the accidents respectively. Farm machinery were involved in 22.7% of the accidents, tools, 8.5%; animals, 8.6%;‘vehicles, 12.5%; household items, 6.9%; recreational facilities, 4.2%; and general items in 40.6% of the accidents. Most farm machinery accidents occurred while doing farm—work accounting for almost 40% of all farméwork accidents. Most vehicle accidents occurred during periods of leisure. 4.5.12 How Person Got Hurt Table 4.40 indicates that 35.2% of all accidents were caused by falls. Another 28.1% were caused by being struck by or against an object. About 16.0% were by being caught in or between and 7.0% by a collision. Collisions were peculiar to leisure activities, most of these being auto accidents. Falls represented two-thirds 'of the accidents while doing home work. ‘About one-third of farm-work accidents were from a fall and another third from being struck by or against an object. 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