Occupational injuries in a poor inner-city population.
This study aims to characterize occupational injuries in a defined poor inner-city population in terms of demographic features, types, and circumstances of injuries, and medical and financial consequences. It is a case series drawn from a larger population-based injury registry in emergency departments that serve 17 poor census tracts in Philadelphia. Of 335 patients from the study area who had been treated at the emergency departments under study for occupational injuries, 107 could be contacted by telephone 2 to 3 years after their injuries. Interviews sought information on the patients, their employment, their injuries, and the consequences. Respondents were almost all African-American, approximately 50% male, and had a median age of 32. Approximately one third were employed in the health care industry, one fourth in the service sector (including conventional service firms, restaurants, and hotels), and the remainder in construction, retail and wholesale trade, education, transportation, and manufacturing. Major causes of injuries included overexertion, contact with sharp objects, and falls. Major types on injuries included sprain/strains and lacerations. Approximately half the respondents had missed more than 3 days of work, with 15% missing more than 1 month. Almost 40% of respondents reported persistent health problems after their injuries. Only about one quarter had received workers' compensation. We conclude that poor and minority workers are at risk of a wide range of occupational injuries, which may result in considerable lost work time and have serious medical and economic consequences. More, attention to the workplace risks of these relatively marginalized workers and more vigorous preventive interventions are needed.
Frumkin
H
H
Department of Environmental and Occupational Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Williamson
M
M
Magid
D
D
Holmes
J H
JH
Grisso
J A
JA
D000062:Accidents, Occupational / Q000191:economics / Q000517:prevention & control* / Q000706:statistics & numerical data; D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data; D000704:Analysis of Variance; D017281:Cost of Illness; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data; D004651:Employment; D005260:Female; D006801:Humans; D007221:Industry; D008297:Male; D008499:Medical Records; D008875:Middle Aged; D009784:Occupational Diseases / Q000191:economics / Q000453:epidemiology*; D009790:Occupations; D015143:Philadelphia / Q000453:epidemiology; D011203:Poverty; D018582:Sick Leave; D014504:Urban Health; D014942:Workers' Compensation