American journal of industrial medicine · 2010
Utilizing hospital discharge data (HD) to compare fatal and non-fatal work-related injuries among Hispanic workers in New Jersey.
СтатьяПоддержка службы здравоохранения СШАНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
McGreevy K, Lefkowitz D, Valiante D, Lipsitz S
Аннотация
BACKGROUND: This study explores the utilization of Hospital Discharge (HD) data to obtain estimates of work-related non-fatal injuries rates in NJ to determine if Hispanics workers have an increased risk of specific work-related injuries. In addition, HD data are used to compare the rate ratios between fatal and non-fatal injuries in this population to demonstrate the effectiveness of using HD as a surveillance tool for monitoring injury trends and performing evaluations.
METHODS: Several types of fatal and non-fatal injuries were modeled using Poisson regression with the following predictor variables: gender, ethnicity, and year. The estimated number of workers by ethnicity employed in NJ each year was obtained from the U.S. Census Bureau, DataFerrett, Current Population Survey, November 2006, a data mining tool which accesses CPS data.
RESULTS: These analyses, utilizing estimates of working population at-risk, indicate that Hispanic workers have an increased risk of four particular work-related injuries compared with non-Hispanics, and Hispanics were injured at a younger age than non-Hispanics. In addition the rankings of the rate ratios from the comparison between non-fatal and fatal risk estimates were similar; indicating that occupational surveillance of non-fatal injuries is a viable component to be considered.
CONCLUSIONS: HD data are effective for monitoring trends over time across ethnic groups and injury types. Therefore, non-fatal injury surveillance should be considered for targeting specific worker populations for interventions to reduce exposure to workplace hazards, and can be a valuable surveillance tool in efforts to reduce occupational injuries.
METHODS: Several types of fatal and non-fatal injuries were modeled using Poisson regression with the following predictor variables: gender, ethnicity, and year. The estimated number of workers by ethnicity employed in NJ each year was obtained from the U.S. Census Bureau, DataFerrett, Current Population Survey, November 2006, a data mining tool which accesses CPS data.
RESULTS: These analyses, utilizing estimates of working population at-risk, indicate that Hispanic workers have an increased risk of four particular work-related injuries compared with non-Hispanics, and Hispanics were injured at a younger age than non-Hispanics. In addition the rankings of the rate ratios from the comparison between non-fatal and fatal risk estimates were similar; indicating that occupational surveillance of non-fatal injuries is a viable component to be considered.
CONCLUSIONS: HD data are effective for monitoring trends over time across ethnic groups and injury types. Therefore, non-fatal injury surveillance should be considered for targeting specific worker populations for interventions to reduce exposure to workplace hazards, and can be a valuable surveillance tool in efforts to reduce occupational injuries.