Agricultural injury surveillance using a state injury registry

O’Connor, Thomas Austin; Gordon, Jill; Barnett, Margot

doi:10.1016/0022-4375(93)90026-j

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…The authors regard this as an unresolved problem at this time. It still remains necessary to discover the number of injuries per local area and the size of the rural population at risk 6,28 . It would then be possible to know that some commodities were prone to higher injury rates than others as commodity distribution varies from area to area 29 .…”

Section: Discussionmentioning

confidence: 99%

Farm‐related Injury Presenting to an Australian Base Hospital

Franklin

Davies

2003

Australian J Rural Health

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Section: Discussionmentioning

confidence: 99%

Farm‐related Injury Presenting to an Australian Base Hospital

Franklin

Davies

2003

Australian J Rural Health

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“…7 Surveillance of acute care hospitals is accomplished by standard, computerized reports provided voluntarily by hospitals on floppy disks to the Oregon Health Division. Information on fatal injuries is collected from the hospitals for each such patient who died in the hospital, and from death certificates supplemented by information in the state medical examiner's records.…”

Section: Methodsmentioning

confidence: 99%

Racial misclassification of American Indians: its effect on injury rates in Oregon, 1989 through 1990.

Sugarman¹,

Soderberg²,

Gordon³

et al. 1993

Am J Public Health

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OBJECTIVES. We assessed the extent to which injury rates among American Indians in Oregon are underestimated owing to misclassification of race in a surveillance system. METHODS. The Oregon Injury Registry, a population-based surveillance system, was linked with the Indian Health Service patient registration file from Oregon, and injury rates for American Indians were calculated before and after correcting for racial misclassification. RESULTS. In 1989 and 1990, 301 persons in the Oregon registry were coded as American Indian. An additional 89 injured persons who were coded as a race other than American Indian in the registry were listed as American Indian in the Indian Health Service records. The age-adjusted annual injury rate for health service-registered American Indians was 6.9/1000, 68% higher than the rate calculated before data linkage. American Indian ancestry, female sex, and residence in metropolitan counties were associated with a higher likelihood of concordant racial classification in both data sets. CONCLUSION. Injury rates among American Indians in an Oregon surveillance system are substantially underestimated owing to racial misclassification. Linkage of disease registries and vital records with Indian Health Service records in other states may improve health-related data regarding American Indians.

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“…In many countries, workers compensation archives include all types of injuries in agriculture if related to workers covered by compulsory accident insurance, but exclude the many self-employed workers, unpaid family members, or retirees who frequently work on farms. To overcome this limitation, national surveillance systems have been organized in many countries, together with report systems, based on information obtained from farm surveys, collection of news clippings, hospital and clinic-based surveillance, medical reports, or death certificate data (O'Connor, Gordon, & Barnett, 1993;Gross, Peek-Asa, Ramirez, & Gerr, 2012;Rissanen & Taattola, 2003). A modern approach for accident information is from news clippings by searching in national and local newspapers (Ozegovic & Voaklander, 2011;Pessina & Facchinetti, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…182 Taking into consideration that, unfortunately, the requirement of the 183 seatbelt anchorage on the tractor is quite recent with respect to the 184 time period evaluated in the analysis, to show clear safety evidence it 185 was considered advisable to check if the driver was restrained by the 186 seatbelt. Since driver age is considered an important risk factor (Arana et al, 2010;Gross et al, 2012;O'Connor et al, 1993) tractor rollover fatalities were also divided between tractor drivers over 65 years old and those under 65 based on the driver age recorded by Surveillance System.…”

mentioning

confidence: 99%