Incidence Rates and Trend of Serious Farm-Related Injury in Minnesota, 2000–2011

Adrienne M.K. Landsteiner, Patricia M. McGovern, Bruce H. Alexander, Paula G. Lindgren, Allan N. Williams

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18 Scopus citations


Only about 2% of Minnesota’s workers were employed in agriculture for the years 2005–2012, this small portion of the workforce accounted for 31% of the 563 work-related deaths that occurred in Minnesota during that same time period. Agricultural fatalities in Minnesota and elsewhere are well documented; however, nonfatal injuries are not. To explore the burden of injury, Minnesota hospital discharge data were used to examine rates and trends of farm injury for the years 2000–2011. Cases were identified through the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), injury codes and external cause of injury codes (E codes). Probable cases were defined as E code E849.1 (occurred on a farm) or E919.0 (involving agricultural machinery). Possible cases were based on five less specific E codes primarily involving animals or pesticides. Multiple data sources were used to estimate the agricultural population. An annual average of over 500 cases was identified as probable, whereas 2,000 cases were identified as possible. Trend analysis of all identified cases indicated a small but significant average annual increase of 1.5% for the time period 2000–2011. Probable cases were predominantly male (81.5%), whereas possible cases were predominantly female (63.9%). The average age of an injury case was 38.5 years, with the majority of injuries occurring in late summer and fall months. Despite the undercount of less serious injuries, hospital discharge data provide a meaningful data source for the identification and surveillance of nonfatal agricultural injuries. These methods could be utilized by other states for ongoing surveillance for nonfatal agricultural injuries.

Original languageEnglish (US)
Pages (from-to)419-426
Number of pages8
JournalJournal of agromedicine
Issue number4
StatePublished - Oct 2 2015

Bibliographical note

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© Taylor & Francis Group, LLC.


  • Agricultural injury
  • farm
  • hospital discharge data
  • surveillance


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