Changes in trauma admission rates and mechanisms during recession and recovery: evidence from the Detroit metropolitan area
Although individual socioeconomic status has been linked with risk of traumatic injury, there has been relatively little research into the question of how economic changes may impact trauma admission rates in neighborhoods with different socioeconomic backgrounds.
This study pairs ZIP code-level data on trauma admissions with county-level data on unemployment to assess differences in the type of changes experienced in more and less affluent neighborhoods of the Detroit metropolitan area between 2006 and 2014.
Conditional linear growth curve modeling results indicate that trauma admission rates decreased during the “great recession” of 2008–2010 in neighborhoods with the highest unemployment levels, but increased during the same period of time in neighborhoods with lower unemployment. Consequently, citywide disparities in trauma incidence decreased during the recession and widened again as the economy began to improve.
Trauma risks and demand for trauma care may shift geographically in relation to broader economic changes. Health care policy and planning should consider these dynamics when anticipating changing demands and needs for efforts at prevention.
KeywordsTraumatic injury Health disparities Unemployment Growth curve modeling
Compliance with ethical standards
Conflict of interest
None-all authors declare that they have no conflicts of interest.
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