Changes in trauma admission rates and mechanisms during recession and recovery: evidence from the Detroit metropolitan area
| Autor: | Elango Edhayan, Kimberly Coughlin, Mary Fessler, R. David Hayward |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
Michigan Health (social science) media_common.quotation_subject 0507 social and economic geography Recession 03 medical and health sciences 0302 clinical medicine Patient Admission Trauma Centers Residence Characteristics Risk Factors Health care medicine Humans 030212 general & internal medicine Cities Socioeconomic status media_common business.industry Latent growth modeling Public health 05 social sciences Public Health Environmental and Occupational Health Metropolitan area Health equity Geography Economic Recession Unemployment Wounds and Injuries sense organs business 050703 geography Demography |
| Zdroj: | International journal of public health. 63(7) |
| ISSN: | 1661-8564 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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