Abstract
This study measured geographic variation in depression hospitalizations and identified community-level risk factors. Depression hospitalizations were identified from the Statewide Inpatient Database. The dependent variable was specified as the indirectly standardized hospitalization rate. County-level data for 14 states were collected from federal agencies. The Bayesian spatial regression model included socio-demographic, economic, and health system characteristics as independent variables. There were 8.5 depression hospitalizations per 1,000 residents. 8.8% of counties had hospitalization rates 33% greater than the standardized rate. Significant risk factors included unemployment, poverty, physician supply, and hospital bed supply. Significant protective factors included rurality, economic dependence, and housing stress.
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Notes
Admissions with primary or secondary diagnoses of ICDN-9 296.2x, 296.3x, 298.0, 300.4 309.1, 311 were extracted from the SID database. These are the diagnostic codes used for the NCQA HEDIS depression performance measure.
The 10 age groups were 20–24, 25–29, 30–34, 35–44, 45–54, 55–59, 60–64, 65–74, 75–84, and 85+.
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This research was supported by the Health Resources and Services Administration WICHE Rural Mental Health Center (1U1CRH03713-01-00 to Dr. Rost).
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Fortney, J., Rushton, G., Wood, S. et al. Community-Level Risk Factors for Depression Hospitalizations. Adm Policy Ment Health 34, 343–352 (2007). https://doi.org/10.1007/s10488-007-0117-z
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DOI: https://doi.org/10.1007/s10488-007-0117-z