Objective: To identify and quantify the sources of the urban-rural disparity in facility-acquired contracture rates in nursing homes.
Data Sources: Survey inspection data of U.S. nursing homes from 1999 to 2008 and standardized national rural definition file from the Rural-Urban Commuting Area Codes.
Study Design: We estimated regressions of facility-level contracture rate as a function of urban-rural categories (urban, micropolitan, small rural town, and isolated small rural town) and other related facility characteristics to identify size of the urban-rural disparity. We used Blinder-Oaxaca decomposition techniques to determine the extent to which the disparity is attributable to the differences in facility and aggregate resident characteristics.
Principal Findings: Rural nursing homes have higher contracture rates than urban nursing homes. About half of the urban-rural disparity is explained by differences in observable characteristics among urban and rural nursing homes. Differences in staffing levels explain less than 5 percent of the disparity, case-mix explains 6-8 percent, and structure and operational characteristics account for 10-22 percent of the disparity.
Conclusion: While a lower level and quality of staffing are a concern for rural nursing homes, facility structure and funding sources explain a larger proportion of the urban-rural disparity in the quality of care.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3589954 | PMC |
http://dx.doi.org/10.1111/j.1475-6773.2012.01431.x | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!