1. Case mix adjustment in nursing systems research: the case of resident outcomes in nursing homes.
- Author
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Anderson RA, Su H, Hsieh P, Allred CA, Owensby S, and Joiner-Rogers G
- Abstract
OBJECTIVE: The purpose of this study was to examine selected case mix indicators for their usefulness in separating the variation in outcomes due to differences in resident characteristics versus variation due to differences in nursing care. We explored two methods for combining resident assessment data into a case mix index (CMI). DESIGN: Secondary analysis. SETTING: Nursing homes. POPULATION: The sample for this study was part of a larger, ongoing study about the outcomes of nursing management practice in nursing homes. The criterion for inclusion in the study sample was nursing homes that had one or more RN FTE(s). Of the 380 nursing homes contacted, 195 participated, with 164 completing data. INTERVENTIONS: Two types of case mix indicators were examined in this study. A facility-level, composite index of case mix was compared to a prevalence-based, multi-indicator of case mix, which measured the prevalence of selected resident characteristics. Resident outcomes were defined as the results of nursing care experienced by the residents within each home and were derived from the CARE Form. Ten indicators were selected because they reflected quality of the nursing care. Hierarchical multiple regression analysis was used to compare the ability of the facility-level, composite CMI to the prevalence-based, multi-indicator CMI, comprised of 22 separate risk indicators, in explaining the variance contained within the four resident outcomes. MAIN OUTCOME MEASURE(S): The correlations demonstrated that the facility level, composite CMI was not related to behavioral problems or fractures but was significantly correlated to complications of immobility and restraint use. In a similar fashion, the relationships between the 22 prevalence-based risk factors and resident outcomes were strongest between the complications of immobility and restraint use. RESULTS/CONCLUSIONS: The prevalence-based, multi-indicator CMI, composed of 22 separate resident risk factors, consistently explained more variance in outcomes than the facility level, composite CMI. Our findings suggest that the composite CMI does not explain substantial variance in resident outcomes, at least as defined in this study. The inability to discern whether a risk factor was preexisting to an adverse outcome or the results of an adverse outcome increases the potential for over estimating the influence of risk factors on outcomes. Recommendations for further include replicating this study in samples from states that use a different resident assessment form in case mix reimbursement. [ABSTRACT FROM AUTHOR]
- Published
- 1999
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