Case mix adjustment in nursing systems research: The case of resident outcomes in nursing homes
| Autor: | Ruth A. Anderson, Pi-Ching Hsieh, Hui Fang Su, Glenda Joiner-Rogers, Charlene A. Allred, Sue Owensby |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
education.field_of_study
medicine.medical_specialty business.industry Public health Population chemical and pharmacologic phenomena bacterial infections and mycoses complex mixtures Nursing care Case mix index Assessment data Nursing Systems research parasitic diseases Epidemiology Medicine Nursing homes education business therapeutics General Nursing |
| Zdroj: | Research in Nursing & Health. 22:271-283 |
| ISSN: | 1098-240X 0160-6891 |
| DOI: | 10.1002/(sici)1098-240x(199908)22:4<271::aid-nur2>3.0.co;2-6 |
| Popis: | Case mix indicates, for a resident population, the degree of risk for developing favorable or unfavorable outcomes. In a study of 164 nursing homes, we explored two methods for combining resident assessment data into a case mix index (CMI). We compared a facility-level, composite CMI to a prevalence-based CMI comprised of 22 separate resident characteristics for their adequacy in explaining resident outcomes. The prevalence-based CMI consistently explained more variance in outcomes than the facility level, composite CMI. This study indicates a reasonable method for using administrative databases containing resident assessment data to adjust for the influence of case mix on nursing home resident outcomes. |
| Databáze: | OpenAIRE |
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