Adam Przylog1, Magdalena A Stroka2,3,4, Susanne Engel5, Roland Linder5. 1. Ruhr-Universität Bochum, Universitätsstr. 150, 44801, Bochum, Deutschland. 2. Ruhr-Universität Bochum, Universitätsstr. 150, 44801, Bochum, Deutschland. stroka@rwi-essen.de. 3. Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Essen, Deutschland. stroka@rwi-essen.de. 4. Wissenschaftliches Institut der TK für Nutzen und Effizienz im Gesundheitswesen, Hamburg, Deutschland. stroka@rwi-essen.de. 5. Wissenschaftliches Institut der TK für Nutzen und Effizienz im Gesundheitswesen, Hamburg, Deutschland.
Abstract
BACKGROUND: In 2009 a new system for the objective evaluation of nursing homes was introduced in Germany. The so-called nursing transparency agreement (Pflege-Transparenzvereinbarungen) was introduced to provide a reliable tool for an objective comparison of inpatient (PTVS) and outpatient (PTVA) care; however, the new regulations have been the subject of a broad discussion regarding reliability, efficiency and objectivity. AIMS: To overcome the lack of objective health outcomes, this study used administrative data from Germany's largest health insurance fund, the Techniker Krankenkasse, in order to analyze the association between the quality ratings and objective quality measures on an individual level. This is the first study that provides empirical evidence on this topic using administrative data. MATERIAL AND METHODS: The administrative dataset contained information on several individual characteristics as well as data on injuries, poisoning and other extrinsic effects on care-dependent individuals over the age of 64 years who were living in a nursing home in 2009. Based on these data an objective measure was constructed to test whether higher quality ratings of nursing homes led to a better quality of care of the respective patients using non-linear regression models. RESULTS: The results of the estimated models showed no significant evidence of such a relationship, neither considering the probability nor the number of injuries, poisoning and other extrinsic effects. Significant effects were only observed for gender and specific diseases. CONCLUSION: The results of this study support the argument that the current rating procedure for nursing homes has to be refined. Using quality indicators in combination with the administrative data could possibly contribute to such an enhancement.
BACKGROUND: In 2009 a new system for the objective evaluation of nursing homes was introduced in Germany. The so-called nursing transparency agreement (Pflege-Transparenzvereinbarungen) was introduced to provide a reliable tool for an objective comparison of inpatient (PTVS) and outpatient (PTVA) care; however, the new regulations have been the subject of a broad discussion regarding reliability, efficiency and objectivity. AIMS: To overcome the lack of objective health outcomes, this study used administrative data from Germany's largest health insurance fund, the Techniker Krankenkasse, in order to analyze the association between the quality ratings and objective quality measures on an individual level. This is the first study that provides empirical evidence on this topic using administrative data. MATERIAL AND METHODS: The administrative dataset contained information on several individual characteristics as well as data on injuries, poisoning and other extrinsic effects on care-dependent individuals over the age of 64 years who were living in a nursing home in 2009. Based on these data an objective measure was constructed to test whether higher quality ratings of nursing homes led to a better quality of care of the respective patients using non-linear regression models. RESULTS: The results of the estimated models showed no significant evidence of such a relationship, neither considering the probability nor the number of injuries, poisoning and other extrinsic effects. Significant effects were only observed for gender and specific diseases. CONCLUSION: The results of this study support the argument that the current rating procedure for nursing homes has to be refined. Using quality indicators in combination with the administrative data could possibly contribute to such an enhancement.
Entities:
Keywords:
Health status; Injuries; Quality reports; Rating; Transparency
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