Verläufe von Pflegebedürftigkeit in Hessen in den Jahren 1999 bis 2002. Ergebnisse einer Längsschnittstudie

Prüß, U.; Küpper-Nybelen, J.; Ihle, Peter; Schubert, Ingrid

doi:10.1055/s-2005-858996

Gesundheitswesen

2006

DOI: 10.1055/s-2005-858996

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Verläufe von Pflegebedürftigkeit in Hessen in den Jahren 1999 bis 2002. Ergebnisse einer Längsschnittstudie

U. Prüß

J. Küpper-Nybelen²,

Peter Ihle³

et al.

Abstract: Further research should consider risk factors for entry into institutional care and mortality rates as well as questions regarding the prevention of care dependency and effectiveness of rehabilitation. Pathways through care should be analysed by focusing social variables like sex and chronic diseases of older people. Secondary analysis of process data from German statutory long-term care insurance program is a powerful tool for the study pathways through of long-term care.

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Cited by 3 publications

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“…1 1 Prüß et al (), Rothgang et al (), and Seger et al () are basically the only ones making an approach on the LOS in LTC for Germany.…”

mentioning

confidence: 99%

Los(t) in Long‐term Care: Empirical Evidence From German Data 2000–2009

Hacker

Hackmann

2011

Health Economics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractUsing microdata, i.e. representative samples of 114,403 German long-term care dependants (LTCDs) observed from 2000 to 2009 we give a comprehensive insight into the length of stay (LOS) in long-term care (LTC). Furthermore, this paper evaluates the effects of longevity on the LOS thus revisiting the debate on the validity of the competing theories of compression or expansion of morbidity in LTC. The analysis finds significant effects on the LOS when age is controlled for thus rejecting the time-to-death hypothesis. However, controlling for assessment level suggests an improved health status of LTCDs over time thus supporting the time-to-death hypothesis. An analysis of the mortality rates of LTCDs is to give insight into the opposing results. But the regression of mortality shows a divergence in the development of mortality rates for different disability levels. This is evidence to suggest that the "improved" health status in LTC is not only due to actual changes in the health status, but also a consequence of political meddling.

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“…1 1 Prüß et al (), Rothgang et al (), and Seger et al () are basically the only ones making an approach on the LOS in LTC for Germany.…”

mentioning

confidence: 99%

Los(t) in Long‐term Care: Empirical Evidence From German Data 2000–2009

Hacker

Hackmann

2011

Health Economics

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Hannover Morbiditäts- und Mortalitäts-Pflegestudie (HMMPS): Langzeitverläufe, Pflegestufenübergänge und Reaktivierungen in der gesetzlichen Pflegeversicherung

et al. 2008

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Pflegeverläufe im Spiegel von Routinedaten der GKV: Eine Analyse für die Jahre 2003 bis 2010

2015

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Verläufe von Pflegebedürftigkeit in Hessen in den Jahren 1999 bis 2002. Ergebnisse einer Längsschnittstudie

Cited by 3 publications

References 1 publication

Los(t) in Long‐term Care: Empirical Evidence From German Data 2000–2009

Los(t) in Long‐term Care: Empirical Evidence From German Data 2000–2009

Hannover Morbiditäts- und Mortalitäts-Pflegestudie (HMMPS): Langzeitverläufe, Pflegestufenübergänge und Reaktivierungen in der gesetzlichen Pflegeversicherung

Pflegeverläufe im Spiegel von Routinedaten der GKV: Eine Analyse für die Jahre 2003 bis 2010

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