Predictors of Societal Costs of Older Care-Dependent Adults Living in the Community in 11 European Countries.

Minimum Data Set for Home Care Predictors of costs home care older adults societal costs

Journal

Health services insights
ISSN: 1178-6329
Titre abrégé: Health Serv Insights
Pays: United States
ID NLM: 101624726

Informations de publication

Date de publication:
2019
Historique:
received: 12 11 2018
accepted: 15 11 2018
entrez: 6 2 2019
pubmed: 6 2 2019
medline: 6 2 2019
Statut: epublish

Résumé

The objective was to identify predictors of societal costs covering formal and informal care utilization by older home care clients in 11 European countries. Societal costs of 1907 older clients receiving home care for 12 months from the Aged in Home care (AdHoc) study were estimated using the InterRAI Minimum Data Set for Home Care's (MDS-HC) resource use items. Predictors (medical, functional, and psychosocial domains) of societal costs were identified by performing univariate and multivariate generalized linear model analyses. Mean societal costs per participant were €36 442, ranging from €14 865 in Denmark to €78 836 in the United Kingdom. In the final multivariate model, country, being married, activities of daily living (ADL) dependency, cognitive impairment, limitations of going out, oral conditions, number of medications, arthritis, and cerebro vascular accident (CVA) were significantly associated with societal costs. Of the predictors, ADL dependency and limitations of going out may be modifiable. Developing interventions targeted at improving these conditions may create opportunities to curtail societal costs.

Sections du résumé

BACKGROUND BACKGROUND
The objective was to identify predictors of societal costs covering formal and informal care utilization by older home care clients in 11 European countries.
METHODS METHODS
Societal costs of 1907 older clients receiving home care for 12 months from the Aged in Home care (AdHoc) study were estimated using the InterRAI Minimum Data Set for Home Care's (MDS-HC) resource use items. Predictors (medical, functional, and psychosocial domains) of societal costs were identified by performing univariate and multivariate generalized linear model analyses.
RESULTS RESULTS
Mean societal costs per participant were €36 442, ranging from €14 865 in Denmark to €78 836 in the United Kingdom. In the final multivariate model, country, being married, activities of daily living (ADL) dependency, cognitive impairment, limitations of going out, oral conditions, number of medications, arthritis, and cerebro vascular accident (CVA) were significantly associated with societal costs.
CONCLUSIONS CONCLUSIONS
Of the predictors, ADL dependency and limitations of going out may be modifiable. Developing interventions targeted at improving these conditions may create opportunities to curtail societal costs.

Identifiants

pubmed: 30718960
doi: 10.1177/1178632918820947
pii: 10.1177_1178632918820947
pmc: PMC6348544
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1178632918820947

Déclaration de conflit d'intérêts

Declaration of conflicting interests:The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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Auteurs

Lisanne I van Lier (LI)

Department of General Practice & Elderly care Medicine, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.

Henriëtte G van der Roest (HG)

Department of General Practice & Elderly care Medicine, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.

Babette Sh Oosten (BS)

Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, The Netherlands.

Vjenka Garms-Homolová (V)

Department III, Economy and Law, Hochschule für Technik und Wirtschaft Berlin, Berlin, Germany.

Graziano Onder (G)

Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.

Harriet Finne-Soveri (H)

Department of Wellbeing, National Institute for Health and Welfare, Helsinki, Finland.
Faculty of Medicine, University of Helsinki, Helsinki, Finland.

Pálmi V Jónsson (P)

Icelandic Gerontologica Research Institute, Landspitali University Hospital, Reykjavik, Iceland.
Faculty of Medicine, University of Iceland, Reykjavik, Iceland.

Gunnar Ljunggren (G)

Public Healthcare Services Committee Administration, Stockholm County Council, Sweden.
Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Sweden.

Jean-Claude Henrard (JC)

Laboratoire Universitaire Santé-Environment-Vieillissement, Versailles Saint-Quentin-en-Yvelines (UVSQ) University, Paris, France.

Eva Topinkova (E)

Department of Geriatrics, First Faculty of Medicine, Charles University and General Faculty Hospital, Prague, Czech Republic.

Liv Wergeland Sørbye (LW)

Faculty of Health Studies, VID Specialized University, Oslo, Norway.

Roberto Bernabei (R)

Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.

Hein Pj van Hout (HP)

Department of General Practice & Elderly care Medicine, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.

Judith E Bosmans (JE)

Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, The Netherlands.

Classifications MeSH