van Lier Lisanne I, van der Roest Henriëtte G, Oosten Babette Sh, Garms-Homolová Vjenka, Onder Graziano, Finne-Soveri Harriet, V Jónsson Pálmi, Ljunggren Gunnar, Henrard Jean-Claude, Topinkova Eva, Sørbye Liv Wergeland, Bernabei Roberto, van Hout Hein Pj, Bosmans Judith E
Department of General Practice & Elderly care Medicine, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, The Netherlands.
Health Serv Insights. 2019 Jan 23;12:1178632918820947. doi: 10.1177/1178632918820947. eCollection 2019.
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.
目的是确定11个欧洲国家老年居家护理客户在正式和非正式护理使用方面社会成本的预测因素。
使用居家护理最低数据集(MDS-HC)的资源使用项目,对来自居家护理老年人(AdHoc)研究的1907名接受12个月居家护理的老年客户的社会成本进行估算。通过单变量和多变量广义线性模型分析确定社会成本的预测因素(医学、功能和心理社会领域)。
每位参与者的平均社会成本为36442欧元,范围从丹麦的14865欧元到英国的78836欧元。在最终的多变量模型中,国家、婚姻状况、日常生活活动(ADL)依赖、认知障碍、外出受限、口腔状况、用药数量、关节炎和脑血管意外(CVA)与社会成本显著相关。
在这些预测因素中,ADL依赖和外出受限可能是可改变的。制定旨在改善这些状况的干预措施可能会创造削减社会成本的机会。