Which client characteristics predict home-care needs? Results of a survey study among Dutch home-care nurses

Health & Social Care in the Community
Anne O E van den BulckDirk Ruwaard

Abstract

Fee-for-service, funding care on an hourly rate basis, creates an incentive for home-care providers to deliver high amounts of care. Under casemix funding, in contrast, clients are allocated-based on their characteristics-to homogenous, hierarchical groups, which are subsequently funded to promote more effective and efficient care. The first step in developing a casemix model is to understand which client characteristics are potential predictors of home-care needs. Nurses working in home care (i.e. home-care nurses) have a good insight into clients' home-care needs. This study was conducted in co-operation with the Dutch Nurses' Association and the Dutch Healthcare Authority. Based on international literature, 35 client characteristics were identified as potential predictors of home-care needs. In an online survey (May, 2017), Dutch home-care nurses were asked to score these characteristics on relevance, using a 9-point Likert scale. They were subsequently asked to identify the top five client characteristics. Data were analysed using descriptive statistics. The survey was completed by 1,007 home-care nurses. Consensus on relevance was achieved for 15 client characteristics, with "terminal phase" being scored most relevant, and...Continue Reading

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Citations

Jun 28, 2019·Canadian Journal on Aging = La Revue Canadienne Du Vieillissement·Justine L GiosaPaul Stolee
Feb 20, 2020·BMJ Open·Arianne Mathilda Josephus ElissenMisja Chiljon Mikkers

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