Explaining regional variation in home care use by demand and supply variables. Issue 2 (February 2018)

• Record Type: Journal Article
• Authors: van Noort, Olivier; Schotanus, Fredo; van de Klundert, Joris; Telgen, Jan
• Is Part Of: Health policy. Volume 122:Issue 2(2018)
• Page Start: 140
• Page End: 146
• Publication Date: 2018-02
• Subjects: Home care -- Utilization -- Population based budget -- Risk adjustment -- Supplier Induced Demand (SID); Medical education -- Periodicals; Medical policy -- Periodicals; Delivery of Health Care -- Periodicals; Education, Medical -- Periodicals; Health Education -- Periodicals; Health Planning -- Periodicals; Public Policy -- Periodicals; Enseignement médical -- Périodiques; Politique sanitaire -- Périodiques; Medical education; Medical policy; Periodicals; Electronic journals; Electronic journals; 362.1
• DOI: 10.1016/j.healthpol.2017.05.003
• Languages: English
• ISSNs: 0168-8510

Abstract

Highlights: Supply factors additionally explain cost variation in home care services. Competition, organizational type and related services are relevant supply factors. The number of clients is better explained than costs per client. Purchasers and policy makers should rethink competition in home care. Abstract: In the Netherlands, home care services like district nursing and personal assistance are provided by private service provider organizations and covered by private health insurance companies which bear legal responsibility for purchasing these services. To improve value for money, their procurement increasingly replaces fee-for-service payments with population based budgets. Setting appropriate population budgets requires adaptation to the legitimate needs of the population, whereas historical costs are likely to be influenced by supply factors as well, not all of which are necessarily legitimate. Our purpose is to explain home care costs in terms of demand and supply factors. This allows for adjusting historical cost patterns when setting population based budgets. Using expenses claims of 60 Dutch municipalities, we analyze eight demand variables and five supply variables with a multiple regression model to explain variance in the number of clients per inhabitant, costs per client and costs per inhabitant. Our models explain 69% of variation in the number of clients per inhabitant, 28% of costs per client and 56% of costs per inhabitant using demand factors. Moreover, we find that supply factors explain an additional 17–23% of variation. Predictors of higher utilization are home care organizations that are integrated with intramural nursing homes, higher competition levels among home care organizations and the availability of complementary services.