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. 2015 Apr;119(4):522-9.
doi: 10.1016/j.healthpol.2014.12.003. Epub 2014 Dec 10.

How to evaluate population management? Transforming the Care Continuum Alliance population health guide toward a broadly applicable analytical framework

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How to evaluate population management? Transforming the Care Continuum Alliance population health guide toward a broadly applicable analytical framework

Jeroen N Struijs et al. Health Policy. 2015 Apr.

Abstract

Many countries face the persistent twin challenge of providing high-quality care while keeping health systems affordable and accessible. As a result, the interest for more efficient strategies to stimulate population health is increasing. A possible successful strategy is population management (PM). PM strives to address health needs for the population at-risk and the chronically ill at all points along the health continuum by integrating services across health care, prevention, social care and welfare. The Care Continuum Alliance (CCA) population health guide, which recently changed their name in Population Health Alliance (PHA) provides a useful instrument for implementing and evaluating such innovative approaches. This framework is developed for PM specifically and describes the core elements of the PM-concept on the basis of six subsequent interrelated steps. The aim of this article is to transform the CCA framework into an analytical framework. Quantitative methods are refined and we operationalized a set of indicators to measure the impact of PM in terms of the Triple Aim (population health, quality of care and cost per capita). Additionally, we added a qualitative part to gain insight into the implementation process of PM. This resulted in a broadly applicable analytical framework based on a mixed-methods approach. In the coming years, the analytical framework will be applied within the Dutch Monitor Population Management to derive transferable 'lessons learned' and to methodologically underpin the concept of PM.

Keywords: Analytical framework; Evaluation; Population health management; Population management.

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