Estimating community health needs against a Triple Aim background: What can we learn from current predictive risk models?
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DOI: 10.1016/j.healthpol.2014.12.007
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- Nolte, Ellen & Knai, Cécile & Hofmarcher, Maria & Conklin, Annalijn & Erler, Antje & Elissen, Arianne & Flamm, Maria & Fullerton, Brigit & Sönnichsen, Andreas & Vrijhoef, Hubertus J. M., 2012. "Overcoming fragmentation in health care: chronic care in Austria, Germany and the Netherlands," Health Economics, Policy and Law, Cambridge University Press, vol. 7(1), pages 125-146, January.
- Arlene Ash & Randall P. Ellis & Gregory Pope & John Ayanian & David Bates & Helen Burstin & Lisa Iezzoni & Elizabeth McKay & Wei Yu, 2000. "Using Diagnoses to Describe Populations and Predict Costs," Papers 0099, Boston University - Industry Studies Programme.
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Cited by:
- van den Bulck, Anne O.E. & de Korte, Maud H. & Elissen, Arianne M.J. & Metzelthin, Silke F. & Mikkers, Misja C. & Ruwaard, Dirk, 2020. "A systematic review of case-mix models for home health care payment: Making sense of variation," Health Policy, Elsevier, vol. 124(2), pages 121-132.
- Maud H. Korte & Gertjan S. Verhoeven & Arianne M. J. Elissen & Silke F. Metzelthin & Dirk Ruwaard & Misja C. Mikkers, 2020. "Using machine learning to assess the predictive potential of standardized nursing data for home healthcare case-mix classification," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(8), pages 1121-1129, November.
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Keywords
Community-based care; Integrated care; Health needs assessment; Predictive risk models; Triple Aim;All these keywords.
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