IDEAS home Printed from https://ideas.repec.org/a/eee/hepoli/v119y2015i5p672-679.html
   My bibliography  Save this article

Estimating community health needs against a Triple Aim background: What can we learn from current predictive risk models?

Author

Listed:
  • Elissen, Arianne M.J.
  • Struijs, Jeroen N.
  • Baan, Caroline A.
  • Ruwaard, Dirk

Abstract

To support providers and commissioners in accurately assessing their local populations’ health needs, this study produces an overview of Dutch predictive risk models for health care, focusing specifically on the type, combination and relevance of included determinants for achieving the Triple Aim (improved health, better care experience, and lower costs).

Suggested Citation

  • Elissen, Arianne M.J. & Struijs, Jeroen N. & Baan, Caroline A. & Ruwaard, Dirk, 2015. "Estimating community health needs against a Triple Aim background: What can we learn from current predictive risk models?," Health Policy, Elsevier, vol. 119(5), pages 672-679.
  • Handle: RePEc:eee:hepoli:v:119:y:2015:i:5:p:672-679
    DOI: 10.1016/j.healthpol.2014.12.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0168851014003418
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.healthpol.2014.12.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eggli, Yves & Halfon, Patricia & Chikhi, Mehdi & Bandi, Till, 2006. "Ambulatory healthcare information system: A conceptual framework," Health Policy, Elsevier, vol. 78(1), pages 26-38, August.
    2. Danny Wende, 2019. "Spatial risk adjustment between health insurances: using GWR in risk adjustment models to conserve incentives for service optimisation and reduce MAUP," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(7), pages 1079-1091, September.
    3. Deborah Peikes & Stacy Dale & Eric Lundquist & Janice Genevro & David Meyers, 2011. "Building the Evidence Base for the Medical Home: What Sample and Sample Size Do Studies Need?," Mathematica Policy Research Reports 5814eb8219b24982af7f7536c, Mathematica Policy Research.
    4. Yujing Shen & Randall P. Ellis, 2002. "How profitable is risk selection? A comparison of four risk adjustment models," Health Economics, John Wiley & Sons, Ltd., vol. 11(2), pages 165-174, March.
    5. Randall P. Ellis & Ching‐to Albert Ma, 2011. "Health insurance, cost expectations, and adverse job turnover," Health Economics, John Wiley & Sons, Ltd., vol. 20(1), pages 27-44, January.
    6. Göpffarth Dirk, 2007. "Theorie und Praxis des Risikostrukturausgleichs / Risk Adjustment in Theory and Practice," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(5-6), pages 485-501, October.
    7. Yasar A. Ozcan & Jaya Khushalani, 2017. "Assessing efficiency of public health and medical care provision in OECD countries after a decade of reform," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 325-343, June.
    8. Chiara Natalie Focacci, 2023. "Old versus young: How much do countries spend on social benefits? Deterministic modeling for government expenditure," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 363-377, February.
    9. Göpffarth, Dirk, 2004. "Die Reform des Risikostrukturausgleichs: Eine Zwischenbilanz," Discussion Papers 2004/18, Technische Universität Berlin, School of Economics and Management.
    10. Xiao‐Hua Zhou & Huazhen Lin & Eric Johnson, 2008. "Non‐parametric heteroscedastic transformation regression models for skewed data with an application to health care costs," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(5), pages 1029-1047, November.
    11. Knai, Cécile & Nolte, Ellen & Brunn, Matthias & Elissen, Arianne & Conklin, Annalijn & Pedersen, Janice Pedersen & Brereton, Laura & Erler, Antje & Frølich, Anne & Flamm, Maria & Fullerton, Birgitte &, 2013. "Reported barriers to evaluation in chronic care: Experiences in six European countries," Health Policy, Elsevier, vol. 110(2), pages 220-228.
    12. Randall P. Ellis & Wenjia Zhu, 2016. "Health Plan Type Variations in Spells of Health-Care Treatment," American Journal of Health Economics, MIT Press, vol. 2(4), pages 399-430, Fall.
    13. Mary Charlson & Martin T Wells & Ralph Ullman & Fionnuala King & Celia Shmukler, 2014. "The Charlson Comorbidity Index Can Be Used Prospectively to Identify Patients Who Will Incur High Future Costs," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-16, December.
    14. Manuel García-Goñi & Pere Ibern, 2006. "Predictability of drug expenditures: An application using morbidity data," Working Papers, Research Center on Health and Economics 977, Department of Economics and Business, Universitat Pompeu Fabra.
    15. Timothy Layton & Alice K. Ndikumana & Mark Shepard, 2017. "Health Plan Payment in Medicaid Managed Care: A Hybrid Model of Regulated Competition," NBER Working Papers 23518, National Bureau of Economic Research, Inc.
    16. Lahiri, Kajal & Song, Jae & Wixon, Bernard, 2008. "A model of Social Security Disability Insurance using matched SIPP/Administrative data," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 4-20, July.
    17. Hofmarcher, Maria M. & Festl, Eva & Bishop-Tarver, Leslie, 2016. "Health sector employment growth calls for improvements in labor productivity," Health Policy, Elsevier, vol. 120(8), pages 894-902.
    18. Vargas, Veronica & Wasem, Jürgen, 2002. "Using selected diagnoses to improve the Chilean capitation formula," Wirtschaftswissenschaftliche Diskussionspapiere 06/2002, University of Greifswald, Faculty of Law and Economics.
    19. Manuel García-Goñi & Pere Ibern, 2006. "Predictability of drug expenditures: An application using morbidity data," Economics Working Papers 977, Department of Economics and Business, Universitat Pompeu Fabra.
    20. Haviland Amelia M & Sood Neeraj & McDevitt Roland & Marquis M Susan, 2011. "How Do Consumer-Directed Health Plans Affect Vulnerable Populations?," Forum for Health Economics & Policy, De Gruyter, vol. 14(2), pages 1-25, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:hepoli:v:119:y:2015:i:5:p:672-679. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu or the person in charge (email available below). General contact details of provider: http://www.elsevier.com/locate/healthpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.