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The international performance of healthcare systems in population health: Capabilities of pooled cross-sectional time series methods

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  • Reibling, Nadine
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    Abstract

    This paper outlines the capabilities of pooled cross-sectional time series methodology for the international comparison of health system performance in population health. It shows how common model specifications can be improved so that they not only better address the specific nature of time series data on population health but are also more closely aligned with our theoretical expectations of the effect of healthcare systems. Three methodological innovations for this field of applied research are discussed: (1) how dynamic models help us understand the timing of effects, (2) how parameter heterogeneity can be used to compare performance across countries, and (3) how multiple imputation can be used to deal with incomplete data. We illustrate these methodological strategies with an analysis of infant mortality rates in 21 OECD countries between 1960 and 2008 using OECD Health Data.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0168851013001632
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    Bibliographic Info

    Article provided by Elsevier in its journal Health Policy.

    Volume (Year): 112 (2013)
    Issue (Month): 1 ()
    Pages: 122-132

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    Handle: RePEc:eee:hepoli:v:112:y:2013:i:1:p:122-132

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    Web page: http://www.elsevier.com/locate/healthpol

    Related research

    Keywords: Time series; Population health; Performance analysis; Error correction model; International comparison; Infant mortality;

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