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Méthodologie de l’évaluation d’impact de l’expérimentation Parcours santé des aînés (Paerpa)

Author

Listed:
  • Damien Bricard

    (IRDES Institut de recherche et documentation en économie de la santé)

  • Zeynep Or

    (IRDES Institut de recherche et documentation en économie de la santé)

  • Anne Penneau

    (IRDES Institut de recherche et documentation en économie de la santé)

Abstract

L’expérimentation sur les Parcours santé des aînés (Paerpa), lancée en 2014 dans neuf territoires pilotes, avec l’objectif d’améliorer la prise en charge et la qualité de vie des personnes âgées de 75 ans et plus, est un exemple d'expérimentation complexe. Elle combine une série de dispositifs nationaux implémentés de façon hétérogène d’un territoire à l’autre. L’évaluation d’expérimentations territoriales comme Paerpa renvoie à des enjeux méthodologiques importants car le traitement de ces expérimentations est hétérogène et l'effet de ce traitement peut varier selon les contextes territoriaux. Dans cet article, nous présentons la méthode du contrôle synthétique (CS) comme une méthode pertinente pour l’évaluation d’impact des politiques territoriales et nous testons sa robustesse comparativement aux méthodes alternatives plus classiques. L’évaluation s’appuie principalement sur les données du Système national des données de santé (SNDS) de 12 régions françaises de 2010 à 2016. Les contextes socio­-économiques et l’offre sanitaire et médico-sociale des territoires sont appréhendés à partir de nombreuses sources de données, à un niveau communal ou départemental. Les analyses exploratoires mettent en évidence un biais de sélection pour certains territoires et suggèrent que les méthodes de régressions classiques peuvent être inappropriées. La méthode du CS permet de faire varier la composition des témoins selon le territoire et l’indicateur de résultat, et d’établir l’impact des dispositifs de façon robuste. Elle fournit un moyen systématique pour identifier les unités de contrôle, donne la possibilité d’explorer de façon approfondie les résultats par territoire et d’être totalement objectifs dans le choix des territoires témoins en les sélectionnant selon des critères statistiques. Complétée par des analyses qualitatives, la méthode offre des clés de compréhension utiles pour l’interprétation des résultats.

Suggested Citation

  • Damien Bricard & Zeynep Or & Anne Penneau, 2018. "Méthodologie de l’évaluation d’impact de l’expérimentation Parcours santé des aînés (Paerpa)," Working Papers DT74, IRDES institut for research and information in health economics, revised Jun 2018.
    • Handle: RePEc:irh:wpaper:dt74
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    Cited by:

    1. Anne Penneau & Damien Bricard & Zeynep Or, 2019. "Améliorer la prise en charge sanitaire et sociale des personnes âgées : impact des plans personnalisés de santé sur les parcours de soins," Working Papers DT81, IRDES institut for research and information in health economics, revised Jul 2019.
    2. Or, Zeynep & Gandré, Coralie & Durand Zaleski, Isabelle & Steffen, Monika, 2022. "France's response to the Covid-19 pandemic: between a rock and a hard place," Health Economics, Policy and Law, Cambridge University Press, vol. 17(1), pages 14-26, January.
    3. Christine Le Clainche & Pascale Lengagne, 2019. "The Effects of Mass Layoffs on Mental Health," Working Papers DT78, IRDES institut for research and information in health economics, revised May 2019.

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    More about this item

    Keywords

    Méthode d’évaluation; coordination des soins; hétérogénéité de traitement;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling

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