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Does an Early Primary Care Follow-up after Discharge Reduce Readmissions for Heart Failure Patients?

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)

Abstract

Better monitoring of patients in primary care setting is often considered to be a solution for reducing avoidable hospitalisations and readmissions. In this paper we test the hypothesis that the risk of readmission is associated with the timing and intensity of primary care follow-up, with a focus on consultations with a generalist (GP) after discharge by patients hospitalized for heart failure in France. We propose a discrete-time model which takes into account that primary care treatments have a lagged and cumulative effect on readmission risk measured on a weekly basis, using an instrumental variable strategy (IV). The results from IV regressions suggest that a consultation with a GP in the first weeks after discharge can reduce the readmission risk by almost 50%, and that patients with higher ambulatory care utilisation have smaller odds of readmission. Furthermore, geographical disparities in primary care affect directly primary care utilization and hence indirectly the readmission risk. These results suggest that interventions which strengthen communication between hospitals and generalists are elemental for reducing readmissions and improving system-wide cost efficiency. In order to encourage better care transition and to improve patient outcomes after discharge, financial incentives for hospitals should be aligned with the objective of avoiding repeated hospitalisations. However, the current hospital funding system in France, based on patient volumes, does not provide any incentive for investments to improve patient follow-up after discharge.

Suggested Citation

  • Damien Bricard & Zeynep Or, 2018. "Does an Early Primary Care Follow-up after Discharge Reduce Readmissions for Heart Failure Patients?," Working Papers DT73, IRDES institut for research and information in health economics, revised Mar 2018.
  • Handle: RePEc:irh:wpaper:dt73
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    References listed on IDEAS

    as
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    Cited by:

    1. 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.
    2. 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

    Hospital; Readmission; Heart failure; Primary care; Health care organisation; Instrumental variable; Discrete-time model;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • L24 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Contracting Out; Joint Ventures

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