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André-Pierre Contandriopoulos1, Lynda Rey1, Astrid Brousselle2

  • 1Université de Montréal, Montréal, Québec.

The Canadian Journal of Program Evaluation = La Revue Canadienne D'Evaluation De Programme
|June 14, 2016
PubMed
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Evaluation findings are underutilized by health decision-makers. Addressing complex health systems requires evaluators to use unconventional methods to increase the use of evaluation results.

Area of Science:

  • Health Systems Research
  • Program Evaluation
  • Intervention Science

Background:

  • Evaluation is theoretically crucial for addressing health system challenges.
  • Despite advancements in evaluation, decision-makers' use of findings remains limited.
  • The complexity of healthcare systems poses a significant barrier to evaluation uptake.

Purpose of the Study:

  • To explore the challenges hindering the utilization of evaluation findings by health decision-makers.
  • To identify factors influencing the use of evaluation results in complex healthcare settings.
  • To propose strategies for enhancing the application of evaluation in health systems.

Main Methods:

  • The study examines the conceptual, methodological, and operational challenges in evaluating complex interventions.

Related Experiment Videos

  • It highlights the need for evaluators to adopt unconventional approaches.
  • Focuses on the interplay between evaluation practices and decision-maker needs within healthcare.
  • Main Results:

    • The limited use of evaluation is linked to evaluators' insufficient accounting for healthcare system complexity.
    • Complex interventions necessitate adaptive and unconventional evaluation strategies.
    • Overcoming conceptual, methodological, and operational hurdles is key to increasing findings utilization.

    Conclusions:

    • Effective evaluation in complex health systems requires acknowledging and addressing system intricacies.
    • Evaluators must adapt methods to better suit the multifaceted nature of interventions.
    • Improving the use of evaluation findings necessitates a deeper understanding of health system dynamics and evaluator capabilities.