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Case study research and causal inference.

Judith Green1, Benjamin Hanckel2, Mark Petticrew3

  • 1Wellcome Centre for Cultures & Environments of Health, University of Exeter, Exeter, UK. j.m.green@exeter.ac.uk.

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Summary
This summary is machine-generated.

Case studies can strengthen causal inference in health research by providing evidence on theories, mechanisms, and complex systems. Improved reporting enhances their value for public health and health services evaluations.

Keywords:
Case studyCausal inferenceEvaluationHealth services researchInequalityPublic health

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Area of Science:

  • Health Services Research
  • Public Health Interventions
  • Health Inequality Research

Background:

  • Case study methodology is underutilized in health evaluative studies due to perceived limitations in establishing causality.
  • Existing research often assumes case studies offer minimal contribution to causal inference.

Purpose of the Study:

  • To review case study research in public health and health services evaluations, focusing on interventions addressing health inequalities.
  • To identify how case studies contribute to evidence for causal relationships in health research.

Main Methods:

  • A narrative review of case study research was conducted.
  • The review focused on examples from public health and health services evaluations, particularly those addressing health inequalities.

Main Results:

  • Case studies contribute to causal inference through five key areas: actors' theories of causality, demonstrative examples, causal mechanisms, conditions for mechanisms, and complex system causality.
  • These findings highlight the potential of case studies to inform causal understanding.

Conclusions:

  • Case studies demonstrably contribute to understanding causal relationships in health research.
  • Enhanced transparency and methodological rigor in reporting case studies are crucial for strengthening their contribution to the evidence base for interventions.