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Equity-informative methods of health services research
Richard Cookson1, Matthew Robson2, Ieva Skarda1
1Centre for Health Economics, University of York, York, UK.
Journal of Health Organization and Management
|June 30, 2021
Summary
Quantitative methods can now analyze health equity impacts, showing who benefits and who bears costs from health interventions. These tools help policymakers understand the distribution of gains and burdens.
Area of Science:
- Health Services Research
- Public Health Interventions
- Health Equity Analysis
Background:
- Mainstream health services research prioritizes effectiveness and efficiency.
- Decision-makers require data on the equity implications of interventions.
- Understanding who benefits and who bears burdens is crucial for equitable policy.
Purpose of the Study:
- To review quantitative methods for analyzing the equity impacts of health and public health interventions.
- To identify how to assess who benefits most and who bears the largest burdens (opportunity costs).
Main Methods:
- Review of quantitative data analysis methods in health services research.
- Focus on three core areas: effectiveness analysis, cost-effectiveness analysis, and performance measurement.
- Inclusion of an appendix with further readings and resources.
Main Results:
- A practical and flexible set of equity-informative methods is available to researchers.
- These methods build upon the standard health services research toolkit.
- Basic methods are accessible to researchers with existing skills in the core areas.
Conclusions:
- The review aims to increase awareness of equity-informative methods in health services research.
- Facilitating the mainstream adoption of these methods is a key goal.
- The ultimate aim is to routinely inform health policymakers about the distributional consequences of their decisions.
Keywords:
Conditional average treatment effectsCost/benefit analysisDistributional cost-effectiveness analysisEquityInequalityQuality improvementQuality indicatorsQuasi experimental designsRandomised controlled trialsSmall-area analysisSocioeconomic factorsSubgroup analysisMore Related Videos
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