Causal Inference Methods for Understanding Health Policy Interventions
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Health Care Sciences & Services".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 2676
Special Issue Editors
Interests: health economics; quantitative techniques applied to health; service management; economic aspect of tobacco control and pharmacoeconomics
Interests: health economics; bayesian methods in health economics; cost-effectiveness analysis; meta-analysis and equity in healthcare services
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Identifying good governance in health depends on accurately evaluating policies for their efficiency and effectiveness. Many methodological tools are available for this purpose. Regional case studies in public health are an example in which policies are evaluated through detailed examinations of health conditions before and after the policies are implemented. In many of these analyses, rigorously identifying comparison groups whose outcomes can be contrasted with the outcome of the region undergoing the policy change is difficult.
The ability to determine causal pathways is an essential part of public health research and is key for understanding the effect of policies. The growth of computing power combined with advances in methods theory has led to an increase in researchers’ ability to estimate causal relationships between policy variables. Although a randomized controlled trial remains the gold standard in determining causation, natural or quasi-experiments can be used to evaluate causation when it is infeasible or unethical to run such an experiment.
Increasingly popular methods for policy evaluation include the causal inference methods. These methods provide quantitative support for case studies by creating a hypothetical counterfactual scenario that simulates what the outcome path would be if it did not undergo a particular policy intervention.
In this Special Issue, we invite researchers who are active in evaluating health interventions to submit high-quality empirical and methodological articles. Articles can be in any area of public health research, but the focus must be on either the methods for assessing, or the conducting of studies to assess the impact of policy, practices, or interventions.
Prof. Dr. Jaime Pinilla-Dominguez
Prof. Dr. Miguel Ángel Negrín-Hernández
Dr. Christian González-Martel
Guest Editors
Manuscript Submission Information
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Keywords
- causal inference
- public health
- intervention analysis
- policy evaluation
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