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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 2187

Special Issue Editors


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Guest Editor
Quantitative methods Department, University of Las Palmas de Gran Canaria, 35001 Las Palmas, Spain
Interests: health economics; quantitative techniques applied to health; service management; economic aspect of tobacco control and pharmacoeconomics

E-Mail Website
Guest Editor
Quantitative Methods Department, University of Las Palmas de Gran Canaria, 35001 Las Palmas, Spain
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

E-Mail Website
Guest Editor
Quantitative Methods Department, University of Las Palmas de Gran Canaria, 35001 Las Palmas, Spain
Interests: quantitative methods; machine learning techniques and neuronal networks

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • causal inference
  • public health
  • intervention analysis
  • policy evaluation

Published Papers (1 paper)

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Research

13 pages, 767 KiB  
Article
Group Differences in the Psychological Integration Path of the Rural-to-Urban Migrants: A Conditional Process Analysis
by Liu Yang and Qinyao Wu
Int. J. Environ. Res. Public Health 2021, 18(21), 11463; https://doi.org/10.3390/ijerph182111463 - 31 Oct 2021
Cited by 2 | Viewed by 1692
Abstract
At present, income and welfare inequality between migrant workers and urban natives has improved in China, but there are still many “semi-urbanized” migrant workers, whose psychological integration into the migrant city is very important for their mental health. By using a second stage [...] Read more.
At present, income and welfare inequality between migrant workers and urban natives has improved in China, but there are still many “semi-urbanized” migrant workers, whose psychological integration into the migrant city is very important for their mental health. By using a second stage conditional process model to decompose the effect of income on psychological integration into direct and indirect effects, this study explores the different psychological integration paths of migrant workers in different migration ranges, based on the data of the China Migrants Dynamic Survey (CMDS). The results show that the total effect of income on psychological integration is positive, and the value of inter-provincial samples is twice that of full samples. There is a significant difference in psychological integration paths between inter-provincial and intra-provincial samples, and when social comparison acts as a mediator, income has no direct effect on psychological integration of intra-provincial samples, while the direct and indirect effects of inter-provincial samples account for half of each other. Perceived discrimination played a reversed moderated role in the effect of social comparison on psychological integration, i.e., the lower the degree of perceived discrimination, the stronger the positive effect of social comparison on psychological integration, and vice versa. Therefore, according to the actual needs of different groups, relevant policies should be gradually adjusted to improve the psychological integration of migrant workers, thus contributing to their mental health. Full article
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