System dynamics modelling methods for public health policy evaluation: a systematic literature review focussing on mental health and substance use disorders

SD models are increasingly developed for NCDs and lifestyle-related risk factors, and particularly applied to mental health and substance use disorders. This review offers insights into applied techniques for developing SD models for mental health and substance use disorders, and shows that steps of the modelling cycle are reported on with considerable variation. Although studies frequently report on certain aspects of testing and validation, many report incompletely on other activities of the modelling cycle, and the models sometimes lack transparency. Improving this would enhance the credibility of SD modelling in public health.

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Journal
BMC Public Health
Published
2026-02-06
DOI
https://doi.org/10.1186/s12889-026-26444-y
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
0.00
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article

System dynamics modelling methods for public health policy evaluation: a systematic literature review focussing on mental health and substance use disorders

Talitha Feenstra, H.A. Valkenburg, Ben F. M. Wijnen, Jasper ten Dam et al.
BMC Public Health
Complex Systems and Decision Making
article

System dynamics modelling methods for public health policy evaluation: a systematic literature review focussing on mental health and substance use disorders

Talitha Feenstra, H.A. Valkenburg, Ben F. M. Wijnen, Jasper ten Dam, Jeroen Rodenburg, Sjoukje van der Werf
article en

Abstract

SD models are increasingly developed for NCDs and lifestyle-related risk factors, and particularly applied to mental health and substance use disorders. This review offers insights into applied techniques for developing SD models for mental health and substance use disorders, and shows that steps of the modelling cycle are reported on with considerable variation. Although studies frequently report on certain aspects of testing and validation, many report incompletely on other activities of the modelling cycle, and the models sometimes lack transparency. Improving this would enhance the credibility of SD modelling in public health.

BMC Public HealthVol. 26(1)
University Medical Center Groningen (NL), University of Groningen (NL), National Institute for Public Health and the Environment (NL), Trimbos Institute (NL), University of Twente (NL)
Openalex Percentile: Top 69%
Complex Systems and Decision Making
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System dynamics modelling methods for public health policy evaluation: a systematic literature review focussing on mental health and substance use disorders — Talitha Feenstra, H.A. Valkenburg, et al. · BMC Public Health (2026) | TGRS Research Map | TGRS