ArticleHealth research policy and systems2025
Web-based models to inform health policy: A scoping review.
Article in Health research policy and systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
8 authors.
Funding
Abstract
Health policies must be continually updated as new evidence is generated to ensure the optimal delivery of health interventions and prevention measures. Models are often used to study health problems, but their complexity limits their use by policy-makers. One way to facilitate their use among non-modellers is to develop user-friendly interfaces and make them available online. We conducted a scoping review of journal articles to identify and describe the currently available, interactive, freely available web-based health models that aim to inform health policy relevant to any disease or health issue affecting human populations. This scoping review included 16 web-based models covering 13 diseases or health issues, of which the most common were coronavirus disease 2019 (COVID-19) and malaria. The most common model outputs were epidemiological indicators (14/16), such as case numbers, incidences, or results from diagnostic screening, followed by the cost of implementing the intervention or health measure of interest (10/16). Model validation was performed in 6 of the 16 studies by comparing the model results with the previously published evidence or comparing simulated outcomes with observed data. Sensitivity and scenario analyses were conducted for 62.5% of models (10/16); however, in most cases, the user can perform these analyses by changing the model parameters in the user interface. This review explores the potential of web-based models to support health policy decisions and resource allocation. Despite their limited number, the 16 interactive web-based health models provide valuable insights into various health issues, primarily infectious diseases. The usability of the currently available web-based health models is impacted by the accuracy of the model description, the ability of the user to alter parameter values and the model assumptions that limit their generalizability. Such models must be validated and incorporate appropriate sensitivity analyses to be reliable and helpful to policy-makers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.