ReviewInternational journal of health policy and management2023
Model Choice for Quantitative Health Impact Assessment and Modelling: An Expert Consultation and Narrative Literature Review.
Review in International journal of health policy and management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.
- Evidence for the effectiveness of health impact assessment in spatial planning on health outcomes: A systematic review and stakeholder involvement from a UK perspective.Public health · 2025Pooled it
- The public health co-benefits of strategies consistent with net-zero emissions: a systematic review.The Lancet. Planetary health · 2025Pooled it
- Relevance and challenges of exposome studies for environmental health research.Environmental health : a global access science source · 2026Review
- Expert perspectives on exposure-response functions for urban health policy: Lessons from a UBDPolicy workshop.Environmental research · 2026Review
- A Statistical Framework for Person-centered Analysis of Digital Service Use in Public Health and Social Care.Methods of information in medicine · 2025Article
- Evaluation and optimization of municipal-level health impact assessment policies in China based on the PMC index model.Frontiers in public health · 2025Article
- Exploring the nexus of urban form, transport, environment and health in large-scale urban studies: A state-of-the-art scoping review.Environmental research · 2024Article
- A Blueprint for Multi-use Disease Modeling in Health Economics: Results from Two Expert-Panel Consultations.PharmacoEconomics · 2024Article
- Evaluating social protection mitigation effects on HIV/AIDS and Tuberculosis through a mathematical modelling study.Scientific reports · 2024Article
- The methodology of quantitative risk assessment studies.Environmental health : a global access science source · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealth impact assessment (HIA) is a widely used process that aims to identify the health impacts, positive or negative, of a policy or intervention that is not necessarily placed in the health sector. Most HIAs are done prospectively and aim to forecast expected health impacts under assumed policy implementation. HIAs may quantitatively and/ or qualitatively assess health impacts, with this study focusing on the former. A variety of quantitative modelling methods exist that are used for forecasting health impacts, however, they differ in application area, data requirements, assumptions, risk modelling, complexities, limitations, strengths, and comprehensibility. We reviewed relevant models, so as to provide public health researchers with considerations for HIA model choice.
methodsBased on an HIA expert consultation, combined with a narrative literature review, we identified the most relevant models that can be used for health impact forecasting. We narratively and comparatively reviewed the models, according to their fields of application, their configuration and purposes, counterfactual scenarios, underlying assumptions, health risk modelling, limitations and strengths.
resultsSeven relevant models for health impacts forecasting were identified, consisting of (
conclusionThe reviewed models have specific characteristics, related to available data and parameter structures, computational implementation, interpretation and comprehensibility, which the researcher should critically consider before HIA model choice.
Indexed as
Identifiers
What OpenQuestion holds
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.