Evidence map›Paper›PMID 27152092›Full record

ArticlePopulation health metrics2016

Choosing an epidemiological model structure for the economic evaluation of non-communicable disease public health interventions.

Adam D M Briggs, Jane Wolstenholme, Tony Blakely, Peter Scarborough

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Population health metrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 4 pooled it
21.4field-weighted citation impact, top 1% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 4 syntheses or guidelines pooled it, 107 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Model parameters influencing the cost-effectiveness of sacubitril/valsartan in heart failure: evidence from a systematic literature review.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    Pooled it
  4. Pooled it
  5. Article
  6. Valuing behavioral interventions for obesity reduction: A scoping review of economic models.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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  11. Article
  12. Review
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  14. Review
  15. Article
  16. Article
  17. Bayesian multistate modelling of incomplete chronic disease burden data.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2023
    Article
  18. Review
  19. Modelling decay in effectiveness for evaluation of behaviour change interventions: a tutorial for public health economists.The European journal of health economics : HEPAC : health economics in prevention and care · 2022
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Adam D M BriggsBHF Centre on Population Approaches for Non-Communicable Disease Prevention (BHF CPNP), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF UK.
Jane WolstenholmeHealth Economics Research Centre (HERC), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Tony BlakelyHealth Inequalities Research Programme (HIRP), Department of Public Health, University of Otago, Wellington, New Zealand.
Peter ScarboroughBHF Centre on Population Approaches for Non-Communicable Disease Prevention (BHF CPNP), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF UK.
University of Oxford · GBUniversity of Otago · NZ

Funding

British Heart Foundation FS/15/34/31656Wellcome Trust
6 · The paper itself

Abstract

Non-communicable diseases are the leading global causes of mortality and morbidity. Growing pressures on health services and on social care have led to increasing calls for a greater emphasis to be placed on prevention. In order for decisionmakers to make informed judgements about how to best spend finite public health resources, they must be able to quantify the anticipated costs, benefits, and opportunity costs of each prevention option available. This review presents a taxonomy of epidemiological model structures and applies it to the economic evaluation of public health interventions for non-communicable diseases. Through a novel discussion of the pros and cons of model structures and examples of their application to public health interventions, it suggests that individual-level models may be better than population-level models for estimating the effects of population heterogeneity. Furthermore, model structures allowing for interactions between populations, their environment, and time are often better suited to complex multifaceted interventions. Other influences on the choice of model structure include time and available resources, and the availability and relevance of previously developed models. This review will help guide modelers in the emerging field of public health economic modeling of non-communicable diseases.

Indexed as

Cost-effectivenessEconomicsModelingNon-communicable diseasePublic health

Identifiers

PMID27152092
PMCPMC4857239
OpenAlexW2346719676

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.