Evidence map›Paper›PMID 40400024›Full record

ArticleObesity reviews : an official journal of the International Association for the Study of Obesity2025

How Is Scale Incorporated Into the Economic Evaluation of Interventions to Prevent Obesity or to Improve Obesity-Related Risk Factors: A Systematic Scoping Review.

Carina Dalton, Marufa Sultana, Kaitlyn McKenna, Vicki Brown

Abstract readScoping Review
In one paragraph

Article in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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.

Carina DaltonDeakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, Australia.
Marufa SultanaDeakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, Australia.
Kaitlyn McKennaDeakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, Australia.
Vicki BrownDeakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, Australia.ORCID 0000-0003-2891-9476

Funding

National Health and Medical Research Council GNT1161223National Health and Medical Research Council GNT2002234National Health and Medical Research Council GNT2006999National Health and Medical Research Council GNT2023737
6 · The paper itself

Abstract

introductionObesity prevention interventions commonly need to be implemented at scale, to address what is a significant population-level issue. While systematic reviews on the economic evidence for interventions preventing obesity or reducing obesity-related risk factors exist, to date there has been no empirical focus on the methods used to quantify the impacts of scale on intervention cost-effectiveness. This systematic scoping review aimed to synthesize the methods used to incorporate scale considerations and provide future directions for incorporating scale into economic evaluation of public health interventions.

methodsA systematic search was undertaken by two reviewers using six databases in June 2023 to identify published economic evaluations of obesity prevention interventions, from which primary studies that quantitatively incorporated scale into their analyses were identified and included. Narrative synthesis of methods used to incorporate scale considerations.

resultsFifty-one relevant primary studies were identified, comprising five within-trial and 46 modeled economic evaluations of 132 discrete interventions. Within-trial economic evaluations commonly estimated intervention cost assuming scale, and generally used simplistic methods and assumptions to do so. Only three modeled economic evaluations of interventions actually implemented at scale were identified. The methods used to estimate scale impacts on costs, effects, and populations exposed to interventions were heterogeneous, with few studies including equity-informed analyses.

conclusionsMore guidance is needed on how to appropriately incorporate scale into economic evaluations, whether conducted within-trial or using modeling approaches. This is especially important due to the necessity of population-level interventions to address major health issues like obesity.

Indexed as

Cost-Benefit AnalysisHealth PromotionObesityHumansPublic HealthRisk Factorseconomic evaluationhealth economicsobesityscale up

Identifiers

PMID40400024
PMCPMC12318913

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