Evidence map›Paper›PMID 34713422›Full record

ArticlePharmacoEconomics2022

Factors Limiting Subgroup Analysis in Cost-Effectiveness Analysis and a Call for Transparency.

Gemma E Shields, Mark Wilberforce, Paul Clarkson, Tracey Farragher, Arpana Verma, Linda M Davies

Abstract read
In one paragraph

Article in PharmacoEconomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Review
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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

6 authors.

Gemma E ShieldsDivision of Population Health, Health Services Research, and Primary Care, Faculty of Biology, Medicine and Health, Manchester Centre for Health Economics, School of Health Sciences, University of Manchester, Manchester, UK. gemma.shields@manchester.ac.uk.ORCID 0000-0003-4869-7524
Mark WilberforceSocial Policy Research Unit, Department of Social Policy and Social Work, University of York, York, UK.ORCID 0000-0001-6977-4483
Paul ClarksonSocial Care and Society, Division of Population Health, Health Services Research, and Primary Care, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, UK.ORCID 0000-0002-0778-312X
Tracey FarragherThe Epidemiology and Public Health Group (EPHG), Division of Population Health, Health Services Research, and Primary Care, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, UK.ORCID 0000-0002-1968-6378
Arpana VermaThe Epidemiology and Public Health Group (EPHG), Division of Population Health, Health Services Research, and Primary Care, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, UK.ORCID 0000-0002-7950-2649
Linda M DaviesDivision of Population Health, Health Services Research, and Primary Care, Faculty of Biology, Medicine and Health, Manchester Centre for Health Economics, School of Health Sciences, University of Manchester, Manchester, UK.ORCID 0000-0001-8801-3559

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of population averages in cost-effectiveness analysis may hide important differences across subgroups, potentially resulting in suboptimal resource allocation, reduced population health and/or increased health inequalities. We discuss the factors that limit subgroup analysis in cost-effectiveness analysis and propose more thorough and transparent reporting. There are many issues that may limit whether subgroup analysis can be robustly included in cost-effectiveness analysis, including challenges with prespecifying and justifying subgroup analysis, identifying subgroups that can be implemented (identified and targeted) in practice, resource and data requirements, and statistical and ethical concerns. These affect every stage of the design, development and reporting of cost-effectiveness analyses. It may not always be possible to include and report relevant subgroups in cost effectiveness, e.g. due to data limitations. Reasons for not conducting subgroup analysis may be heterogeneous, and the consequences of not acknowledging patient heterogeneity can be substantial. We recommend that when potentially relevant subgroups have not been included in a cost-effectiveness analysis, authors report this and discuss their rationale and the limitations of this. Greater transparency of subgroup reporting should provide a starting point to overcoming these challenges in future research.

Indexed as

Cost-Benefit AnalysisHumans

Identifiers

PMID34713422
PMCPMC8553493

What OpenQuestion holds

Textmetadata
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.