Evidence map›Paper›PMID 39666245›Full record

ArticleApplied health economics and health policy2025

Value is Gendered: The Need for Sex and Gender Considerations in Health Economic Evaluations.

Martina Mchenga, Lavanya Vijayasingham, Rajalakshmi RamPrakash, Michelle Remme

Abstract read
In one paragraph

Article in Applied health economics and health policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

4 authors.

Martina MchengaCentre for Social Science Research, University of Cape Town, Cape Town, South Africa. martinamchenga@gmail.com.ORCID 0000-0001-9165-7320
Lavanya VijayasinghamIndependent Global Health Research Consultant, London, UK.ORCID 0000-0002-4424-4491
Rajalakshmi RamPrakashIndependent Consultant, Chennai, India.ORCID 0000-0001-6785-5239
Michelle RemmeThe Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland.ORCID 0009-0008-0122-1610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Economic evaluations play a crucial role in health resource allocation by assessing the costs and effects of various interventions. However, existing methodologies often overlook significant differences related to sex and gender, leading to a 'blind spot' in understanding patient heterogeneity. This paper highlights how biological and social factors influence costs and health outcomes differently for women, emphasising the need for a more explicit consideration of these differences in economic evaluations to ensure efficient and equitable resource allocation. The paper is structured to first outline how sex and gender factors impact costs and outcomes. It then identifies biases in current economic evaluation methods and practices, using real-world examples to illustrate the implications of these biases on policymaking and health equity. Notably, we argue that neglecting gender considerations can lead to inefficiencies and inequities in healthcare resource distribution. Key areas of gender bias include the estimation of productivity losses, quality of life variations and the secondary household effects of interventions. The analysis reveals that women often face higher healthcare costs and experience different health outcomes due to systemic biases in treatment and care. The paper concludes with practical recommendations for analysts, decision makers and research funders, advocating for the integration of sex and gender-responsive methodologies in health economic evaluations. Ultimately, this work calls for a paradigm shift in health economics to better reflect the complexities of sex and gender and improve health outcomes for all.

Indexed as

Cost-Benefit AnalysisHealth Care CostsSexismFemaleHumansMaleSex Factors

Identifiers

PMID39666245
PMCPMC11811431

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.