Evidence map›Paper›PMID 35767187›Full record

ArticleApplied health economics and health policy2022

Health Inequalities: To What Extent are Decision-Makers and Economic Evaluations on the Same Page? An English Case Study.

Sebastian Hinde, Dan Howdon, James Lomas, Matthew Franklin

Abstract read
In one paragraph

Article in Applied health economics and health policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Obstetric pharmacoeconomics.Expert review of pharmacoeconomics & outcomes research · 2026
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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.

Sebastian HindeCentre for Health Economics, University of York, Heslington, YO10 5DD, UK. Sebastian.Hinde@york.ac.uk.ORCID 0000-0002-7117-4142
Dan HowdonAcademic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.
James LomasDepartment of Economics and Related Studies, University of York, Heslington, UK.
Matthew FranklinSchool of Health and Related Research, University of Sheffield, Sheffield, UK.

Funding

NIHR Applied Research Collaboration Yorkshire and Humber 200166Public Health Research Programme 133634
6 · The paper itself

Abstract

Economic evaluations have increasingly sought to understand how funding decisions within care sectors impact health inequalities. However, there is a disconnect between the methods used by researchers (e.g., within universities) and analysts (e.g., within publicly funded commissioning agencies), compared to evidence needs of decision makers in regard to how health inequalities are accounted for and presented. Our objective is to explore how health inequality is defined and quantified in different contexts. We focus on how specific approaches have developed, what similarities and differences have emerged, and consider how disconnects can be bridged. We explore existing methodological research regarding the incorporation of inequality considerations into economic evaluation in order to understand current best practice. In parallel, we explore how localised decision makers incorporate inequality considerations into their commissioning processes. We use the English care setting as a case study, from which we make inference as how local commissioning has evolved internationally. We summarise the recent development of distributional cost-effectiveness analysis in the economic evaluation literature: a method that makes explicit the trade-off between efficiency and equity. In the parallel decision-making setting, while the alleviation of health inequality is regularly the focus of remits, few details have been formalised regarding its definition or quantification. While data development has facilitated the reporting and comparison of metrics of inequality to inform commissioning decisions, these tend to focus on measures of care utilisation and behaviour rather than measures of health. While both researchers and publicly funded commissioning agencies are increasingly putting the identification of health inequalities at the core of their actions, little consideration has been given to ensuring that they are approaching the problem in a consistent way. The extent to which researchers and commissioning agencies can collaborate on best practice has important implications for how successful policy is in addressing health inequalities.

Indexed as

Health Status DisparitiesResearch DesignCost-Benefit AnalysisDecision MakingHumans

Identifiers

PMID35767187
PMCPMC9596586

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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.