Evidence map›Paper›PMID 21166871›Full record

ArticleThe Milbank quarterly2010

On the choice of absolute or relative inequality measures.

Yukiko Asada

Abstract readComment
In one paragraph

Article in The Milbank quarterly, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The Role of Epigenetic Clocks in Explaining Educational Inequalities in Mortality: A Multicohort Study and Meta-analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Pooled it
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  3. Measuring and decomposing income inequalities in child and adolescent mental health in the UK.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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  10. Evaluating Effects of Multilevel Interventions on Disparity in Health and Healthcare Decisions.Prevention science : the official journal of the Society for Prevention Research · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Yukiko AsadaDepartment of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, 5790 University Avenue, Halifax, Nova Scotia, B3H 1V7, Canada. yukiko.asada@dal.ca

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

contextIn a recent article in this journal, Sam Harper and his colleagues (2010) call for increased awareness and open dialogue of moral judgments underlying health inequality measures. They recommend that analysts use relative inequality measures when concerned only about health inequality but use absolute inequality measures when also concerned about other issues, such as the overall level of population health and the level of health for each group in the population.

methodsUsing a simple, hypothetical example, this commentary shows that the relationships among inequality, the absolute level for each group, and the overall level in the population are more complex than suggested by the analysis by Harper and his colleagues.

findingsFirst, analysts must make the choice of absolute or relative inequality measures, separately, for single- and multiple-population cases. Second, in the single-population cases, analysts can use both relative and absolute inequality measures when concerned only about health inequality independent of other considerations. Third, in almost all real-world multiple-population cases, when using either the absolute or relative inequality measure, the assessment of health inequality is influenced by the absolute level of health for each group.

conclusionsThe choice between absolute and relative inequality measures is not about the independent normative significance of inequality, as Harper and his colleagues suggest. In choosing between absolute and relative measures, future work needs to integrate an empirical examination of values, a moral assessment of values, and a technical understanding of inequality measures.

Indexed as

Health Status DisparitiesHealth Status IndicatorsSocioeconomic FactorsChoice BehaviorCommunity Health PlanningHumansJudgmentMorals

Identifiers

PMID21166871
PMCPMC3037178

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.