Evidence map›Paper›PMID 20377756›Full record

ArticleThe Milbank quarterly2010

Implicit value judgments in the measurement of health inequalities.

Sam Harper, Nicholas B King, Stephen C Meersman, Marsha E Reichman, Nancy Breen, John Lynch

Abstract read
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 147 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
147citing papers in PubMed, 3 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

147 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  14. The Unheeded Layers of Health Inequity: Visible Minority and Intersectionality.International journal of environmental research and public health · 2025
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  17. Centering Health Equity in an Increasingly Digital Environment.Perspectives in biology and medicine · 2025
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87 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Sam HarperDepartment of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC H3A 1A2, Canada. sam.harper@mcgill.ca
Nicholas B King
Stephen C Meersman
Marsha E Reichman
Nancy Breen
John Lynch

Funding

PHS HHS 263-MQ-611198
6 · The paper itself

Abstract

contextQuantitative estimates of the magnitude, direction, and rate of change of health inequalities play a crucial role in creating and assessing policies aimed at eliminating the disproportionate burden of disease in disadvantaged populations. It is generally assumed that the measurement of health inequalities is a value-neutral process, providing objective data that are then interpreted using normative judgments about whether a particular distribution of health is just, fair, or socially acceptable.

methodsWe discuss five examples in which normative judgments play a role in the measurement process itself, through either the selection of one measurement strategy to the exclusion of others or the selection of the type, significance, or weight assigned to the variables being measured.

findingsOverall, we find that many commonly used measures of inequality are value laden and that the normative judgments implicit in these measures have important consequences for interpreting and responding to health inequalities.

conclusionsBecause values implicit in the generation of health inequality measures may lead to radically different interpretations of the same underlying data, we urge researchers to explicitly consider and transparently discuss the normative judgments underlying their measures. We also urge policymakers and other consumers of health inequalities data to pay close attention to the measures on which they base their assessments of current and future health policies.

Indexed as

Health Status DisparitiesHealth Status IndicatorsAdultChildChild, PreschoolDeveloped CountriesDeveloping CountriesFemaleGlobal HealthHealth Services AccessibilityHumansMaleMiddle AgedPovertyRegistriesRisk Factors

Identifiers

PMID20377756
PMCPMC2888011

What OpenQuestion holds

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Registered trials

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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.