Evidence map›Paper›PMID 25366343›Full record

ArticleInternational journal for equity in health2014

A three-stage approach to measuring health inequalities and inequities.

Yukiko Asada, Jeremiah Hurley, Ole Frithjof Norheim, Mira Johri

Abstract read
In one paragraph

Article in International journal for equity in health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
  2. Trial
  3. Proposal of a Vaccination Needs Index to Prioritise Municipal Interventions in Brazil.Tropical medicine & international health : TM & IH · 2026
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  19. Equity reporting: a framework for putting knowledge mobilization and health equity at the core of population health status reporting.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2018
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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.

Yukiko Asada
Jeremiah Hurley
Ole Frithjof Norheim
Mira Johri

Funding

Canadian Institutes of Health Research MSH 87687
6 · The paper itself

Abstract

introductionMeasurement of health inequities is fundamental to all health equity initiatives. It is complex because it requires considerations of ethics, methods, and policy. Drawing upon the recent developments in related specialized fields, in this paper we incorporate alternative definitions of health inequity explicitly and transparently in its measurement. We propose a three-stage approach to measuring health inequities that assembles univariate health inequality, univariate health inequity, and bivariate health inequities in a systematic and comparative manner.

methodsWe illustrate the application of the three-stage approach using the Joint Canada/United States Survey of Health, measuring health by the Health Utilities Index (HUI). Univariate health inequality is the distribution of the observed HUI across individuals. Univariate health inequity is the distribution of unfair HUI--components of HUI associated with ethically unacceptable factors--across individuals. To estimate the unfair HUI, we apply two popular definitions of inequity: "equal opportunity for health" (health outcomes due to factors beyond individual control are unfair), and "policy amenability" (health outcomes due to factors amenable to policy interventions are unfair). We quantify univariate health inequality and inequity using the Gini coefficient. We assess bivariate inequities using a regression-based decomposition method.

resultsOur analysis reveals that, empirically, different definitions of health inequity do not yield statistically significant differences in the estimated amount of univariate inequity. This derives from the relatively small explanatory power common in regression models describing variations in health. As is typical, our model explains about 20% of the variation in the observed HUI. With regard to bivariate inequities, income and health care show strong associations with the unfair HUI.

conclusionsThe measurement of health inequities is an excitingly multidisciplinary endeavour. Its development requires interdisciplinary integration of advances from relevant disciplines. The proposed three-stage approach is one such effort and stimulates cross-disciplinary dialogues, specifically, about conceptual and empirical significance of definitions of health inequities.

Indexed as

Health Status DisparitiesHealth Status IndicatorsAnalysis of VarianceCanadaCross-Sectional StudiesEmpirical ResearchFeasibility StudiesHealth SurveysHumansModels, TheoreticalResearch DesignUnited States

Identifiers

PMID25366343
PMCPMC4222403

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.