Evidence map›Paper›PMID 30262947›Full record

ArticleBulletin of the World Health Organization2018

Measuring health inequalities in the context of sustainable development goals.

Ahmad Reza Hosseinpoor, Nicole Bergen, Anne Schlotheuber, John Grove

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 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

60 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  19. Advances in diabetes technology within the digital diabetes ecosystem.Journal of managed care & specialty pharmacy · 2024
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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.

Ahmad Reza HosseinpoorDepartment of Information, Evidence and Research, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland.
Nicole BergenFaculty of Health Sciences, University of Ottawa, Ottawa, Canada.
Anne SchlotheuberDepartment of Information, Evidence and Research, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland.
John GroveDepartment of Information, Evidence and Research, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Transforming our world: the 2030 agenda for sustainable development promotes the improvement of health equity, which entails ongoing monitoring of health inequalities. The World Health Organization has developed a multistep approach to health inequality monitoring consisting of: (i) determining the scope of monitoring; (ii) obtaining data; (iii) analysing data; (iv) reporting results; and (v) implementing changes. Technical considerations at each step have implications for the results and conclusions of monitoring and subsequent remedial actions. This paper presents some technical considerations for developing or strengthening health inequality monitoring, with the aim of encouraging more robust, systematic and transparent practices. We discuss key aspects of measuring health inequalities that are relevant to steps (i) and (iii). We highlight considerations related to the selection, measurement and categorization of dimensions of health inequality, as well as disaggregation of health data and calculation of summary measures of inequality. Inequality monitoring is linked to health and non-health aspects of the 2030 agenda for sustainable development, and strong health inequality monitoring practices can help to inform equity-oriented policy directives.

Indexed as

Conservation of Natural ResourcesHealth EquityHealth Status DisparitiesGoalsHumansSocioeconomic Factors

Identifiers

PMID30262947
PMCPMC6154075

What OpenQuestion holds

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LicenceCC BY
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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.