Evidence map›Paper›PMID 27760520›Full record

ArticleBMC medical research methodology2016

Health Equity Assessment Toolkit (HEAT): software for exploring and comparing health inequalities in countries.

Ahmad Reza Hosseinpoor, Devaki Nambiar, Anne Schlotheuber, Daniel Reidpath, Zev Ross

Abstract read
In one paragraph

Article in BMC medical research methodology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
134citing 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

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

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74 more citing papers are in PubMed but not listed here.

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

5 authors.

Ahmad Reza HosseinpoorWorld Health Organization, 20 Avenue Appia, 1211, Geneva 27, Switzerland. hosseinpoora@who.int.
Devaki NambiarPublic Health Foundation of India, 47, Sector 44, Gurgaon, 122002, India.
Anne SchlotheuberWorld Health Organization, 20 Avenue Appia, 1211, Geneva 27, Switzerland.
Daniel ReidpathJeffrey Cheah School of Medicine and Health Sciences, Monash University, Jalan Lagoon Selatan, Bandar Sunway, 46150, Selangor, DE, Malaysia.
Zev RossZevRoss Spatial Analysis, 120 N Aurora St, Suite 3A, Ithaca, NY, 14850, USA.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundIt is widely recognised that the pursuit of sustainable development cannot be accomplished without addressing inequality, or observed differences between subgroups of a population. Monitoring health inequalities allows for the identification of health topics where major group differences exist, dimensions of inequality that must be prioritised to effect improvements in multiple health domains, and also population subgroups that are multiply disadvantaged. While availability of data to monitor health inequalities is gradually improving, there is a commensurate need to increase, within countries, the technical capacity for analysis of these data and interpretation of results for decision-making. Prior efforts to build capacity have yielded demand for a toolkit with the computational ability to display disaggregated data and summary measures of inequality in an interactive and customisable fashion that would facilitate interpretation and reporting of health inequality in a given country.

methodsTo answer this demand, the Health Equity Assessment Toolkit (HEAT), was developed between 2014 and 2016. The software, which contains the World Health Organization's Health Equity Monitor database, allows the assessment of inequalities within a country using over 30 reproductive, maternal, newborn and child health indicators and five dimensions of inequality (economic status, education, place of residence, subnational region and child's sex, where applicable). RESULTS/

conclusionHEAT was beta-tested in 2015 as part of ongoing capacity building workshops on health inequality monitoring. This is the first and only application of its kind; further developments are proposed to introduce an upload data feature, translate it into different languages and increase interactivity of the software. This article will present the main features and functionalities of HEAT and discuss its relevance and use for health inequality monitoring.

Indexed as

Health Status DisparitiesSoftwareComputational BiologyDatabases, FactualGlobal HealthHealthcare DisparitiesHealth EquityHumansReproducibility of ResultsWorld Health Organization

Identifiers

PMID27760520
PMCPMC5069829

What OpenQuestion holds

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LicenceCC BY
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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.