Evidence map›Paper›PMID 31036081›Full record

ArticleIsrael journal of health policy research2019

Disparities, variations, inequalities or inequities: whatever you call them, we need data to monitor them.

Jennifer S Mindell

Abstract readComment
In one paragraph

Article in Israel journal of health policy research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Jennifer S MindellUCL, Gower Street, London, WC1E 6BT, UK. j.mindell@ucl.ac.uk.ORCID 0000-0002-7604-6131

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health inequalities are a problem in high, middle and low income countries. Most are unfair ('inequities') and could be minimised but primarily through policies outside the health service.In the US, the Center for Diseases Control has used high quality, nationally-available data to monitor conditions and determinants of health among different groups (by sex, disability, race, ethnicity, and language) to motivate action to reduce inequalities. In the UK, the 10 top level 'health' indicators in London at the turn of the millennium included unemployment, education, housing quality, crime, air pollution, road travel injuries, as well as traditional health measures. Most of these affect mental and physical health through social determinants or adverse environmental exposures. Current inequalities monitoring in England includes a Local Basket of Inequalities Indicators focusing on a wide range of determinants of health as well as traditional health metrics.Israel, like the US, has above average socio-economic inequalities but has universal healthcare. Health inequalities in Israel occur within different Jewish groups and by income, education, ethnicity, and religion, with disadvantages often clustering. Current monitoring in Israel focuses on health outcomes and 'midstream' healthcare-related provision. I agree with Abu-Saad and her colleagues that including monitoring of social determinants of health is crucial to identify and tackle health inequalities in Israel.National, 'upstream', interventions are the most effective ways to reduce inequalities and improve the population's health. High-level political support is crucial for this. While a 'Health in all Policies' approach combined with political will to 'leave no one behind' can lead to great improvements, regular monitoring is essential, to: identify the inequities; plan appropriate and effective, targeted interventions; implement and evaluate them; and change them where needed. All of this requires adequate and timely data on health and its determinants, including information about undiagnosed and poorly controlled disease, obtained from the general population not just those attending for healthcare, analysed for each population sub-group at risk of experiencing inequalities.This is a commentary on https://doi.org/10.1186/s13584-018-0208-1.

Indexed as

EnglandFemaleHumansIsraelLondonSocioeconomic FactorsDisparitiesInequalitiesInequitiesSustainable development goals (SDGs)Variations

Identifiers

PMID31036081
PMCPMC6487525

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.