Evidence map›Paper›PMID 36497947›Full record

ArticleInternational journal of environmental research and public health2022

A Scoping Review of Approaches to Improving Quality of Data Relating to Health Inequalities.

Sowmiya Moorthie, Vicki Peacey, Sian Evans, Veronica Phillips, Andres Roman-Urrestarazu, Carol Brayne, Louise Lafortune

Abstract readScoping Review
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Protected characteristics reported in pulmonary rehabilitation: a scoping review.European respiratory review : an official journal of the European Respiratory Society · 2024
    Article
  12. Article
  13. Article
  14. Article
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

7 authors.

Sowmiya MoorthieCambridge Public Health, Interdisciplinary Research Centre, University of Cambridge, Cambridge CB2 OSZ, UK.ORCID 0000-0002-7790-2630
Vicki PeaceyCambridgeshire County Council, Alconbury, Huntingdon PE28 4YE, UK.
Sian EvansLocal Knowledge Intelligence Service (LKIS) East, Office for Health Improvements and Disparities, UK.
Veronica PhillipsMedical Library, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SP, UK.ORCID 0000-0002-4383-9434
Andres Roman-UrrestarazuCambridge Public Health, Interdisciplinary Research Centre, University of Cambridge, Cambridge CB2 OSZ, UK.
Carol BrayneCambridge Public Health, Interdisciplinary Research Centre, University of Cambridge, Cambridge CB2 OSZ, UK.
Louise LafortuneCambridge Public Health, Interdisciplinary Research Centre, University of Cambridge, Cambridge CB2 OSZ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying and monitoring of health inequalities requires good-quality data. The aim of this work is to systematically review the evidence base on approaches taken within the healthcare context to improve the quality of data for the identification and monitoring of health inequalities and describe the evidence base on the effectiveness of such approaches or recommendations. Peer-reviewed scientific journal publications, as well as grey literature, were included in this review if they described approaches and/or made recommendations to improve data quality relating to the identification and monitoring of health inequalities. A thematic analysis was undertaken of included papers to identify themes, and a narrative synthesis approach was used to summarise findings. Fifty-seven papers were included describing a variety of approaches. These approaches were grouped under four themes: policy and legislation, wider actions that enable implementation of policies, data collection instruments and systems, and methodological approaches. Our findings indicate that a variety of mechanisms can be used to improve the quality of data on health inequalities at different stages (prior to, during, and after data collection). These findings can inform us of actions that can be taken by those working in local health and care services on approaches to improving the quality of data on health inequalities.

Indexed as

Delivery of Health CarePolicydata qualityhealth disparitieshealth inequalitiespublic health

Identifiers

PMID36497947
PMCPMC9740714

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.