Evidence map›Paper›PMID 35764951›Full record

SynthesisBMC public health2022

Rapid systematic review to identify key barriers to access, linkage, and use of local authority administrative data for population health research, practice, and policy in the United Kingdom.

Sowmiya Moorthie, Shabina Hayat, Yi Zhang, Katherine Parkin, Veronica Philips, Amber Bale, Robbie Duschinsky, Tamsin Ford, Anna Moore

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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  7. Article
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  9. Observational
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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

9 authors.

Sowmiya MoorthieCambridge Public Health, Interdisciplinary Research Centre, Forvie Site, Cambridge Biomedical Campus, Cambridge, UK. sam71@medschl.cam.ac.uk.
Shabina HayatCambridge Public Health, Interdisciplinary Research Centre, Forvie Site, Cambridge Biomedical Campus, Cambridge, UK.
Yi ZhangDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Katherine ParkinCambridge Public Health, Interdisciplinary Research Centre, Forvie Site, Cambridge Biomedical Campus, Cambridge, UK.
Veronica PhilipsUniversity of Cambridge Medical Library, Cambridge, UK.
Amber BaleDepartment of Psychology, University of Northumbria, Newcastle upon Tyne, UK.
Robbie DuschinskyDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Tamsin FordDepartment of Psychiatry, University of Cambridge, Herschel Smith Building, Robinson Way, Cambridge, UK.
Anna MooreDepartment of Psychiatry, University of Cambridge, Herschel Smith Building, Robinson Way, Cambridge, UK.

Funding

Department of HealthMedical Research Council MC_PC_21025Medical Research Council MR/T046430/1
6 · The paper itself

Abstract

backgroundImproving data access, sharing, and linkage across local authorities and other agencies can contribute to improvements in population health. Whilst progress is being made to achieve linkage and integration of health and social care data, issues still exist in creating such a system. As part of wider work to create the Cambridge Child Health Informatics and Linked Data (Cam-CHILD) database, we wanted to examine barriers to the access, linkage, and use of local authority data.

methodsA systematic literature search was conducted of scientific databases and the grey literature. Any publications reporting original research related to barriers or enablers of data linkage of or with local authority data in the United Kingdom were included. Barriers relating to the following issues were extracted from each paper: funding, fragmentation, legal and ethical frameworks, cultural issues, geographical boundaries, technical capability, capacity, data quality, security, and patient and public trust.

resultsTwenty eight articles were identified for inclusion in this review. Issues relating to technical capacity and data quality were cited most often. This was followed by those relating to legal and ethical frameworks. Issue relating to public and patient trust were cited the least, however, there is considerable overlap between this topic and issues relating to legal and ethical frameworks.

conclusionsThis rapid review is the first step to an in-depth exploration of the barriers to data access, linkage and use; a better understanding of which can aid in creating and implementing effective solutions. These barriers are not novel although they pose specific challenges in the context of local authority data.

Indexed as

Population HealthHumansPolicyResearch DesignTrustUnited KingdomHealth informaticsIntegrated careLinked dataPublic health

Identifiers

PMID35764951
PMCPMC9241330

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.