UK research data resources based on primary care electronic health records: review and summary for potential users.
electronic health records
population
population level linked data
primary care databases
primary health care
Journal
BJGP open
ISSN: 2398-3795
Titre abrégé: BJGP Open
Pays: England
ID NLM: 101713531
Informations de publication
Date de publication:
Sep 2023
Sep 2023
Historique:
received:
02
04
2023
revised:
12
06
2023
accepted:
07
07
2023
medline:
11
7
2023
pubmed:
11
7
2023
entrez:
10
7
2023
Statut:
epublish
Résumé
The range and scope of electronic health record (EHR) data assets in the UK has recently increased, which has been mainly in response to the COVID-19 pandemic. Summarising and comparing the large primary care resources will help researchers to choose the data resources most suited to their needs. To describe the current landscape of UK EHR databases and considerations of access and use of these resources relevant to researchers. Narrative review of EHR databases in the UK. Information was collected from the Health Data Research Innovation Gateway, publicly available websites and other published data, and from key informants. The eligibility criteria were population-based open-access databases sampling EHRs across the whole population of one or more countries in the UK. Published database characteristics were extracted and summarised, and these were corroborated with resource providers. Results were synthesised narratively. Nine large national primary care EHR data resources were identified and summarised. These resources are enhanced by linkage to other administrative data to a varying extent. Resources are mainly intended to support observational research, although some can support experimental studies. There is considerable overlap of populations covered. While all resources are accessible to bona fide researchers, access mechanisms, costs, timescales, and other considerations vary across databases. Researchers are currently able to access primary care EHR data from several sources. Choice of data resource is likely to be driven by project needs and access considerations. The landscape of data resources based on primary care EHRs in the UK continues to evolve.
Sections du résumé
BACKGROUND
BACKGROUND
The range and scope of electronic health record (EHR) data assets in the UK has recently increased, which has been mainly in response to the COVID-19 pandemic. Summarising and comparing the large primary care resources will help researchers to choose the data resources most suited to their needs.
AIM
OBJECTIVE
To describe the current landscape of UK EHR databases and considerations of access and use of these resources relevant to researchers.
DESIGN & SETTING
METHODS
Narrative review of EHR databases in the UK.
METHOD
METHODS
Information was collected from the Health Data Research Innovation Gateway, publicly available websites and other published data, and from key informants. The eligibility criteria were population-based open-access databases sampling EHRs across the whole population of one or more countries in the UK. Published database characteristics were extracted and summarised, and these were corroborated with resource providers. Results were synthesised narratively.
RESULTS
RESULTS
Nine large national primary care EHR data resources were identified and summarised. These resources are enhanced by linkage to other administrative data to a varying extent. Resources are mainly intended to support observational research, although some can support experimental studies. There is considerable overlap of populations covered. While all resources are accessible to bona fide researchers, access mechanisms, costs, timescales, and other considerations vary across databases.
CONCLUSION
CONCLUSIONS
Researchers are currently able to access primary care EHR data from several sources. Choice of data resource is likely to be driven by project needs and access considerations. The landscape of data resources based on primary care EHRs in the UK continues to evolve.
Identifiants
pubmed: 37429634
pii: BJGPO.2023.0057
doi: 10.3399/BJGPO.2023.0057
pmc: PMC10646196
pii:
doi:
Types de publication
Journal Article
Langues
eng
Informations de copyright
Copyright © 2023, The Authors.
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