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Using routine primary care data in research: (in)efficient case studies and perspectives from the Asthma UK Centre for Applied Research

Using routine primary care data in research: (in)efficient case studies and perspectives from the Asthma UK Centre for Applied Research
Using routine primary care data in research: (in)efficient case studies and perspectives from the Asthma UK Centre for Applied Research
Aim: we aimed to identify enablers and barriers of using primary care routine data for healthcare research, to formulate recommendations for improving efficiency in knowledge discovery.

Background: data recorded routinely in primary care can be used for estimating the impact of interventions provided within routine care for all people who are clinically eligible. Despite official promotion of ‘efficient trial designs’, anecdotally researchers in the Asthma UK Centre for Applied Research (AUKCAR) have encountered multiple barriers to accessing and using routine data.

Methods: using studies within the AUKCAR portfolio as exemplars, we captured limitations, barriers, successes, and strengths through correspondence and discussions with the principal investigators and project managers of the case studies.

Results: we identified 14 studies (8 trials, 2 developmental studies and 4 observational studies). Investigators agreed that using routine primary care data potentially offered a convenient collection of data for effectiveness outcomes, health economic assessment and process evaluation in one data extraction. However, this advantage was overshadowed by time-consuming processes that were major barriers to conducting efficient research. Common themes were multiple layers of information governance approvals in addition to the ethics and local governance approvals required by all health service research; lack of standardisation so that local approvals required diverse paperwork and reached conflicting conclusions as to whether a study should be approved. Practical consequences included a trial that over-recruited by 20% in order to randomise 144 practices with all required permissions, and a 5-year delay in reporting a trial while retrospectively applied regulations were satisfied to allow data linkage.

Conclusions: overcoming the substantial barriers of using routine primary care data will require a streamlined governance process, standardised understanding/application of regulations and adequate National Health Service IT (Information Technology) capability. Without policy-driven prioritisation of these changes, the potential of this valuable resource will not be leveraged.
Clinical Governance, Electronic Health Records, Medical Informatics, Patient Involvement, Primary Health Care
Tibble, Holly
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Alyami, Rami A.
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Bush, Andrew
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Cunningham, Steve
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Julious, Steven
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Price, David
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Quint, Jennifer K.
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Turner, Stephen
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Wang, Kay
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Wilson, Andrew
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Davies, Gwyneth A.
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Mukherjee, Mome
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Chan, Amy Hai Yan
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Varghese, Deepa
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Jackson, Tracy
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Morgan, Noelle
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Daines, Luke
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Pinnock, Hilary
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Tibble, Holly
cccb404a-3b97-4dc8-bc28-a143e6df47ba
Alyami, Rami A.
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Bush, Andrew
ea288e1f-bd13-4422-be1c-cac640edb239
Cunningham, Steve
b3254953-7c17-4039-a3c4-41dea6e784cf
Julious, Steven
f43c38eb-8aaa-4f4c-a770-a68bc2321360
Price, David
271b4c2a-b23f-4d90-b545-f1ad6ca04cf0
Quint, Jennifer K.
22800655-8987-4464-8385-7f08860c92f9
Turner, Stephen
a51d875a-66bb-4a18-b5b0-18ce3dc7d15c
Wang, Kay
35ab64db-e4d5-4b4b-9225-54c9bcc6d143
Wilson, Andrew
9059c685-12fd-45df-a5cd-ef4456a2fb04
Davies, Gwyneth A.
842455c0-70d8-4ea7-a87f-004f55e4a1bc
Mukherjee, Mome
b4383a34-269e-4d5d-a2f1-073dd8dd9766
Chan, Amy Hai Yan
6fb87a58-4467-4758-b716-138814458e9d
Varghese, Deepa
5d6c1936-32d8-4ce5-bdd0-7442dbeea454
Jackson, Tracy
a755f552-f445-4d62-9676-0405b59700d9
Morgan, Noelle
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Daines, Luke
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Pinnock, Hilary
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Tibble, Holly, Alyami, Rami A., Bush, Andrew, Cunningham, Steve, Julious, Steven, Price, David, Quint, Jennifer K., Turner, Stephen, Wang, Kay, Wilson, Andrew, Davies, Gwyneth A., Mukherjee, Mome, Chan, Amy Hai Yan, Varghese, Deepa, Jackson, Tracy, Morgan, Noelle, Daines, Luke and Pinnock, Hilary (2025) Using routine primary care data in research: (in)efficient case studies and perspectives from the Asthma UK Centre for Applied Research. BMJ Health and Care Informatics, 32 (1), [e101134]. (doi:10.1136/bmjhci-2024-101134).

Record type: Article

Abstract

Aim: we aimed to identify enablers and barriers of using primary care routine data for healthcare research, to formulate recommendations for improving efficiency in knowledge discovery.

Background: data recorded routinely in primary care can be used for estimating the impact of interventions provided within routine care for all people who are clinically eligible. Despite official promotion of ‘efficient trial designs’, anecdotally researchers in the Asthma UK Centre for Applied Research (AUKCAR) have encountered multiple barriers to accessing and using routine data.

Methods: using studies within the AUKCAR portfolio as exemplars, we captured limitations, barriers, successes, and strengths through correspondence and discussions with the principal investigators and project managers of the case studies.

Results: we identified 14 studies (8 trials, 2 developmental studies and 4 observational studies). Investigators agreed that using routine primary care data potentially offered a convenient collection of data for effectiveness outcomes, health economic assessment and process evaluation in one data extraction. However, this advantage was overshadowed by time-consuming processes that were major barriers to conducting efficient research. Common themes were multiple layers of information governance approvals in addition to the ethics and local governance approvals required by all health service research; lack of standardisation so that local approvals required diverse paperwork and reached conflicting conclusions as to whether a study should be approved. Practical consequences included a trial that over-recruited by 20% in order to randomise 144 practices with all required permissions, and a 5-year delay in reporting a trial while retrospectively applied regulations were satisfied to allow data linkage.

Conclusions: overcoming the substantial barriers of using routine primary care data will require a streamlined governance process, standardised understanding/application of regulations and adequate National Health Service IT (Information Technology) capability. Without policy-driven prioritisation of these changes, the potential of this valuable resource will not be leveraged.

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Tibble H et al. BMJ Health Care Informatics 2025
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More information

Accepted/In Press date: 22 November 2024
e-pub ahead of print date: 9 January 2025
Published date: 9 January 2025
Keywords: Clinical Governance, Electronic Health Records, Medical Informatics, Patient Involvement, Primary Health Care

Identifiers

Local EPrints ID: 500409
URI: http://eprints.soton.ac.uk/id/eprint/500409
PURE UUID: 001e2fea-d4b6-4959-85b9-bc05a18ce52d

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Date deposited: 29 Apr 2025 16:40
Last modified: 02 Sep 2025 16:45

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Contributors

Author: Holly Tibble
Author: Rami A. Alyami
Author: Andrew Bush
Author: Steve Cunningham
Author: Steven Julious
Author: David Price
Author: Jennifer K. Quint
Author: Stephen Turner
Author: Kay Wang
Author: Andrew Wilson
Author: Gwyneth A. Davies
Author: Mome Mukherjee
Author: Amy Hai Yan Chan
Author: Deepa Varghese
Author: Tracy Jackson
Author: Noelle Morgan
Author: Luke Daines
Author: Hilary Pinnock

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