ArticleBMJ open2018
Perceptions of the uses of routine general practice data beyond individual care in England: a qualitative study.
Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
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Who cites it
6 citing papers in PubMed.
- Towards best practice recommendations: Perspectives from Australian GPs to inform the use of general practice data for research - A modified Delphi study.The European journal of general practice · 2026Article
- Unlocking insights: general practice staff perspectives on sharing general practice data for research - a scoping review.BMC primary care · 2025Article
- Placing conditions on sharing general practice data for research: Recommendations from two community juries.International journal of population data science · 2025Article
- Community views on the secondary use of general practice data: Findings from a mixed-methods study.Health expectations : an international journal of public participation in health care and health policy · 2024Article
- The usage of data in NHS primary care commissioning: a realist review.BMC medicine · 2023Review
- A review of attitudes towards the reuse of health data among people in the European Union: The primacy of purpose and the common good.Health policy (Amsterdam, Netherlands) · 2019Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate how different lay and professional groups perceive and understand the use of routinely collected general practice patient data for research, public health, service evaluation and commissioning. DESIGN, METHOD, PARTICIPANTS AND
settingWe conducted a multimethod, qualitative study. This entailed participant observation of the design and delivery of a series of deliberative engagement events about a local patient database made of routine primary care data. We also completed semistructured interviews with key professionals involved in the database. Qualitative data were thematically analysed. The research took place in an inner city borough in England.
resultsOf the community groups who participated in the six engagement events (111 individual citizens), five were health focused. It was difficult to recruit other types of organisations. Participants supported the uses of the database, but it was unclear how well they understood its scope and purpose. They had concerns about transparency, security and the potential misuse of data. Overall, they were more focused on the need for immediate investment in primary care capacity than data infrastructures to improve future health. The 10 interviewed professionals identified the purpose of the database in different ways, according to their interests. They emphasised the promise of the database as a resource in health research in its own right and in linking it to other datasets.
conclusionsFindings demonstrate positivity to the uses of this local database, but a disconnect between the long-term purposes of the database and participants' short-term priorities for healthcare quality. Varying understandings of the database and the potential for it to be used in multiple different ways in the future cement a need for systematic and routine public engagement to develop and maintain public awareness. Problems recruiting community groups signal a need to consider how we engage wider audiences more effectively.
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Registered trials
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.