SynthesisBMC medical informatics and decision making2017
Factors influencing the development of primary care data collection projects from electronic health records: a systematic review of the literature.
Synthesis in BMC medical informatics and decision making, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Pooled it
- Routine Health Information Systems in the European Context: A Systematic Review of Systematic Reviews.International journal of environmental research and public health · 2021Pooled it
- Pooled it
- Unlocking insights: general practice staff perspectives on sharing general practice data for research - a scoping review.BMC primary care · 2025Article
- Data resource profile: the Intego-II primary care database.International journal of epidemiology · 2025Article
- The Primary Care Medical Record Industry in Canada and Its Data Collection and Commercialization Practices.JAMA network open · 2025Article
- Advancing Pancreatic Cancer Prediction with a Next Visit Token Prediction Head on Top of Med-BERT.Cancers · 2025Article
- Transforming Primary Care Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study.JMIR medical informatics · 2024Article
- Article
- Feasibility and perceptions of a benzodiazepine deprescribing quality improvement initiative for primary care providers in Japan.BMC primary care · 2024Article
- Toward a stable and low-resource PLM-based medical diagnostic system via prompt tuning and MoE structure.Scientific reports · 2023Article
- [BeoNet-Halle-development of a multifunctional database for the automated extraction of healthcare data from general practitioner and specialist practices].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2023Review
- Agreement of acute serious events recorded across datasets using linked Australian general practice, hospital, emergency department and death data: implications for research and surveillance.International journal of population data science · 2023Article
- Commercializing Personal Health Information: A Critical Qualitative Content Analysis of Documents Describing Proprietary Primary Care Databases in Canada.International journal of health policy and management · 2023Article
- Electronic Health Records and Antimicrobial Stewardship Research: a Narrative Review.Current epidemiology reports · 2022Review
- Evaluating the accuracy of data extracted from electronic health records into MedicineInsight, a national Australian general practice database.International journal of population data science · 2022Article
- A systematic review of risk stratification tools internationally used in primary care settings.Health science reports · 2021Review
- Challenges to implementing electronic trial data collection in primary care: a qualitative study.BMC family practice · 2021Article
- Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction.NPJ digital medicine · 2021Article
- Identifying cases of spinal cord injury or disease in a primary care electronic medical record database.The journal of spinal cord medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrimary care data gathered from Electronic Health Records are of the utmost interest considering the essential role of general practitioners (GPs) as coordinators of patient care. These data represent the synthesis of the patient history and also give a comprehensive picture of the population health status. Nevertheless, discrepancies between countries exist concerning routine data collection projects. Therefore, we wanted to identify elements that influence the development and durability of such projects.
methodsA systematic review was conducted using the PubMed database to identify worldwide current primary care data collection projects. The gray literature was also searched via official project websites and their contact person was emailed to obtain information on the project managers. Data were retrieved from the included studies using a standardized form, screening four aspects: projects features, technological infrastructure, GPs' roles, data collection network organization.
resultsThe literature search allowed identifying 36 routine data collection networks, mostly in English-speaking countries: CPRD and THIN in the United Kingdom, the Veterans Health Administration project in the United States, EMRALD and CPCSSN in Canada. These projects had in common the use of technical facilities that range from extraction tools to comprehensive computing platforms. Moreover, GPs initiated the extraction process and benefited from incentives for their participation. Finally, analysis of the literature data highlighted that governmental services, academic institutions, including departments of general practice, and software companies, are pivotal for the promotion and durability of primary care data collection projects.
conclusionSolid technical facilities and strong academic and governmental support are required for promoting and supporting long-term and wide-range primary care data collection projects.
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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.