ArticlePragmatic and observational research2023
Data-Resource Profile: United Kingdom Optimum Patient Care Research Database.
Article in Pragmatic and observational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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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
20 citing papers in PubMed.
- Prevalence of type 2 multimorbidities in COPD compared to asthma and relationship to blood eosinophilic counts.ERJ open research · 2026Article
- Systematic mapping of rare genetic disease studies using UK primary care electronic health records.European journal of human genetics : EJHG · 2026Review
- Article
- Patient-reported outcome and experience measures in primary care: a scoping review of systematic collection and use.BMC health services research · 2026Article
- Evaluating algorithmic approaches to rare disease case-finding: a retrospective validation study using electronic health records.Orphanet journal of rare diseases · 2026Article
- A Bayesian network for identifying causes of breathlessness using a national electronic medical records (EMR) database.Scientific reports · 2026Article
- Validity of Using Prescription Medications to Classify Disease - A Retrospective Observational Study Using Routinely Collected Electronic Health Records from the UK.Pragmatic and observational research · 2026Article
- Development and Internal Validation of a Prediction Model for Major Cardiovascular and Respiratory Events in Chronic Obstructive Pulmonary Disease: Nationwide Primary Care Electronic Medical Records Cohort Study.Pragmatic and observational research · 2026Article
- Article
- Data Transformation to Advance AI/ML Research and Implementation in Primary Care.Annals of family medicine · 2025Article
- Incidence and survival of interstitial lung diseases in the UK in 2010-2019.ERJ open research · 2025Article
- Predicting Risk of Morbidities Associated with Oral Corticosteroid Prescription for Asthma.Pragmatic and observational research · 2025Article
- Association of Frequent Short-Acting Beta-Agonist Inhaler Prescriptions with Acute Cardiovascular Events.Pragmatic and observational research · 2025Article
- A machine learning algorithm for the detection of paroxysmal nocturnal haemoglobinuria (PNH) in UK primary care electronic health records.Orphanet journal of rare diseases · 2024Article
- Exacerbation history and blood eosinophil count prior to diagnosis of COPD and risk of subsequent exacerbations.The European respiratory journal · 2024Article
- Children and Young Adults With Inflammatory Bowel Disease Have an Increased Incidence and Risk of Developing Mental Health Conditions: A UK Population-Based Cohort Study.Inflammatory bowel diseases · 2024Observational
- The Diagnostic Odyssey in Children and Adolescents With X-linked Hypophosphatemia: Population-Based, Case-Control Study.The Journal of clinical endocrinology and metabolism · 2024Article
- Big Data Research on Severe Asthma.Tuberculosis and respiratory diseases · 2024Article
- Impact of mental health comorbidity in children and young adults with inflammatory bowel disease: a UK population-based cohort study.BMJ open · 2024Observational
- Budesonide/Glycopyrrolate/Formoterol for the Management of COPD in a UK Primary Care Population: Real-World Use and Early Medication Success.International journal of chronic obstructive pulmonary disease · 2024Observational
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Electronic medical records (EMRs) maintained in primary care in the UK and collected and stored in EMR databases offer a world-leading resource for observational clinical research. We aimed to profile one such database: the Optimum Patient Care Research Database (OPCRD). Methods and Participants: The OPCRD, incepted in 2010, is a growing primary care EMR database collecting data from 992 general practices within the UK. It covers over 16.6 million patients across all four countries within the UK, and is broadly representative of the UK population in terms of age, sex, ethnicity and socio-economic status. Patients have a mean duration of 11.7 years' follow-up (SD 17.50), with a majority having key summary data from birth to last data entry. Data for the OPCRD are collected incrementally monthly and extracted from all of the major clinical software systems used within the UK and across all four coding systems (Read version 2, Read CTV3, SNOMED DM+D and SNOMED CT codes). Via quality-improvement programmes provided to GP surgeries, the OPCRD also includes patient-reported outcomes from a range of disease-specific validated questionnaires, with over 66,000 patient responses on asthma, COPD, and COVID-19. Further, bespoke data collection is possible by working with GPs to collect new research via patient-reported questionnaires. Findings to Date: The OPCRD has contributed to over 96 peer-reviewed research publications since its inception encompassing a broad range of medical conditions, including COVID-19. Conclusion: The OPCRD represents a unique resource with great potential to support epidemiological research, from retrospective observational studies through to embedded cluster-randomised trials. Advantages of the OPCRD over other EMR databases are its large size, UK-wide geographical coverage, the availability of up-to-date patient data from all major GP software systems, and the unique collection of patient-reported information on respiratory health.
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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.