ArticleNPJ primary care respiratory medicine2018
Recruitment of patients with Chronic Obstructive Pulmonary Disease (COPD) from the Clinical Practice Research Datalink (CPRD) for research.
Article in NPJ primary care respiratory medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Use of routine healthcare data in randomised implementation trials: a methodological mixed-methods systematic review.Implementation science : IS · 2023Pooled it
- Recruitment for a digitally based follow-up program for people with chronic obstructive pulmonary disease: a pilot cluster randomized controlled trial.Pilot and feasibility studies · 2026Article
- Resilience and health-related quality of life in patients with pulmonary diseases receiving ambulatory oxygen therapy - 24-month follow-up results.BMC pulmonary medicine · 2025Observational
- A machine learning framework for short-term prediction of chronic obstructive pulmonary disease exacerbations using personal air quality monitors and lifestyle data.Scientific reports · 2025Article
- Using routine primary care data in research: (in)efficient case studies and perspectives from the Asthma UK Centre for Applied Research.BMJ health & care informatics · 2025Article
- Air pollution and respiratory health in patients with COPD: should we focus on indoor or outdoor sources?Thorax · 2024Article
- Article
- Early detection of COPD patients' symptoms with personal environmental sensors: a remote sensing framework using probabilistic latent component analysis with linear dynamic systems.Neural computing & applications · 2023Article
- Risk of all-cause mortality or hospitalization for pneumonia associated with inhaled β2-agonists in patients with asthma, COPD or asthma-COPD overlap.Respiratory research · 2022Article
- Association between Inhaled βInternational journal of chronic obstructive pulmonary disease · 2022Article
- Personal exposure to air pollution and respiratory health of COPD patients in London.The European respiratory journal · 2021Article
- Review
- Resilience and health-related quality of life in patients with pulmonary diseases receiving ambulatory oxygen therapy.BMC pulmonary medicine · 2021Observational
- Feasibility of using Clinical Practice Research Datalink data to identify patients with chronic obstructive pulmonary disease to enrol into real-world trials.Pharmacoepidemiology and drug safety · 2021Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Databases of electronic health records (EHR) are not only a valuable source of data for health research but have also recently been used as a medium through which potential study participants can be screened, located and approached to take part in research. The aim was to assess whether it is feasible and practical to screen, locate and approach patients to take part in research through the Clinical Practice Research Datalink (CPRD). This is a cohort study in primary care. The CPRD anonymised EHR database was searched to screen patients with Chronic Obstructive Pulmonary Disease (COPD) to take part in a research study. The potential participants were contacted via their General Practitioner (GP) who confirmed their eligibility. Eighty two practices across Greater London were invited to the study. Twenty-six (31.7%) practices consented to participate resulting in a pre-screened list of 988 patients. Of these, 632 (63.7%) were confirmed as eligible following the GP review. Two hundred twenty seven (36%) response forms were received by the study team; 79 (34.8%) responded 'yes' (i.e., they wanted to be contacted by the research assistant for more information and to talk about enrolling in the study), and 148 (65.2%) declined participation. This study has shown that it is possible to use EHR databases such as CPRD to screen, locate and recruit participants for research. This method provides access to a cohort of patients while minimising input needed by GPs and allows researchers to examine healthcare usage and disease burden in more detail and in real-life settings.
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