Evidence map›Paper›PMID 34296384›Full record

ReviewDrug safety2021

Use of Primary Care Data in Research and Pharmacovigilance: Eight Scenarios Where Prescription Data are Absent.

Grace N Okoli, Puja Myles, Tarita Murray-Thomas, Hilary Shepherd, Ian C K Wong, Duncan Edwards

Abstract readReview
In one paragraph

Review in Drug safety, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Grace N OkoliCentre for Primary Care and Mental Health, Institute of Population Health Sciences, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Yvonne Carter Building, 58 Turner Street, London, E1 2AB, UK. g.okoli@qmul.ac.uk.ORCID 0000-0002-1740-4058
Puja MylesClinical Practice Research Datalink, Medicines and Healthcare Products Regulatory Agency, London, UK.ORCID 0000-0002-8976-890X
Tarita Murray-ThomasClinical Practice Research Datalink, Medicines and Healthcare Products Regulatory Agency, London, UK.
Hilary ShepherdClinical Practice Research Datalink, Medicines and Healthcare Products Regulatory Agency, London, UK.ORCID 0000-0001-7794-4155
Ian C K WongResearch Department of Practice and Policy, Centre for Medicines Optimisation Research and Education (CMORE), School of Pharmacy, University College London, London, UK.ORCID 0000-0001-8242-0014
Duncan EdwardsDepartment of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, London, UK.ORCID 0000-0003-1500-2108

Funding

Department of Health
6 · The paper itself

Abstract

The use of primary care databases has been integral in pharmacoepidemiological studies and pharmacovigilance. Primary care databases derive from electronic health records and offer a comprehensive description of aggregate patient data, from demography to medication history, and good sample sizes. Studies using these databases improve our understanding of prescribing characteristics and associated risk factors to facilitate better patient care, but there are limitations. We describe eight key scenarios where study data outcomes can be affected by absent prescriptions in UK primary care databases: (1) out-of-hours, urgent care and acute care prescriptions; (2) specialist-only prescriptions; (3) alternative community prescribing, such as pharmacy, family planning clinic or sexual health clinic medication prescriptions; (4) newly licensed medication prescriptions; (5) medications that do not require prescriptions; (6) hospital inpatient and outpatient prescriptions; (7) handwritten prescriptions; and (8) private pharmacy and private doctor prescriptions. The significance of each scenario is dependent on the type of medication under investigation, nature of the study and expected outcome measures. We recommend that all researchers using primary care databases be aware of the potential for missing prescribing data and be sensitive to how this can vary substantially between items, drug classes, patient groups and over time. Close liaison with practising primary care clinicians in the UK is often essential to ensure awareness of nuances in clinical practice.

Indexed as

Electronic PrescribingPharmacovigilanceAmbulatory CareDrug PrescriptionsHumansPrimary Health Care

Identifiers

PMID34296384
PMCPMC8297607

What OpenQuestion holds

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Registered trials

None linked

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.