Evidence map›Paper›PMID 29476029›Full record

ArticleBMJ open2018

OpenPrescribing: normalised data and software tool to research trends in English NHS primary care prescribing 1998-2016.

Helen J Curtis, Ben Goldacre

Abstract read
In one paragraph

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 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
–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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. Socioeconomic Deprivation and Opioid Consumption: An Analysis Across England.International journal of environmental research and public health · 2025
    Review
  7. Observational
  8. Article
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  11. Private prescribing of controlled opioids in England, 2014-2021: a retrospective observational study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024
    Observational
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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

2 authors.

Helen J CurtisEvidence Based Medicine DataLab, Centre for Evidence Based Medicine, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Ben GoldacreEvidence Based Medicine DataLab, Centre for Evidence Based Medicine, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectivesWe aimed to compile and normalise England's national prescribing data for 1998-2016 to facilitate research on long-term time trends and create an open-data exploration tool for wider use.

designWe compiled data from each individual year's national statistical publications and normalised them by mapping each drug to its current classification within the national formulary where possible. We created a freely accessible, interactive web tool to allow anyone to interact with the processed data. SETTING AND

participantsWe downloaded all available annual prescription cost analysis datasets, which include cost and quantity for all prescription items dispensed in the community in England. Medical devices and appliances were excluded. PRIMARY AND SECONDARY OUTCOME MEASURES: We measured the extent of normalisation of data and aimed to produce a functioning accessible analysis tool.

resultsAll data were imported successfully. 87.5% of drugs were matched exactly on name to the current formulary and a further 6.5% to similar drug names. All drugs in core clinical chapters were reconciled to their current location in the data schema, with only 1.26% of drugs not assigned a current chemical code. We created an openly accessible interactive tool to facilitate wider use of these data.

conclusionsPublicly available data can be made accessible through interactive online tools to help researchers and policy-makers explore time trends in prescribing.

Indexed as

Cost SavingsInternetSoftwareDrug CostsDrug PrescriptionsDrugs, GenericHumansPrimary Health CareState MedicineUnited KingdomDrugs, Genericnational health service (nhs)prescribingprimary care

Identifiers

PMID29476029
PMCPMC5855401

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.