Evidence map›Paper›PMID 38886099›Full record

ArticleBMJ open quality2024

Secondary uses of electronic prescribing and pharmacy data in UK hospital care: a national survey.

Navila Talib Chaudhry, Jonathan Benn, Bryony Dean Franklin

Abstract read
In one paragraph

Article in BMJ open quality, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Navila Talib ChaudhryResearch Department of Practice and Policy, UCL School of Pharmacy, London, UK n.chaudhry@ucl.ac.uk.ORCID 0009-0009-5101-2363
Jonathan BennNIHR Yorkshire and Humber Patient Safety Research Collaboration, School of Psychology, University of Leeds, Leeds, UK.
Bryony Dean FranklinResearch Department of Practice and Policy, UCL School of Pharmacy, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic hospital pharmacy (EHP) systems are ubiquitous in today's hospitals, with many also implementing electronic prescribing (EP) systems; both contain a potential wealth of medication-related data to support quality improvement. The reasons for reuse and users of this data are generally unknown. Our objectives were to survey secondary use of data (SUD) from EHP and EP systems in UK hospitals, to identify users of and factors influencing SUD.A national postal survey was sent out to all hospital chief pharmacists with pre-notifications and follow-up reminders. Descriptive statistical analysis was performed.Of 187 hospital organisations, 65 (35%) responded. All had EHP systems (for ≥20 years) and all reused data; 50 (77%) had EP systems (established 1-10 years) but only 40 (80%) reused data. Reported facilitators for SUD included medication safety, providing feedback, benchmarking, saving time and patient experience. The purposes of SUD included audits, quality improvement, risk management and general medication-related reporting. Earlier introduction of SUD could provide an opportunity to heighten local improvement initiatives.Data from EHP systems is reused for multiple purposes. Evaluating SUD and sharing experiences could provide richer insight into potential SUD and barriers/factors to consider when implementing or upgrading EP/EHP systems.

Indexed as

Electronic PrescribingPharmacy Service, HospitalHumansQuality ImprovementSurveys and QuestionnairesUnited KingdomElectronic Health RecordsElectronic PrescribingHealthcare quality improvementQuality improvementSurveys

Identifiers

PMID38886099
PMCPMC11184197

What OpenQuestion holds

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LicenceCC BY-NC
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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.