Evidence map›Paper›PMID 38531659›Full record

ArticleBMJ quality & safety2024

Estimating the impact on patient safety of enabling the digital transfer of patients' prescription information in the English NHS.

Elizabeth M Camacho, Sean Gavan, Richard Neil Keers, Antony Chuter, Rachel Ann Elliott

Abstract read
In one paragraph

Article in BMJ quality & safety, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

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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

5 authors.

Elizabeth M CamachoManchester Centre for Health Economics, School of Health Sciences, University of Manchester, Manchester, UK.ORCID 0000-0001-9574-7710
Sean GavanManchester Centre for Health Economics, School of Health Sciences, University of Manchester, Manchester, UK.
Richard Neil KeersManchester Pharmacy School, University of Manchester, Manchester, UK.ORCID 0000-0001-7854-8154
Antony ChuterLay Patient, Uckfield, UK.ORCID 0000-0002-0646-5939
Rachel Ann ElliottManchester Centre for Health Economics, School of Health Sciences, University of Manchester, Manchester, UK rachel.a.elliott@manchester.ac.uk.ORCID 0000-0002-3650-0168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate the number and burden of medication errors associated with prescription information transfer within the National Health Service (NHS) in England and the impact of implementing an interoperable prescription information system (a single digital prescribing record shared across NHS settings) in reducing these errors.

methodsWe constructed a probabilistic mathematical model. We estimated the number of transition medication errors that would be undetected by standard medicines reconciliation, based on published literature, and scaled this up based on the annual number of hospital admissions. We used published literature to estimate the proportion of errors that lead to harm and applied this to the number of errors to estimate the associated burden (healthcare resource use and deaths). Finally, we used reported effect sizes for electronic prescription information sharing interventions to estimate the impact of implementing an interoperable prescription information system on number of errors and resulting harm.

resultsAnnually, around 1.8 million (95% credibility interval (CrI) 1.3 to 2.6 million) medication errors were estimated to occur at hospital transitions in England, affecting approximately 380 000 (95% CrI 260 397 to 539 876) patient episodes. Harm from these errors affects around 31 500 (95% CrI 22 407 to 42 906) patients, with 36 500 (95% CrI 25 093 to 52 019) additional bed days of inpatient care (costing around £17.8 million (95% CrI £12.4 to £24.9 million)) and >40 (95% CrI 9 to 146) deaths. Assuming the implementation of an interoperable prescription information system could reduce errors by 10% and 50%, there could be 180 000-913 000 fewer errors, 3000-15 800 fewer people who experience harm and 4-22 lives saved annually.

conclusionsAn interoperable prescription information system could provide major benefits for patient safety. Likely additional benefits include healthcare professional time saved, improved patient experience and care quality, quicker discharge and enhanced cross-organisational medicines optimisation. Our findings provide vital safety and economic evidence for the case to adopt interoperable prescription information systems.

Indexed as

Medication ErrorsPatient SafetyState MedicineElectronic PrescribingEnglandHumansMedication Reconciliationinformation technologymedication reconciliationpatient safetytransitions in care

Identifiers

PMID38531659
PMCPMC11503046

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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.