Evidence map›Paper›PMID 28643030›Full record

ArticleEuropean journal of clinical pharmacology2017

Hospital electronic prescribing system implementation impact on discharge information communication and prescribing errors: a before and after study.

Pamela Ruth Mills, Anita Elaine Weidmann, Derek Stewart

Abstract read
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Article in European journal of clinical pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 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, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Digital health in chronic obstructive pulmonary disease.Chronic diseases and translational medicine · 2023
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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

3 authors.

Pamela Ruth MillsUniversity Hospital Crosshouse, Pharmacy Department, Kilmarnock, Ayrshire, KA2 OBE, Scotland, UK. pamela.mills@aaaht.scot.nhs.uk.ORCID http://orcid.org/0000-0002-6165-9197
Anita Elaine WeidmannSchool of Pharmacy and Life Sciences, Robert Gordon University, Aberdeen, AB10 7GJ, Scotland, UK.
Derek StewartSchool of Pharmacy and Life Sciences, Robert Gordon University, Aberdeen, AB10 7GJ, Scotland, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe study aimed to test the hypothesis that hospital electronic prescribing and medicine administration system (HEPMA) implementation impacted patient discharge letter quality, nature and frequency of prescribing errors.

methodA quasi experimental before and after retrospective case note review was conducted in one United Kingdom district general hospital. The total sample size was 318 (random samples of 159 before and after implementation), calculated to achieve a 10% error reduction with a power of 80% and p < 0.05. Adult patients discharged after ≥24-h inpatient stay were assessed for discharge information documentation quality using a modified validated discharge document template. Prescribing errors were classified as medicine omissions, commissions, incorrect dose/frequency/duration, drug interactions, therapeutic duplications or missing/inaccurate allergy information. Post-implementation assessments were undertaken 4 months following HEPMA implementation. Error severity was determined by a multidisciplinary panel consensus using the Medications at Transitions and Clinical Handoffs (MATCH) study validated scoring system.

resultsThere were no statistically significant differences in patient demographics between the pre- and post-implementation groups. Discharge information documentation quality improved; allergy documentation increased from 11 to 159/159 (p < 0.0001). The number of patients with prescribing errors reduced significantly from 158 to 37/159 (p < 0.001). Prescribing error category incidence identified in pre-implementation patients was reduced (e.g. omission incidence from 66 to 18/159 (p < 0.001)), although a new error type (sociotechnical [errors caused by the system]) was identified post-implementation (n = 8 patients). Post-implementation prescribing errors severity rating identified 8/37 as likely to cause potential patient harm.

conclusionHEPMA implementation was associated with improved discharge documentation quality, statistically significant prescribing error reduction and prescribing error type alteration. There remains a need to be alert for potential prescribing errors.

Indexed as

Drug PrescriptionsElectronic PrescribingHospitals, TeachingHumansMedical RecordsMedication ErrorsPatient DischargeRetrospective StudiesUnited KingdomHEPMAPrescribing errorSociotechnical error

Identifiers

PMID28643030
PMCPMC5599458

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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.