Evidence map›Paper›PMID 38949450›Full record

ArticleSouth African family practice : official journal of the South African Academy of Family Practice/Primary Care2024

Hybrid electronic record: An error reduction strategy for diverse medical prescription formats.

Carl-Heinz Kruse, Michelle T D Smith, Damian L Clarke

Abstract read
In one paragraph

Article in South African family practice : official journal of the South African Academy of Family Practice/Primary Care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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.

Carl-Heinz KruseDepartment of Ophthalmology, School of Clinical Medicine, University of KwaZulu-Natal, Durban. ruraleye@gmail.com.
Michelle T D Smith
Damian L Clarke

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis project is part of a broader effort to develop a new electronic registry for ophthalmology in the KwaZulu-Natal (KZN) province in South Africa. The registry should include a clinical decision support system that reduces the potential for human error and should be applicable for our diversity of hospitals, whether electronic health record (EHR) or paper-based.

methodsPost-operative prescriptions of consecutive cataract surgery discharges were included for 2019 and 2020. Comparisons were facilitated by the four chosen state hospitals in KZN each having a different system for prescribing medications: Electronic, tick sheet, ink stamp and handwritten health records. Error types were compared to hospital systems to identify easily-correctable errors. Potential error remedies were sought by a four-step process.

resultsThere were 1307 individual errors in 1661 prescriptions, categorised into 20 error types. Increasing levels of technology did not decrease error rates but did decrease the variety of error types. High technology scripts had the most errors but when easily correctable errors were removed, EHRs had the lowest error rates and handwritten the highest.

conclusionIncreasing technology, by itself, does not seem to reduce prescription error. Technology does, however, seem to decrease the variability of potential error types, which make many of the errors simpler to correct.Contribution: Regular audits are an effective tool to greatly reduce prescription errors, and the higher the technology level, the more effective these audit interventions become. This advantage can be transferred to paper-based notes by utilising a hybrid electronic registry to print the formal medical record.

Indexed as

Electronic Health RecordsMedication ErrorsCataract ExtractionDecision Support Systems, ClinicalDrug PrescriptionsHumansRegistriesSouth Africaelectronic health recordelectronic medical recorderror ratehandwrittenhuman errormedicationprescribingprescription

Identifiers

PMID38949450
PMCPMC11219556

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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.