Evidence map›Paper›PMID 35523537›Full record

ArticleEuropean journal of hospital pharmacy : science and practice2024

Development and implementation of medication-related clinical rules for obstetrics, gynaecology, and paediatric outpatients.

Quanyao Chen, Luwei Wang, Min Lin, Weida Chen, Wen Wu, Yao Chen

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Article in European journal of hospital pharmacy : science and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing 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

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Quanyao Chen *Department of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.ORCID 0000-0003-4408-2565
Luwei Wang *Department of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Min LinDepartment of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Weida ChenDepartment of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Wen WuDepartment of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Yao ChenDepartment of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China chenyaoxm@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPrescription errors can cause serious adverse drug events. Clinical decision support systems prevent prescription errors; however, real-time clinical rules in obstetrics, gynaecology, and paediatric outpatients remain unexplored. We evaluated the effects of localised, real-time clinical rules on alert rates and acceptance rates compared with manual prescription review.

methodsWe developed real-time clinical rules that incorporate information systems to obtain characteristic information and laboratory values. We conducted a retrospective cohort study to compare the alert and recommendation acceptance rates of all prescription error types before and after clinical rule implementation in obstetrics, gynaecology, and paediatrics. Clinical rules, prescription error types, and alerts were determined by a prescribing review committee comprising physicians, pharmacists, nurses, and administrators. The difference in alert and acceptance rates between the groups was analysed using relative risk.

resultsThe number of alerts increased after clinical rules implementation; the number of on-duty pharmacists for review decreased from 10 to 2. Compared with those with manual review, the alert rates for paediatrics and obstetrics and gynaecology increased with the clinical rules by 3.97- and 11.26-fold, respectively, and the alert rates for drug-drug interactions (DDIs) and combined medication errors in obstetrics and gynaecology increased with the clinical rules by 26.10- and 26.54-fold, respectively. In paediatrics, the alert rate for all prescription error types was higher with the clinical rules review than with the manual review; the alert rates for DDI, dosage, and combination medication errors were significantly different between the clinical rules and the manual review. However, there was no difference in the recommendation acceptance rate between the manual review and the clinical rules.

conclusionsClinical rules can identify prescription errors that manual review cannot detect and ensure real-time review efficiency in high-volume outpatient prescription settings. The high acceptance rate and modification of prescriptions may be relevant to highly customised and localised clinical rules.

Indexed as

Drug-Related Side Effects and Adverse ReactionsGynecologyChildHumansMedication ErrorsOutpatientsRetrospective StudiesAutomationDrug Administration RoutesMEDICAL ERRORSMEDICATION SYSTEMS, HOSPITALPHARMACY SERVICE, HOSPITALQuality Assurance, Health CareQuality of Health CareSafety

Identifiers

PMID35523537
PMCPMC10895191

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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.