Evidence map›Paper›PMID 31888758›Full record

ArticleBMC health services research2019

Prescribing errors in electronic prescriptions for outpatients intercepted by pharmacists and the impact of prescribing workload on error rate in a Chinese tertiary-care women and children's hospital.

Jian-Hui Yang, Yu-Fang Liao, Wu-Bin Lin, Wen Wu

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

14 citing papers in PubMed, 26 citations in OpenAlex.

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  7. Pharmacists' interventions on prescribing errors in Malaysia.Journal of pharmaceutical policy and practice · 2024
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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

4 authors at 1 institution in 1 country.

Jian-Hui YangDepartment of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, No. 10 Zhenhai Road, Xiamen, 361001, China. 814328154@qq.com.ORCID http://orcid.org/0000-0002-8710-1722
Yu-Fang LiaoDepartment of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, No. 10 Zhenhai Road, Xiamen, 361001, China.
Wu-Bin LinDepartment of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, No. 10 Zhenhai Road, Xiamen, 361001, China.
Wen WuDepartment of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, No. 10 Zhenhai Road, Xiamen, 361001, China.
Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrescribing errors may, influenced by some risk factors, cause adverse drug events. Most studies in this field focus on errors in prescriptions for hospital inpatients, with only a few on those for outpatients. Our study aimed to explore the incidence of prescribing errors in electronic prescriptions and illustrate the trend of prescribing workload and error rate over time.

methodsThe cross-section study was performed between September, 2015 and November, 2015. Prescribing errors were intercepted by pharmacists using a prescription reviewing system under which prescriptions with errors were transferred to a specific computer and recorded by another pharmacist and the incidence of total prescribing errors and severe errors was then calculated. A subgroup analysis was conducted in accordance to the number of drug orders, the age group of patients, the seniority of physicians, the specialty of physicians, the working day when prescriptions were issued, and the prescribing workload of physicians. A time-series analysis was employed to analyze the trend of prescribing workload and error rate, and the correlation between them.

resultsTotally, 65,407 patients were included in this study and 150,611 prescriptions with 294,564 drug orders (including 584 different drugs) were reviewed for identification of errors. A total of 534 prescribing errors (an error rate of 0.34%) were identified. Severe errors accounted for 13.62% of total errors. The subgroup analysis showed prescriptions of multiple drug orders, for pediatric patients aged 29 days to 12 years, from physicians specializing in ophthalmology and otorhinolaryngology, or prescribing on weekdays were more susceptible to errors. A time-series analysis demonstrated no correlation between prescribing workload and error rate which increased at the end of each working shift while prescribing workload decreased.

conclusionLess than 1% of the studied prescriptions came with errors among which one in seven were severe ones. But prescribing errors were in no relation to workloads. What's more, further studies are needed to investigate pharmacist-led intervention to reduce prescribing errors.

Indexed as

Ambulatory CarePharmacistsAdultChildChild, PreschoolChinaCross-Sectional StudiesElectronic PrescribingFemaleHospitals, PediatricHumansInfantInfant, NewbornMedication ErrorsPregnancyTertiary Care CentersChinaOutpatientsPharmacist-led interventionPrescribing errorsPrescribing workloadsSubgroup analysisTime-series analysis

Identifiers

PMID31888758
PMCPMC6936080
OpenAlexW2996966636

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.