Evidence map›Paper›PMID 41005791›Full record

ArticleBMJ open quality2025

Management and governance of medication prescribing alerts among hospitals in Japan: a nationwide survey.

Noriyuki Nakayama, Makiko Takizawa, Yuko Ohishi, Yasuhiro Komatsu, Kazumi Tanaka

Abstract read
In one paragraph

Article in BMJ open quality, 2025. 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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1 · What the graph read from it

What it found

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2 · The registry

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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

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Noriyuki NakayamaDepartment of Healthcare Quality and Safety, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.ORCID 0009-0005-0033-9949
Makiko TakizawaDepartment of Healthcare Quality and Safety, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan takizawm@saitama-med.ac.jp kazumin@gunma-u.ac.jp.ORCID 0000-0002-2806-0297
Yuko OhishiDepartment of Healthcare Quality and Safety, Gunma University Hospital, Maebashi, Gunma, Japan.ORCID 0009-0008-3369-317X
Yasuhiro KomatsuDepartment of Healthcare Quality and Safety, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.ORCID 0000-0003-1164-0102
Kazumi TanakaDepartment of Healthcare Quality and Safety, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan takizawm@saitama-med.ac.jp kazumin@gunma-u.ac.jp.ORCID 0000-0002-7095-2248

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective medication prescribing alerts are crucial for ensuring medication safety. However, the frequent occurrence of low-specificity alerts contributes to alert fatigue, where repeated non-critical alerts diminish clinicians' responsiveness to all alerts. Striking a balance between reducing alert fatigue and ensuring the effective functioning of critical alerts remains a key challenge in medication safety. Nevertheless, no nationwide surveys or reports from government bodies or academic societies have addressed alert management. Therefore, this study aimed to investigate the current landscape of alert management systems, clarify existing challenges in managing medication prescribing alerts and support the development of policies.

methodsWe conducted a nationwide survey to examine how medication prescribing alert systems are managed in Japanese hospitals. Hospitals recognised for maintaining high standards in patient safety were selected to provide insights into current alert management practices. Survey invitation letters were sent to the healthcare information systems departments of the eligible hospitals. Participants were asked to complete the survey through a web-based form (Google Forms) or by mail. Data collection took place between December 2021 and January 2022.

resultsQuestionnaires were sent to 1055 hospitals, with responses received from 259 (response rate of 24.5%). A total of 110 (42.6%) hospitals reported being unaware of all types of medication prescribing alerts. Many hospitals reported an inability to measure alert data. Only 42 (16.3%) hospitals had established policies and procedures for adding new alerts.

conclusionsOnly a few hospitals have a system for the quantitative evaluation and comprehensive control of medication prescribing alerts. Each hospital should implement a policy and procedure for alert management and develop an alert data measuring system.

Indexed as

Drug PrescriptionsHospitalsMedical Order Entry SystemsHumansJapanMedication ErrorsSurveys and QuestionnairesGovernanceInformation technologyManagementMedication safetyPatient safety

Identifiers

PMID41005791
PMCPMC12481346

What OpenQuestion holds

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LicenceCC BY-NC
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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.