Evidence map›Paper›PMID 40796625›Full record

ArticleScientific reports2025

Using failure mode and effects analysis for risk management of anesthetic and class I psychotropic drugs in inpatient pharmacy: a pilot study.

Lulu Zhang, Xiuling He, Yimeng Wang, Li Huang, Xiaoxia Du, Mingzhou Liu

Abstract read
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Article in Scientific reports, 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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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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lulu ZhangDepartment of Pharmacy, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, Henan, China. zhanglulu851115@zzu.edu.cn.
Xiuling HeDepartment of Pharmacy, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, Henan, China.
Yimeng WangDepartment of Pharmacy, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, Henan, China.
Li HuangDepartment of Pharmacy, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, Henan, China.
Xiaoxia DuDepartment of Pharmacy, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, Henan, China.
Mingzhou LiuDepartment of Pharmacy, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In China, anesthetic drugs and class I psychotropic drugs are among the most stringently managed special medications within medical institutions. In this study, we aimed to use Failure Mode and Effects Analysis (FMEA) to conduct a proactive risk assessment of management models for these drugs, addressing their unique management requirements. We established a multidisciplinary team and identified five main stages of the process. Each stage was divided into micro-activities to identify potential failure modes and their possible consequences. A risk priority number for each failure mode was calculated. The management of anesthetic drugs and class I psychotropic drugs in inpatient pharmacy revealed 15 types of failure modes, with Risk Priority Numbers (RPN) ranging from 4.21 to 38.09. The very high-/high-priority errors identified included two key categories with specific quantitative risks: (1) Patients' inability to receive medications in a timely manner (2) Discrepancies between empty ampule collection and dispensing quantities. The latter category posed significant management risks, as evidenced by RPN values exceeding 30, which indicated a high likelihood of regulatory non-compliance and increased circulation vulnerabilities. FMEA proved effective in identifying key vulnerabilities in the management of anesthetic and Class I psychotropic drugs. These findings can guide the development of a targeted information management system that will leverage modern digital tools to improve drug compliance and patient safety.

Indexed as

AnestheticsHealthcare Failure Mode and Effect AnalysisPsychotropic DrugsRisk ManagementChinaHumansInpatientsMedication ErrorsPilot ProjectsRisk AssessmentAnestheticsPsychotropic DrugsAnesthetic drugs and class i psychotropic drugsFailure mode and effects analysisInformation managementMedical institutions

Identifiers

PMID40796625
PMCPMC12343818

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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.