Evidence map›Paper›PMID 40264504›Full record

ArticleRisk management and healthcare policy2025

Exploring the Correlation Between Patient Safety Culture and Adverse Medical Events Using Failure Mode and Effect Analysis (FMEA).

Yang Cui, Yu Wang, He Liu, Shaojie Xu, Xue Zhang

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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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

Who cites it

4 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.

Yang Cui *Department Medical Affairs, Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Yu Wang *Department of Respiratory Medicine, Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
He LiuDepartment Medical Affairs, The Second Affiliated Hospital of Qiqihar Medical College, Qiqihar, Heilongjiang, People's Republic of China.
Shaojie XuDepartment of Human Resources, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Xue ZhangThe School of Humanities and Social Sciences, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to explore the correlation between medical safety adverse events and patient safety culture through the lens of Failure Mode and Effect Analysis (FMEA). Methods: Sixty patients from a hospital were selected as the research subjects, alongside 440 medical staff members (including clinical, medical technology, and management personnel) who participated in the study. The general demographic characteristics of medical staff, patient safety culture, and adverse medical safety events were investigated. FMEA was employed to analyze the relationship between medical safety adverse events and patient safety culture, using the risk priority number (RPN) as a key metric. Results: A comparison of RPN values before and after FMEA intervention revealed that the RPN values of each failure mode significantly decreased post-intervention. Correlation analysis showed significant relationships between medication errors and several factors: "incident reporting frequency" (OR=0.706), "manager expectations and actions to promote patient safety" (OR=0.733), and "management support for patient safety" (OR=0.755). Pressure ulcers were significantly correlated with "manager expectations and actions to promote patient safety" (OR=0.729) and "shift and transfer" (OR=0.707). Falls were notably associated with "interdepartmental cooperation" (OR=0.735), "feedback and communication about errors" (OR=0.756), and "shift and transfer" (OR=0.660). Additionally, a strong correlation was identified between adverse events and "management support for patient safety" (OR=0.701). Conclusion: Utilizing FMEA to analyze the correlation between medical safety adverse events and patient safety culture is effective in identifying specific dimensions of these events related to safety culture. This enables the development of targeted interventions to mitigate adverse events and enhance patient safety.

Indexed as

correlationfailure mode and effect analysishealthcaremedication errors

Identifiers

PMID40264504
PMCPMC12013626

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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.