{"title":"Exploring the Correlation Between Patient Safety Culture and Adverse Medical Events Using Failure Mode and Effect Analysis (FMEA).","authors":"Yang Cui, Yu Wang, He Liu, Shaojie Xu, Xue Zhang","doi":"10.2147/RMHP.S502725","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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).</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":56009,"journal":{"name":"Risk Management and Healthcare Policy","volume":"18 ","pages":"1367-1376"},"PeriodicalIF":2.7000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12013626/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Risk Management and Healthcare Policy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/RMHP.S502725","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Risk Management and Healthcare Policy is an international, peer-reviewed, open access journal focusing on all aspects of public health, policy and preventative measures to promote good health and improve morbidity and mortality in the population. Specific topics covered in the journal include:
Public and community health
Policy and law
Preventative and predictive healthcare
Risk and hazard management
Epidemiology, detection and screening
Lifestyle and diet modification
Vaccination and disease transmission/modification programs
Health and safety and occupational health
Healthcare services provision
Health literacy and education
Advertising and promotion of health issues
Health economic evaluations and resource management
Risk Management and Healthcare Policy focuses on human interventional and observational research. The journal welcomes submitted papers covering original research, clinical and epidemiological studies, reviews and evaluations, guidelines, expert opinion and commentary, and extended reports. Case reports will only be considered if they make a valuable and original contribution to the literature. The journal does not accept study protocols, animal-based or cell line-based studies.