Healthcare Failure Model and Effect Analysis in Surgery Setting: A Bibliometrics Analysis and Literature Review

时间轴 医疗保健 主题分析 患者安全 文献计量学 质量(理念) 数据科学 医学 计算机科学 政治学 地理 图书馆学 社会学 社会科学 定性研究 法学 哲学 考古 认识论
作者
Tito Sumarwoto,M. Ilyas,Arlina Dewi
标识
DOI:10.5455/aim.2024.32.19-23
摘要

In the ever-evolving healthcare landscape, the imperative to ensure patient safety has driven the adoption of robust safety approaches. One of the most popular methods is Healthcare Failure Mode and Effect Analysis (HFMEA).This study aims to conduct a bibliometric analysis of HFMEA research in a surgery setting to identify relevant authors, topics, and journals, highlighting the scholarly collaboration trends in this area. This analysis can provide valuable insights into the current state of research, emerging trends, and future research directions.The data was acquired online from the PubMed database on December 16th, 2023. The downloaded data were analyzed using Google Sheets to predict trends. The publication output was then analyzed using VOSviewer. Subsequently, Biblioshiny was used to analyze the characteristics of the study, productive author, institution, and country; thematic map analysis; and topic timeline analysis.This study analyzes 25 documents spanning 2005 to 2022, reflecting a collaborative effort involving 155 contributors. The upward trend in annual scientific publications, notably the surge from 2014 onwards and significant peaks in 2019 and 2022, underscores the growing recognition of HFMEA in enhancing patient safety within surgical environments. The prominent influence from prolific authors like Ahmed K, leading institutions such as King's College London, and the substantial contributions from Norway and the USA in shaping the HFMEA research landscape.This study contributes valuable insights that can shape the trajectory of HFMEA in the evolving landscape of surgical healthcare, ensuring enhanced patient safety and quality improvement.
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