Risk identification and prediction of complaints and misconduct against health practitioners: a scoping review.

IF 2.7 4区 医学 Q2 HEALTH CARE SCIENCES & SERVICES International Journal for Quality in Health Care Pub Date : 2024-01-13 DOI:10.1093/intqhc/mzad114
Yufeng Wang, Sanyogita Sanya Ram, Shane Scahill
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Abstract

Identifying the risk and predicting complaints and misconduct against health practitioners are essential for healthcare regulators to implement early interventions and develop long-term prevention strategies to improve professional practice and enhance patient safety. This scoping review aims to map out existing literature on the risk identification and prediction of complaints and misconduct against health practitioners. This scoping review followed Arksey and O'Malley's five-stage methodological framework. A comprehensive literature search was conducted on MEDLINE, EMBASE, and CINAHL databases and finished on the same day (6 September 2021). Articles meeting the eligibility criteria were charted and descriptively analysed through a narrative analysis method. The initial search generated 5473 articles. After the identification, screening, and inclusion process, 81 eligible studies were included for data charting. Three key themes were reported: methods used for identifying risk factors and predictors of the complaints and misconduct, synthesis of identified risk factors and predictors in eligible studies, and predictive tools developed for complaints and misconduct against health practitioners. The findings reveal that risk identification and prediction of complaints and misconduct are complex issues influenced by multiple factors, exhibiting non-linear patterns and being context specific. Further efforts are needed to understand the characteristics and interactions of risk factors, develop systematic risk prediction tools, and facilitate the application in the regulatory environment.

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针对医疗从业人员的投诉和不当行为的风险识别与预测:范围审查。
背景:识别和预测针对医疗从业人员的投诉和不当行为的风险对于医疗监管机构实施早期干预和制定长期预防策略以改善专业实践和提高患者安全至关重要。本范围界定综述旨在梳理现有文献中关于针对医疗从业人员的投诉和不当行为的风险识别和预测:本范围界定综述遵循 Arksey & O'Malley 的五阶段方法框架。在 MEDLINE、EMBASE 和 CINAHL 数据库中进行了全面的文献检索,并于当天(2021 年 9 月 6 日)完成。符合资格标准的文章被制成图表,并通过叙事分析方法进行描述性分析:结果:最初的检索产生了 5473 篇文章。经过识别、筛选和纳入过程后,81 项符合条件的研究被纳入数据图表。报告了三个关键主题:用于识别投诉和不当行为的风险因素和预测因素的方法、符合条件的研究中已识别风险因素和预测因素的综述,以及针对针对医疗从业人员的投诉和不当行为开发的预测工具:投诉和不当行为的风险识别和预测是一个复杂的问题,受到多种因素的影响,呈现出非线性模式,并因具体情况而异。需要进一步努力了解风险因素的特点和相互作用,开发系统的风险预测工具,并促进其在监管环境中的应用。
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来源期刊
CiteScore
4.90
自引率
3.80%
发文量
87
审稿时长
6-12 weeks
期刊介绍: The International Journal for Quality in Health Care makes activities and research related to quality and safety in health care available to a worldwide readership. The Journal publishes papers in all disciplines related to the quality and safety of health care, including health services research, health care evaluation, technology assessment, health economics, utilization review, cost containment, and nursing care research, as well as clinical research related to quality of care. This peer-reviewed journal is truly interdisciplinary and includes contributions from representatives of all health professions such as doctors, nurses, quality assurance professionals, managers, politicians, social workers, and therapists, as well as researchers from health-related backgrounds.
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