对卫生从业人员的投诉和不当行为的风险识别和预测:范围审查
Yufeng Wang1, Sanyogita Sanya Ram1, Shane Scahill1
1School of Pharmacy, Faculty of Medical and Health Sciences, University of Auckland, Level 3, Building 503, 85 Park Road, Grafton, Auckland 1023, New Zealand.
概括
预测医疗从业人员的不当行为是复杂的,受到许多因素的影响. 需要更多的研究来开发系统的风险预测工具,以改善患者安全和专业实践.
科学领域:
- 医疗保健条例 医疗保健条例
- 医疗专业主义 医学专业主义
- 患者安全 患者安全
背景情况:
- 识别和预测医疗从业者的投诉和不当行为对监管机构至关重要.
- 早期干预和预防策略对于提高专业实践和患者安全至关重要.
研究的目的:
- 进行范围审查,绘制有关风险识别和预测对卫生从业人员投诉和不当行为的现有文献.
- 综合识别的风险因素,预测因素和开发的预测工具.
主要方法:
- 在Arksey和O'Malley之后,采用了五个阶段的范围审查方法.
- 在MEDLINE,EMBASE和CINAHL数据库中进行全面的文献搜索.
- 对81项符合条件的研究进行叙述分析.
主要成果:
- 出现了三个关键主题:风险识别方法,风险因素/预测因素的综合和预测工具.
- 风险的识别和预测是复杂的,多因素的,非线性的和特定于环境的.
- 目前的文献强调了对风险因素特征和相互作用的进一步研究的需要.
结论:
- 需要进一步的研究,以了解健康从业者不当行为的风险因素的相互作用.
- 为了监管应用,需要开发系统的风险预测工具.
- 更好的理解将促进改善专业实践和患者安全.
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