基于Donabedian和SERVQUAL模型的互联网加伤口护理服务质量评估系统的建设 - - 一个德尔菲分析层次的过程研究研究
Li Wei1, Xin Zhang2, Huimin Li3
1Department of Nursing, Tianjin Medical University General Hospital Airport Site, Tianjin, China.
Nursing & health sciences
|February 2, 2025
概括
这项研究开发了一种可靠的评价系统,用于互联网Plus伤口护理服务,使用既有模型和专家共识. 该系统确保在智能医疗服务中提供高质量的数字医疗保健服务.
科学领域:
- 数字健康数字健康
- 医疗保健质量管理 医疗保健质量管理
- 医疗信息学 医疗信息学
背景情况:
- 数字和智能技术在医疗保健中的整合需要强大的服务质量评估系统.
- 在伤口护理方面,互联网+计划需要标准化指标,以确保有效的患者结果.
- 现有的框架可能无法完全捕捉数字伤口护理服务交付的细微差别.
研究的目的:
- 为互联网Plus伤口护理服务开发一个全面和验证的评估系统.
- 建立一个框架来评估数字医疗保健在伤口管理中的质量.
- 提高伤口护理服务评估的可靠性和科学有效性.
主要方法:
- 利用多纳贝迪安和SERVQUAL模型作为理论基础.
- 进行文献评论和半结构面试,以建立初始评估系统.
- 雇佣了Delphi专家咨询和分析层次流程 (AHP) 进行改进和指标加权.
主要成果:
- 实现了100%的专家回报率,具有高权威系数 (0.898,0.906).
- 专家意见显示出强烈的共识,指标重要性值超过4.5和低变化系数 (<0.25).
- 验证系统具有显著的肯德尔协调系数 (p < 0.001),包括3个初级,10个二级和59个三级指标.
结论:
- 开发的评估系统表现出强大的科学有效性和可靠性,用于互联网Plus伤口护理服务.
- 该系统为数字伤口护理的质量评估提供了一个强大的框架.
- 这些发现支持在智能医疗保健服务中实施标准化质量评估.
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