Wei Li, Zhang Xin, Li Huimin, Wang Yanmei, Lu Minghui, Chai Qianwen
Department of Nursing, Tianjin Medical University General Hospital Airport Site, Tianjin, China.
Beijing Tongren Hospital, Beijing, China.
Nurs Health Sci. 2025 Mar;27(1):e70051. doi: 10.1111/nhs.70051.
The objective of this study was to develop an Internet Plus wound care service quality evaluation system within the context of digital and intelligent medical care services. We utilized the Donabedian and SERVQUAL models as the theoretical framework, establishing an initial evaluation system through a literature review and semi-structured interviews. This evaluation system was refined through two rounds of Delphi expert consultations, and the weights of each level of indicators were determined using the Analytic Hierarchy Process (AHP). The statistical results indicated a return rate of 100%, with authority coefficients of the experts at 0.898 and 0.906, respectively. The experts' opinions were relatively concentrated and consistent. After two rounds of consultations, the importance values of indicators exceeded 4.5 points, the variation coefficient was below 0.25, and the Kendall coordination coefficients for secondary and tertiary indicators were 0.163 and 0.131, respectively, all with p < 0.001. The final indicator system comprised 3 primary indicators, 10 secondary indicators, and 59 tertiary indicators, demonstrating strong scientific validity and reliability.
本研究的目的是在数字与智能医疗服务背景下开发一个“互联网 +”伤口护理服务质量评估系统。我们将唐纳贝迪安模型和服务质量模型(SERVQUAL)作为理论框架,通过文献综述和半结构化访谈建立了初始评估系统。该评估系统经过两轮德尔菲专家咨询进行完善,并使用层次分析法(AHP)确定各级指标的权重。统计结果显示回复率为 100%,专家权威系数分别为 0.898 和 0.906。专家意见相对集中且一致。经过两轮咨询,指标重要性值超过 4.5 分,变异系数低于 0.25,二级和三级指标的肯德尔协调系数分别为 0.163 和 0.131,均 p < 0.001。最终指标体系包括 3 个一级指标、10 个二级指标和 59 个三级指标,具有较强的科学有效性和可靠性。