• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于 SERVQUAL 模型的“互联网+”居家护理服务质量评价指标体系的构建:德尔菲-层次分析法研究。

Developing a quality indicator system for evaluating internet plus home care nursing services based on the SERVQUAL model: a Delphi-analytic hierarchy process study.

机构信息

Department of Nursing, Zhejiang Hospital, Hangzhou, China.

Department of Acupuncture, Zhejiang Hospital, Hangzhou, China.

出版信息

PeerJ. 2024 Nov 12;12:e18281. doi: 10.7717/peerj.18281. eCollection 2024.

DOI:10.7717/peerj.18281
PMID:39553706
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11566512/
Abstract

BACKGROUND

In the context of global population aging and the rapid development of information technology, the demand for Internet Plus Home Care Nursing (Internet+ HCN) services have been on the rise, especially in China. Internet+ HCN services have the potential to maximize existing human resources to counter the shortage of medical healthcare services. However, at present, Internet+ HCN services are difficult to scale due to the lack of standardized service quality governance. Quality indicators for service evaluation of Internet+ HCN services are under-defined.

OBJECTIVE

To develop a quality indicator system for evaluating Internet+ HCN services, and to shed theoretical light on assessing mHealth service quality from a user experience perspective.

METHODS

An initial quality indicator system was established based on scenarios related to Internet+ HCN services. The Delphi Method was applied to modify the indicators according to experts' opinions, and the analytic hierarchy process (AHP) was applied to calculate the indicator weight. Finally, a quality indicator system for evaluating Internet+ HCN services was developed based on the SERVQUAL model.

RESULTS

Altogether, 17 experts from relevant fields such as nursing education, clinical nursing, health management, and health informatics were consulted through email surveys. The response rates in both rounds of Delphi and the AHP were 100%. The average expert authority coefficients were 0.912 and 0.925 respectively in the two rounds of Delphi. Kendall's W, indicating variation coefficients, ranged from 0.262 to 0.265. Finally, a quality indicator system for evaluating Internet+ HCN services, comprising five primary indicators and 15 secondary indicators, was developed. Primary indicators and their AHP generated the following weights: assurance (0.245), reliability (0.240), tangibles (0.192), responsiveness (0.190), and empathy (0.132).

CONCLUSIONS

By measuring the services quality gap between user expectations and perceptions, the proposed SERVQUAL model-based quality indicator system shows potential in improving the quality of Internet+ HCN services through the perspective of user experiences.

摘要

背景

在全球人口老龄化和信息技术快速发展的背景下,互联网+居家护理(Internet+ HCN)服务的需求不断增长,尤其是在中国。互联网+ HCN 服务有可能最大限度地利用现有人力资源来弥补医疗保健服务的短缺。然而,目前由于缺乏标准化的服务质量治理,互联网+ HCN 服务难以规模化。互联网+ HCN 服务的服务评价质量指标尚未明确定义。

目的

制定互联网+ HCN 服务质量评价指标体系,从用户体验的角度为评估移动医疗服务质量提供理论依据。

方法

基于与互联网+ HCN 服务相关的场景,建立初始质量指标体系。采用德尔菲法根据专家意见修改指标,并采用层次分析法(AHP)计算指标权重。最后,基于 SERVQUAL 模型构建互联网+ HCN 服务质量评价指标体系。

结果

通过电子邮件调查共咨询了护理教育、临床护理、健康管理和健康信息学等相关领域的 17 名专家。德尔菲法两轮和 AHP 的回复率均为 100%。两轮德尔菲法专家权威系数分别为 0.912 和 0.925。肯德尔 W,变异系数范围为 0.262-0.265。最终,构建了一个由 5 个一级指标和 15 个二级指标组成的互联网+ HCN 服务质量评价指标体系。一级指标及其 AHP 生成的权重分别为保证(0.245)、可靠性(0.240)、有形性(0.192)、响应性(0.190)和同理心(0.132)。

结论

通过测量用户期望与感知之间的服务质量差距,基于 SERVQUAL 模型的质量指标体系从用户体验的角度有望通过提高互联网+ HCN 服务质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c91/11566512/be0787d6583f/peerj-12-18281-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c91/11566512/dff0ff3ecde7/peerj-12-18281-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c91/11566512/be0787d6583f/peerj-12-18281-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c91/11566512/dff0ff3ecde7/peerj-12-18281-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c91/11566512/be0787d6583f/peerj-12-18281-g002.jpg

相似文献

1
Developing a quality indicator system for evaluating internet plus home care nursing services based on the SERVQUAL model: a Delphi-analytic hierarchy process study.基于 SERVQUAL 模型的“互联网+”居家护理服务质量评价指标体系的构建:德尔菲-层次分析法研究。
PeerJ. 2024 Nov 12;12:e18281. doi: 10.7717/peerj.18281. eCollection 2024.
2
Enhancing older care services: a comprehensive internet + community home indicator system.加强老年护理服务:全面的互联网+社区家庭指标系统。
BMC Public Health. 2024 Oct 5;24(1):2713. doi: 10.1186/s12889-024-20221-5.
3
Development and validation of a quality indicator system for outpatient service in Shenzhen, China.中国深圳门诊服务质量指标体系的建立与验证。
Int J Qual Health Care. 2022 May 31;34(2). doi: 10.1093/intqhc/mzac035.
4
Developing integrated person-centered care quality indicators for home health agencies in Shanghai, China: A modified Delphi-analytic hierarchy process study.开发中国上海家庭健康机构的综合以人为主的护理质量指标:一项经过修正的德尔菲-层次分析法研究。
Geriatr Nurs. 2024 Jul-Aug;58:1-7. doi: 10.1016/j.gerinurse.2024.04.025. Epub 2024 May 4.
5
Developing medical record-based, healthcare quality indicators for psychiatric hospitals in China: a modified Delphi-Analytic Hierarchy Process study.开发中国精神科医院基于病历的医疗质量指标:改良德尔菲-层次分析法研究。
Int J Qual Health Care. 2019 Dec 31;31(10):733-740. doi: 10.1093/intqhc/mzz005.
6
The development of quality indicators for home care in China.中国居家照护质量指标的发展
Int J Qual Health Care. 2018 Apr 1;30(3):208-218. doi: 10.1093/intqhc/mzx202.
7
Identifying quality indicators for home care services: a modified Delphi and Analytic Hierarchy Process study.确定居家护理服务的质量指标:一项改进的德尔菲法和层次分析法研究。
BMC Nurs. 2024 Jul 19;23(1):494. doi: 10.1186/s12912-024-02169-4.
8
Developing online medical service quality indicators in China from the perspective of online and offline integration: a modified Delphi-analytic hierarchy process study.从线上线下融合的角度出发,开发中国在线医疗服务质量指标:一项修正德尔菲-层次分析法研究。
Int J Qual Health Care. 2023 Jun 16;35(2). doi: 10.1093/intqhc/mzad038.
9
Construction of Internet +home Care Quality Supervision Indicators in China Based on the Delphi Method.基于德尔菲法构建我国“互联网 +”居家护理质量监管指标
Risk Manag Healthc Policy. 2022 Jul 12;15:1325-1341. doi: 10.2147/RMHP.S368592. eCollection 2022.
10
How to establishing an indicators framework for evaluating the performances in primary TB control institutions under the new TB control model? Based on a Delphi study conducted in Guangxi, China.如何建立新结核病控制模式下基层结核病防治机构绩效评估指标体系?基于在中国广西开展的德尔菲研究。
BMC Public Health. 2022 Dec 27;22(1):2431. doi: 10.1186/s12889-022-14865-4.

本文引用的文献

1
Nurses' job preferences on the internet plus nursing service program: a discrete choice experiment.护士对互联网+护理服务项目的工作偏好:一项离散选择实验
BMC Nurs. 2024 Feb 15;23(1):120. doi: 10.1186/s12912-023-01692-0.
2
Investigation on Nurses' Willingness to "Internet + Nursing Service" and Analysis of Influencing Factors.护士对“互联网+护理服务”的意愿调查及影响因素分析
J Multidiscip Healthc. 2023 Jan 26;16:251-260. doi: 10.2147/JMDH.S396826. eCollection 2023.
3
Home Care System for Mobility Disabilities Based on Intelligent Perception.
基于智能感知的行动障碍者居家照护系统。
Comput Intell Neurosci. 2022 Sep 30;2022:9528046. doi: 10.1155/2022/9528046. eCollection 2022.
4
Identifying major impact factors affecting the continuance intention of mHealth: a systematic review and multi-subgroup meta-analysis.识别影响移动医疗持续使用意愿的主要影响因素:一项系统评价和多亚组Meta分析
NPJ Digit Med. 2022 Sep 15;5(1):145. doi: 10.1038/s41746-022-00692-9.
5
Construction of Internet +home Care Quality Supervision Indicators in China Based on the Delphi Method.基于德尔菲法构建我国“互联网 +”居家护理质量监管指标
Risk Manag Healthc Policy. 2022 Jul 12;15:1325-1341. doi: 10.2147/RMHP.S368592. eCollection 2022.
6
The use of an analytic hierarchy process to promote equity, diversity and inclusion.运用层次分析法促进公平、多样性和包容性。
Can J Surg. 2022 Jul 5;65(4):E447-E449. doi: 10.1503/cjs.013521. Print 2022 Jul-Aug.
7
Use of Machine Learning to Mine User-Generated Content From Mobile Health Apps for Weight Loss to Assess Factors Correlated With User Satisfaction.利用机器学习从移动健康应用程序中的用户生成内容中挖掘与减肥相关的因素,以评估与用户满意度相关的因素。
JAMA Netw Open. 2022 May 2;5(5):e2215014. doi: 10.1001/jamanetworkopen.2022.15014.
8
Implementation evaluation of a stepped approach to home care assessment using interRAI systems in Ontario, Canada.利用加拿大安大略省的 interRAI 系统实施居家护理评估阶梯式方法的实施评估。
Health Soc Care Community. 2022 Nov;30(6):2341-2352. doi: 10.1111/hsc.13784. Epub 2022 Mar 17.
9
Barriers to accessing internet-based home Care for Older Patients: a qualitative study.老年患者获取基于互联网的家庭护理的障碍:一项定性研究。
BMC Geriatr. 2021 Oct 18;21(1):565. doi: 10.1186/s12877-021-02474-6.
10
Effectiveness of a combined web-based and simulation-based continuing education on home-care professionals' competence to evaluate older people's acute care needs in Finland.基于网络和模拟的继续教育相结合对芬兰家庭护理专业人员评估老年人急性护理需求能力的有效性。
Health Soc Care Community. 2022 Sep;30(5):e1765-e1774. doi: 10.1111/hsc.13605. Epub 2021 Oct 13.