[1]张 耀,许佳佳,高 凌,等.智慧健康养老服务使用意愿影响因素的评价指标体系构建[J].医学信息,2025,38(04):71-75.[doi:10.3969/j.issn.1006-1959.2025.04.011]
 ZHANG Yao,XU Jiajia,GAO Ling,et al.Construction of Evaluation Index System of Influencing Factors of Use Intention of Smart Health Elderly Care Service[J].Journal of Medical Information,2025,38(04):71-75.[doi:10.3969/j.issn.1006-1959.2025.04.011]
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智慧健康养老服务使用意愿影响因素的评价指标体系构建()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
38卷
期数:
2025年04期
页码:
71-75
栏目:
公共卫生信息学
出版日期:
2025-02-15

文章信息/Info

Title:
Construction of Evaluation Index System of Influencing Factors of Use Intention of Smart Health Elderly Care Service
文章编号:
1006-1959(2025)04-0071-05
作者:
张 耀12许佳佳13高 凌1石宇平4
1.山西中医药大学护理学院,山西 晋中 030619;2.晋中市卫生学校护理部,山西 晋中 030600;3.山西白求恩医院综合医疗科,山西 太原 030032;4.山西医科大学护理学院,山西 太原 030000
Author(s):
ZHANG Yao13 XU Jiajia12 GAO Ling1 Shi Yuping4
1.School of Nursing, Shanxi University of Chinese Medicine, Jinzhong 030619, Shanxi, China;2.Nursing Department of Jinzhong Health School, Jinzhong 030600, Shanxi, China;3.Comprehensive Medical Department of Shanxi Bethune Hospital, Taiyuan 030032, Shan
关键词:
智慧健康养老指标体系影响因素德尔菲法
Keywords:
Smart health care Index system Influencing factors Delphi method
分类号:
R197
DOI:
10.3969/j.issn.1006-1959.2025.04.011
文献标志码:
A
摘要:
目的 构建顺应时代需求的智慧健康养老使用意愿影响因素评价指标体系,为进一步了解多方视角下(包括老年人、老年人家庭照护者等需求方、政府相关职能部门、医养结合机构等供给方)智慧健康养老使用意愿的影响因素,明确发展机制提供研究基础。方法 以PEST分析模型为理论基础,通过文献检索、半结构式访谈、小组讨论初步确立了智慧健康养老服务使用意愿的影响因素评价指标体系的初始条目池,经过两轮德尔菲专家函询,对指标体系内容进行修改,运用专家意见的协调系数和变异系数对指标内容进行分析。结果 两轮专家函询的有效问卷回收率分别是100.00%、95.00%;专家权威系数(Cr)分别为0.863、0.858;智慧健康养老使用意愿影响因素指标体系专家意见的协调系数分别为0.200(?字2=96.114,P<0.001)、0.227(?字2=94.805,P<0.001);专家意见的变异系数分别为0.000~0.281、0.000~0.192。专家对本研究的协调性较好,对各指标内容的判断一致,最终确定一级指标4个,二级指标19个。结论 智慧健康养老服务使用意愿影响因素评价指标体系结构合理、内容全面、顺应时代发展,为研制调查智慧健康养老服务使用意愿影响因素工具提供科学依据。
Abstract:
Objective To construct an evaluation index system for the influencing factors of the willingness to use smart health care for the aged that meets the needs of the times, and to further understand the influencing factors of the willingness to use smart health care for the aged from multiple perspectives (including the demand side such as the elderly, the elderly family caregivers, the relevant functional departments of the government, and the supply side such as medical and nursing institutions), and to provide a research basis for clarifying the development mechanism. Methods Based on the PEST analysis model, the initial item pool of the evaluation index system of the influencing factors of the willingness to use smart health care services was preliminarily established through literature search, semi-structured interviews and group discussions. After two rounds of Delphi expert consultation, the content of the index system was modified, and the coordination coefficient and variation coefficient of expert opinions were used to analyze the content of the index. Results The effective questionnaire recovery rates of the two rounds of expert consultation were 100.00% and 95.00%, respectively. The expert authority coefficients (Cr) were 0.863 and 0.858, respectively. The coordination coefficients of expert opinions on the influencing factors of the willingness to use smart health care were 0.200 (χ2=96.114, P<0.001) and 0.227 (χ2=94.805, P<0.001). The coefficients of variation of expert opinions were 0.000-0.281 and 0.000-0.192, respectively. The experts had a good coordination of this study, and the judgment of the content of each index was consistent. Finally, 4 first-level indicators and 19 second-level indicators were determined. Conclusion The evaluation index system of the influencing factors of the willingness to use smart health care services is reasonable in structure, comprehensive in content, and conforms to the development of the times. It provides a scientific basis for the development of tools to investigate the influencing factors of the willingness to use smart health care services.

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更新日期/Last Update: 1900-01-01