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南京医科大学学报(社会科学版)京医科大学学报(社会科学版) 第4期 总第135期
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Journal of Nanjing Medical University(Social Sciences)of Nanjing Medical University(Social Sciences) 2026年8月
Journal
意愿调查:基于技术采纳与应用整合理论模型[J]. 中 [18] 陈娜,邓敏. 基于 Anderson 模型的我国失能老人机构
国卫生资源,2023,26(6):798-803 养老意愿及影响因素分析[J]. 中国卫生统计,2021,38
[12] 韩晓宏,孙悦. 基于决策实验室分析的智慧医疗服务 (1):96-99
老年患者使用行为影响因素研究[J]. 中国医院管理, [19] 冀杨,王攀,李乐乐,等. 北京市属医院智慧服务建设
2024,44(4):56-60 对患者就医体验的影响机制研究——基于技术接受模
[13] 风笑天. 社会科学研究方法[M]. 北京:中国人民大学 型(TAM)视角[J]. 中国卫生政策研究,2025,18(3):
出版社,2024:127-128 57-64
[14] 陆杰华,韦晓丹. 老年数字鸿沟治理的分析框架、理念 [20] 马述忠,张道涵,潘钢健. 数字金融与老年人健康:基
及其路径选择——基于数字鸿沟与知沟理论视角[J]. 于优质医疗服务可及机制视角[J]. 求是学刊,2022,49
人口研究,2021,45(3):17-30 (5):56-70
[15]Lythreatis S,Singh S K,El⁃Kassar A N. The digital di⁃ [21] 丁悦莹,刘石柱,陈羲. 基于Kano模型的镇江市老年人
vide:a review and future research agenda[J].Technol 智慧养老服务需求及其影响因素[J]. 护理研究,2025,
Forecast Soc Change,2022,175:121359 39(15):2514-2524
[16] 刘剑,康正,石淇,等. 公众医保关心及参与医保基金 [22]Immonen M,Koivuniemi J. Self⁃service technologies in
监管意愿:政府信任的调节作用[J]. 中国卫生经济, health ⁃ care:Exploring drivers for adoption[J].Comput
2023,42(6):22-25 Hum Behav,2018,88:18-27
[17] 孙敬婧,张研,旷文波,等. 县级医院医生向下转诊常 [23] 周煜. 智能化时代美国老年数字鸿沟的现状与启示
见病患者的意愿及影响因素研究[J]. 中国全科医学, [J]. 国外社会科学,2022(6):100-114,198
2023,26(10):1205-1211 (本文编辑:姜 鑫)
Research on the willingness to use smart healthcare and its influencing
factors among middle⁃aged and older adults in Guangzhou: from the
perspective of digital divide
Xu Lu,Zhong Xiyang,Wang Na,Zhai Fangming
College of Humanities and Management,Guangdong Medical University,Dongguan 523808,China
Abstract:This study investigated the factors influencing the adoption of smart healthcare among middle⁃
aged and older adults in Guangzhou,a city characterized by the concurrent trends of rapid digitalization and
population aging. By integrating the digital divide as a core dimension into Andersen’s behavioral model,the
study constructed a four ⁃ dimensional analytical framework. Binary logistic regression was used for empirical
testing. The results showed a 76.5% willingness rate to use smart healthcare services among the respondents.
Factors including good self ⁃ rated health status(OR=2.635),the presence of chronic diseases(OR=2.615)
significantly increased willingness to use such services. Prior experience with smart healthcare services(OR=
2.979)and the ability to use the online medical consultation service(OR=2.676)also played important facilitating
roles. Educational level(OR=2.532)remained a significant factor. Notably,after incorporating the digital divide,
the influence of some traditional demographic variables weakened. The study concludes that the use of smart
healthcare among this population in Guangzhou is primarily driven by health needs and constrained by the
digital divide,with the key barrier having shifted from access to deficiencies in the application of usage skills
and knowledge. The study recommends that community organizations and medical institutions work collaboratively
to provide stratified,diversified practical skill training and volunteer assistance.
Key words:smart healthcare;older and middle⁃aged people;digital divide;usage intention

