• 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

从接受度到依赖度:探究智能医疗对中国慢性病老年人移动健康服务持续使用意愿的影响

From Acceptance to Dependence: Exploring Influences of Smart Healthcare on Continuous Use Intention of Mobile Health Services Among Older Adults with Chronic Illnesses in China.

作者信息

Luo Jiacheng, Zhang Kewei, Huang Qianghong, Jiang Shan, Pan Younghwan

机构信息

Department of Smart Experience Design, Graduate School of Techno Design, Kookmin University, Seoul 02707, Republic of Korea.

College of Literature and Arts Communication, Tongling University, Tongling 244061, China.

出版信息

Behav Sci (Basel). 2024 Dec 28;15(1):19. doi: 10.3390/bs15010019.

DOI:10.3390/bs15010019
PMID:39851823
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11762675/
Abstract

With the acceleration of the aging process in China, chronic diseases have become one of the main health threats for older adults, creating significant pressure on society and the healthcare system. As information technology and artificial intelligence advance rapidly, smart health services have become readily accessible. However, utilization rates among the older adults, especially those with chronic illnesses, remain low, preventing them from fully benefiting from these advanced technologies. The value of mobile health (mHealth) services can only be realized through sustained use. Therefore, this study empirically investigates the continuous use intention of mHealth services from the perspective of older adults with chronic illnesses, integrating the Technology Acceptance Model (TAM) and Value-Based Adoption Model (VAM). A total of 372 questionnaires were collected from various cities in China, and data were analyzed using SPSS 24.0 and Partial Least Squares Structural Equation Modeling (PLS-SEM). Results indicate that perceived ease of use ( = 0.155, = 0.004; = 0.116, = 0.027) and perceived usefulness ( = 0.175, = 0.001; = 0.151, = 0.004) have a significant positive impact on attitude and perceived value. Perceived enjoyment significantly influences attitude ( = 0.147, = 0.010), while perceived risk ( = -0.189, < 0.001; = -0.281, < 0.001) and perceived cost ( = -0.155, = 0.003; = -0.130, = 0.022) have a significant negative impact on attitude and perceived value. Both attitude ( = 0.357, < 0.001) and perceived value ( = 0.314, < 0.001) positively impact continuous intention. In total, only one of the twelve hypotheses was not supported. This study not only provides strong evidence for the effectiveness of the integrated TAM and VAM model in the mHealth field but also offers theoretical insights and practical recommendations for product optimization and promotion to mHealth service providers and designers.

摘要

随着中国老龄化进程的加速,慢性病已成为老年人主要的健康威胁之一,给社会和医疗体系带来了巨大压力。随着信息技术和人工智能的迅速发展,智能健康服务已触手可及。然而,老年人尤其是慢性病患者对其利用率仍然较低,无法充分受益于这些先进技术。移动健康(mHealth)服务的价值只有通过持续使用才能实现。因此,本研究从患有慢性病的老年人的角度,结合技术接受模型(TAM)和基于价值的采用模型(VAM),对mHealth服务的持续使用意愿进行实证研究。共收集了来自中国不同城市的372份问卷,并使用SPSS 24.0和偏最小二乘结构方程模型(PLS-SEM)对数据进行分析。结果表明,感知易用性(β = 0.155,p = 0.004;β = 0.116,p = 0.027)和感知有用性(β = 0.175,p = 0.001;β = 0.151,p = 0.004)对态度和感知价值有显著的正向影响。感知娱乐性对态度有显著影响(β = 0.147,p = 0.010),而感知风险(β = -0.189,p < 0.001;β = -0.281,p < 0.001)和感知成本(β = -0.155,p = 0.003;β = -0.130,p = 0.022)对态度和感知价值有显著的负向影响。态度(β = 0.357,p < 0.001)和感知价值(β = 0.314,p < 0.001)都对持续意愿有正向影响。总共12个假设中只有一个未得到支持。本研究不仅为整合后的TAM和VAM模型在mHealth领域的有效性提供了有力证据,还为mHealth服务提供商和设计者进行产品优化和推广提供了理论见解和实践建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18b1/11762675/2085cb96c1e7/behavsci-15-00019-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18b1/11762675/5558e5fa189f/behavsci-15-00019-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18b1/11762675/2085cb96c1e7/behavsci-15-00019-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18b1/11762675/5558e5fa189f/behavsci-15-00019-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18b1/11762675/2085cb96c1e7/behavsci-15-00019-g002.jpg

相似文献

1
From Acceptance to Dependence: Exploring Influences of Smart Healthcare on Continuous Use Intention of Mobile Health Services Among Older Adults with Chronic Illnesses in China.从接受度到依赖度:探究智能医疗对中国慢性病老年人移动健康服务持续使用意愿的影响
Behav Sci (Basel). 2024 Dec 28;15(1):19. doi: 10.3390/bs15010019.
2
Continuous usage intention of mobile health services: model construction and validation.移动医疗服务的持续使用意愿:模型构建与验证。
BMC Health Serv Res. 2023 May 5;23(1):442. doi: 10.1186/s12913-023-09393-9.
3
Intention to Use Mobile-Based Partograph and Its Predictors Among Obstetric Health Care Providers Working at Public Referral Hospitals in the Oromia Region of Ethiopia in 2022: Cross-Sectional Questionnaire Study.2022年埃塞俄比亚奥罗米亚地区公立转诊医院产科医护人员使用基于手机的产程图的意向及其预测因素:横断面问卷调查研究
Online J Public Health Inform. 2024 May 10;16:e51601. doi: 10.2196/51601.
4
A study on smart home use intention of elderly consumers based on technology acceptance models.基于技术接受模型的老年消费者智能家居使用意愿研究
PLoS One. 2024 Mar 27;19(3):e0300574. doi: 10.1371/journal.pone.0300574. eCollection 2024.
5
Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study.迈向更好地理解使用移动健康应用程序的意图:探索性研究。
JMIR Mhealth Uhealth. 2021 Sep 9;9(9):e27021. doi: 10.2196/27021.
6
Determinants Influencing the Adoption of Internet Health Care Technology Among Chinese Health Care Professionals: Extension of the Value-Based Adoption Model With Burnout Theory.影响中国医疗保健专业人员采用互联网医疗保健技术的决定因素:基于价值的采用模型与倦怠理论的扩展。
J Med Internet Res. 2023 Mar 10;25:e37671. doi: 10.2196/37671.
7
Perceptions and Satisfaction With the Use of Digital Medical Services in Urban Older Adults of China: Mixed Methods Study.中国城市老年人对数字医疗服务的认知和满意度:混合方法研究。
J Med Internet Res. 2024 Sep 20;26:e48654. doi: 10.2196/48654.
8
Intention to use a mobile phone to receive mental health support and its predicting factors among women attending antenatal care at public health facilities in Ambo town, West Shoa zone, Ethiopia 2022.2022 年,在埃塞俄比亚西绍瓦地区安博镇的公立卫生设施接受产前护理的女性使用手机接受心理健康支持的意愿及其预测因素。
BMC Health Serv Res. 2023 Dec 6;23(1):1368. doi: 10.1186/s12913-023-10392-z.
9
What Predicts Patients' Adoption Intention Toward mHealth Services in China: Empirical Study.在中国,哪些因素能预测患者对移动医疗服务的采用意愿:实证研究。
JMIR Mhealth Uhealth. 2018 Aug 29;6(8):e172. doi: 10.2196/mhealth.9316.
10
The role of trust and habit in the adoption of mHealth by older adults in Hong Kong: a healthcare technology service acceptance (HTSA) model.信任和习惯在香港老年人采用移动健康技术中的作用:一个医疗技术服务接受(HTSA)模型。
BMC Geriatr. 2023 Feb 4;23(1):73. doi: 10.1186/s12877-023-03779-4.

引用本文的文献

1
Current status of older people with chronic diseases adopting digital health technologies: A scoping review.患有慢性病的老年人采用数字健康技术的现状:一项范围综述。
Digit Health. 2025 Jun 4;11:20552076251348578. doi: 10.1177/20552076251348578. eCollection 2025 Jan-Dec.

本文引用的文献

1
Artificial intelligence in diabetes management: Advancements, opportunities, and challenges.人工智能在糖尿病管理中的应用:进展、机遇与挑战。
Cell Rep Med. 2023 Oct 17;4(10):101213. doi: 10.1016/j.xcrm.2023.101213. Epub 2023 Oct 2.
2
Determinants Influencing the Adoption of Internet Health Care Technology Among Chinese Health Care Professionals: Extension of the Value-Based Adoption Model With Burnout Theory.影响中国医疗保健专业人员采用互联网医疗保健技术的决定因素:基于价值的采用模型与倦怠理论的扩展。
J Med Internet Res. 2023 Mar 10;25:e37671. doi: 10.2196/37671.
3
Determinants of mHealth success: An empirical investigation of the user perspective.
移动健康成功的决定因素:基于用户视角的实证研究。
Int J Inf Manage. 2021 Aug;59:102351. doi: 10.1016/j.ijinfomgt.2021.102351. Epub 2021 Apr 10.
4
The Acceptance Behavior of Smart Home Health Care Services in South Korea: An Integrated Model of UTAUT and TTF.韩国智能家居保健服务的接受行为:UTAUT 和 TTF 的综合模型。
Int J Environ Res Public Health. 2022 Oct 14;19(20):13279. doi: 10.3390/ijerph192013279.
5
Determinants of Telehealth Continuance Intention: A Multi-Perspective Framework.远程医疗持续使用意愿的决定因素:一个多视角框架
Healthcare (Basel). 2022 Oct 15;10(10):2038. doi: 10.3390/healthcare10102038.
6
Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT.慢性病老年患者移动医疗持续使用意愿的决定因素:ECM-ISC 和 UTAUT 的综合框架
Int J Environ Res Public Health. 2022 Aug 12;19(16):9980. doi: 10.3390/ijerph19169980.
7
Exploring Factors of the Willingness to Accept AI-Assisted Learning Environments: An Empirical Investigation Based on the UTAUT Model and Perceived Risk Theory.探索接受人工智能辅助学习环境意愿的影响因素:基于UTAUT模型和感知风险理论的实证研究
Front Psychol. 2022 Jun 24;13:870777. doi: 10.3389/fpsyg.2022.870777. eCollection 2022.
8
Has China's Healthcare Reform Reduced the Number of Patients in Large General Hospitals?中国的医疗改革是否减少了大型综合医院的就诊人数?
Int J Environ Res Public Health. 2022 Apr 29;19(9):5428. doi: 10.3390/ijerph19095428.
9
How Does Smart Healthcare Service Affect Resident Health in the Digital Age? Empirical Evidence From 105 Cities of China.智能医疗服务如何在数字时代影响居民健康?来自中国 105 个城市的实证证据。
Front Public Health. 2022 Jan 21;9:833687. doi: 10.3389/fpubh.2021.833687. eCollection 2021.
10
Understanding the determinants of e-wallet continuance usage intention in Malaysia.了解马来西亚电子钱包持续使用意愿的决定因素。
Qual Quant. 2022;56(5):3413-3439. doi: 10.1007/s11135-021-01276-7. Epub 2021 Nov 9.