文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
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
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
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 @ 2025

Factors influencing telemedicine adoption among physicians in the Malaysian healthcare system: A revisit.

作者信息

Tan Siow-Hooi, Wong Chee-Kuan, Yap Yee-Yann, Tan Siow-Kian

机构信息

Faculty of Management, Multimedia University, Cyberjaya, Malaysia.

Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.

出版信息

Digit Health. 2024 Jun 6;10:20552076241257050. doi: 10.1177/20552076241257050. eCollection 2024 Jan-Dec.


DOI:10.1177/20552076241257050
PMID:38854922
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11159542/
Abstract

BACKGROUND: The Malaysian healthcare system is under strain due to an aging population, the rising prevalence of chronic diseases, and heavy workloads among physicians. As costs and requirements continue to rise, telemedicine is critical for bridging gaps in supply and demand. However, there are limited studies on telemedicine adoption among Malaysian physicians. Furthermore, the existing literature on telemedicine adoption does not contain a comprehensive framework that integrates the multidimensional social influence, and technological, clinical, and individual factors. OBJECTIVE: This research investigates the adoption of telemedicine among Malaysian physicians. It draws from the Technology Acceptance Model (TAM) and Kelman's Social Influence Theory. METHODS: A survey was conducted among 230 participants in hospitals located in Kuala Lumpur and Selangor. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). RESULTS: The study identified crucial factors influencing telemedicine adoption, including informational influences, rewards, perceived ease of use, and usefulness. Meanwhile, the Importance-performance Map Analysis (IPMA) identified perceived ease of use as the most important factor for physicians, but the highest performance was patient's records. CONCLUSIONS: The proposed integrated model enhances the understanding of telemedicine adoption and highlights the differential effects of individual, technological, clinical, and multidimensional social influence factors from the physicians' perspective. The findings can guide future studies and influence implementation strategies for telemedicine promotion in the Malaysian healthcare context. Hospitals should prioritize user-friendly technology and information provision, while telemedicine providers should enhance the accessibility of patient records to facilitate telemedicine adoption. Policymakers should consider supporting training programs that will boost physicians' confidence in effectively utilizing telemedicine.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc1/11159542/c5c899b52fdd/10.1177_20552076241257050-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc1/11159542/286694fb4fad/10.1177_20552076241257050-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc1/11159542/c5c899b52fdd/10.1177_20552076241257050-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc1/11159542/286694fb4fad/10.1177_20552076241257050-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc1/11159542/c5c899b52fdd/10.1177_20552076241257050-fig2.jpg

相似文献

[1]
Factors influencing telemedicine adoption among physicians in the Malaysian healthcare system: A revisit.

Digit Health. 2024-6-6

[2]
Investigating Physicians' Adoption of Telemedicine in Romania Using Technology Acceptance Model (TAM).

Healthcare (Basel). 2024-8-1

[3]
Predictive factors of telemedicine service acceptance and behavioral intention of physicians.

Int J Med Inform. 2014-6-2

[4]
Exploring Telemedicine Usage Intention Using Technology Acceptance Model and Social Capital Theory.

Healthcare (Basel). 2024-6-26

[5]
Examining supporting and constraining factors of physicians' acceptance of telemedical online consultations: a survey study.

BMC Health Serv Res. 2023-10-19

[6]
Predictive factors of physicians' satisfaction with telemedicine services acceptance.

Health Informatics J. 2020-9

[7]
Healthcare stakeholders' perceptions and experiences of factors affecting the implementation of critical care telemedicine (CCT): qualitative evidence synthesis.

Cochrane Database Syst Rev. 2021-2-18

[8]
Adoption of telemedicine applications among Saudi citizens during COVID-19 pandemic: An alternative health delivery system.

J Infect Public Health. 2020-10-23

[9]
Development of a tripolar model of technology acceptance: Hospital-based physicians' perspective on EHR.

Int J Med Inform. 2017-6

[10]
Understanding Clinicians' Adoption of Mobile Health Tools: A Qualitative Review of the Most Used Frameworks.

JMIR Mhealth Uhealth. 2020-7-6

引用本文的文献

[1]
Needs assessment and prioritization of key medical specialties: A telemedicine roadmap based on a mixed-methods framework.

Digit Health. 2025-8-26

[2]
Implementation of a tele-paediatric network in hospitals in a rural region: A mixed methods implementation study.

Digit Health. 2025-7-20

[3]
Determinants of Telehealth Adoption Among Older Adults: Cross-Sectional Survey Study.

JMIR Aging. 2025-3-24

[4]
The Sri Lankan enigma: demystifying public healthcare information systems acceptance.

BMC Health Serv Res. 2025-1-4

本文引用的文献

[1]
Social influence, performance expectancy, and price value as determinants of telemedicine services acceptance in Chile.

Heliyon. 2024-2-29

[2]
Adoption of video consultations during the COVID-19 pandemic.

Internet Interv. 2023-3

[3]
Factors Influencing Adoption and Use of Telemedicine Services in Rural Areas of China: Mixed Methods Study.

JMIR Public Health Surveill. 2022-12-23

[4]
Factors affecting the choices of adoption/non-adoption of future technologies during coronavirus pandemic.

Technol Forecast Soc Change. 2021-8

[5]
Usage and perceptions of telemedicine among health care professionals in China.

Int J Med Inform. 2022-10

[6]
Challenges of Telemedicine during the COVID-19 pandemic: a systematic review.

BMC Med Inform Decis Mak. 2022-8-3

[7]
The Impact of Telemedicine on Physicians' After-hours Electronic Health Record "Work Outside Work" During the COVID-19 Pandemic: Retrospective Cohort Study.

JMIR Med Inform. 2022-7-28

[8]
Assessing the Availability of Teleconsultation and the Extent of Its Use in Malaysian Public Primary Care Clinics: Cross-sectional Study.

JMIR Form Res. 2022-5-9

[9]
Modifying UTAUT2 for a cross-country comparison of telemedicine adoption.

Comput Human Behav. 2022-5

[10]
Indonesian hospital telemedicine acceptance model: the influence of user behavior and technological dimensions.

Heliyon. 2021-12

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索