286 related articles for article (PubMed ID: 28976824)
1. Investigating Factors Affecting Elderly's Intention to Use m-Health Services: An Empirical Study.
Quaosar GMAA; Hoque MR; Bao Y
Telemed J E Health; 2018 Apr; 24(4):309-314. PubMed ID: 28976824
[TBL] [Abstract][Full Text] [Related]
2. Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model.
Hoque R; Sorwar G
Int J Med Inform; 2017 May; 101():75-84. PubMed ID: 28347450
[TBL] [Abstract][Full Text] [Related]
3. Factors influencing the elderly's adoption of mHealth: an empirical study using extended UTAUT2 model.
Palas JU; Sorwar G; Hoque MR; Sivabalan A
BMC Med Inform Decis Mak; 2022 Jul; 22(1):191. PubMed ID: 35871682
[TBL] [Abstract][Full Text] [Related]
4. Quality Characteristics and Acceptance Intention for Healthcare Kiosks: Perception of Elders from South Korea Based on the Extended Technology Acceptance Model.
Kim U; Chung T; Park E
Int J Environ Res Public Health; 2022 Dec; 19(24):. PubMed ID: 36554358
[TBL] [Abstract][Full Text] [Related]
5. Expanding the UTAUT2 framework to determine the drivers of mobile shopping behaviour among older adults.
Huang T
PLoS One; 2023; 18(12):e0295581. PubMed ID: 38096326
[TBL] [Abstract][Full Text] [Related]
6. Analyzing older users' home telehealth services acceptance behavior-applying an Extended UTAUT model.
Cimperman M; Makovec Brenčič M; Trkman P
Int J Med Inform; 2016 Jun; 90():22-31. PubMed ID: 27103194
[TBL] [Abstract][Full Text] [Related]
7. Factors influencing the elderly's behavioural intention to use smart home technologies in Saudi Arabia.
Maswadi K; Ghani NA; Hamid S
PLoS One; 2022; 17(8):e0272525. PubMed ID: 36040877
[TBL] [Abstract][Full Text] [Related]
8. Patient Acceptance of e-Health Services in Saudi Arabia: An Integrative Perspective.
AlBar AM; Hoque MR
Telemed J E Health; 2019 Sep; 25(9):847-852. PubMed ID: 30452333
[No Abstract] [Full Text] [Related]
9. The Mediating Influence of the Unified Theory of Acceptance and Use of Technology on the Relationship Between Internal Health Locus of Control and Mobile Health Adoption: Cross-sectional Study.
Ahadzadeh AS; Wu SL; Ong FS; Deng R
J Med Internet Res; 2021 Dec; 23(12):e28086. PubMed ID: 34964718
[TBL] [Abstract][Full Text] [Related]
10. The Determinants of M-Health Adoption in Developing Countries: An Empirical Investigation.
Alaiad A; Alsharo M; Alnsour Y
Appl Clin Inform; 2019 Oct; 10(5):820-840. PubMed ID: 31667819
[TBL] [Abstract][Full Text] [Related]
11. An empirical study of mHealth adoption in a developing country: the moderating effect of gender concern.
Hoque MR
BMC Med Inform Decis Mak; 2016 May; 16():51. PubMed ID: 27142844
[TBL] [Abstract][Full Text] [Related]
12. Elderly's intention to use technologies: A systematic literature review.
Yap YY; Tan SH; Choon SW
Heliyon; 2022 Jan; 8(1):e08765. PubMed ID: 35128090
[TBL] [Abstract][Full Text] [Related]
13. Patients' intention to use online postings of ED wait times: A modified UTAUT model.
Jewer J
Int J Med Inform; 2018 Apr; 112():34-39. PubMed ID: 29500019
[TBL] [Abstract][Full Text] [Related]
14. Understanding Use Intention of mHealth Applications Based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) Model in China.
Zhu Y; Zhao Z; Guo J; Wang Y; Zhang C; Zheng J; Zou Z; Liu W
Int J Environ Res Public Health; 2023 Feb; 20(4):. PubMed ID: 36833830
[TBL] [Abstract][Full Text] [Related]
15. Analysis of the status quo of the Elderly's demands of medical and elderly care combination in the underdeveloped regions of Western China and its influencing factors: a case study of Lanzhou.
Wang J; Wang Y; Cai H; Zhang J; Pan B; Bao G; Guo T
BMC Geriatr; 2020 Sep; 20(1):338. PubMed ID: 32907557
[TBL] [Abstract][Full Text] [Related]
16. [Tuberculosis in the elderly: Epidemiology and outcomes of ambulatory followed-up in Abidjan].
Horo K; Touré K; Brou-Gode VC; Ahui BJ; Kouassi BA; Gnazé AZ; Konaté-Koné F; Ouattara K; Motsebo FS; Meless T; N'gom AS; Koffi NB; Aka-Danguy E
Rev Epidemiol Sante Publique; 2012 Dec; 60(6):484-8. PubMed ID: 23068424
[TBL] [Abstract][Full Text] [Related]
17. Online grocery shopping intention: Elderly's perspective in Malaysia.
Yap YY; Tan SH; Tan SK; Choon SW
Heliyon; 2023 Oct; 9(10):e20827. PubMed ID: 37916123
[TBL] [Abstract][Full Text] [Related]
18. Factors Influencing Patients' Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey.
Zhang Y; Liu C; Luo S; Xie Y; Liu F; Li X; Zhou Z
J Med Internet Res; 2019 Aug; 21(8):e15023. PubMed ID: 31411146
[TBL] [Abstract][Full Text] [Related]
19. Implementation of Online Hospitals and Factors Influencing the Adoption of Mobile Medical Services in China: Cross-Sectional Survey Study.
Wang H; Liang L; Du C; Wu Y
JMIR Mhealth Uhealth; 2021 Feb; 9(2):e25960. PubMed ID: 33444155
[TBL] [Abstract][Full Text] [Related]
20. Effective Factors in Adoption of Mobile Health Applications between Medical Sciences Students Using the UTAUT Model.
Garavand A; Samadbeik M; Nadri H; Rahimi B; Asadi H
Methods Inf Med; 2019 Nov; 58(4-05):131-139. PubMed ID: 32170717
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]