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Items: 1 to 20 of 107

1.

Using the Unified Theory of Acceptance and Use of Technology (UTAUT) to Investigate the Intention to Use Physical Activity Apps: Cross-Sectional Survey.

Liu D, Maimaitijiang R, Gu J, Zhong S, Zhou M, Wu Z, Luo A, Lu C, Hao Y.

JMIR Mhealth Uhealth. 2019 Aug 22;7(9):e13127. doi: 10.2196/13127.

2.
3.

Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study.

Apolinário-Hagen J, Menzel M, Hennemann S, Salewski C.

JMIR Form Res. 2018 Dec 12;2(2):e11977. doi: 10.2196/11977.

4.

Factors Determining the Behavioral Intention to Use Mobile Learning: An Application and Extension of the UTAUT Model.

Chao CM.

Front Psychol. 2019 Jul 16;10:1652. doi: 10.3389/fpsyg.2019.01652. eCollection 2019.

5.

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. doi: 10.1016/j.ijmedinf.2018.01.008. Epub 2018 Jan 12.

PMID:
29500019
6.

What factors determine therapists' acceptance of new technologies for rehabilitation – a study using the Unified Theory of Acceptance and Use of Technology (UTAUT).

Liu L, Miguel Cruz A, Rios Rincon A, Buttar V, Ranson Q, Goertzen D.

Disabil Rehabil. 2015;37(5):447-55. doi: 10.3109/09638288.2014.923529. Epub 2014 Jun 5.

PMID:
24901351
7.

Use and the Users of a Patient Portal: Cross-Sectional Study.

Hoogenbosch B, Postma J, de Man-van Ginkel JM, Tiemessen NA, van Delden JJ, van Os-Medendorp H.

J Med Internet Res. 2018 Sep 17;20(9):e262. doi: 10.2196/jmir.9418.

8.

Acceptance of mHealth Apps for Self-Management Among People with Hypertension.

Breil B, Kremer L, Hennemann S, Apolinário-Hagen J.

Stud Health Technol Inform. 2019 Sep 3;267:282-288. doi: 10.3233/SHTI190839.

PMID:
31483283
9.

Apps for IMproving FITness and Increasing Physical Activity Among Young People: The AIMFIT Pragmatic Randomized Controlled Trial.

Direito A, Jiang Y, Whittaker R, Maddison R.

J Med Internet Res. 2015 Aug 27;17(8):e210. doi: 10.2196/jmir.4568.

10.

Bridging the Divide: Using UTAUT to predict multigenerational tablet adoption practices.

Magsamen-Conrad K, Upadhyaya S, Joa CY, Dowd J.

Comput Human Behav. 2015 Sep 1;50:186-196.

11.

Keep Using My Health Apps: Discover Users' Perception of Health and Fitness Apps with the UTAUT2 Model.

Yuan S, Ma W, Kanthawala S, Peng W.

Telemed J E Health. 2015 Sep;21(9):735-41. doi: 10.1089/tmj.2014.0148. Epub 2015 Apr 28.

PMID:
25919238
12.

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. doi: 10.1016/j.ijmedinf.2017.02.002. Epub 2017 Feb 10.

PMID:
28347450
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15.

Breast, Prostate, and Colorectal Cancer Survivors' Experiences of Using Publicly Available Physical Activity Mobile Apps: Qualitative Study.

Roberts AL, Potts HW, Koutoukidis DA, Smith L, Fisher A.

JMIR Mhealth Uhealth. 2019 Jan 4;7(1):e10918. doi: 10.2196/10918.

16.
17.

What features do Dutch university students prefer in a smartphone application for promotion of physical activity? A qualitative approach.

Middelweerd A, van der Laan DM, van Stralen MM, Mollee JS, Stuij M, te Velde SJ, Brug J.

Int J Behav Nutr Phys Act. 2015 Mar 1;12:31. doi: 10.1186/s12966-015-0189-1.

18.
19.

Diet and Physical Activity Apps: Perceived Effectiveness by App Users.

Wang Q, Egelandsdal B, Amdam GV, Almli VL, Oostindjer M.

JMIR Mhealth Uhealth. 2016 Apr 7;4(2):e33. doi: 10.2196/mhealth.5114.

20.

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