638 related articles for article (PubMed ID: 31930955)
1. Assessment of the Intention to Use Mobile Health Applications Using a Technology Acceptance Model in an Israeli Adult Population.
Shemesh T; Barnoy S
Telemed J E Health; 2020 Sep; 26(9):1141-1149. PubMed ID: 31930955
[No Abstract] [Full Text] [Related]
2. Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik.
Akdur G; Aydin MN; Akdur G
JMIR Mhealth Uhealth; 2020 Oct; 8(10):e16911. PubMed ID: 33006566
[TBL] [Abstract][Full Text] [Related]
3. Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study.
Palos-Sanchez PR; Saura JR; Rios Martin MÁ; Aguayo-Camacho M
JMIR Mhealth Uhealth; 2021 Sep; 9(9):e27021. PubMed ID: 34499044
[TBL] [Abstract][Full Text] [Related]
4. Applying an Extended UTAUT2 Model to Explain User Acceptance of Lifestyle and Therapy Mobile Health Apps: Survey Study.
Schomakers EM; Lidynia C; Vervier LS; Calero Valdez A; Ziefle M
JMIR Mhealth Uhealth; 2022 Jan; 10(1):e27095. PubMed ID: 35040801
[TBL] [Abstract][Full Text] [Related]
5. Patients and Stakeholders' Perspectives Regarding the Privacy, Security, and Confidentiality of Data Collected via Mobile Health Apps in Saudi Arabia: Protocol for a Mixed Method Study.
Alhammad N; Alajlani M; Abd-Alrazaq A; Arvanitis T; Epiphaniou G
JMIR Res Protoc; 2024 May; 13():e54933. PubMed ID: 38776540
[TBL] [Abstract][Full Text] [Related]
6. The Impact of Gamification-Induced Users' Feelings on the Continued Use of mHealth Apps: A Structural Equation Model With the Self-Determination Theory Approach.
Wang T; Fan L; Zheng X; Wang W; Liang J; An K; Ju M; Lei J
J Med Internet Res; 2021 Aug; 23(8):e24546. PubMed ID: 34387550
[TBL] [Abstract][Full Text] [Related]
7. Proposing a mobile apps acceptance model for users in the health area: A systematic literature review and meta-analysis.
Binyamin SS; Zafar BA
Health Informatics J; 2021; 27(1):1460458220976737. PubMed ID: 33438494
[TBL] [Abstract][Full Text] [Related]
8. Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey.
Jaana M; Paré G
JMIR Mhealth Uhealth; 2020 Nov; 8(11):e24718. PubMed ID: 33104517
[TBL] [Abstract][Full Text] [Related]
9. The impact of post-adoption beliefs on the continued use of health apps.
Cho J
Int J Med Inform; 2016 Mar; 87():75-83. PubMed ID: 26806714
[TBL] [Abstract][Full Text] [Related]
10. Use of eHealth and mHealth technology by persons with multiple sclerosis.
Marrie RA; Leung S; Tyry T; Cutter GR; Fox R; Salter A
Mult Scler Relat Disord; 2019 Jan; 27():13-19. PubMed ID: 30296732
[TBL] [Abstract][Full Text] [Related]
11. Tools for Evaluating the Content, Efficacy, and Usability of Mobile Health Apps According to the Consensus-Based Standards for the Selection of Health Measurement Instruments: Systematic Review.
Muro-Culebras A; Escriche-Escuder A; Martin-Martin J; Roldán-Jiménez C; De-Torres I; Ruiz-Muñoz M; Gonzalez-Sanchez M; Mayoral-Cleries F; Biró A; Tang W; Nikolova B; Salvatore A; Cuesta-Vargas AI
JMIR Mhealth Uhealth; 2021 Dec; 9(12):e15433. PubMed ID: 34855618
[TBL] [Abstract][Full Text] [Related]
12. Use of Mobile Health Applications for Health-Seeking Behavior Among US Adults.
Bhuyan SS; Lu N; Chandak A; Kim H; Wyant D; Bhatt J; Kedia S; Chang CF
J Med Syst; 2016 Jun; 40(6):153. PubMed ID: 27147516
[TBL] [Abstract][Full Text] [Related]
13. Smartphone Users' Persuasion Knowledge in the Context of Consumer mHealth Apps: Qualitative Study.
Joo E; Kononova A; Kanthawala S; Peng W; Cotten S
JMIR Mhealth Uhealth; 2021 Apr; 9(4):e16518. PubMed ID: 33847596
[TBL] [Abstract][Full Text] [Related]
14. The Technology Acceptance Model for Resource-Limited Settings (TAM-RLS): A Novel Framework for Mobile Health Interventions Targeted to Low-Literacy End-Users in Resource-Limited Settings.
Campbell JI; Aturinda I; Mwesigwa E; Burns B; Santorino D; Haberer JE; Bangsberg DR; Holden RJ; Ware NC; Siedner MJ
AIDS Behav; 2017 Nov; 21(11):3129-3140. PubMed ID: 28421356
[TBL] [Abstract][Full Text] [Related]
15. Factors affecting physicians using mobile health applications: an empirical study.
Wu P; Zhang R; Luan J; Zhu M
BMC Health Serv Res; 2022 Jan; 22(1):24. PubMed ID: 34983501
[TBL] [Abstract][Full Text] [Related]
16. Evaluating the Energy Efficiency of Popular US Smartphone Health Care Apps: Comparative Analysis Study Toward Sustainable Health and Nutrition Apps Practices.
Almasri A; El-Kour TY; Silva L; Abdulfattah Y
JMIR Hum Factors; 2024 May; 11():e58311. PubMed ID: 38729624
[TBL] [Abstract][Full Text] [Related]
17. Factors Associated With Intention to Adopt mHealth Apps Among Dementia Caregivers With a Chronic Condition: Cross-sectional, Correlational Study.
Mendez KJW; Budhathoki C; Labrique AB; Sadak T; Tanner EK; Han HR
JMIR Mhealth Uhealth; 2021 Aug; 9(8):e27926. PubMed ID: 34463637
[TBL] [Abstract][Full Text] [Related]
18. Attributes, Methods, and Frameworks Used to Evaluate Wearables and Their Companion mHealth Apps: Scoping Review.
Moorthy P; Weinert L; Schüttler C; Svensson L; Sedlmayr B; Müller J; Nagel T
JMIR Mhealth Uhealth; 2024 Apr; 12():e52179. PubMed ID: 38578671
[TBL] [Abstract][Full Text] [Related]
19. 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; 267():282-288. PubMed ID: 31483283
[TBL] [Abstract][Full Text] [Related]
20. The French General Population's Perception of New Information and Communication Technologies for Medical Consultations: National Survey.
Touzani R; Dembele E; Schultz E; Rouquette A; Seguin L; Dufour JC; Bannier M; Mancini J
J Med Internet Res; 2023 Jun; 25():e45822. PubMed ID: 37327032
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
