BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

488 related articles for article (PubMed ID: 34989683)

  • 1. Comparing the Acceptance of Mobile Hypertension Apps for Disease Management Among Patients Versus Clinical Use Among Physicians: Cross-sectional Survey.
    Breil B; Salewski C; Apolinário-Hagen J
    JMIR Cardio; 2022 Jan; 6(1):e31617. PubMed ID: 34989683
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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; 2(2):e11977. PubMed ID: 30684408
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Determinant Factors of Public Acceptance of Stress Management Apps: Survey Study.
    Apolinário-Hagen J; Hennemann S; Fritsche L; Drüge M; Breil B
    JMIR Ment Health; 2019 Nov; 6(11):e15373. PubMed ID: 31697243
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Determinants of Fitness App Usage and Moderating Impacts of Education-, Motivation-, and Gamification-Related App Features on Physical Activity Intentions: Cross-sectional Survey Study.
    Yang Y; Koenigstorfer J
    J Med Internet Res; 2021 Jul; 23(7):e26063. PubMed ID: 34255656
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Patient Acceptance of Prescribed and Fully Reimbursed mHealth Apps in Germany: An UTAUT2-based Online Survey Study.
    Uncovska M; Freitag B; Meister S; Fehring L
    J Med Syst; 2023 Jan; 47(1):14. PubMed ID: 36705853
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Extension of the Unified Theory of Acceptance and Use of Technology 2 model for predicting mHealth acceptance using diabetes as an example: a cross-sectional validation study.
    Schretzlmaier P; Hecker A; Ammenwerth E
    BMJ Health Care Inform; 2022 Nov; 29(1):. PubMed ID: 36379608
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Determining the Influencing Factors on Acceptance of eHealth Pain Management Interventions Among Patients With Chronic Pain Using the Unified Theory of Acceptance and Use of Technology: Cross-sectional Study.
    Stoppok P; Teufel M; Jahre L; Rometsch C; Müßgens D; Bingel U; Skoda EM; Bäuerle A
    JMIR Form Res; 2022 Aug; 6(8):e37682. PubMed ID: 35976199
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Adoption of mobile health services using the unified theory of acceptance and use of technology model: Self-efficacy and privacy concerns.
    Liu Y; Lu X; Zhao G; Li C; Shi J
    Front Psychol; 2022; 13():944976. PubMed ID: 36033004
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting Acceptance of e-Mental Health Interventions in Patients With Obesity by Using an Extended Unified Theory of Acceptance Model: Cross-sectional Study.
    Rentrop V; Damerau M; Schweda A; Steinbach J; Schüren LC; Niedergethmann M; Skoda EM; Teufel M; Bäuerle A
    JMIR Form Res; 2022 Mar; 6(3):e31229. PubMed ID: 35297769
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Barriers and Drivers Regarding the Use of Mobile Health Apps Among Patients With Type 2 Diabetes Mellitus in the Netherlands: Explanatory Sequential Design Study.
    Bults M; van Leersum CM; Olthuis TJJ; Bekhuis REM; den Ouden MEM
    JMIR Diabetes; 2022 Jan; 7(1):e31451. PubMed ID: 35084357
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Individual and Parental Factors of Adolescents' mHealth App Use: Nationally Representative Cross-sectional Study.
    Gulec H; Smahel D
    JMIR Mhealth Uhealth; 2022 Dec; 10(12):e40340. PubMed ID: 36525286
    [TBL] [Abstract][Full Text] [Related]  

  • 17. What explains usage of mobile physician-rating apps? Results from a web-based questionnaire.
    Bidmon S; Terlutter R; Röttl J
    J Med Internet Res; 2014 Jun; 16(6):e148. PubMed ID: 24918859
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting Patients' Intention to Use a Personal Health Record Using an Adapted Unified Theory of Acceptance and Use of Technology Model: Secondary Data Analysis.
    Yousef CC; Salgado TM; Farooq A; Burnett K; McClelland LE; Thomas A; Alenazi AO; Abu Esba LC; AlAzmi A; Alhameed AF; Hattan A; Elgadi S; Almekhloof S; AlShammary MA; Alanezi NA; Alhamdan HS; Khoshhal S; DeShazo JP
    JMIR Med Inform; 2021 Aug; 9(8):e30214. PubMed ID: 34304150
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Perspectives and Needs of Malaysian Patients With Diabetes for a Mobile Health App Support on Self-Management of Diabetes: Qualitative Study.
    Sze WT; Kow SG
    JMIR Diabetes; 2023 Oct; 8():e40968. PubMed ID: 37870903
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study.
    Schretzlmaier P; Hecker A; Ammenwerth E
    JMIR Hum Factors; 2022 Mar; 9(1):e34918. PubMed ID: 35262493
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 25.