These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

238 related articles for article (PubMed ID: 36429875)

  • 21. 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]  

  • 22. Antecedents of Intention to Adopt Mobile Health (mHealth) Application and Its Impact on Intention to Recommend: An Evidence from Indonesian Customers.
    Octavius GS; Antonio F
    Int J Telemed Appl; 2021; 2021():6698627. PubMed ID: 34012467
    [TBL] [Abstract][Full Text] [Related]  

  • 23. How Social Influence Promotes the Adoption of Mobile Health among Young Adults in China: A Systematic Analysis of Trust, Health Consciousness, and User Experience.
    Cao J; Feng H; Lim Y; Kodama K; Zhang S
    Behav Sci (Basel); 2024 Jun; 14(6):. PubMed ID: 38920829
    [TBL] [Abstract][Full Text] [Related]  

  • 24. The Acceptance Behavior of Smart Home Health Care Services in South Korea: An Integrated Model of UTAUT and TTF.
    Kang HJ; Han J; Kwon GH
    Int J Environ Res Public Health; 2022 Oct; 19(20):. PubMed ID: 36293859
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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; 20(9):e262. PubMed ID: 30224334
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. Assessing Older Adults' Intentions to Use a Smartphone: Using the Meta-Unified Theory of the Acceptance and Use of Technology.
    Yang CC; Li CL; Yeh TF; Chang YC
    Int J Environ Res Public Health; 2022 Apr; 19(9):. PubMed ID: 35564798
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Usage Behaviour and Adoption Criteria for Mobile Health Solutions in Patients with Chronic Diseases in Gastroenterology.
    Wiest IC; Sicorello M; Yesmembetov K; Ebert MP; Teufel A
    Visc Med; 2024 Apr; 40(2):61-74. PubMed ID: 38584857
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF.
    Wang H; Tao D; Yu N; Qu X
    Int J Med Inform; 2020 Jul; 139():104156. PubMed ID: 32387819
    [TBL] [Abstract][Full Text] [Related]  

  • 30. The role of trust and habit in the adoption of mHealth by older adults in Hong Kong: a healthcare technology service acceptance (HTSA) model.
    Liu JYW; Sorwar G; Rahman MS; Hoque MR
    BMC Geriatr; 2023 Feb; 23(1):73. PubMed ID: 36737712
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. Analyzing the determinants to accept a virtual assistant and use cases among cancer patients: a mixed methods study.
    van Bussel MJP; Odekerken-Schröder GJ; Ou C; Swart RR; Jacobs MJG
    BMC Health Serv Res; 2022 Jul; 22(1):890. PubMed ID: 35804356
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Exploring factors that influence the behavioural intention of medical students to use 3D gastroscopic model to learn how to operate gastroscope using UTAUT Model.
    Wei S; Ge P; Zhang J; Xu S; Wang Y; Li Q; Feng B; Yu W; Suo B; Zhang Y; Wang M; Sun X; Song Z; Wu Y
    BMC Med Educ; 2023 Aug; 23(1):554. PubMed ID: 37550684
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Health Care Providers' Acceptance of a Personal Health Record: Cross-sectional Study.
    Yousef CC; Salgado TM; Farooq A; Burnett K; McClelland LE; Abu Esba LC; Alhamdan HS; Khoshhal S; Aldossary IF; Alyas OA; DeShazo JP
    J Med Internet Res; 2021 Oct; 23(10):e31582. PubMed ID: 34569943
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. 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]  

  • 38. Wearable Technology Acceptance in Health Care Based on National Culture Differences: Cross-Country Analysis Between Chinese and Swiss Consumers.
    Yang Meier D; Barthelmess P; Sun W; Liberatore F
    J Med Internet Res; 2020 Oct; 22(10):e18801. PubMed ID: 33090108
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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. PubMed ID: 24901351
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Smartphone Alcohol Use Disorder Recovery Apps: Cross-sectional Survey of Behavioral Intention to Use.
    Menon R; Meyer J; Nippak P; Begum H
    JMIR Hum Factors; 2022 Apr; 9(2):e33493. PubMed ID: 35363145
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.