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 *

225 related articles for article (PubMed ID: 37425233)

  • 21. Designing for the Co-Use of Consumer Health Technology in Self-Management of Adolescent Overweight and Obesity: Mixed Methods Qualitative Study.
    LeRouge CM; Hah H; Deckard GJ; Jiang H
    JMIR Mhealth Uhealth; 2020 Jun; 8(6):e18391. PubMed ID: 32597788
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Factors That Influence the Intention of Smallholder Rice Farmers to Adopt Cleaner Production Practices: An Empirical Study of Precision Agriculture Adoption.
    Nguyen LLH; Khuu DT; Halibas A; Nguyen TQ
    Eval Rev; 2024 Aug; 48(4):692-735. PubMed ID: 37678818
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Understanding the use and non-use of social communication technologies by older adults: A qualitative test and extension of the UTAUT model.
    Bixter MT; Blocker KA; Mitzner TL; Prakash A; Rogers WA
    Gerontechnology; 2019 Jun; 18(2):70-88. PubMed ID: 31754352
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Analysis of the factors influencing healthcare professionals' adoption of mobile electronic medical record (EMR) using the unified theory of acceptance and use of technology (UTAUT) in a tertiary hospital.
    Kim S; Lee KH; Hwang H; Yoo S
    BMC Med Inform Decis Mak; 2016 Jan; 16():12. PubMed ID: 26831123
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Caregiver perspectives on a smart home-based socially assistive robot for individuals with Alzheimer's disease and related dementia.
    Arthanat S; Begum M; Gu T; LaRoche DP; Xu D; Zhang N
    Disabil Rehabil Assist Technol; 2020 Oct; 15(7):789-798. PubMed ID: 32299272
    [No Abstract]   [Full Text] [Related]  

  • 26. Factors affecting the adoption of healthcare information technology.
    Phichitchaisopa N; Naenna T
    EXCLI J; 2013; 12():413-36. PubMed ID: 26417235
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Digitizing nursing: A theoretical and holistic exploration to understand the adoption and use of digital technologies by nurses.
    Wynn M; Garwood-Cross L; Vasilica C; Griffiths M; Heaslip V; Phillips N
    J Adv Nurs; 2023 Oct; 79(10):3737-3747. PubMed ID: 37530425
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Factors influencing the adoption of health information technologies: a systematic review.
    Garavand A; Mohseni M; Asadi H; Etemadi M; Moradi-Joo M; Moosavi A
    Electron Physician; 2016 Aug; 8(8):2713-2718. PubMed ID: 27757179
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Factors influencing nurses' acceptance of hospital information systems in Iran: application of the Unified Theory of Acceptance and Use of Technology.
    Sharifian R; Askarian F; Nematolahi M; Farhadi P
    Health Inf Manag; 2014; 43(3):23-8. PubMed ID: 27009793
    [TBL] [Abstract][Full Text] [Related]  

  • 30. An empirical investigation into the preferences of the elderly for user interface design in personal electronic health record systems.
    Zhang S; Song J
    Front Digit Health; 2023; 5():1289904. PubMed ID: 38348367
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A Tablet App Supporting Self-Management for People With Dementia: Explorative Study of Adoption and Use Patterns.
    Øksnebjerg L; Woods B; Ruth K; Lauridsen A; Kristiansen S; Holst HD; Waldemar G
    JMIR Mhealth Uhealth; 2020 Jan; 8(1):e14694. PubMed ID: 31951217
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Factors influencing health information technology adoption in Thailand's community health centers: applying the UTAUT model.
    Kijsanayotin B; Pannarunothai S; Speedie SM
    Int J Med Inform; 2009 Jun; 78(6):404-16. PubMed ID: 19196548
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Factors Affecting Caregivers' Acceptance of the Use of Wearable Devices by Patients With Dementia: An Extension of the Unified Theory of Acceptance and Use of Technology Model.
    Dai B; Larnyo E; Tetteh EA; Aboagye AK; Musah AA
    Am J Alzheimers Dis Other Demen; 2020; 35():1533317519883493. PubMed ID: 31679390
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Determining Acceptance of e-Mental Health Interventions in Digital Psychodiabetology Using a Quantitative Web-Based Survey: Cross-sectional Study.
    Damerau M; Teufel M; Musche V; Dinse H; Schweda A; Beckord J; Steinbach J; Schmidt K; Skoda EM; Bäuerle A
    JMIR Form Res; 2021 Jul; 5(7):e27436. PubMed ID: 34328429
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an Electronic Patient Record in acute care settings: an extension of the UTAUT.
    Maillet É; Mathieu L; Sicotte C
    Int J Med Inform; 2015 Jan; 84(1):36-47. PubMed ID: 25288192
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Factors influencing adoption of e-learning in healthcare: integration of UTAUT and TTF model.
    Abdekhoda M; Dehnad A; Zarei J
    BMC Med Inform Decis Mak; 2022 Dec; 22(1):327. PubMed ID: 36494800
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. 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]  

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