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 *

130 related articles for article (PubMed ID: 30109025)

  • 1. UTAUT for HSS: initial framework to study health IT adoption in the developing countries.
    Fuad A; Hsu CY
    F1000Res; 2018; 7():101. PubMed ID: 30109025
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Adequacy of UTAUT in clinician adoption of health information systems in developing countries: The case of Cameroon.
    Bawack RE; Kala Kamdjoug JR
    Int J Med Inform; 2018 Jan; 109():15-22. PubMed ID: 29195701
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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. PubMed ID: 28347450
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Technology Acceptance Models in Health Informatics: TAM and UTAUT.
    Ammenwerth E
    Stud Health Technol Inform; 2019 Jul; 263():64-71. PubMed ID: 31411153
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Health systems strengthening: a common classification and framework for investment analysis.
    Shakarishvili G; Lansang MA; Mitta V; Bornemisza O; Blakley M; Kley N; Burgess C; Atun R
    Health Policy Plan; 2011 Jul; 26(4):316-26. PubMed ID: 20952397
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Assessing patients' attitudes towards telepsychotherapy: The development of the unified theory of acceptance and use of technology-patient version.
    Békés V; Doorn KA; Bőthe B
    Clin Psychol Psychother; 2022 Nov; 29(6):1918-1927. PubMed ID: 35705786
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Electronic health records implementation: an evaluation of information system impact and contingency factors.
    Nguyen L; Bellucci E; Nguyen LT
    Int J Med Inform; 2014 Nov; 83(11):779-96. PubMed ID: 25085286
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 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; 50():186-196. PubMed ID: 25937699
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. From theory to practice: An integrated TTF-UTAUT study on electric vehicle adoption behavior.
    Alwadain A; Fati SM; Ali K; Ali RF
    PLoS One; 2024; 19(3):e0297890. PubMed ID: 38470889
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A meta-analysis based modified unified theory of acceptance and use of technology (meta-UTAUT): a review of emerging literature.
    Dwivedi YK; Rana NP; Tamilmani K; Raman R
    Curr Opin Psychol; 2020 Dec; 36():13-18. PubMed ID: 32339928
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using the UTAUT model to understand students' usage of e-learning systems in developing countries.
    Abbad MMM
    Educ Inf Technol (Dordr); 2021; 26(6):7205-7224. PubMed ID: 34025204
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Beyond TAM and UTAUT: Future directions for HIT implementation research.
    Shachak A; Kuziemsky C; Petersen C
    J Biomed Inform; 2019 Dec; 100():103315. PubMed ID: 31629923
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Contextual factors affecting health information system strengthening.
    Thomas JC
    Glob Public Health; 2017 Dec; 12(12):1568-1578. PubMed ID: 27841079
    [TBL] [Abstract][Full Text] [Related]  

  • 17. User experience of interRAI assessment tools in New Zealand.
    Smith J; Whiddett D; Hunter I
    Stud Health Technol Inform; 2013; 192():744-8. PubMed ID: 23920656
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. The role of quality improvement in strengthening health systems in developing countries.
    Leatherman S; Ferris TG; Berwick D; Omaswa F; Crisp N
    Int J Qual Health Care; 2010 Aug; 22(4):237-43. PubMed ID: 20543209
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.