HUBUNGAN ANTARA FAKTOR DETERMINAN UTAUT DENGAN MINAT DOKTER GIGI TERHADAP PENGGUNAAN TELEDENTISTRY: STUDI PILOT
Abstract
The development of Information and Communication Technology (ICT) in the health sector is growing with the existence of teledentistry. This revolution in fact has triggered problems in terms of acceptance of ICT adoption which is still low for both patients, health practitioners and health care providers. Approaches based on behavioral theories are widely used to assess ICT acceptance. The purpose of this article is to explain the concepts and determinants of Unified Theory of Acceptance and Use of Technology (UTAUT) model that can predict the behavioral intention in using teledentistry. This model is the combination of eight theories of technology acceptance behavior that have been widely used in various studies. The UTAUT concept model has four determinants that affect the individual's intention of technology: performance expectancy, effort expectancy, social influence and facilitating conditions. This model also has moderating factors that can affect the relationship between determinants and behavioral intention. This model is proven to provide variation of intention up to 70% when compared to the other theories.
Keywords
Full Text:
PDFReferences
Hoque R, Sorwar G. Understanding Factors Influencing The Adoption Of Mhealth By The Elderly: An Extension Of The UTAUT Model. International Journal Of Medical Informatics. 2017;101:75-84. Doi:10.1016/J.Ijmedinf.2017.02.002
Alabdullah JH, Van Lunen BL, Claiborne DM, Daniel SJ, Yen CJ, Gustin TS. Application Of The Unified Theory Of Acceptance And Use Of Technology Model To Predict Dental Students’ Behavioral Intention To Use Teledentistry. Journal Of Dental Education. 2020;84(11):1262-1269. Doi:10.1002/Jdd.12304
Heinsch M, Wyllie J, Carlson J, Wells H, Tickner C, Kay-Lambkin F. Theories Informing Ehealth Implementation: Systematic Review And Typology Classification. Journal Of Medical Internet Research. 2021;23(5). Doi:10.2196/18500
Alsharif AT, Al-Harbi SS. Dentists’ Self-Perception On Teledentistry: The Changing Landscape Driven By Technological Booming In The 21st century. The Open Dentistry Journal. 2020;14(1):291-297. Doi:10.2174/1874210602014010291
Lin GSS, Koh SH, Ter KZ, Lim CW, Sultana S, Tan WW. Awareness, Knowledge, Attitude, And Practice Of Teledentistry Among Dental Practitioners During COVID-19: A Systematic Review And Meta-Analysis. Medicina (Lithuania). 2022;58(1). Doi:10.3390/Medicina58010130
Chérrez-Ojeda I, Vera C, Vanegas E, Et Al. The Use Of Information And Communication Technologies In Latin American Dentists: A Cross-Sectional Study From Ecuador. BMC Oral Health. 2020;20(1):146. Doi:10.1186/S12903-020-01137-Z
Plaza-Ruíz SP, Barbosa-Liz DM, Agudelo-Suárez AA. Impact Of COVID-19 On The Knowledge And Attitudes Of Dentists Toward Teledentistry. JDR Clinical And Translational Research. 2021;6(3):268-278. Doi:10.1177/2380084421998632
Nunes A, Limpo T, Castro SL. Acceptance Of Mobile Health Applications: Examining Key Determinants And Moderators. Frontiers In Psychology. 2019;10. Doi:10.3389/Fpsyg.2019.02791
Bawack RE, Kala Kamdjoug JR. Adequacy Of UTAUT In Clinician Adoption Of Health Information Systems In Developing Countries: The Case Of Cameroon. International Journal Of Medical Informatics. 2018;109:15-22. Doi:10.1016/J.Ijmedinf.2017.10.016
Alqudah AA, Al-Emran M, Shaalan K. Technology Acceptance In Healthcare: A Systematic Review. Applied Sciences (Switzerland). 2021;11(22). Doi:10.3390/App112210537
Venkatesh V, Smith RH, Morris MG, Davis GB, Davis FD, Walton SM. Quarterly User Acceptance Of Information Technology: Toward A Unified View1.
Venkatesh V, Thong JYL, Xu X. Unified Theory Of Acceptance And Use Of Technology: A Synthesis And The Road Ahead. J Assoc Inf Syst. 2016;17(5):328-376. Doi:10.17705/1jais.00428
Garavand A, Samadbeik M, Nadri H, Rahimi B, Asadi H. Effective Factors In Adoption Of Mobile Health Applications Between Medical Sciences Students Using The UTAUT Model. Methods Of Information In Medicine. 2019;58(4-5):131-139. Doi:10.1055/S-0040-1701607
Shiferaw KB, Mengiste SA, Gullslett MK, Et Al. Healthcare Providers’ Acceptance Of Telemedicine And Preference Of Modalities During COVID-19 Pandemics In A Low-Resource Setting: An Extended UTAUT Model. Plos ONE. 2021;16(4 April 2021). Doi:10.1371/Journal.Pone.0250220
Hennemann S, Beutel ME, Zwerenz R. Ready For Ehealth? Health Professionals’ Acceptance And Adoption Of Ehealth Interventions In Inpatient Routine Care. Journal Of Health Communication. 2017;22(3):274-284. Doi:10.1080/10810730.2017.1284286
González Bravo L, Fernández Sagredo M, Torres Martínez P, Et Al. Psychometric Analysis Of A Measure Of Acceptance Of New Technologies (UTAUT), Applied To The Use Of Haptic Virtual Simulators In Dental Students. European Journal Of Dental Education. 2020;24(4):706-714. Doi:10.1111/Eje.12559
Adjei TK, Mohammed A, Acheampong PR, Et Al. Determinants Of A Mobile Phone-Based Interactive Voice Response (MIVR) System For Monitoring Childhood Illnesses In A Rural District Of Ghana: Empirical Evidence From The UTAUT Model. Plos ONE. 2021;16(3 March). Doi:10.1371/Journal.Pone.0248363
Wrzosek N, Zimmermann A, Balwicki Ł. Doctors’ Perceptions Of E-Prescribing Upon Its Mandatory Adoption In Poland, Using The Unified Theory Of Acceptance And Use Of Technology Method. Healthcare (Switzerland). 2020;8(4). Doi:10.3390/Healthcare8040563
Davis FD. A Technology Acceptance Model For Empirically Testing New End-User Information Systems.; 2014. https://www.researchgate.net/publication/35465050
Anjani S, Enny Rachmani, Wulandari F, Faik Agiwahyuanto. Jenis Kelamin, Usia Dan Pendidikan Dengan Perilaku Penggunaan Internet Pada Tenaga Kesehatan Di Puskesmas Kota Semarang. Vol 1.; 2021.
Al-Sharqi L, Hashim K. University Students’ Perceptions Of Social Media As A Learning Tool. Vol 5.; 2017.
Rouidi M, Elouadi A, Hamdoune A. Acceptance And Use Of Telemedicine Technology By Health Professionals: Development Of A Conceptual Model. digital health. 2022;8:205520762210816. Doi:10.1177/20552076221081693
DOI: https://doi.org/10.24815/cdj.v15i1.27717
Article Metrics
Abstract view : 0 timesPDF - 0 times
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Cakradonya Dental Journal
This work is licensed under a Creative Commons Attribution 4.0 International License.
VISITORS
