Factors Influencing Behavioral Intention To Use Telemedicine Services: Modified-Utaut3 Model

Andi Achelya Febrianti

Abstract


Covid-19 has prompted digitalization in many aspects of people’s lives. Digitalization not only disrupts human interaction but also many forms of services, including health. Digitalization in the health sector has been developing telemedicine – a digital system that provides many forms of services such as consultation with medical professionals from afar. Telemedicine services have been growing in Indonesia these late years, although Indonesia still deals with an inadequate healthcare system. Therefore, this study examines factors influencing behavioral intention to use telemedicine services on Indonesians by using a modified UTAUT-3 model. A total of 350 participants answered the questionnaire form. The result of the PLS-SEM method reveals that social influence, facilitating conditions, and habit have the strongest influences on intention to use telemedicine services. The study also found that gender has no moderating effect. The research implication would be beneficial for the policymakers, researchers, as well as telemedicine industry in implementing and promoting telemedicine usage, especially in the developing countries.


Keywords


telemedicine; UTAUT-3; behavioral intention to use; health care

References


PWC, “Global Top Health Industry Issues 2021,” Pwc, p. 26, 2021.

World Bank, “Beyond Unicorns,” Beyond Unicorns, p. 219, 2021.

A. Baur, H. Yew, and M. Xin, “The future of healthcare in Asia: Digital health ecosystems Asia is paving the way for digital health ecosystems, and potential ecosystem orchestrators can generate value by taking bold, strategic actions,” McKinsey’s Healthcare Practice, no. July, 2021.

L. D’Arville, S. Mehra, A. Boulton, and V. Kapur, “Asia-Pacific Front Line of Healthcare Report 2020,” Bain & Company, pp. 1–20, 2020.

Deloitte Indonesia, “Deloitte Indonesia Business and Industry Updates Rising to the COVID-19 Health Care Challenge in Indonesia,” 2020.

Badan Pusat Statistik, Perilaku Masyarakat Pada Masa Pandemi Covid-19. 2022.

M. Busso, M. P. Gonzalez, and C. Scartascini, “On the demand for telemedicine: Evidence from the COVID-19 pandemic,” Health Economics, vol. Volume 31, no. 7, pp. 1491–1505, 2022.

R. Ishfaq and U. Raja, “Bridging the Healthcare Access Divide: A Strategic Planning Model for Rural Telemedicine Network,” 2015.

R. Parajuli and P. Doneys, “Exploring the role of telemedicine in improving access to healthcare services by women and girls in rural Nepal,” Telematics and Informatics, vol. 34, no. 7, pp. 1166–1176, Nov. 2017, doi: 10.1016/j.tele.2017.05.006.

K. L. Rush, C. Seaton, E. Li, N. D. Oelke, and B. Pesut, “Rural use of health service and telemedicine during COVID-19: The role of access and eHealth literacy,” Health Informatics Journal, vol. 27, no. 2, 2021, doi: 10.1177/14604582211020064.

P. Harimurti, J. Prawira, and K. Hort, The Republic of Indonesia Health System Review Asia Pacific Observatory on Health Systems and Policies, vol. 7, no. 1. 2017.

S. Setyaningsih and Y. Suchyadi, “Implementation of Principal Academic Supervision To Improve Teacher Performance in North Bogor,” Jhss (Journal Humanit. Soc. Stud., vol. 5, no. 2, pp. 179–183, 2021, doi: 10.33751/jhss.v5i2.3909.

Y. Suchyadi and Nurjanah, “Relationship between Principal Supervision in Increasing the Job Satisfaction of Private Junior High School Teachers in East Bogor District,” JHSS (Journal Humanit. Soc. Stud., vol. 02, no. 01, pp. 26–29, 2018, doi: https://doi.org/10.33751/jhss.v2i1.818.

Y. Suchyadi, “Relationship between Work Motivation and Organizational Culture in Enhancing Professional Attitudes of Pakuan University Lecturers,” JHSS (JOURNAL Humanit. Soc. Stud., vol. 01, no. 01, pp. 41–45, 2017, doi: https://doi.org/10.33751/jhss.v1i1.372.

Y. Suchyadi, N. Karmila, and N. Safitri, “Kepuasan Kerja Guru Ditinjau Dari Peran Supervisi Kepala Sekolah Dasar Negeri Di Kecamatan Bogor Utara,” JPPGuseda | J. Pendidik. Pengajaran Guru Sekol. Dasar, vol. 2, no. 2, pp. 91–94, Nov. 2019, doi: 10.33751/jppguseda.v2i2.1453.

R. Purnamasari et al., “Student Center Based Class Management Assistance Through The Implementation Of Digital Learning Models,” J. Community Engagem., vol. 02, no. 02, pp. 41–44, 2020, doi: https://doi.org/10.33751/jce.v2i2.2801.

Y. Suchyadi and H. Suharyati, “The Use Of Multimedia As An Effort To Improve The Understanding Ability Of Basic School Teachers ‘Creative Thinking In The Era ‘Freedom Of Learning,’” in Merdeka Belajar, A. Rahmat, Ed. Yogyakarta: Zahir Publishing, 2021, pp. 42–53.

Y. Suchyadi et al., “Increasing Personality Competence Of Primary School Teachers, Through Education Supervision Activities In Bogor City,” J. COMMUNITY Engagem., vol. 01, no. 01, 2019, [Online]. Available: https://journal.unpak.ac.id/index.php/jce

Y. Suchyadi et al., “Improving The Ability Of Elementary School Teachers Through The Development Of Competency Based Assessment Instruments In Teacher Working Group , North Bogor City,” J. COMMUNITY Engagem., vol. 02, no. 01, pp. 1–5, 2020, doi: https://doi.org/10.33751/jce.v2i01.2742.

S. Hardinata, Y. Suchyadi, and D. Wulandari, “Strengthening Technological Literacy In Junior High School Teachers In The Industrial Revolution Era 4.0,” J. Humanit. Soc. Stud., vol. 05, no. 03, pp. 330–335, 2021.

H. Suharyati, H. Laihad, and Y. Suchyadi, “Development of Teacher Creativity Models to Improve Teacher’s Pedagogic Competency in the Educational Era 4.0,” Int. J. Innov. Creat. Chang. www.ijicc.net, vol. 5, no. 6, pp. 919–929, 2019, [Online]. Available: www.ijicc.net

Y. Suchyadi, Nurjanah, and N. Karmila, Supervisi Pendidikan: Strategi Meningkatkan Profesionalisme Guru. Bogor: PGSD Universitas Pakuan, 2020.

Suchyadi, Y., & Suryani, A. "Educational Environment In The Implementation Of Character Education". JHSS (Journal Of Humanities And Social Studies), 5(2), 208-212. 2021.

Marwah, H. S., Suchyadi, Y., & Mahajani, T. "Pengaruh Model Problem Based Learning Terhadap Hasil Belajar Subtema Manusia Dan Benda Di Lingkungannya". Journal of Social Studies Arts and Humanities (JSSAH), 1(1), 42-45. 2021.

Suchyadi, Y., Sunardi, O., Suhardi, E., & Sundari, F. S. "Using a Multimedia for Natural Science Learning in Improving Concept Skills of Elementary School Teachers".

Hardinata, S., Suchyadi, Y., & Wulandari, D. "Model of Strengthening Technology Literacy for Junior High School Teachers in the Era of the Industrial Revolution 4.0."

Suchyadi, Y., Mirawati, M., Anjaswuri, F., & Destiana, D. "Supervisi Akademik Dalam Meningkatkan Kompetensi Guru Sekolah Dasar". Jurnal Manajemen Pendidikan, 10(1), 067-074. 2022.

Suchyadi, Y., Nurlela, N., & Indriani, R. S. "Analysis of Student Self-Regulated Learning in an Effort To Increase the Effectiveness of Online Lectures in the Pandemic Period". Jhss (Journal of Humanities and Social Studies), 6(1), 120-125. 2022.

Nurohmah, N., Suchyadi, Y., & Mulyawati, Y. "Pengaruh Gaya Belajar Terhadap Hasil Belajar Matematika Di Sd Negeri Sukaharja 01 Kabupaten Bogor". Journal of Social Studies Arts and Humanities (JSSAH), 2(1), 067-070. 2022.

Suchyadi, Y., & Nurjanah, N. "The Influence Of The Implementation Of Educational Supervision By The Principal On Teacher Performance In Schools". Jurnal Manajemen Pendidikan, 10(2), 125-129. 2022.

Suchyadi, Y., Muhajang, T., Indriani, R. S., & Mirawati, M. "Implementation Of Supervision In Improving The Learning Process And Character Education In Elementary Schools". Journal of Social Studies Arts and Humanities (JSSAH), 2(2), 143-146. 2022.

Gunawan, N. D., Suchyadi, Y., & Sumardi, S. "The Effect Of Online Learning On Interest In Learning Mathematics In Elementary Schools". Journal of Social Studies Arts and Humanities (JSSAH), 2(2), 110-113. 2022.

Bagus, S. N., Anwar, W. S., & Suchyadi, Y. "Analisis Bimbingan Belajar Siswa Berkesulitan Membaca". Journal of Social Studies Arts and Humanities (JSSAH), 2(2), 137-142. 2022.

Hikmah, N., Indriani, R. S., Karmila, N., Suchyadi, Y., Harahap, L. P. A., Ainurrahmah, A., & Fardila, I. "Elementary School Students Learning Assistance in The Covid-19 Pandemic Through The Introduction Of The Kipin School 4.0 Application". Journal of Community Engagement (JCE), 5(1), 31-35. 2023.

Suchyadi, Y., Indriani, R. S., & Budiana, S. "The Influence of the Implementation of Principal Supervision on Teacher Work Discipline in the Learning Process". JHSS (Journal Of Humanities And Social Studies), 7(1), 238-242. 2023.

Y. Mahendradhata et al., “The Capacity of the Indonesian Healthcare System to Respond to COVID-19,” Frontiers in Public Health, vol. 9, Jul. 2021, doi: 10.3389/fpubh.2021.649819.

Alam et al., “Factors influencing mHealth adoption and its impact on mental well-being during COVID-19 pandemic: A SEM-ANN approach,” Journal of Biomedical Informatics, vol. 116, 2021, doi: 10.1016/j.jbi.2021.103722.

H. H. Lu, W. S. Lin, C. Raphael, and M. J. Wen, “A study investigating user adoptive behavior and the continuance intention to use mobile health applications during the COVID-19 pandemic era: Evidence from the telemedicine applications utilized in Indonesia,” Asia Pacific Management Review, Mar. 2022, doi: 10.1016/j.apmrv.2022.02.002.

S. Rahi, M. M. Khan, and M. Alghizzawi, “Factors influencing the adoption of telemedicine health services during COVID-19 pandemic crisis: an integrative research model,” Enterprise Information Systems, vol. 15, no. 6, pp. 769–793, 2021, doi: 10.1080/17517575.2020.1850872.

Alam et al., “Adoption intention and usage behavior of mHealth services in Bangladesh and China: A cross-country analysis,” International Journal of Pharmaceutical and Healthcare Marketing, vol. 14, no. 1, pp. 37–60, 2020, doi: 10.1108/IJPHM-03-2019-0023.

Hoque and Sorwar, “Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model,” International Journal of Medical Informatics, vol. 101, no. September 2015, pp. 75–84, 2017, doi: 10.1016/j.ijmedinf.2017.02.002.

J. U. Palas, G. Sorwar, M. R. Hoque, and A. Sivabalan, “Factors influencing the elderly’s adoption of mHealth: an empirical study using extended UTAUT2 model,” BMC Medical Informatics and Decision Making, vol. 22, no. 1, pp. 1–22, 2022, doi: 10.1186/s12911-022-01917-3.

A. Schmitz, A. M. Díaz-Martín, and M. J. Yagüe Guillén, “Modifying UTAUT2 for a cross-country comparison of telemedicine adoption,” Computers in Human Behavior, vol. 130, no. May 2021, 2022, doi: 10.1016/j.chb.2022.107183.

Y. Zhu et al., “Understanding Use Intention of mHealth Applications Based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) Model in China,” International journal of environmental research and public health, vol. 20, no. 4, 2023, doi: 10.3390/ijerph20043139.

Alam et al., “Factors influencing the adoption of mHealth services in a developing country: A patient-centric study,” International Journal of Information Management, vol. 50, no. October 2018, pp. 128–143, 2020, doi: 10.1016/j.ijinfomgt.2019.04.016.

M. S. Farooq et al., “Acceptance and use of lecture capture system (LCS) in executive business studies: Extending UTAUT2,” Interactive Technology and Smart Education, vol. 14, no. 4, pp. 329–348, 2017, doi: 10.1108/ITSE-06-2016-0015.

V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “Quarterly,” vol. 27, no. 3, pp. 425–478, 2003.

V. Venkatesh, J. Y. L. Thong, and X. Xu, “Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology,” MIS Quarterly: Management Information Systems, vol. 36, no. 1, pp. 157–178, 2012, doi: 10.2307/41410412.

F. Meng, X. Guo, Z. Peng, X. Zhang, and D. Vogel, “A 2020 perspective on ‘The routine use of mobile health services in the presence of health consciousness,’” Electronic Commerce Research and Applications, vol. 40, no. January, p. 100931, 2020, doi: 10.1016/j.elerap.2020.100931.

R. Mano, “Mobile health apps and health management behaviors: Cost-benefit modeling analysis,” JMIR Human Factors, vol. 8, no. 2, 2021, doi: 10.2196/21251.

S. S. Bhuyan et al., “Use of Mobile Health Applications for Health-Seeking Behavior Among US Adults,” Journal of Medical Systems, vol. 40, no. 6, 2016, doi: 10.1007/s10916-016-0492-7.

L. D. Breeman et al., “A multi-stakeholder approach to eHealth development: Promoting sustained healthy living among cardiovascular patients,” International Journal of Medical Informatics, vol. 147, no. July 2020, 2021, doi: 10.1016/j.ijmedinf.2020.104364.

D. Kauw et al., “Advantages of mobile health in the management of adult patients with congenital heart disease,” International Journal of Medical Informatics, vol. 132, no. August, p. 104011, 2019, doi: 10.1016/j.ijmedinf.2019.104011.

M. Kelly, B. M. Fullen, D. Martin, C. Bradley, and J. G. McVeigh, “eHealth interventions to support self-management: Perceptions and experiences of people with musculoskeletal disorders and physiotherapists - ‘eHealth: It’s TIME’: A qualitative study,” Physiotherapy Theory and Practice, pp. 1–11, 2022, doi: 10.1080/09593985.2022.2151334.

A. Cedars and C. Blackmore, “Use of a disease-specific mobile health application in the care of adults with congenital heart disease,” Baylor University Medical Center Proceedings, vol. 32, no. 3, pp. 336–339, 2019, doi: 10.1080/08998280.2019.1613865.

M. Dragovic et al., “‘Validated, easy to use and free’: top three requests for mobile device applications (‘apps’) from mental health consumers and clinicians,” Advances in Mental Health, vol. 18, no. 2, pp. 106–114, 2020, doi: 10.1080/18387357.2018.1557014.

C. W. Yu, C. M. Chao, C. F. Chang, R. J. Chen, P. C. Chen, and Y. X. Liu, “Exploring Behavioral Intention to Use a Mobile Health Education Website: An Extension of the UTAUT 2 Model,” SAGE Open, vol. 11, no. 4, 2021, doi: 10.1177/21582440211055721.

V. Venkatesh, S. A. Brown, L. M. Maruping, and H. Bala, “Predicting Different Conceptualizations of System Use: The Competing Roles of Behavioral Intention, Facilitating Conditions, and Behavioral Expectation,” 2008.

L. Graf-Vlachy, K. Buhtz, and A. König, “Social influence in technology adoption: taking stock and moving forward,” Management Review Quarterly, vol. 68, no. 1, pp. 37–76, 2018, doi: 10.1007/s11301-017-0133-3.

S. Kulviwat, G. C. Bruner, and O. Al-Shuridah, “The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption,” Journal of Business Research, vol. 62, no. 7, pp. 706–712, 2009, doi: 10.1016/j.jbusres.2007.04.014.

Risselada, Verhoef, and Bijmolt, “Dynamic Effects of Social Influence and Direct Marketing on the Adoption of High-Technology Products,” Journal of Marketing, vol. 78, no. 2, pp. 52–68, 2014.

M. Rajak and K. Shaw, “An extension of technology acceptance model for mHealth user adoption,” Technology in Society, vol. 67, Nov. 2021, doi: 10.1016/j.techsoc.2021.101800.

S. Taylor and P. A. Todd, “Understanding Information Technology Usage: A Test of Competing Models,” 1995.

K. Tamilmani, N. P. Rana, N. Prakasam, and Y. K. Dwivedi, “The battle of Brain vs. Heart: A literature review and meta-analysis of ‘hedonic motivation’ use in UTAUT2,” International Journal of Information Management, vol. 46. Elsevier Ltd, pp. 222–235, Jun. 01, 2019. doi: 10.1016/j.ijinfomgt.2019.01.008.

A. M. Baabdullah, “Consumer adoption of Mobile Social Network Games (M-SNGs) in Saudi Arabia: The role of social influence, hedonic motivation and trust,” Technology in Society, vol. 53, pp. 91–102, May 2018, doi: 10.1016/j.techsoc.2018.01.004.

R. Madigan, T. Louw, M. Wilbrink, A. Schieben, and N. Merat, “What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of automated road transport systems,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 50, pp. 55–64, Oct. 2017, doi: 10.1016/j.trf.2017.07.007.

P. Tak and S. Panwar, “Using UTAUT 2 model to predict mobile app based shopping: evidences from India,” Journal of Indian Business Research, vol. 9, no. 3, pp. 248–264, 2017, doi: 10.1108/JIBR-11-2016-0132.

Y. Y. Wang, Y. S. Wang, and S. E. Jian, “Investigating the Determinants of Students’ Intention to Use Business Simulation Games,” Journal of Educational Computing Research, vol. 58, no. 2, pp. 433–458, Apr. 2020, doi: 10.1177/0735633119865047.

M. Limayem, S. G. Hirt, C. M. K. Cheung, and S. G. Hirt, “Qiarterly,” vol. 31, no. 4, pp. 705–737, 2007.

S. A. Raza, N. Shah, and M. Ali, “Acceptance of mobile banking in Islamic banks: evidence from modified UTAUT model,” Journal of Islamic Marketing, vol. 10, no. 1, pp. 357–376, Feb. 2019, doi: 10.1108/JIMA-04-2017-0038.

R. Agarwal and J. Prasad, “A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology,” Information Systems Research, vol. 9, no. 2, pp. 204–215, 1998, doi: 10.1287/isre.9.2.204.

S. Gupta, N. Mathur, and D. Narang, “E-leadership and virtual communication adoption by educators: an UTAUT3 model perspective,” Global Knowledge, Memory and Communication, 2022, doi: 10.1108/GKMC-01-2022-0001.

M. Tiwari, Y. Gupta, F. M. Khan, and A. Adlakha, “UTAUT3 model viability among teachers due to technological dynamism during COVID-19,” Information Discovery and Delivery, vol. 50, no. 3, pp. 245–259, 2022, doi: 10.1108/IDD-02-2021-0018.

K. K. Twum, D. Ofori, G. Keney, and B. Korang-Yeboah, “Using the UTAUT, personal innovativeness and perceived financial cost to examine student’s intention to use E-learning,” Journal of Science and Technology Policy Management, vol. 13, no. 3, pp. 713–737, 2022, doi: 10.1108/JSTPM-12-2020-0168.

R. R. Pai and S. Alathur, “Determinants of individuals’ intention to use mobile health: insights from India,” Transforming Government: People, Process and Policy, vol. 13, no. 3–4, pp. 306–326, 2019, doi: 10.1108/TG-04-2019-0027.

F. Meng, X. Guo, Z. Peng, X. Zhang, and D. Vogel, “The routine use of mobile health services in the presence of health consciousness,” Electronic Commerce Research and Applications, vol. 35, May 2019, doi: 10.1016/j.elerap.2019.100847.

J. Cho, D. Park, and H. E. Lee, “Cognitive factors of using health apps: Systematic analysis of relationships among health consciousness, health information orientation, eHealth literacy, and health app use efficacy,” Journal of Medical Internet Research, vol. 16, no. 5, pp. 1–10, 2014, doi: 10.2196/jmir.3283.

M. L. Richins and P. H. Bloch, “After the New Wears off: The Temporal Context of Product Involvement,” Journal of Consumer Research, vol. 13, no. 2, pp. 280–285, 1986, doi: 10.53841/bpshpu.2002.11.3.44.

C. P. Moreau, D. R. Lehmann, and A. B. Markman, “Entrenched knowledge structures and consumer response to new products,” Journal of Marketing Research, vol. 38, no. 1, pp. 14–29, 2001, doi: 10.1509/jmkr.38.1.14.18836.

T. Lynn, L. Muzellec, B. Caemmerer, and D. Turley, “Social network sites: early adopters’ personality and influence,” Journal of Product and Brand Management, vol. 26, no. 1, pp. 42–51, 2017, doi: 10.1108/JPBM-10-2015-1025.

Malhotra, Marketing Research - An Applied Orientation 6th Edition. New Jersey: Pearson, 2010.

J. F. Hair, G. T. M. Hult, C. M. Ringle, and Marko. Sarstedt, A primer on partial least squares structural equation modeling (PLS-SEM). 2017.

M. R. Hoque, “An empirical study of mHealth adoption in a developing country: The moderating effect of gender concern,” BMC Medical Informatics and Decision Making, vol. 16, no. 1, pp. 1–11, 2016, doi: 10.1186/s12911-016-0289-0.


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