The Determinant of Trust in Telemedicine: A Systematic Review

https://doi.org/10.22146/jkap.82724

Dhika Purnastyasih(1*), Eko Prasojo(2)

(1) Universitas Indonesia
(2) University of Indonesia
(*) Corresponding Author

Abstract


Telemedicine is a form of utilizing technology in the health sector that has been rapidly adopted globally, especially since the COVID-19 pandemic. Telemedicine has the potential to be a solution to overcoming the problem of access to health services. Despite its great benefits, telemedicine also encountered obstacles in its implementation, and among them that are fundamental is trust. Trust in telemedicine is unique and different from electronic services because it involves personal and sensitive data. This study examine the role of trust in telemedicine and the factors that determine trust in telemedicine services through a systematic review. This study uses a systematic review method of related publications from 2012 to 2022 derived from the Scopus database. A selection process was carried out based on the eligibility criteria set for 1196 related publications, so 17 articles were obtained, which were analyzed in this study. Based on a literature review, trust in telemedicine is multi-dimensional and is shaped by various factors of trust that influence each other. The main factors are trust in the care organization, trust in the care professional, trust in the treatment, and trust in the technology. Another factor that determines trust in telemedicine is individual’s characteristics, such as age, gender, level of education, technological literacy, income, type of disease, health condition, frequency of use, and experience. Moreover, there are factors external from the individual characteristics that can also determine trust in telemedicine, such as family support, living area, community, and social media, the COVID-19 pandemic, and the existence of policies and regulations that support and enforced.


Keywords


determine; factor; telemedicine; trust

Full Text:

PDF


References

Adjekum, A., Blasimme, A., & Vayena, E. (2018). Elements of trust in digital health systems: Scoping review. Journal of Medical Internet Research, 20(12), 1–10. https://doi.org/10.2196/11254

Bossa, F., Valvano, M. R., Vetrone, L. M., Guerra, M., Lopetuso, L. R., Carparelli, S., Mignini, I., Cocomazzi, F., Napolitano, D., Costantino, A., Caprioli, F., Gasbarrini, A., Perri, F., & Papa, A. (2022). Evaluation of factors associated with trust in telemedicine in patients with inflammatory bowel disease during COVID-19 pandemic: a multicenter cross-sectional survey. European Review for Medical and Pharmacological Sciences, 26(19), 7277–7284. https://doi.org/10.26355/eurrev_202210_29921

Cao, Y., Zhang, J., Ma, L., Qin, X., & Li, J. (2020). Examining user’s initial trust building in mobile online health community adopting. International Journal of Environmental Research and Public Health, 17(11). https://doi.org/10.3390/ijerph17113945

Carter, L., & Bélanger, F. (2005). The utilization of e-government services: Citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5–25. https://doi.org/10.1111/j.1365-2575.2005.00183.x

Costantino, A., Caprioli, F., Elli, L., Roncoroni, L., Stocco, D., Doneda, L., Nandi, N., Conforti, F. S., Noviello, D., Penagini, R., & Vecchi, M. (2022). Determinants of patient trust in gastroenterology televisits: Results of machine learning analysis: Determinants of Patient Trust in Televisits. Informatics in Medicine Unlocked, 29. https://doi.org/10.1016/j.imu.2022.100867

Costantino, A., Noviello, D., Mazza, S., Berté, R., Caprioli, F., & Vecchi, M. (2021). Trust in telemedicine from IBD outpatients during the COVID-19 pandemic. Digestive and Liver Disease, 53(3), 291–294. https://doi.org/10.1016/j.dld.2020.10.035

Costantino, A., Roncoroni, L., Noviello, D., Nandi, N., Lombardo, V., Scricciolo, A., Scaramella, L., Vecchi, M., & Elli, L. (2021). Nutritional and Gastroenterological Monitoring of Patients With Celiac Disease During COVID-19 Pandemic: The Emerging Role of Telemedicine and Point-of-Care Gluten Detection Tests. Frontiers in Nutrition, 8. https://doi.org/10.3389/fnut.2021.622514

Gille, F., Smith, S., & Mays, N. (2015). Why public trust in health care systems matters and deserves greater research attention. 20(1), 62–64. https://doi.org/10.1177/1355819614543161

Gilson, L. (2003). Trust and the development ofhealth care as a social institution. Social Science & Medicine, 56, 1453–1468. https://doi.org/10.1016/S0277-9536(02)00142-9

Hong, Z., Deng, Z., & Zhang, W. (2019). Examining factors affecting patients trust in online healthcare services in China: The moderating role of the purpose of use. Health Informatics Journal, 25(4), 1647–1660. https://doi.org/10.1177/1460458218796660

Kaspersky. (2021). Telehealth take-up: the risks and opportunities.

Katadata Insight Center. (2022). Penggunaan Layanan Kesehatan dan Telemedicine di Indonesia. https://cdn1.katadata.co.id/template/frontend_template_v3/images/miniweb/dua-tahun-pandemi/file/KIC_Survei 2022_Penggunaan_Layanan_Telemedik.pdf

Larsson, A., & Teigland, R. (2019). Digital Transformation and Public Services. In Digital Transformation and Public Services. https://doi.org/10.4324/9780429319297

Liu, J., He, J., He, S., Li, C., Yu, C., & Li, Q. (2022). Patients’ Self-Disclosure Positively Influences the Establishment of Patients’ Trust in Physicians: An Empirical Study of Computer-Mediated Communication in an Online Health Community. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.823692

Mayer et al. (1995). An Integrative Model of Organizational Trust Author ( s ): Roger C . Mayer , James H . Davis and F . David Schoorman Published by : Academy of Management Stable URL : http://www.jstor.com/stable/258792 REFERENCES Linked references are available on JSTOR f. Academy of Management Review, 20(3), 709–734.

McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334–359. https://doi.org/10.1287/isre.13.3.334.81

Meng, F., Guo, X., Peng, Z., Lai, K. H., & Zhao, X. (2019). Investigating the adoption of mobile health services by elderly users: Trust transfer model and survey study. JMIR MHealth and UHealth, 7(1). https://doi.org/10.2196/12269

Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., Altman, D., Antes, G., Atkins, D., Barbour, V., Barrowman, N., Berlin, J. A., Clark, J., Clarke, M., Cook, D., D’Amico, R., Deeks, J. J., Devereaux, P. J., Dickersin, K., Egger, M., Ernst, E., … Tugwell, P. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine, 151(4), 264–269. https://doi.org/10.7326/0003-4819-151-4-200908180-00135/ASSET/IMAGES/LARGE/8FF1.JPEG

Moore, A., Chavez, C., & Fisher, M. P. (2022). Factors Enhancing Trust in Electronic Communication Among Patients from an Internal Medicine Clinic: Qualitative Results of the RECEPT Study. Journal of General Internal Medicine, 37(12), 3121–3127. https://doi.org/10.1007/s11606-021-07345-9

Orrange, S., Patel, A., Mack, W. J. W. J., & Cassetta, J. (2021). Patient Satisfaction and Trust in Telemedicine During the COVID-19 Pandemic: Retrospective Observational Study. JMIR Human Factors, 8(2). https://doi.org/10.2196/28589

Ozawa, S., & Sripad, P. (2013). How do you measure trust in the health system? A systematic review of the literature. Social Science and Medicine, 91, 10–14. https://doi.org/10.1016/j.socscimed.2013.05.005

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. The BMJ, 372, 2021. https://doi.org/10.1136/bmj.n71

Putra, P. E., & Hidayanto, A. N. (2023). Factor Influenced the Acceptance of e-Health from Health Care Personnel and Patient Perspective: Systematic Literature Review. 330–334. https://doi.org/10.1109/icitisee57756.2022.10057936

Rubinger, L., & Bhandari, M. (2020). Cochrane in CORR®–Interactive Telemedicine: Effects on Professional Practice and Health Care Outcomes. Clinical Orthopaedics and Related Research, 478(9), 1971. https://doi.org/10.1097/CORR.0000000000001440

Setyowati, D. (2022). Dugaan Jutaan Data Pasien Bocor, Lampu Kuning Keamanan Siber Negara. Katadata.Co.Id. https://katadata.co.id/desysetyowati/digital/61dbaf0bed947/dugaan-jutaan-data-pasien-bocor-lampu-kuning-keamanan-siber-negara

Sillence, E., Blythe, J. M., Briggs, P., & Moss, M. (2019). A revised model of trust in internet-based health information and advice: Cross-sectional questionnaire study. Journal of Medical Internet Research, 21(11), 1–14. https://doi.org/10.2196/11125

Tsai, C. H., Kuo, Y. M., & Uei, S. L. (2014). Influences of satisfaction with telecare and family trust in older Taiwanese people. International Journal of Environmental Research and Public Health, 11(2), 1359–1368. https://doi.org/10.3390/ijerph110201359

van Haasteren, A., Gille, F., Fadda, M., & Vayena, E. (2019). Development of the mHealth App Trustworthiness checklist. Digital Health, 5, 1–21. https://doi.org/10.1177/2055207619886463

van Velsen, L., Flierman, I., & Tabak, M. (2021). The formation of patient trust and its transference to online health services: the case of a Dutch online patient portal for rehabilitation care. BMC Medical Informatics and Decision Making, 21(1), 1–10. https://doi.org/10.1186/s12911-021-01552-4

Van Velsen, L., Wildevuur, S., Flierman, I., Van Schooten, B., Tabak, M., & Hermens, H. (2016). Trust in telemedicine portals for rehabilitation care: An exploratory focus group study with patients and healthcare professionals eHealth/ telehealth/ mobile health systems. BMC Medical Informatics and Decision Making, 16(1), 1–12. https://doi.org/10.1186/s12911-016-0250-2

Velsen, L. van, Tabak, M., & Hermens, H. (2017). Measuring patient trust in telemedicine services: Development of a survey instrument and its validation for an anticoagulation web-service. International Journal of Medical Informatics, 97, 52–58. https://doi.org/10.1016/j.ijmedinf.2016.09.009

World Health Organization. (2010). Telemedicine: opportunities and developments in member states : report on the second Global survey on eHealth. World Health Organization.

Wu, D., Lowry, P. B., Zhang, D., & Tao, Y. (2022). Patient Trust in Physicians Matters—Understanding the Role of a Mobile Patient Education System and Patient-Physician Communication in Improving Patient Adherence Behavior: Field Study. Journal of Medical Internet Research, 24(12). https://doi.org/10.2196/42941

Yee, V., Bajaj, S. S., & Stanford, F. C. (2022). Paradox of telemedicine: building or neglecting trust and equity. The Lancet Digital Health, 4(7), e480–e481. https://doi.org/10.1016/S2589-7500(22)00100-5



DOI: https://doi.org/10.22146/jkap.82724

Article Metrics

Abstract views : 1486 | views : 1706

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Copyright (c) 2023 JKAP (Jurnal Kebijakan dan Administrasi Publik)

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.