Telemedicine Service Quality, Customer Satisfaction and Continual Usage during the Covid-19 Pandemic
Abstract
The use of telemedicine through health applications has increased since the COVID-19 pandemic. It is important to understand more deeply about people's experiences using telemedicine and explore the hospitality component of telemedicine. Objective: This study aims to determine the effect of telemedicine service quality on customer satisfaction and continual usage during the COVID-19 pandemic. Research Method: Data analysis using PLS-SEM technique with SmartPLS application. First, the measurement model test was conducted by testing the validity and construct reliability of each indicator, then testing the structural model to determine the relationship between the variables in the research model. Data was collected by distributing a 5-point Likert scale questionnaire, obtained 400 respondents who had done telemedicine with health applications at least once during the pandemic. Research results: system quality and interaction quality shape telemedicine service quality, telemedicine service quality has a positive effect on customer satisfaction and continual usage, customer satisfaction has a positive effect on continual usage. In addition, it was found that telemedicine service quality fully mediates in influencing system quality and interaction quality on customer satisfaction., customer satisfaction fully mediates in influencing telemedicine service quality on continual usage of health applications. Managerial Implications: as an evaluation material for health applications in maintaining and increasing customer satisfaction and continual usage.
Keywords
Full Text:
PDFReferences
Abdullateef, AO, Iwu, CG, Kareem, O., & Manzuma-Ndaaba, NM (2015). Determining customer continuous online usage intention in the airline industry. Research and investment management implications. Innovative Marketing, 11(1), 13.
Akter, S., D'Ambra, J., Ray, P., & Hani, U. (2013). Modelling the impact of mHealth service quality on satisfaction, continuance and quality of life. Behaviour & Information Technology, 32(12), 1225–1241. https://doi.org/10.1080/0144929X.2012.745606
Akter, S., Wamba, SF, & D'Ambra, J. (2019). Enabling a transformative service system by modeling quality dynamics. International Journal of Production Economics, 207, 210–226. https://doi.org/10.1016/j.ijpe.2016.08.025
Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351. https://doi.org/10.2307/3250921
Cho, J. (2016). The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics, 87, 75–83. https://doi.org/10.1016/j.ijmedinf.2015.12.016
Choi, H., Lee, M., Yonsei University. Korea, Im, K., Yonsei University. Korea, Kim, J., & Yonsei University. Korea. (2007). Contribution to Quality of Life: A New Outcome Variable for Mobile Data Service. Journal of the Association for Information Systems, 8(12), 598–618. https://doi.org/10.17705/1jais.00146
Choudhury, K. (2013). Service quality and customers' purchase intentions: An empirical study of the Indian banking sector. International Journal of Bank Marketing, 31(7), 529–543. https://doi.org/10.1108/IJBM-02-2013-0009
CNN Indonesia. (2021, December 18). 7 Aplikasi Konsultasi Kesehatan Online, Berobat Jarak Jauh. https://www.cnnindonesia.com/teknologi/20211215125031-185-734335/7-aplikasi-konsultasi-kesehatan-online-berobat-jarak-jauh/2
CNN Indonesia. (2022). Cara Dapatkan Obat Gratis untuk Pasien Isoman Covid Omicron.
Dagger, TS, Sweeney, JC, & Johnson, LW (2007). A Hierarchical Model of Health Service Quality: Scale Development and Investigation of an Integrated Model. Journal of Service Research, 10(2), 123–142. https://doi.org/10.1177/1094670507309594
Frank, MZ, & Goyal, VK (2009). Capital Structure Decisions: Which Factors Are Reliably Important ? 1–37.
Gujarati, DN, & Porter, DC (2009). Basic Econometrics. McGraw-Hill.
Hadji, B., & Degoulet, P. (2016). Information system end-user satisfaction and continuance intention: A unified modeling approach. Journal of Biomedical Informatics, 61, 185–193. https://doi.org/10.1016/j.jbi.2016.03.021
Hollander, JE, & Carr, BG (2020). Virtually Perfect? Telemedicine for Covid-19. New England Journal of Medicine, 382(18), 1679–1681. https://doi.org/10.1056/NEJMp2003539
Inan, DI, Hidayanto, AN, Juita, R., Soemawilaga, FF, Melinda, F., Puspacinantya, P., & Amalia, Y. (2021). Service quality and self-determination theory towards continuance usage intention of mobile banking. Journal of Science and Technology Policy Management, ahead-of-print(ahead-of-print). https://doi.org/10.1108/JSTPM-01-2021-0005
Kante, M., Chepken, C., & Oboko, R. (2018). Partial Least Square Structural Equation Modelling' use in Information Systems: An Updated Guideline of Practices in Exploratory Settings. 6(1), 20.
Ko, C.-H., & Chou, C.-M. (2020). Apply the SERVQUAL Instrument to Measure Service Quality for the Adaptation of ICT Technologies: A Case Study of Nursing Homes in Taiwan. Healthcare, 8(2), 108. https://doi.org/10.3390/healthcare8020108
Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods: Sample size in PLS-based SEM. Information Systems Journal, 28(1), 227–261. https://doi.org/10.1111/isj.12131
Kompas. (2021). Kebijakan COVID-19 dari PSBB hingga PPKM Empat Level. https://kompaspedia.kompas.id/baca/infografik/kronologi/kebijakan-covid-19-dari-psbb-hingga-ppkm-empat-level
LeRouge, C., Garfield, M., & Hevner, A. (2014). Patient perspectives of telemedicine quality. Patient Preference and Adherence, 25. https://doi.org/10.2147/PPA.S67506
Li, W., Yang, Y., Liu, Z.-H., Zhao, Y.-J., Zhang, Q., Zhang, L., Cheung, T., & Xiang, Y.-T. (2020). Progression of Mental Health Services during the COVID-19 Outbreak in China. International Journal of Biological Sciences, 16(10), 1732–1738. https://doi.org/10.7150/ijbs.45120
Lin, Y.-H., Guo, J.-L., Hsu, H.-P., Yang, L.-S., Fu, Y.-L., & Huang, C.-M. (2019). Does “hospital loyalty” matter? Factors related to the intention of using a mobile app. Patient Preference and Adherence, Volume 13, 1283–1294. https://doi.org/10.2147/PPA.S207031
Meng, F., Guo, X., Peng, Z., Ye, Q., & Lai, K.-H. (2022). Trust and elderly users' continuance intention regarding mobile health services: The contingent role of health and technology anxieties. Information Technology & People, 35(1), 259–280. https://doi.org/10.1108/ITP-11-2019-0602
Morozov, S., Guseva, E., Ledikhova, N., Vladzymyrskyy, A., & Safronov, D. (2018). Telemedicine-based system for quality management and peer review in radiology. Insights into Imaging, 9(3), 337–341. https://doi.org/10.1007/s13244-018-0629-y
Nelson, RR, Todd, PA, & Wixom, BH (2005). Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing. Journal of Management Information Systems, 21(4), 199–235. https://doi.org/10.1080/07421222.2005.11045823
Nicholls, AD (2020). Covid-19 and Barbados: Measured and transparent policy responses. The Round Table, 109(3), 318–319. https://doi.org/10.1080/00358533.2020.1757280
Ningrum, P. A., et al. (2020). The Potential of Poverty in the City of Palangka Raya: Study SMIs Affected Pandemic Covid 19. Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Volume 3, No 3, Page: 1626-1634
Oh, H., & Kim, K. (2017). Customer satisfaction, service quality, and customer value: Years 2000-2015. International Journal of Contemporary Hospitality Management, 29(1), 2–29. https://doi.org/10.1108/IJCHM-10-2015-0594
Oppong, E., Hinson, RE, Adeola, O., Muritala, O., & Kosiba, JP (2021). The effect of mobile health service quality on user satisfaction and continual usage. Total Quality Management & Business Excellence, 32(1–2), 177–198. https://doi.org/10.1080/14783363.2018.1541734
Quinan, C., & Costa Filho, BA (2021). Hospitality as differentiated services in Brazilian private hospitals. Journal of Hospitality and Tourism Insights, 4(4), 473–489. https://doi.org/10.1108/JHTI-11-2019-0117
Rahi, S., Khan, MM, & Alghizzawi, M. (2021). Factors influencing the adoption of telemedicine health services during COVID-19 pandemic crisis: An integrative research model. Enterprise Information Systems, 15(6), 769–793. https://doi.org/10.1080/17517575.2020.1850872
Rho, MJ, Choi, I. young, & Lee, J. (2014). Predictive factors of telemedicine service acceptance and behavioral intention of physicians. International Journal of Medical Informatics, 83(8), 559–571. https://doi.org/10.1016/j.ijmedinf.2014.05.005
Roziqin, A., Mas'udi, SYF, & Sihidi, IT (2021). An analysis of Indonesian government policies against COVID-19. Public Administration and Policy, 24(1), 92–107. https://doi.org/10.1108/PAP-08-2020-0039
Säilä, T., Mattila, E., Kaila, M., Aalto, P., & Kaunonen, M. (2008). Measuring patient assessments of the quality of outpatient care: A systematic review: Measuring quality of outpatient care. Journal of Evaluation in Clinical Practice, 14(1), 148–154. https://doi.org/10.1111/j.1365-2753.2007.00824.x
Sari, GG, & Wirman, W. (2021). Telemedicine sebagai Media Konsultasi Kesehatan di Masa Pandemic COVID 19 di Indonesia. Jurnal Komunikasi, 15(1), 43–54. https://doi.org/10.21107/ilkom.v15i1.10181
Sarstedt, M., Ringle, CM, & Hair, JF (2017). Partial Least Squares Structural Equation Modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of Market Research (pp. 1–40). Springer International Publishing. https://doi.org/10.1007/978-3-319-05542-8_15-1
Shahrul, AI, & Abd Rahman, ANA (2021). Telemedicine as an Alternative Way to Provide Multidisciplinary Cleft Care During the COVID-19 Pandemic. The Open Dentistry Journal, 15(1), 446–450. https://doi.org/10.2174/1874210602115010446
Shankar, A., & Jebarajakirthy, C. (2019). The influence of e-banking service quality on customer loyalty: A moderated mediation approach. International Journal of Bank Marketing, 37(5), 1119–1142. https://doi.org/10.1108/IJBM-03-2018-0063
Sunjaya, AP (2019). Potensi, Aplikasi dan Perkembangan Digital Health di Indonesia. https://doi.org/10.13140/RG.2.2.31918.66886
Tantarto, T., Kusnadi, D., & Sukandar, H. (2020). Analysis of Service Quality Towards Patient Satisfaction (Comparative Study of Patients Using Telemedicine Application and Face to Face Consultation in Healthcare). European Journal of Business and Management Research, 5(5). https://doi.org/10.24018/ejbmr.2020.5.5.516
Veeramootoo, N., Nunkoo, R., & Dwivedi, YK (2018). What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage. Government Information Quarterly, 35(2), 161–174. https://doi.org/10.1016/j.giq.2018.03.004
Verma, P., Kumar, S., & Sharma, SK (2022). Evaluating the total quality and its role in measuring consumer satisfaction with e-healthcare services using the 5Qs model: A structure equation modeling approach. Benchmarking: An International Journal, 29(1), 22–46. https://doi.org/10.1108/BIJ-09-2020-0467
Wagner, M. (2013). “Green” Human Resource Benefits: Do they Matter as Determinants of Environmental Management System Implementation? Journal of Business Ethics, 114(3), 443–456. https://doi.org/10.1007/s10551-012-1356-9
WHO. (2022). WHO Coronavirus Disease (COVID-19) dashboard. https://covid19.who.int/
DOI: https://doi.org/10.33258/birci.v5i3.6396
Article Metrics
Abstract view : 95 timesPDF - 50 times
Refbacks
- There are currently no refbacks.

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

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