TELEMEDICINE ACCEPTANCE AND USAGE IN JAKARTA METROPOLITAN AREA
Abstract
Purposes: The purpose of this research is to measure the acceptability of telemedicine services in Jakarta metropolitan area, the factors that determine it, and whether the level of acceptance correlates with the usage frequency of telemedicine.
Methods: Data used in this study is acquired with an online survey from February to March 2022, targeting residents of the Greater Jakarta area. Instruments used in this survey are demographic data form and SUTAQ questionnaire translated into Indonesian. Of the total 454 respondents, 200 have used telemedicine in the last six months. Respondents were then divided into several groups based on age, gender, monthly income, education level, chronic conditions, health insurance membership, and frequency of telemedicine use. Bivariate analysis was conducted using chi-square test for categorical data and t-test for numerical data.
Results: The assessment of the SUTAQ scores indicates good acceptance of telemedicine in all demographic groups. Increased accessibility to health services and satisfactory user experience have contributed to its good acceptance. However, we also found that the frequency of use was not correlated with the level of acceptance, but positively correlated with the presence of chronic conditions.
Conclusions: Telemedicine is well received by users who live in the Greater Jakarta area. Users find it easier to access health services and are satisfied with the health services provided through telemedicine.
Keywords
Full Text:
PDFReferences
Asosiasi Penyelenggara Jasa Internet Indonesia. (2022). Laporan Survei Internet APJII 2019-2020-Q2.
Atmojo, J., Sudaryanto, W., Widiyanto, A., Ernawati, E., & Arradini, D. 2020. Telemedicine, Cost Effectiveness, and Patients Satisfaction: A Systematic Review. Journal Of Health Policy And Management, 5(2), 103-107. doi: 10.26911/thejhpm.2020.05.02.02
Chudasama YV, Gillies CL, Zaccardi F, Coles B, Davies MJ, Seidu S, et al. 2020. Impact of COVID-19 on Routine Care for Chronic Diseases: A Global Survey of Views From Healthcare Professionals. Diabetes Metab Syndr. 14(5):9657.
Corbett, J. A., Opladen, J. M., & Bisognano, J. D. 2020. Telemedicine can revolutionize the treatment of chronic disease. International Journal of Cardiology & Hypertension, 7, 100051. https://doi.org/10.1016/j.ijchy.2020.100051
Hirani, S., Rixon, L., Beynon, M., Cartwright, M., Cleanthous, S., Selva, A., Sanders, C. and Newman, S. 2016. Quantifying beliefs regarding telehealth: Development of the Whole Systems Demonstrator Service User Technology Acceptability Questionnaire. Journal of Telemedicine and Telecare, 23(4), pp.460-469.
Kementerian Kesehatan Republik Indonesia. Peraturan Menteri Kesehatan Nomor 20 Tahun 2019 Penyelenggaraan Pelayanan Telemedicine Antar Fasilitas Pelayanan Kesehatan. 890 2019 p. 3.
Kichloo, A., Albosta, M., Dettloff, K., Wani, F., El-Amir, Z., Singh, J., Aljadah, M., Chakinala, R. C., Kanugula, A. K., Solanki, S., & Chugh, S. 2020. Telemedicine, the current COVID-19 pandemic and the future: a narrative review and perspectives moving forward in the USA. Family medicine and community health, 8(3), e000530. https://doi.org/10.1136/fmch-2020-000530
Nugraha B, Wahyuni LK, Laswati H, Kusumastuti P, Tulaar AB, Gutenbrunner C. 2020. COVID-19 Pandemic in Indonesia: Situation and challenges of rehabilitation medicine in Indonesia. Acta Medica Indones. 52(3):299305.
Partakusuma LG. 2021. Update RS Darurat Wisma Atlet: Dampak PPKM terhadap Tingkat Hunian Rumah Sakit. Perhimpunan Rumah Sakit Seluruh Indonesia
Powell, R. E., Henstenburg, J. M., Cooper, G., Hollander, J. E., & Rising, K. L. 2017. Patient Perceptions of Telehealth Primary Care Video Visits. Annals of family medicine, 15(3), 225229. https://doi.org/10.1370/afm.2095
UNICEF. 2021. Rapid Assessment Impact of COVID-19 Pandemic on Immunization Services in Indonesia
Roberton T, Carter ED, Chou VB, Stegmuller AR, Jackson BD, Tam Y, et al. 2020. Early Estimates of The Indirect Effects of The COVID-19 Pandemic on Maternal and Child Mortality in Low-Income and Middle-Income Countries: A Modelling Study. Lancet Glob Health. Jul;8(7):e9018.
Sechrist, E., Dong, F., Lee, C., Chon, K., Neeki, A., Winston, L., Borger, R., & Neeki, M. M. 2020. Patients' Perception of Telemedicine in a Large Urban Inner-City Emergency Department: A Cross-Sectional Survey. Cureus, 12(10), e11091.
Wijaya, M., 2022. The Estimation of Excess Mortality during the COVID-19 Pandemic in Jakarta, Indonesia. Kesmas: National Public Health Journal. 2022; 17 (1): 25-31
Wijaya, V., Paramitha, D., & Pinzon, R. (2020). Acceleration of Telemedicine Use for Chronic Neurological Disease Patients during COVID-19 Pandemic in Yogyakarta, Indonesia: A Case Series Study. Kesmas: National Public Health Journal, 15(2).
Wolfe, M. K., McDonald, N. C., & Holmes, G. M. (2020). Transportation Barriers to Health Care in the United States: Findings From the National Health Interview Survey, 19972017. American Journal of Public Health, 110(6), 815822.
DOI: https://doi.org/10.33508/jwmj.v4i3.4095
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Journal of Widya Medika Junior is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License