Effectiveness of Telemedicine-Based Health Programs on Accessibility of Health Services in Remote Areas: A Case Study in Talaud Islands Regency, North Sulawesi

Authors

  • Harma Universitas Muslim Indonesia

DOI:

https://doi.org/10.37899/mjdh.v1i4.123

Keywords:

Telemedicine, Healthcare Accessibility, Patient Satisfaction, Rural Health, Digital Literacy

Abstract

This study examines the effectiveness of telemedicine-based health programs in enhancing healthcare accessibility, patient satisfaction, and service quality in the Talaud Islands Regency, North Sulawesi. A quantitative research design was employed, utilizing descriptive and inferential statistical methods, including t-tests, regression analysis, and ANOVA, to analyse data from 300 respondents. The results show that telemedicine significantly reduces travel time, increases satisfaction, and improves access to both general and specialist healthcare services. Frequent telemedicine using correlates with higher patient satisfaction, particularly among older adults and those with higher education. The findings underscore the importance of digital literacy and education in the successful adoption of telemedicine in rural areas. This research contributes to the literature on telemedicine by addressing gaps related to its application in underserved regions, offering valuable insights for policymakers aiming to improve healthcare delivery in remote areas.

References

Adeghe, E. P., Okolo, C. A., & Ojeyinka, O. T. (2024). A review of emerging trends in telemedicine: Healthcare delivery transformations. International Journal of Life Science Research Archive, 6(1), 137-147. https://doi.org/10.53771/ijlsra.2024.6.1.0040

Almathami, R., Khoo-Lattimore, C., & Yang, E. C. L. (2022). Exploring the challenges for women working in the event and festival sector in the Kingdom of Saudi Arabia. Tourism Recreation Research, 47(1), 47-61. https://doi.org/10.1080/02508281.2020.1821329

Bitar, H., & Alismail, S. (2021). The role of eHealth, telehealth, and telemedicine for chronic disease patients during COVID-19 pandemic: A rapid systematic review. Digital health, 7, 20552076211009396. https://doi.org/10.1177/20552076211009396

Boyd, R. L., & Schwartz, H. A. (2021). Natural language analysis and the psychology of verbal behavior: The past, present, and future states of the field. Journal of Language and Social Psychology, 40(1), 21-41. https://doi.org/10.1177/0261927X20967028

Debie, A., Khatri, R. B., & Assefa, Y. (2022). Successes and challenges of health systems governance towards universal health coverage and global health security: a narrative review and synthesis of the literature. Health research policy and systems, 20(1), 50. https://doi.org/10.1186/s12961-022-00858-7

Dorsey, E. R., & Topol, E. J. (2020). Telemedicine 2020 and the next decade. The Lancet, 395(10227), 859. http://dx.doi.org/10.7326/M19-0600

Effendi, D. E., Handayani, S., Nugroho, A. P., Ardani, I., Fitrianti, Y., Karlina, K., & Latifah, C. (2024). The significance of physician-patient communication on telemedicine patients’ health outcomes: Evidence from indonesia. Health Communication, 39(10), 1932-1941. https://doi.org/10.1080/10410236.2023.2247852

Fauzi, M. L., & Pratama, A. P. Proposed Solutions Regarding Work Overload for the Marketing Division of PT. Persib Bandung Bermartabat.

Ftouni, R., AlJardali, B., Hamdanieh, M., Ftouni, L., & Salem, N. (2022). Challenges of telemedicine during the COVID-19 pandemic: a systematic review. BMC medical informatics and decision making, 22(1), 207. https://doi.org/10.1186/s12911-022-01952-0

George, A. S., & George, A. H. (2023). Telemedicine: A New Way to Provide Healthcare. Partners Universal International Innovation Journal, 1(3), 98-129. https://doi.org/10.5281/zenodo.8075850

Haleem, A., Javaid, M., Singh, R. P., & Suman, R. (2021). Telemedicine for healthcare: Capabilities, features, barriers, and applications. Sensors international, 2, 100117. https://doi.org/10.1016/j.sintl.2021.100117

Handayani, S., Hussin, M., & Norman, M. (2023). Technological pedagogical content knowledge (TPACK) model in teaching: A review and bibliometric analysis. Pegem Journal of Education and Instruction, 13(3), 176-190. https://doi.org/10.47750/pegegog.13.03.19

Jiang, Y., Sun, P., Chen, Z., Guo, J., Wang, S., Liu, F., & Li, J. (2022). Patients’ and healthcare providers’ perceptions and experiences of telehealth use and online health information use in chronic disease management for older patients with chronic obstructive pulmonary disease: a qualitative study. BMC geriatrics, 22, 1-16. https://doi.org/10.1186/s12877-021-02702-z

Joshi, Y., Uniyal, D. P., & Sangroya, D. (2021). Investigating consumers’ green purchase intention: Examining the role of economic value, emotional value and perceived marketplace influence. Journal of Cleaner Production, 328, 129638. https://doi.org/10.1016/j.jclepro.2021.129638

Kelley, L. T., Phung, M., Stamenova, V., Fujioka, J., Agarwal, P., Onabajo, N., ... & Bhattacharyya, O. (2020). Exploring how virtual primary care visits affect patient burden of treatment. International Journal of Medical Informatics, 141, 104228. https://doi.org/10.1016/j.ijmedinf.2020.104228

Khera, A., Baum, S. J., Gluckman, T. J., Gulati, M., Martin, S. S., Michos, E. D., ... & Shapiro, M. D. (2020). Continuity of care and outpatient management for patients with and at high risk for cardiovascular disease during the COVID-19 pandemic: A scientific statement from the American Society for Preventive Cardiology. American journal of preventive cardiology, 1, 100009. https://doi.org/10.1016/j.ajpc.2020.100009

Krausz, A. E., Ji-Xu, A., Smile, T., Koyfman, S., Schmults, C. D., & Ruiz, E. S. (2021). A systematic review of primary, adjuvant, and salvage radiation therapy for cutaneous squamous cell carcinoma. Dermatologic Surgery, 47(5), 587-592. https://doi.org/10.1097/DSS.0000000000002965

Kruse, C. S., Krowski, N., Rodriguez, B., Tran, L., Vela, J., & Brooks, M. (2017). Telehealth and patient satisfaction: a systematic review and narrative analysis. BMJ open, 7(8), e016242. https://doi.org/10.1136/bmjopen-2017-016242

Kundu, S., Rahman, N., & Pan, S. (2022). Enhancing ASEAN-India Partnership in e-VBAB: Challenges, Opportunities and the Way Forward. Thirty Years of ASEAN-India Relations, 423-462. https://doi.org/10.4324/9781032617497

Mahendradhata, Y., Andayani, N. L. P. E., Hasri, E. T., Arifi, M. D., Siahaan, R. G. M., Solikha, D. A., & Ali, P. B. (2021). The capacity of the Indonesian healthcare system to respond to COVID-19. Frontiers in public health, 9, 649819. https://doi.org/10.3389/fpubh.2021.649819

Monaghesh, E., & Hajizadeh, A. (2020). The role of telehealth during COVID-19 outbreak: a systematic review based on current evidence. BMC public health, 20, 1-9. https://doi.org/10.1186/s12889-020-09301-4

Nassi, M., Riza, E., & Bouziani, E. (2023). Sustainably Driven Telemedicine for Chronic Illness Patient Satisfaction: Pre and Post Pandemic. SDGs in the European Region, 411-424. https://doi.org/10.1007/978-3-031-17461-2_99

Omboni, S., Padwal, R. S., Alessa, T., Benczúr, B., Green, B. B., Hubbard, I., ... & Wang, J. (2022). The worldwide impact of telemedicine during COVID-19: current evidence and recommendations for the future. Connected health, 1, 7. https://doi.org/10.20517/ch.2021.03

Pereno, A., & Eriksson, D. (2020). A multi-stakeholder perspective on sustainable healthcare: From 2030 onwards. Futures, 122, 102605. https://doi.org/10.1016/j.futures.2020.102605

Prynn, J., Alinaitwe, R., Kimono, B., Peto, T., Ashton, N. J., Steves, C. J., ... & Prince, M. (2024). Nested case control study of prevalence and aetiology of dementia in a rural Ugandan population, and a situational analysis of services available for affected families: a protocol. Part of the DEPEND Uganda study (Dementia EPidemiology, unmet Need and co-Developing Solutions). Wellcome Open Research, 9, 544. https://doi.org/10.12688/wellcomeopenres.22944.1

Putri, I. R. S. (2023). Analisis Pelanggaran Hukum Lingkungan yang Mengakibatkan Banjir Kalimantan Selatan Januari 2021. JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah, 8(2), 353-368. https://doi.org/10.24815/jimps.v8i2.24652

Rauniyar, A., Hagos, D. H., Jha, D., Håkegård, J. E., Bagci, U., Rawat, D. B., & Vlassov, V. (2023). Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2023.3329061

Savitz, L. A., & Bayliss, E. A. (2021). Emerging models of care for individuals with multiple chronic conditions. Health services research, 56, 980-989. https://doi.org/10.1111/1475-6773.13774

Shahid, J., Ahmad, R., Kiani, A. K., Ahmad, T., Saeed, S., & Almuhaideb, A. M. (2022). Data protection and privacy of the internet of healthcare things (IoHTs). Applied Sciences, 12(4), 1927. https://doi.org/10.3390/app12041927

Sharma, P., Bir, J., & Prakash, S. (2023, December). Navigating Privacy and Security Challenges in Electronic Medical Record (EMR) Systems: Strategies for Safeguarding Patient Data in Developing Countries–A Case Study of the Pacific. In International Conference on Medical Imaging and Computer-Aided Diagnosis (pp. 375-386). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-97-1335-6_33

Shaw, E., Walpole, S., McLean, M., Alvarez-Nieto, C., Barna, S., Bazin, K., ... & Woollard, R. (2021). AMEE Consensus Statement: Planetary health and education for sustainable healthcare. Medical teacher, 43(3), 272-286. https://doi.org/10.1080/0142159X.2020.1860207

Singh, B., & Kaunert, C. (2024). Embryonic Machine-Deep Learning, Smart Healthcare and Privacy Deliberations in Hospital Industry: Lensing Confidentiality of Patient’s Information and Personal Data in Legal-Ethical Landscapes Projecting Futuristic Dimensions. In Healthcare Industry Assessment: Analyzing Risks, Security, and Reliability (pp. 149-170). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-65434-3_7

Sun, H., Saeedi, P., Karuranga, S., Pinkepank, M., Ogurtsova, K., Duncan, B. B., ... & Magliano, D. J. (2022). IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes research and clinical practice, 183, 109119. https://doi.org/10.1016/j.diabres.2021.109119

Volz, E., Mishra, S., Chand, M., Barrett, J. C., Johnson, R., Geidelberg, L., ... & Ferguson, N. M. (2021). Assessing transmissibility of SARS-CoV-2 lineage B. 1.1. 7 in England. Nature, 593(7858), 266-269. https://doi.org/10.1038/s41586-021-03470-x

Wang, H., Wang, Z., Dong, Y., Chang, R., Xu, C., Yu, X., ... & Cai, Y. (2020). Phase-adjusted estimation of the number of coronavirus disease 2019 cases in Wuhan, China. Cell discovery, 6(1), 10

Downloads

Published

2024-12-25