Evaluating the Impact of Digital Health Interventions on Diabetes Management in Indonesia
DOI:
https://doi.org/10.37899/mjdh.v1i2.93Keywords:
Digital Health Interventions, Diabetes Management, IndonesiaAbstract
This study examines the impact of digital health interventions (DHIs) on diabetes management among patients in Indonesia, focusing on their effectiveness in improving clinical outcomes and identifying barriers to widespread adoption. Using a quantitative approach, data were collected from 300 patiets and analyzed for changes in HbA1c levels, while healthcare providers provided insights into the practical challenges of implementing digital tools. Results showed that high-frequency users of DHIs experienced significant improvements in glycemic control, with a mean reduction in HbA1c of 1.4%. However, challenges such as limited digital literacy, concerns about data privacy, and the need for training were identified as key barriers. Addressing these issues is essential for optimizing the use of digital health solutions and enhancing the accessibility of diabetes care in Indonesia. This study provides valuable insights for policymakers and healthcare providers aiming to integrate digital health more effectively into diabetes management strategies.
References
Agustina, R., Dartanto, T., Sitompul, R., Susiloretni, K. A., Achadi, E. L., Taher, A., ... & Khusun, H. (2019). Universal health coverage in Indonesia: concept, progress, and challenges. The Lancet, 393(10166), 75-102.
Amir, A. S., Mulyana, D., Dida, S., & Suminar, J. R. (2024). Digital Divide and Privacy Challenges in Digital Health Communication in Indonesia. Evolutionary Studies In Imaginative Culture. https://doi.org/10.70082/esiculture.vi.733
Anderson, K., Burford, O., & Emmerton, L. (2016). Mobile health apps to facilitate self-care: a qualitative study of user experiences. PloS one, 11(5), e0156164. https://doi.org/10.1371/journal.pone.0156164
Doyle, J., Murphy, E., Gavin, S., Pascale, A., Deparis, S., Tommasi, P., ... & Dinsmore, J. (2021). A digital platform to support self-management of multiple chronic conditions (ProACT): findings in relation to engagement during a one-year proof-of-concept trial. Journal of medical Internet research, 23(12), e22672. https://doi.org/10.2196/22672
Duffy, A., Christie, G. J., & Moreno, S. (2022). The challenges toward real-world implementation of digital health design approaches: narrative review. JMIR Human Factors, 9(3), e35693. https://doi.org/10.2196/35693
Garfinkel, S., Ingle, E., Seth, A., Shrestha, P., Badshah, A., & Patel, R. (2023). Gender and the primary health care system: the role of digital tools with case studies in India, Indonesia & Nigeria. Gates Open Res, 7(60), 60. https://doi.org/10.21955/gatesopenres.1117019.1
Haider, R., Sudini, L., Chow, C. K., & Cheung, N. W. (2019). Mobile phone text messaging in improving glycaemic control for patients with type 2 diabetes mellitus: a systematic review and meta-analysis. Diabetes research and clinical practice, 150, 27-37. https://doi.org/10.1016/j.diabres.2019.02.022
Idaiani, S., Hendarwan, H., & Herawati, M. H. (2023). Disparities of health program information systems in indonesia: a cross-sectional indonesian health facility research 2019. International Journal of Environmental Research and Public Health, 20(5), 4384. https://doi.org/10.3390/ijerph20054384
Jones-Esan, L., Somasiri, N., & Lorne, K. (2024). Enhancing healthcare delivery through digital health interventions: a systematic review on telemedicine and mobile health applications in Low and Middle-Income Countries (LMICs). Research Square. https://doi.org/10.21203/rs.3.rs-5189203/v1
Kebede, M. M., Zeeb, H., Peters, M., Heise, T. L., & Pischke, C. R. (2018). Effectiveness of digital interventions for improving glycemic control in persons with poorly controlled type 2 diabetes: a systematic review, meta-analysis, and meta-regression analysis. Diabetes technology & therapeutics, 20(11), 767-782. https://doi.org/10.1089/dia.2018.0216
Kurniawan, F., Sigit, F. S., Trompet, S., Yunir, E., Tarigan, T. J. E., Harbuwono, D. S., ... & de Mutsert, R. (2024). Lifestyle and clinical risk factors in relation with the prevalence of diabetes in the Indonesian urban and rural populations: The 2018 Indonesian Basic Health Survey. Preventive Medicine Reports, 38, 102629. https://doi.org/10.1016/j.pmedr.2024.102629
Lee, P. A., Greenfield, G., & Pappas, Y. (2018). The impact of telehealth remote patient monitoring on glycemic control in type 2 diabetes: a systematic review and meta-analysis of systematic reviews of randomised controlled trials. BMC health services research, 18(1), 495. https://doi.org/10.1186/s12913-018-3274-8
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
Mwanza, J., Telukdarie, A., & Igusa, T. (2023). Impact of industry 4.0 on healthcare systems of low-and middle-income countries: a systematic review. Health and Technology, 13(1), 35-52. https://doi.org/10.1007/s12553-022-00714-2
Nanda, M., Sharma, R., Mubarik, S., Aashima, A., & Zhang, K. (2022). Type-2 diabetes mellitus (T2DM): spatial-temporal patterns of incidence, mortality and attributable risk factors from 1990 to 2019 among 21 world regions. Endocrine, 77(3), 444-454. https://doi.org/10.1007/s12020-022-03125-5
Rahman, F. F. (2024). Indonesia’s healthcare landscape: embracing innovation in the new health regime. Current Medical Research and Opinion, 40(6), 929-933. https://doi.org/10.1080/03007995.2024.2349732
Ramachandran, A., Snehalatha, C., & Ma, R. C. W. (2014). Diabetes in south-east Asia: An update. Diabetes research and clinical practice, 103(2), 231-237. https://doi.org/10.1016/j.diabres.2013.11.011
Rollo, M. E., Aguiar, E. J., Williams, R. L., Wynne, K., Kriss, M., Callister, R., & Collins, C. E. (2016). eHealth technologies to support nutrition and physical activity behaviors in diabetes self-management. Diabetes, metabolic syndrome and obesity: targets and therapy, 381-390. https://doi.org/10.2147/dmso.s95247
Sharma, V., Feldman, M., & Sharma, R. (2024). Telehealth technologies in diabetes self-management and education. Journal of diabetes science and technology, 18(1), 148-158. https://doi.org/10.1177/19322968221093078
Shen, Y., Wang, F., Zhang, X., Zhu, X., Sun, Q., Fisher, E., & Sun, X. (2018). Effectiveness of internet-based interventions on glycemic control in patients with type 2 diabetes: meta-analysis of randomized controlled trials. Journal of medical Internet research, 20(5), e172. https://doi.org/10.2196/jmir.9133
Ulfa, M., Setyonugroho, W., Lestari, T., Widiasih, E., & Nguyen Quoc, A. (2022). Nutrition‐Related Mobile Application for Daily Dietary Self‐Monitoring. Journal of nutrition and metabolism, 2022(1), 2476367. https://doi.org/10.1155/2022/2476367
van de Vijver, S., Hummel, D., van Dijk, A. H., Cox, J., van Dijk, O., Van den Broek, N., & Metting, E. (2022). Evaluation of a digital self-management platform for patients with chronic illness in primary care: qualitative study of stakeholders’ perspectives. JMIR formative research, 6(8), e38424. https://doi.org/10.2196/38424
Velaga, N. R., Beecroft, M., Nelson, J. D., Corsar, D., & Edwards, P. (2012). Transport poverty meets the digital divide: accessibility and connectivity in rural communities. Journal of Transport Geography, 21, 102-112. https://doi.org/10.1016/j.jtrangeo.2011.12.005
Wu, I. X. Y., Kee, J. C. Y., Threapleton, D. E., Ma, R. C. W., Lam, V. C. K., Lee, E. K. P., ... & Chung, V. C. H. (2018). Effectiveness of smartphone technologies on glycaemic control in patients with type 2 diabetes: systematic review with meta‐analysis of 17 trials. Obesity Reviews, 19(6), 825-838. https://doi.org/10.1111/obr.12669
Wulandari, R. D., Laksono, A. D., Rohmah, N., Latifah, L., & Ashar, H. (2023). Determine The Target to Increase Primary Healthcare Utilization in Indonesia's Disadvantaged Areas. Editorial Board Of Indonesian Journal Of Health Administration, 11(2). https://doi.org/10.20473/jaki.v11i2.2023.299-310
Zerfu, T. A., Asressie, M., Begna, Z., Habtamu, T., Werkneh, N., Nigatu, T., ... & Genta, A. (2024). Unveiling the role of DHIS2 in enhancing data quality and accessibility in primary healthcare facilities: Evidence from Ethiopia. PLoS One, 19(12), e0314505. https://doi.org/10.1371/journal.pone.0314505
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Magenta Journal De Healthymedi
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This journal provides direct open access to it's content on the principle that research is freely available to the public supporting a greater global exchange of knowledge. All articles published by Open Access will soon and forever be free for everyone to read and download. The license options defined for this journal are Creative Commons Attribution-ShareAlike (CC BY-SA)
