Effectiveness of the use of various digital applications to promote public health in Indonesia: A study of the impact of technology on public health


Budi Sulistiyo Nugroho Nugroho
Maulana Filani Rizal
B.M.A.S. Anaconda Bangkara
Leila Mona Ganiem
Reza Yuridian Purwoko


This study was conducted to gain an in-depth understanding of what and how effective the use of digital applications to promote public health is due to the increasingly powerful impact of technology, including public health. This elephant utilizes the data we search electronically on compounds of health publications and technologies released between 2010 and 2022. We examine them under a biological approach that involves a series of techniques such as coding the data, evaluating the data thoroughly, and approaching conclusions so that we will get answers. Finally, digital applications to promote public health, especially in Indonesia, are a non-negotiable necessity, considering the effectiveness and innovation provided by technology that can complete health tasks that have been carried out manually. These findings will be helpful for further studies.


How to Cite
Nugroho, B. S. N., Filani Rizal, M., Bangkara, B. A., Mona Ganiem, L. and Yuridian Purwoko, R. (2022) “Effectiveness of the use of various digital applications to promote public health in Indonesia: A study of the impact of technology on public health”, Science Midwifery, 10(5), pp. 3859-3868. doi: 10.35335/midwifery.v10i5.930.


Abad, Z. S. H., Butler, G. P., Thompson, W., & Lee, J. (2022). Physical Activity, Sedentary Behavior, and Sleep on Twitter: Multicountry and Fully Labeled Public Data Set for Digital Public Health Surveillance Research. JMIR Public Health and Surveillance, 8(2), e32355. https://doi.org/10.2196/32355
Albahri, A. H., Alnaqbi, S. A., Alnaqbi, S. A., Alshaali, A. O., & Shahdoor, S. M. (2021). Knowledge, Attitude, and Practice Regarding COVID-19 Among Healthcare Workers in Primary Healthcare Centers in Dubai: A Cross-Sectional Survey, 2020. Frontiers in Public Health, 9, 617679. https://doi.org/10.3389/fpubh.2021.617679
Awad, A., Trenfield, S. J., Pollard, T. D., Ong, J. J., Elbadawi, M., McCoubrey, L. E., Goyanes, A., Gaisford, S., & Basit, A. W. (2021). Connected healthcare: Improving patient care using digital health technologies. Advanced Drug Delivery Reviews, 178, 113958. https://doi.org/10.1016/j.addr.2021.113958
Bauer, U. E., Briss, P. A., Goodman, R. A., & Bowman, B. A. (2014). Prevention of chronic disease in the 21st century: Elimination of the leading preventable causes of premature death and disability in the USA. The Lancet, 384(9937), 45–52. https://doi.org/10.1016/S0140-6736(14)60648-6
Behera, M. K., Majumder, I., & Nayak, N. (2018). Solar photovoltaic power forecasting using optimized modified extreme learning machine technique. Engineering Science and Technology, an International Journal, 21(3), 428–438. https://doi.org/10.1016/j.jestch.2018.04.013
Bozkurt, A., Jung, I., Xiao, J., Vladimirschi, V., Schuwer, R., Egorov, G., Lambert, S., Al-Freih, M., Pete, J., Don Olcott, J., Rodes, V., Aranciaga, I., Bali, M., Alvarez, A. J., Roberts, J., Pazurek, A., Raffaghelli, J. E., Panagiotou, N., Coëtlogon, P. de, … Paskevicius, M. (2020). A global outlook to the interruption of education due to COVID-19 pandemic: Navigating in a time of uncertainty and crisis. Asian Journal of Distance Education, 15(1), Article 1.
Budd, J., Miller, B. S., Manning, E. M., Lampos, V., Zhuang, M., Edelstein, M., Rees, G., Emery, V. C., Stevens, M. M., Keegan, N., Short, M. J., Pillay, D., Manley, E., Cox, I. J., Heymann, D., Johnson, A. M., & McKendry, R. A. (2020). Digital technologies in the public-health response to COVID-19. Nature Medicine, 26(8), Article 8. https://doi.org/10.1038/s41591-020-1011-4
Campbell, S. (2014). What is qualitative research? Clinical Laboratory Science, 27(1), 3.
Chang, J. E., Lai, A. Y., Gupta, A., Nguyen, A. M., Berry, C. A., & Shelley, D. R. (2021). Rapid Transition to Telehealth and the Digital Divide: Implications for Primary Care Access and Equity in a Post-COVID Era. The Milbank Quarterly, 99(2), 340–368. https://doi.org/10.1111/1468-0009.12509
Chen, J., & See, K. C. (2020). Artificial Intelligence for COVID-19: Rapid Review. Journal of Medical Internet Research, 22(10), e21476. https://doi.org/10.2196/21476
Chib, A. (2010). The Aceh Besar midwives with mobile phones project: Design and evaluation perspectives using the information and communication technologies for healthcare development model. Journal of Computer-Mediated Communication, 15(3), 500–525. https://doi.org/10.1111/j.1083-6101.2010.01515.x
Choudhury, M. D., & De, S. (2014, May 16). Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity. Eighth International AAAI Conference on Weblogs and Social Media. Eighth International AAAI Conference on Weblogs and Social Media. https://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8075
Di Carlo, F., Sociali, A., Picutti, E., Pettorruso, M., Vellante, F., Verrastro, V., Martinotti, G., & di Giannantonio, M. (2021). Telepsychiatry and other cutting-edge technologies in COVID-19 pandemic: Bridging the distance in mental health assistance. International Journal of Clinical Practice, 75(1). https://doi.org/10.1111/ijcp.13716
Firouzi, F., Farahani, B., Daneshmand, M., Grise, K., Song, J., Saracco, R., Wang, L. L., Lo, K., Angelov, P., Soares, E., Loh, P.-S., Talebpour, Z., Moradi, R., Goodarzi, M., Ashraf, H., Talebpour, M., Talebpour, A., Romeo, L., Das, R., … Luo, A. (2021). Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World. IEEE Internet of Things Journal, 8(16), 12826–12846. https://doi.org/10.1109/JIOT.2021.3073904
Fleming, G. A., Petrie, J. R., Bergenstal, R. M., Holl, R. W., Peters, A. L., & Heinemann, L. (2019). Diabetes Digital App Technology: Benefits, Challenges, and Recommendations. A Consensus Report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group. Diabetes Care, 43(1), 250–260. https://doi.org/10.2337/dci19-0062
Galindo, R. J., Aleppo, G., Klonoff, D. C., Spanakis, E. K., Agarwal, S., Vellanki, P., Olson, D. E., Umpierrez, G. E., Davis, G. M., & Pasquel, F. J. (2020). Implementation of Continuous Glucose Monitoring in the Hospital: Emergent Considerations for Remote Glucose Monitoring During the COVID-19 Pandemic. Journal of Diabetes Science and Technology, 14(4), 822–832. https://doi.org/10.1177/1932296820932903
Gasser, U., Ienca, M., Scheibner, J., Sleigh, J., & Vayena, E. (2020). Digital tools against COVID-19: Taxonomy, ethical challenges, and navigation aid. The Lancet Digital Health, 2(8), e425–e434. https://doi.org/10.1016/S2589-7500(20)30137-0
Gunasekeran, D. V., Tham, Y.-C., Ting, D. S. W., Tan, G. S. W., & Wong, T. Y. (2021). Digital health during COVID-19: Lessons from operationalising new models of care in ophthalmology. The Lancet Digital Health, 3(2), e124–e134. https://doi.org/10.1016/S2589-7500(20)30287-9
Hallsworth, K., McPherson, S., Anstee, Q. M., Flynn, D., Haigh, L., & Avery, L. (2021). Digital Intervention With Lifestyle Coach Support to Target Dietary and Physical Activity Behaviors of Adults With Nonalcoholic Fatty Liver Disease: Systematic Development Process of VITALISE Using Intervention Mapping. Journal of Medical Internet Research, 23(1), e20491. https://doi.org/10.2196/20491
Hartt, M. (2021). COVID-19: A lonely pandemic. Cities & Health, 5(sup1), S80–S82. https://doi.org/10.1080/23748834.2020.1788770
Hermansyah, A., Sainsbury, E., & Krass, I. (2016). Community pharmacy and emerging public health initiatives in developing Southeast Asian countries: A systematic review. Health & Social Care in the Community, 24(5), e11–e22. https://doi.org/10.1111/hsc.12289
Kerkhof, Y., Pelgrum-Keurhorst, M., Mangiaracina, F., Bergsma, A., Vrauwdeunt, G., Graff, M., & Dröes, R.-M. (2019). User-participatory development of FindMyApps; a tool to help people with mild dementia find supportive apps for self-management and meaningful activities. DIGITAL HEALTH, 5, 2055207618822942. https://doi.org/10.1177/2055207618822942
Korda, H., & Itani, Z. (2013). Harnessing Social Media for Health Promotion and Behavior Change. Health Promotion Practice, 14(1), 15–23. https://doi.org/10.1177/1524839911405850
Krausz, M., Westenberg, J. N., Vigo, D., Spence, R. T., & Ramsey, D. (2020). Emergency Response to COVID-19 in Canada: Platform Development and Implementation for eHealth in Crisis Management. JMIR Public Health and Surveillance, 6(2), e18995. https://doi.org/10.2196/18995
Liang, F. (2020). COVID-19 and Health Code: How Digital Platforms Tackle the Pandemic in China. Social Media + Society, 6(3), 2056305120947657. https://doi.org/10.1177/2056305120947657
Link, M. W., Murphy, J., Schober, M. F., Buskirk, T. D., Hunter Childs, J., & Langer Tesfaye, C. (2014). Mobile Technologies for Conducting, Augmenting and Potentially Replacing Surveys: Executive Summary of the AAPOR Task Force on Emerging Technologies in Public Opinion Research. Public Opinion Quarterly, 78(4), 779–787. https://doi.org/10.1093/poq/nfu054
Linn, L. A., & Koo, M. B. (2020). Blockchain For Health Data and Its Potential Use in Health IT and Health Care Related Research. 10.
Mackey, T. K., Li, J., Purushothaman, V., Nali, M., Shah, N., Bardier, C., Cai, M., & Liang, B. (2020). Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram. JMIR Public Health and Surveillance, 6(3), e20794. https://doi.org/10.2196/20794
Mohd Aman, A. H., Hassan, W. H., Sameen, S., Attarbashi, Z. S., Alizadeh, M., & Latiff, L. A. (2021). IoMT amid COVID-19 pandemic: Application, architecture, technology, and security. Journal of Network and Computer Applications, 174, 102886. https://doi.org/10.1016/j.jnca.2020.102886
Mosa, A. S. M., Yoo, I., & Sheets, L. (2012). A Systematic Review of Healthcare Applications for Smartphones. BMC Medical Informatics and Decision Making, 12(1), 67. https://doi.org/10.1186/1472-6947-12-67
Organization, W. H. (2020). Maintaining essential health services: Operational guidance for the COVID-19 context: interim guidance, 1 June 2020. World Health Organization.
Philip, R., Carrington, L., & Chan, M. (2011). US FDA perspective on challenges in co-developing in vitro companion diagnostics and targeted cancer therapeutics. Bioanalysis, 3(4), 383–389. https://doi.org/10.4155/bio.11.1
Ronquillo, J. G., & Zuckerman, D. M. (2017). Software-Related Recalls of Health Information Technology and Other Medical Devices: Implications for FDA Regulation of Digital Health. The Milbank Quarterly, 95(3), 535–553. https://doi.org/10.1111/1468-0009.12278
Schofield, P., Shaw, T., & Pascoe, M. (2019). Toward Comprehensive Patient-Centric Care by Integrating Digital Health Technology With Direct Clinical Contact in Australia. Journal of Medical Internet Research, 21(6), e12382. https://doi.org/10.2196/12382
Slevin, P., Kessie, T., Cullen, J., Butler, M. W., Donnelly, S. C., & Caulfield, B. (2019). Exploring the potential benefits of digital health technology for the management of COPD: A qualitative study of patient perceptions. ERJ Open Research, 5(2). https://doi.org/10.1183/23120541.00239-2018
Sun, X., Yan, W., Zhou, H., Wang, Z., Zhang, X., Huang, S., & Li, L. (2020). Internet use and need for digital health technology among the elderly: A cross-sectional survey in China. BMC Public Health, 20(1), 1386. https://doi.org/10.1186/s12889-020-09448-0
Syrowatka, A., Kuznetsova, M., Alsubai, A., Beckman, A. L., Bain, P. A., Craig, K. J. T., Hu, J., Jackson, G. P., Rhee, K., & Bates, D. W. (2021). Leveraging artificial intelligence for pandemic preparedness and response: A scoping review to identify key use cases. Npj Digital Medicine, 4(1), Article 1. https://doi.org/10.1038/s41746-021-00459-8
Testa, S., Mayora-Ibarra, O., Piras, E. M., Balagna, O., Micocci, S., Zanutto, A., Forti, S., Conforti, D., Nicolini, A., Malfatti, G., Moz, M., Gios, L., Benetollo, P. P., Turra, E., Orrasch, M., Zambotti, F., Del Greco, M., Maines, M., Filippi, L., … Bertagnolli, E. (2022). Implementation of tele visit healthcare services triggered by the COVID-19 emergency: The Trentino Province experience. Journal of Public Health, 30(1), 77–92. https://doi.org/10.1007/s10389-021-01609-8
Tolley, E. E., Ulin, P. R., Mack, N., Robinson, E. T., & Succop, S. M. (2016). Qualitative Methods in Public Health: A Field Guide for Applied Research. John Wiley & Sons.
Tsai, R., Hervey, J., Hoffman, K., Wood, J., Johnson, J., Deighton, D., Clermont, D., Loew, B., & Goldberg, S. L. (2022). COVID-19 Vaccine Hesitancy and Acceptance Among Individuals With Cancer, Autoimmune Diseases, or Other Serious Comorbid Conditions: Cross-sectional, Internet-Based Survey. JMIR Public Health and Surveillance, 8(1), e29872. https://doi.org/10.2196/29872
Tung, J. Y., Shaw, R. J., Hagenkord, J. M., Hackmann, M., Muller, M., Beachy, S. H., Pratt, V. M., Terry, S. F., Cashion, A. K., & Ginsburg, G. S. (2018). Accelerating Precision Health by Applying the Lessons Learned from Direct-to-Consumer Genomics to Digital Health Technologies. NAM Perspectives. https://doi.org/10.31478/201803c
van der Tempel, J., Noormohamed, A., Schwartz, R., Norman, C., Malas, M., & Zawertailo, L. (2016). Vape, quit, tweet? Electronic cigarettes and smoking cessation on Twitter. International Journal of Public Health, 61(2), 249–256. https://doi.org/10.1007/s00038-016-0791-2
Wang, H.-Y., Duh, H. B.-L., Li, N., Lin, T.-J., & Tsai, C.-C. (2014). An Investigation of University Students’ Collaborative Inquiry Learning Behaviors in an Augmented Reality Simulation and a Traditional Simulation. Journal of Science Education and Technology, 23(5), 682–691. https://doi.org/10.1007/s10956-014-9494-8

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