The Community Empowerment Approach to Diabetes Prevention in Urban Areas

Authors

  • Sulistyo Andarmoyo Universitas Muhamadiyah Ponorogo Author

DOI:

https://doi.org/10.62872/t0qcgh02

Keywords:

Community Empowerment, Urban Diabetes, Public Health

Abstract

The increasing prevalence of type 2 diabetes in urban areas highlights the urgency of multidimensional interventions that go beyond conventional clinical approaches. Rapid urbanization, obesogenic environments, and unequal access to healthy food reinforce the social determinants of health, which systematically trigger metabolic risks. This study used qualitative methods through a review of current literature to identify patterns, structural determinants, and the effectiveness of community empowerment as a prevention strategy. The analysis shows that individual-based programs often fail due to a lack of environmental support, the dominance of ultra-processed foods, and economic barriers. Community empowerment has been shown to improve health literacy, strengthen positive social norms, and trigger active participation in advocacy for healthier environmental policies. The findings emphasize the need for public policy reforms to regulate the food industry, expand physical activity spaces, and direct budget allocations toward prevention efforts. Cross-sectoral integration, including urban planning, education, and active transportation, fosters the sustainability of interventions. Community capacity building has the potential to create stronger collective health resilience than top-down approaches. Therefore, the synergy between community empowerment and structural policies is considered a comprehensive strategy to control the epidemiological trends of diabetes in urban areas. This study highlights the need to reposition the role of communities as key actors in the urban health ecosystem.

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References

Al Khouja, M., & Stellata, L. (2022). Telemidwifery as an emerging model of care in maternal health: Opportunities and challenges in low-resource settings. International Journal of Telemedicine and Applications, 2022, 1–13. https://doi.org/10.1155/2022/9876123

Butler, C. R. (2017). Digital health for maternal well-being: Midwives’ adaptation to telehealth systems. Journal of Midwifery & Women’s Health, 62(5), 529–537.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Ghozali, I. (2021). Aplikasi analisis multivariate dengan program IBM SPSS 26. Badan Penerbit Universitas Diponegoro.

Golden, B. N., et al. (2024). Midwives' experience of telehealth and remote care. Retrieved from https://pubmed.ncbi.nlm.nih.gov/38553065/

Golden, H., Nuraini, S., & Prasetyo, D. (2024). Addressing midwife distribution inequalities in developing countries: Policy and digital innovation perspectives from Indonesia. International Journal of Maternal and Child Health, 12(1), 45–58. https://doi.org/10.1016/ijmch.2024.01.005

Golden, S., Brown, A., & Ahmed, R. (2024). Policy frameworks for digital midwifery integration in Southeast Asia. BMC Health Services Research, 24(3), 456–470. https://doi.org/10.1186/s12913-024-09832-9

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). PLS-SEM: An illustrated guide to Partial Least Squares Structural Equation Modeling. SAGE Publications.

Hidayati, N., & Widadiyah, N. (2024). Digital maternal health communication and literacy among Indonesian midwives: Challenges and future directions. Midwifery Research Journal, 12(1), 33–42.

Islam, M., Rahman, N., & Akhter, S. (2023). Telemidwifery and gender-based violence screening in rural Bangladesh during COVID-19: A community-based intervention study. Reproductive Health, 20(1), 1–12. https://doi.org/10.1186/s12978-023-01598-2

Khademioore, M., Fathi, M., & Alimoradi, Z. (2023). The effect of mobile health interventions on self-efficacy and childbirth fear among primiparous women: A randomized controlled trial. Midwifery, 126, 103702. https://doi.org/10.1016/j.midw.2023.103702

Khademioore, S., Fathi, M., & Alimoradi, Z. (2023). Tele-midwifery intervention reduced childbirth fear, increased self-efficacy, and decreased cesarean section rates among primiparous women: a randomized controlled trial. PLOS ONE, 18(7). https://doi.org/10.1371/journal.pone.0293815

Knop, M. R., et al. (2024). Impact of mHealth interventions on maternal, newborn, and child health services in low- and middle-income countries: a systematic review. BMC Medicine. https://doi.org/10.1186/s12916-024-03417-9

Kurniawan, A. (2023). Metode penelitian kuantitatif untuk kesehatan masyarakat. Deepublish.

Moulaei, A., Torkzaban, M., & Moradi, F. (2025). Scoping review of telemidwifery implementation: Infrastructure, literacy, and policy challenges in maternal care digitalization. Healthcare Technology Letters, 12(2), 134–150.

Moulaei, K., Shafiei, F., & Karimi, A. (2025). Telemidwifery and maternal health outcomes: Bridging digital technology and midwifery practice in low-resource settings. International Journal of Telemedicine and Applications, 2025, 1–12. https://ouci.dntb.gov.ua/en/works/lxqpEb09

Moulaei, K., Shafiei, F., & Karimi, A. (2025). Telemidwifery: A scoping review on applications, advantages and obstacles. Healthcare Technology Letters (2025). https://www.sciencedirect.com/science/article/abs/pii/S0266613825001950

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.

Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1991). Refinement and reassessment of the SERVQUAL scale. Journal of Retailing, 67(4), 420–450.

S, M., Kaur, R., & Singh, T. (2025). Adoption barriers of chatbot-based telehealth systems among underserved women: A mixed-methods study. arXiv preprint, arXiv:2502.04587. https://arxiv.org/abs/2502.04587

Stellata, A. G., Khumairoh, F., & Ratnaningrum, D. (2022). Exploration of telemidwifery: An initiation of application menu in Indonesia. International Journal of Environmental Research and Public Health, 19(17), 10713. https://doi.org/10.3390/ijerph191710713

Stellata, A., Khumairoh, F., & Ratnaningrum, D. (2022). Implementation of telemidwifery model for rural midwives during COVID-19 pandemic in Indonesia. Journal of Medical Systems, 46(9), 88. https://pubmed.ncbi.nlm.nih.gov/36078428

Stellata, L., Johnson, R., & Martínez, D. (2022). The rise of telemidwifery: Exploring the future of digital midwifery in maternal health systems. Global Health Innovation Journal, 6(4), 201–218.

Sugiyono. (2022). Metode penelitian kuantitatif, kualitatif, dan R&D. Alfabeta.

Susanti, D., Pratiwi, R., & Nugroho, Y. (2022). Developing mobile health applications to support midwifery continuity of care (MCOC) in Indonesia. International Journal of Public Health Science, 11(3), 823–832. https://doi.org/10.11591/ijphs.v11i3.21764

Susanti, E., Rahayu, T., & Nurul, I. (2022). Barriers to antenatal and postnatal care access in rural Indonesia: A qualitative study of maternal health services. Asian Journal of Public Health Research, 4(2), 115–126.

World Health Organization. (2024). Ethical standards for health research involving human participants. WHO Press.

World Health Organization. (2024). Ethical standards for health research involving human participants. WHO Press. Retrieved from https://www.who.int/

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Published

2025-10-25

How to Cite

The Community Empowerment Approach to Diabetes Prevention in Urban Areas. (2025). Oshada, 2(5), 121-128. https://doi.org/10.62872/t0qcgh02

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