Dashboard Pemantauan Real-Time Untuk Mengurangi Keterlambatan Penanganan Gizi Buruk
DOI:
https://doi.org/10.51903/w1zx1c02Keywords:
Gizi Buruk, Dashboard Real-Time, Pengabdian Masyarakat, Pemantauan Gizi, Kesehatan KomunitasAbstract
Community-level management of acute malnutrition continues to face challenges due to slow and fragmented manual reporting systems, resulting in delayed interventions after children’s conditions deteriorate. This community service-based study aimed to develop and evaluate the effectiveness of a real-time monitoring dashboard in accelerating reporting and response to severe malnutrition cases. A quasi-experimental pre–post design with a cluster control group was employed using a mixed-methods approach. The study involved 200 children under five years old, community health volunteers, and health workers. Data were collected from anthropometric records, dashboard log data, perception surveys, interviews, and focus group discussions. The results indicate that implementing the real-time dashboard significantly reduced reporting time from an average of 14 hours to 3 minutes, accelerated health worker response time to less than 1 hour, and decreased case management delays from 62% to 18% (p < 0.001). In addition, the completeness of recorded anthropometric data improved consistently. This study demonstrates that integrating a real-time dashboard into community-based service workflows substantially enhances the responsiveness, accuracy, and flexibility of nutrition reporting systems, supporting the broader adoption of digital real-time solutions to strengthen severe malnutrition management at the grassroots level.References
[1] R. Neill, N. Zia, L. Ashraf, Z. Khan, W. Pryor, and A. M. Bachani, “Integration Measurement and Its Applications in low ‑ And Middle ‑ Income Country health Systems: A Scoping Review,” BMC Public Health, pp. 1–15, 2023, doi: 10.1186/s12889-023-16724-2.
[2] J. Huang, J. Sun, Y. Ji, C. Chen, Z. Yang, and H. Zhao, “Analysis of Factors Influencing Delayed Treatment Seeking for Dental Caries in Preschool Children: A Cross-Sectional Study,” BMC Public Health, vol. 25, no. 1, p. 1669, 2025, doi: 10.1186/s12889-025-22936-5.
[3] I. Andini and L. Azizah, “Pemanfaatan Teknologi Gratis dalam Pengembangan Media Pembelajaran Interaktif untuk Pemberdayaan Guru Sekolah Dasar,” Community J. Pengabdi. Pada Masy., vol. 5, no. 2, pp. 109–117, Jul. 2025, doi: 10.51903/x247sr47.
[4] M. Safriyanti and F. Nugraha, “Sistem Informasi Administrasi BUMDes Berbasis Web di Kantor Kecamatan Mejobo Kudus,” Community J. Pengabdi. Pada Masy., vol. 5, no. 3, pp. 36–49, Nov. 2025, doi: 10.51903/zmq8dx87.
[5] M. R. Maulana and F. Nugraha, “Sistem Informasi Pengelolaan Maintenance AC Berbasis Website Utility PT Sinar Indah Kertas,” Community J. Pengabdi. Pada Masy., vol. 5, no. 3, pp. 11–25, Nov. 2025, doi: 10.51903/8177bc26.
[6] B. Zhou et al., “Food and Nutrition Systems Dashboards: A Systematic Review,” Advances in Nutrition, vol. 13, no. 3, pp. 748–757, 2022, doi: 10.1093/advances/nmac022.
[7] J. Albin, K. Alhassan, and O. Wills, “Public Health Surveillance Through Community Health Workers: A Scoping Income Review of Evidence From 25 Low - Income Countries,” pp. 1–9, 2024, doi: 10.1136/bmjopen-2023-079776.
[8] Amir Torab‑Miandoab et al., “Interoperability of Heterogeneous Health Information Systems: A Systematic Literature Review,” BMC Med. Inform. Decis. Mak., vol. 5, pp. 1–13, 2023, doi: 10.1186/s12911-023-02115-5.
[9] Ayomide Owoyemi et al., “Digital Solutions for Community and Primary Health Workers: Lessons From Implementations in Africa,” vol. 4, no. June, pp. 1–9, 2022, doi: 10.3389/fdgth.2022.876957.
[10] A. Schulze et al., “Digital Dashboards Visualizing Public Health Data: A Systematic Review,” BMC Public Health, vol. 23, no. 1, p. 1877, 2023, doi: 10.1186/s12889-023-16779-0.
[11] H. Mohamed et al., “A Scoping Review of Digital Technologies in Antenatal Care: Recent Progress and Applications of Digital Technologies,” BMC Pregnancy and Childbirth, vol. 25, no. 1, p. 209, 2025, doi: 10.1186/s12884-025-07209-8.
[12] C. Ndayishimiye, H. Lopes, and J. Middleton, “A Systematic Scoping Review of Digital Health Technologies During COVID-19: A New Normal in Primary Health Care Delivery,” Journal of Public Health, vol. 45, no. 2, pp. 273–284, 2023, doi: 10.1093/pubmed/fdac081.
[13] A. Kusumawardhani and R. Maheswara, “Optimalisasi Kesehatan Ibu dan Anak melalui Edukasi Gizi Seimbang Berbasis Posyandu dalam Mendukung Kemandirian Ekonomi Keluarga,” Community: Jurnal Pengabdian Pada Masyarakat, vol. 5, no. 2, pp. 128–134, 2025, doi: 10.51903/f4rjbe17.
[14] M. Sadeghi et al., “Determining the Minimum Data Elements to Develop a Child Malnutrition Registry System,” BMC Medical Informatics and Decision Making, vol. 24, no. 1, p. 411, 2024, doi: 10.1186/s12911-024-02771-1.
[15] J. Yedinak et al., “Public Health Dashboards in Overdose Prevention: The Rhode Island Approach to Public Health Data Literacy, Partnerships, and Action,” Journal of Medical Internet Research, vol. 26, p. e51671, 2024, doi: 10.2196/51671.
[16] Stella Maria Hartinger Pena et al., “Digital Support Systems to Improve Child Health and Development in Peru: A Protocol for a Randomized Controlled Trial,” JMIR Research Protocols, vol. 12, p. e50371, 2023, doi: 10.2196/50371.
[17] W. K. Kansiime et al., “Barriers and Benefits of mHealth for Community Health Workers in Integrated Community Case Management of Childhood Diseases in Banda Parish, Kampala, Uganda: A Cross Sectional Study,” BMC Primary Care, vol. 25, no. 1, pp. 1–13, 2024, doi: 10.1186/s12875 024 02430 4.
[18] S. Till et al., “Digital Health Technologies for Maternal and Child Health in Africa and Other Low and Middle Income Countries: Cross Disciplinary Scoping Review With Stakeholder Consultation,” Journal of Medical Internet Research, vol. 25, p. e42161, 2023, doi: 10.2196/42161.
[19] E. Kenney, V. O. Adebiyi, H. K. Seligman, M. D. Ehmke, J. F. Guthrie, A. Coleman Jensen, and E. A. Frongillo, “Assessing and Monitoring Nutrition Security in the United States: a Narrative Review of Current Measures and Instruments,” Current Nutrition Reports, vol. 13, no. 3, pp. 639–667, 2024, doi: 10.1007/s13668 024 00547 7.
[20] I. J. Borges do Nascimento et al., “Barriers and Facilitators to Utilizing Digital Health Technologies by Healthcare Professionals,” NPJ Digital Medicine, vol. 6, no. 1, p. 161, 2023, doi: 10.1038/s41746-023-00899-4.
[21] Y. Chen, C. U. Lehmann, and B. Malin, “Digital Information Ecosystems in Modern Care Coordination and Patient Care Pathways and the Challenges and Opportunities for AI Solutions,” Journal of Medical Internet Research, vol. 26, p. e60258, 2024, doi: 10.2196/60258.
[22] J. Gallifant et al., “Viewpoint Disparity Dashboards: An Evaluation of the Literature and Framework for Health Equity Improvement,” Lancet Digit. Heal., vol. 5, no. 11, pp. e831–e839, 2023, doi: 10.1016/S2589-7500(23)00150-4.
[23] J. Namene et al., “Reliability of Anthropometric Measurements of a Digi Board in Comparison to an Analog Height Board in Namibian Children Under 5 Years,” Maternal & Child Nutrition, vol. 20, no. 4, p. e13677, 2024, doi: 10.1111/mcn.13677.
[24] S. Rakasiwi, A. Salam, E. R. Subhiyakto, I. N. Dewi, D. A. Octaviani, and J. Zeniarja, “Pendampingan Pola Hidup Bersih Dan Sehat (PHBS) Pada Siswa MI Miftahul Hidayah dengan Sosialisasi Aplikasi Digital,” Community: Jurnal Pengabdian Pada Masyarakat, vol. 4, no. 1, pp. 8–14, 2024, doi: 10.51903/community.v4i1.496.
[25] I. J. B. do Nascimento, H. M. Abdulazeem, L. T. Vasanthan, E. Z. Martinez, M. L. Zucoloto, L. Østengaard, N. Azzopardi Muscat, T. Zapata, and D. Novillo Ortiz, “The Global Effect of Digital Health Technologies on Health Workers’ Competencies and Health Workplace: an Umbrella Review of Systematic Reviews and Lexical Based and Sentence Based Meta Analysis,” The Lancet Digital Health, vol. 5, no. 8, pp. e534–e544, 2023, doi: 10.1016/s2589 7500(23)00092 4.
[26] R. Rabiei et al., “Developing Public Health Surveillance Dashboards: a Scoping Review on the Design Principles,” BMC Public Health, vol. 24, no. 1, pp. 1–15, 2024, doi: 10.1186/s12889 024 17841 2.
[27] R. Bridge and T. K. Lin, “Evidence on the Impact of Community Health Workers in the Prevention, Identification, and Management of Undernutrition Amongst Children Under the Age of Five in Conflict Affected or Fragile Settings: a Systematic Literature Review,” Conflict and Health, vol. 18, p. 44, 2024, doi: 10.1186/s13031 024 00575 8.
[28] D. M. Mwanga et al., “A Digital Dashboard for Reporting Mental, Neurological and Substance Use Disorders in Nairobi, Kenya: Implementing an Open Source Data Technology for Improving Data Capture,” PLOS Digital Health, vol. 3, no. 11, pp. 1–15, 2024, doi: 10.1371/journal.pdig.0000646.
[29] J. J. Su et al., “Real World Mobile Health Implementation and Patient Safety: Multicenter Qualitative Study,” Journal of Medical Internet Research, vol. 27, p. e71086, 2025, doi: 10.2196/71086.
[30] B. Zhou et al., “Food and Nutrition Systems Dashboards: A Systematic Review,” Adv. Nutr., vol. 13, no. 3, pp. 748–757, 2022, doi: 10.1093/advances/nmac022.
[31] M. Samadbeik, T. Engstrom, E. H. Lobo, K. Kostner, J. A. Austin, J. D. Pole, and C. Sullivan, “Healthcare Dashboard Technologies and Data Visualization for Lipid Management: a Scoping Review,” BMC Medical Informatics and Decision Making, vol. 24, p. 352, 2024, doi: 10.1186/s12911-024-02730-w.
[32] C. Berardi, M. Antonini, Z. Jordan, H. Wechtler, F. Paolucci, and M. Hinwood, “Barriers and Facilitators to the Implementation of Digital Technologies in Mental Health Systems: a Qualitative Systematic Review to Inform a Policy Framework,” BMC Health Services Research, vol. 24, no. 1, pp. 1–19, 2024, doi: 10.1186/s12913 023 10536 1.
[33] Y. Zurynski, G. A. Nela, J. S. Fisher, L. John, A. M. Shaw, and D. H. McBride, “Built to Last? Barriers and Facilitators of Healthcare Program Sustainability: A Systematic Integrative Review,” Implementation Science, vol. 18, p. 39, 2023, doi: 10.1186/s13012 023 01315 x.
[34] K. H. Nguyen et al., “Cashing In: Cost Benefit Analysis Framework for Digital Hospitals,” BMC Health Services Research, vol. 24, no. 1, pp. 1–12, 2024, doi: 10.1186/s12913 024 11132 7.
[35] S. M. W. Janssen, Y. Bouzembrak, and B. Tekinerdogan, “Artificial Intelligence in Malnutrition: A Systematic Literature Review,” Advances in Nutrition, vol. 15, no. 9, p. 100264, 2024, doi: 10.1016/j.advnut.2024.100264.
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