Stunting Service Management Model in the South-Central Timor Region, East Nusa Tenggara, Indonesia

South Central Timor is one of the regions with a high prevalence of stunting in Indonesia. The programs and policies that have been carried out have been unable to reduce these health problems effectively. This study resulted in an innovative service model based on intelligent Governance. The design of this study is a sequential explanatory model using the mixed method. The research subjects were 226 respondents and 527 midwives in 27 South Central Timor region health centres. The results of the analysis found that there are factors that inhibit the management of stunting management services in community health centres in South Central Timor Regency, including (a) tractability of the stunting problems, (b) diversity of group behaviour, (c) clarity of policy content, (d) accuracy of allocation of funding sources, (e) socioeconomic conditions of the community and the level of technological advancement, (f) official support for stunting prevention policies. The analysis results have an adjusted R2 (Adjusted R Square) value of 0.436. Service implementation needs to be carried out collaboratively and participatory, es pecially related to data, policies, budgets, coordination, socialization, and implementation.

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Publication Details

Journal
Journal of Medical Case Studies
Published
2025-02-28
DOI
https://doi.org/10.23880/jmcs-16000136
Primary Topic
Public Health and Nutrition
Type
article
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article

Stunting Service Management Model in the South-Central Timor Region, East Nusa Tenggara, Indonesia

Hendrik Toda, Frans Salesman, Melkisedek N.B.C. Neolaka, Roslin Sormin EM
Journal of Medical Case Studies
Public Health and Nutrition
article

Stunting Service Management Model in the South-Central Timor Region, East Nusa Tenggara, Indonesia

Hendrik Toda, Frans Salesman, Melkisedek N.B.C. Neolaka, Roslin Sormin EM
article en

Abstract

South Central Timor is one of the regions with a high prevalence of stunting in Indonesia. The programs and policies that have been carried out have been unable to reduce these health problems effectively. This study resulted in an innovative service model based on intelligent Governance. The design of this study is a sequential explanatory model using the mixed method. The research subjects were 226 respondents and 527 midwives in 27 South Central Timor region health centres. The results of the analysis found that there are factors that inhibit the management of stunting management services in community health centres in South Central Timor Regency, including (a) tractability of the stunting problems, (b) diversity of group behaviour, (c) clarity of policy content, (d) accuracy of allocation of funding sources, (e) socioeconomic conditions of the community and the level of technological advancement, (f) official support for stunting prevention policies. The analysis results have an adjusted R2 (Adjusted R Square) value of 0.436. Service implementation needs to be carried out collaboratively and participatory, es pecially related to data, policies, budgets, coordination, socialization, and implementation.

Journal of Medical Case StudiesVol. 3(1)
University of Nusa Cendana (ID), Universitas Nusa Bangsa (ID)
Openalex Percentile: Top 95%
Public Health and Nutrition
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Stunting Service Management Model in the South-Central Timor Region, East Nusa Tenggara, Indonesia — Hendrik Toda, Frans Salesman, et al. · Journal of Medical Case Studies (2025) | TGRS Research Map | TGRS