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Development of a Community-Based Disaster Preparedness Module: Enhancing Resilience and Response Capabilities Suparji, Suparji; Nugroho, Heru Santoso Wahito; Sunarto, Sunarto; Sulikah, Sulikah; Setiyani, Astuti; Rusdianti, Alfi
Health Dynamics Vol 2, No 6 (2025): June 2025
Publisher : Knowledge Dynamics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hd20604

Abstract

Background: Disaster preparedness is one of the important aspects in reducing the negative impacts of disasters, especially in areas prone to natural disasters. This study aims to develop a community-based disaster preparedness module that can improve community resilience and response capabilities to disaster threats. This module is designed to provide practical guidance in preparedness efforts, as well as build the capacity of local communities. Methods: This study uses a research and development design with quantitative and qualitative approaches. The population in this study was the community in disaster-prone areas in Genilangit Village, Poncol District, Magetan Regency. The sample consisted of 120 respondents selected using purposive sampling techniques, with the criteria of the community who had been involved in disaster mitigation activities. The main variable in this study was community preparedness before and after the implementation of the module. The data collection instrument used a questionnaire to measure preparedness and in-depth interviews to gain qualitative insights into the implementation of the module. Quantitative data were analyzed using paired descriptive statistics to see the difference in preparedness before and after the module intervention. While qualitative data were analyzed using thematic analysis techniques. Results: The results of this study indicate that the implementation of the module significantly increased the level of community preparedness in terms of knowledge, attitudes, and skills related to disaster mitigation. Conclusion: These findings indicate that this module can be an effective tool in increasing community resilience in disaster-prone areas. 
Evaluating Acceleration of Stunting Prevention in Indonesia (2018-2024): A Roadmap-Based Program Analysis Rusdianti, Alfi; Suparji, Suparji; Nugroho, Heru Santoso Wahito; Santosa, Budi Joko; Sunarto, Sunarto
Health Dynamics Vol 2, No 5 (2025): May 2025
Publisher : Knowledge Dynamics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hd20504

Abstract

Indonesia’s 2018-2024 National Roadmap for Stunting Prevention aims to reduce stunting prevalence to 14% by 2024 through multisectoral interventions. This commentary evaluates the program’s acceleration, identifying systemic gaps in implementation despite robust policy frameworks. Using qualitative analysis of government reports, field studies, and secondary data, we assess progress against key roadmap indicators, including nutrition-specific interventions, community empowerment, and interagency coordination. Findings reveal persistent challenges: fragmented coordination between national and local agencies, uneven funding distribution favoring urban centers, and inadequate real-time monitoring systems. Case studies from regions like Lombok (successful integrated nutrition campaigns) and Papua (persistent access barriers to clean water and healthcare) illustrate disparities in program effectiveness. Additionally, socio-cultural factors, such as low parental awareness of nutrition, further hinder progress. We argue that accelerating stunting reduction requires strengthening decentralized governance, prioritizing budget equity for rural areas, and leveraging digital tools for data integration. Community-driven education initiatives, supported by local leaders, are critical to shifting health behaviors. Without addressing these structural and operational bottlenecks, Indonesia risks missing its 2024 target, undermining broader Sustainable Development Goals (SDGs) linked to child health and equity. This analysis urges policymakers to adopt adaptive, evidence-based strategies to transform roadmap commitments into actionable outcomes.
Tips for Writing an Effective Policy Brief for Health Programs Nugroho, Heru Santoso Wahito; Sunarto, Sunarto; Suparji, Suparji; Rusdianti, Alfi
Health Notions Vol 9, No 5 (2025): May
Publisher : Humanistic Network for Science and Technology (HNST)

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Abstract

Policy briefs are essential tools for communicating evidence-based recommendations in the field of public health. Given the complexity of health data and the sector’s broad societal impact, the ability to write clear, concise, and actionable policy briefs is vital. This paper outlines five fundamental components for producing high-quality health policy briefs: identifying target objectives and audiences, constructing coherent and succinct structures, using plain language with a focus on public impact, incorporating strong evidence and credible data sources, and applying accessible design principles. Emphasizing clarity and brevity, the paper highlights how policy briefs can bridge the gap between research and decision-making, ultimately contributing to more effective and responsive health policies. Keywords: policy brief; health sector; evidence-based recommendations
Dengue Fever Prevention Behavior at the Household Level in High and Low Incidence Areas: A Cross-Sectoral Comparative Study in the Tropics Santosa, Budi Joko; Suharto, Agung; Saadah, Nurlailis; Wahito Nugroho, Heru Santoso; Sunarto, Sunarto; Suparji, Suparji; Rusdianti, Alfi
Health Dynamics Vol 3, No 1 (2026): January 2026 (In progress)
Publisher : Knowledge Dynamics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hd30103

Abstract

Background: Dengue fever remains a major public health concern in tropical regions, including Indonesia. Household-level knowledge, attitudes, and practices (KAP) play a critical role in sustainable vector control. This study aimed to compare KAP regarding dengue prevention among household heads in high- and low-incidence areas in Magetan Regency, Indonesia. Methods: A cross-sectional comparative study was conducted among 785 household heads selected using stratified random sampling. A total of 390 respondents were recruited from high-incidence areas (≥11 cases/year) and 395 from low-incidence areas (≤10 cases/year). Data were collected using a validated and reliable structured questionnaire measuring knowledge (45 items), attitudes (18 items), and practices (25 items). Spearman rank correlation was used to examine associations between sociodemographic factors and KAP scores, and the Mann–Whitney U test was applied to compare differences between groups. Results: Knowledge and attitude scores did not differ significantly between high- and low-incidence areas (p > 0.05). However, prevention practice scores were significantly higher in high-incidence areas (Mean = 15.51; SD = 4.37) compared to low-incidence areas (Mean = 12.94; SD = 5.91; p < 0.001). Age was positively associated with attitudes and practices in both areas, while education level was significantly correlated with knowledge. Employment status was associated with prevention practices, whereas gender showed no significant association with KAP. Conclusions: Dengue prevention practices were stronger in high-incidence areas, suggesting that direct exposure to disease risk influences behavioral responses more than knowledge alone. Strengthening community empowerment and behavior-focused interventions is essential, particularly in low-incidence areas, to enhance preparedness and prevent future outbreaks.
Developing a Community-Based Non-Structural Disaster Mitigation Module Integrating Local Knowledge: Evidence from Indonesia as a Middle-Income Country [Accepted] Suparji, Suparji; Wahito Nugroho, Heru Santoso; Sunarto, Sunarto; Rusdianti, Alfi
Health Dynamics Vol 3, No 2 (2026): February 2026 (In progress)
Publisher : Knowledge Dynamics

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background: Natural disasters continue to pose significant challenges globally, particularly in disaster-prone middle-income countries such as Indonesia, where communities are frequently exposed to hydrometeorological and geological hazards. While structural mitigation remains important, non-structural and community-based approaches are increasingly emphasized to enhance contextual relevance and community engagement in disaster risk reduction. This study aimed to develop and assess the feasibility of a community-based non-structural disaster mitigation module integrating local knowledge as an educational resource for disaster-prone communities. Methods: The study employed a Research and Development (R&D) approach using a simplified adaptation of the Borg and Gall model. The development process included a needs assessment through in-depth interviews and focus group discussions, module design and development, expert validation, and a limited field trial with target community users. Data were collected using qualitative methods and structured questionnaires, and analyzed descriptively to examine feasibility, acceptability, and relevance.. Results: The results indicate that the developed module achieved high feasibility scores across content, presentation, language, and integration of local knowledge. User assessments from the limited field trial demonstrated high levels of acceptability and relevance, particularly in relation to clarity, contextual suitability, and usefulness as a learning resource. Revisions based on expert and user feedback were incorporated into the final version of the module.. Conclusions: In conclusion, this study provides early empirical evidence supporting the feasibility and acceptability of a community-based non-structural disaster mitigation module that integrates local knowledge. The module shows potential for use as an educational tool to support community disaster preparedness activities within similar middle-income country contexts.Keywords: Community-based disaster risk reduction;  Non-structural disaster mitigation;   Module development; Local knowledge integration; Research and Development