Enterprise Evaluation: A New Opportunity for Public Health Policy

The evaluation of effect Gammarana intervention to reducing stunting during the Covid-19 pandemic: Protocol evaluation of stunting intervention in Enrekang District

BACKGROUND

Evaluation of large-scale stunting interventions in Indonesia has never been carried out, because it found limited sensitive and specific interventions that were carried out massively at the village level. The provincial government of South Sulawesi Indonesia in 2020 has implemented a stunting intervention model called Gammarana. The purpose of this evaluation is to analyze the impact of Gammarana on changes in stunting at the project site. Location project as many as 30 villages with a population estimated 60,000.  Design and Methods: Evaluation in this study using a retrospective method and internal and external audit to document potential, then validated after the field visit Gammarana first phase in 2020. Basic Logic Model evaluation model with 22 indicators (input, process, secondary output and primary output). Proving the effect of Gammarana on changes in stunting by comparing the phenomena in the comparison village.

RESULTS

The comparison villages were set as equal and comparable in 13 indicators that could disturb the study conclusions. The result of the initial condition is that the conditions of the two villages of Gammarana and Villages Comparison are seen as the same in various characteristics, so that whatever the results of this evaluation study are believed to be the impact of Gammarana Project.

CONCLUSIONS

this protocol eligible to evaluation of Gammarana Project Intervention in Enrekang District, South Sulawesi Indonesia.

Broadening the Mandate of the Incident Command System to Address Community Mental and Behavioral Health Effects as Part of the Federal Response to Disasters

PURPOSE OF REVIEW

In the United States, the Federal Incident Command System (ICS) directs response to major oil spills. Its initial imperative is to prevent immediate impacts on human health and safety. Subsequently, the ICS primarily turns its attention to environmental concerns, including considering vulnerable ecosystems. There is a growing body of evidence that disasters such as major oil spills lead to adverse psychosocial effects; yet, preventing such effects has not been formally incorporated into ICS disaster mitigation considerations.

RECENT FINDINGS

Community mental and behavioral effects are increasingly recognized as a significant impact of disasters. Standardized ecosystem analytical frameworks are key to ICS responses to its mandate for environmental protection. Similar frameworks have only begun to be developed for mental and behavioral effects. Providing the ICS with a formal mandate would likely lead to the prevention of community mental and behavioral effects being more systematically incorporated into ICS disaster responses.

The SNAP-Ed Evaluation Framework: demonstrating the impact of a national framework for obesity prevention in low-income populations

The United States Department of Agriculture's Supplemental Nutrition Assistance Program Education, known as SNAP-Ed, is the country's largest and most diverse community nutrition program. In 2017, nearly 140 SNAP-Ed implementing agencies (SIAs) and hundreds of contractors delivered nutrition education to almost 5 million people in nearly 60,000 low-resource sites. Millions more were impacted with social marketing campaigns and policy, systems, and environmental changes. This article introduces and describes the benefits of the newly developed SNAP-Ed Evaluation Framework (Framework) and companion Interpretive Guide to consistently measure SNAP-Ed outcomes across different settings. The Framework uses the social ecological model as its underlying theory and features 51 indicators across four levels: Individual, Environmental Supports, Sectors of Influence, and Population Results. Topline findings from the first-year Census to track Framework adoption found that most SIAs intended to impact indicators closer to the inner levels of influence: Individual (mean = 59% of SIAs; SD = 22%) and Environmental Settings (mean = 48%; SD = 23%). As yet, few SIAs targeted outcomes for long-term indicators (mean = 26%; SD = 15%), Sectors of Influence (mean = 20%; SD = 12%), or Population Results (mean = 30%; SD = 11%). An in-depth example of how one state is using the Framework is described. The SNAP-Ed Evaluation Framework offers a new suite of evaluation measures toward eliminating disparities that contribute to poor diet, physical inactivity, food insecurity and obesity. Practitioners will need technical assistance to implement the Framework, especially to measure longer-term, multi-sector and population results, and to maximize effectiveness in SNAP-Ed.