RESUMO
BACKGROUND: Estimating program costs when planning community-based mental health programs can be burdensome. Our aim was to retrospectively document the cost for the first year of planning and implementing Healthy Minds Healthy Communities (HMHC), a mental health promotion and prevention multi-level intervention initiative. This Program is among the first to use the Community Initiated Care (CIC) model in the US and is aimed at building community resilience and the capacity for communities to provide mental health support, particularly among those disproportionately impacted by COVID-19. Our objective is to share our methods for costing a program targeting 10 zip codes that are ethnically and linguistically diverse and provide an example for estimating the cost of a mental health prevention and promotion programs consisting of multiple evidence-based interventions. METHODS: We used a semi-structured interview process to collect cost data through the first year of program planning, start-up and initial implementation from key staff. We calculated costs for each activity, grouped them by major project categories, and identified the cost drivers of each category. We further validated cost estimates through extensive literature review. The cost analysis was done from the provider's perspective, which included the implementing agency and its community partners. We delineated costs that were in-kind contributions to the program by other agency, and community partners. Sensitivity analyses were conducted to estimate uncertainty around parameters. RESULTS: For the first year of the development and implementation of the program, (funded through program and in-kind) is estimated at $1,382,669 (2022 US$). The costs for the three main activity domains for this project are: project management $135,822, community engagement $364,216 and design and execution $756,934. Overall, the cost drivers for the first year of this intervention were: hiring and onboarding staff, in-person community building/learning sessions, communications and marketing, and intervention delivery. CONCLUSION: Implementation of community-based mental health promotion and prevention programs, when utilizing a participatory approach, requires a significant amount of upfront investment in program planning and development. A large proportion of this investment tends to be human capital input. Developing partnerships is a successful strategy for defraying costs.
RESUMO
Introduction: As U.S. Veterans reintegrate from active duty to civilian life, many are at risk for negative modifiable social determinants of health. The prevalence of mental health conditions among Veterans is also high. Awareness of the associations between these two factors is growing. This systematic review provides a comprehensive analysis of the current state of knowledge of the associations between modifiable social determinants and mental health among U.S. Veterans. Methods: The authors systematically searched four databases and identified 28 articles representing 25 unique studies that met inclusion criteria. Findings from the studies were extracted and synthesized on the basis of modifiable social determinants. Study quality and risk of bias were assessed using the Methodological Quality Questionnaire. Results: The studies identified in the systematic review examined three modifiable social determinants of health: 1) housing stability, 2) employment and finances, and 3) social support. Although the lack of validity for measures of housing stability, employment, and finances compromised study quality, the overall evidence suggests that Veterans with access to supportive social determinants had better mental health status. Evidence was particularly robust for the association between strong social support and lower symptoms of posttraumatic stress disorder. Discussion: Current evidence suggests the need to consider modifiable social determinants of health when designing mental health interventions. However, more research encompassing a wider range of modifiable social determinants such as food security, education, and transportation and using comprehensive methods and validated instruments is needed. Future research also needs to intentionally include Veterans from diverse racial-ethnic groups.