Community-Defined Challenges: A Five-Year Qualitative Needs and Resources Assessment in Vulnerable Latino Populations of Miami-Dade County
Article
Ravelo, GJ, Robinson, M, Ibañez, G et al. (2026). Community-Defined Challenges: A Five-Year Qualitative Needs and Resources Assessment in Vulnerable Latino Populations of Miami-Dade County
. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 23(5), 10.3390/ijerph23050546
Ravelo, GJ, Robinson, M, Ibañez, G et al. (2026). Community-Defined Challenges: A Five-Year Qualitative Needs and Resources Assessment in Vulnerable Latino Populations of Miami-Dade County
. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 23(5), 10.3390/ijerph23050546
Background: Miami-Dade County ranks first in Florida for HIV cases, yet broad epidemiological data often masks the “on-the-ground” reality of its most vulnerable residents. While standard reports suggest declining domestic violence, these statistics fail to account for community-defined health crises—the “SAVA” syndemic (substance use, violence, and HIV/AIDS)—occurring within localized micro-communities. Methods: Leveraging five years of Community-Based Participatory Research (CBPR) and Grounded Theory, this study engaged 97 community members and leaders to unmask these hidden burdens. We employed a multi-level sequential design and methodological triangulation, incorporating community forums, focus groups, and interviews with farm-workers, inner-city residents, and LGBTQ+ individuals. Results: Findings reveal a disconnect between official data and community reporting, including “Party and Play” methamphetamine/sex-trafficking networks in the LGBTQ+ scene, rampant youth vaping in inner cities, and child sexual abuse and opioids in farm-working communities. Mental health emerged as a pervasive need, masked by substance use and suppressed by cultural stigmas and institutional fears. Conclusions: Findings from this study highlight the value of community-level approaches in generating localized, culturally grounded insights that may not be fully captured in more aggregated geographic analyses (e.g., zip code, county, or state levels). We propose a collaborative, multi-sectoral model to address the systemic factors underlying the SAVA syndemic in these communities.
