Community engagement as a foundation for improving neighborhood health.

OBJECTIVE: Health inequities and disparities are associated with non-White race/ethnicity, immigrant status, income, and geographic location. Community engagement is essential to identify health and social needs and to plan health care and social services programs. To begin a larger community-based participatory study, the purpose of this study was to explore community residents' perceptions of barriers and facilitators to achieving and maintaining health. DESIGN, SAMPLE, AND MEASUREMENTS: This qualitative descriptive study used focus group interviews. We recruited a convenience sample (n = 50) from community meetings and gathering for five audio-recorded focus groups that used a semi-structured interview guide. Transcripts were coded to identify common topics in each group and major themes across groups. RESULTS: Participants were predominantly women (58%), Hispanic/Latinx, and Spanish-speaking (57%), who rented their homes (69%). Two main themes emerged: (a) social determinants as barriers to health and (b) need for trust to participate in health programs. CONCLUSIONS: Although health care providers are frequently concerned about providing access to care, community members identified a variety of social determinants that affected their health. Listening and responding to community members' priorities are the foundation to improving health in neighborhoods directly affected by inequities.

Defining Tobacco Regulatory Science Competencies.

INTRODUCTION: In 2013, the National Institutes of Health and the Food and Drug Administration funded a network of 14 Tobacco Centers of Regulatory Science (TCORS) with a mission that included research and training. A cross-TCORS Panel was established to define tobacco regulatory science (TRS) competencies to help harmonize and guide their emerging educational programs. The purpose of this paper is to describe the Panel's work to develop core TRS domains and competencies. METHODS: The Panel developed the list of domains and competencies using a semistructured Delphi method divided into four phases occurring between November 2013 and August 2015. RESULTS: The final proposed list included a total of 51 competencies across six core domains and 28 competencies across five specialized domains. CONCLUSIONS: There is a need for continued discussion to establish the utility of the proposed set of competencies for emerging TRS curricula and to identify the best strategies for incorporating these competencies into TRS training programs. Given the field's broad multidisciplinary nature, further experience is needed to refine the core domains that should be covered in TRS training programs versus knowledge obtained in more specialized programs. IMPLICATIONS: Regulatory science to inform the regulation of tobacco products is an emerging field. The paper provides an initial list of core and specialized domains and competencies to be used in developing curricula for new and emerging training programs aimed at preparing a new cohort of scientists to conduct critical TRS research.

Examining food insecurity and areas with unmet food needs during COVID-19: A geospatial, community-specific approach.

Food insecurity is a public health issue that has increased in the U.S. since the 2020 COVID-19 pandemic. Understanding how this increase occurs locally is crucial in informing appropriate food insecurity-related responses. Analyzing 2-1-1 call data is one way to examine food insecurity-related needs at a zip code level. The purpose of this work was to: (1) examine overall call trend data to 2-1-1 from March through July 2019 and March through July 2020, (2) examine changes in food need call volume to 2-1-1 during COVID-19 by zip code, and (3) identify areas with unmet food needs during COVID-19 in central Texas. Data for 2-1-1 calls from Travis County zip codes for March through July 2020 were compared to calls for March through July 2019 and categorized by reason for calling. Descriptive statistics and paired t-tests were used to analyze food need calls by zip code and mapped using ArcGIS. Communities with high food call volume and no emergency food assets located within the zip code were categorized as areas with unmet food needs. Results indicated there were more overall calls to 2-1-1 in 2020 (N=37,572) than in 2019 (N=28,623), and significantly more food need calls in 2020 than in 2019 (p<0.01). Eastern Travis County, a racially and ethnically diverse and lower-income area, had the largest increase in food need calls. Two zip codes were identified as having unmet food needs, which informed the strategic placement of emergency food assets. This study illustrates how 2-1-1 data can result in rapid translation of research to policy and program implementation.