Case Study of Resilient Baton Rouge: Applying Depression Collaborative Care and Community Planning to Disaster Recovery.

BackgroundAddressing behavioral health impacts of major disasters is a priority of increasing national attention, but there are limited examples of implementation strategies to guide new disaster responses. We provide a case study of an effort being applied in response to the 2016 Great Flood in Baton Rouge.MethodsResilient Baton Rouge was designed to support recovery after major flooding by building local capacity to implement an expanded model of depression collaborative care for adults, coupled with identifying and responding to local priorities and assets for recovery. For a descriptive, initial evaluation, we coupled analysis of documents and process notes with descriptive surveys of participants in initial training and orientation, including preliminary comparisons among licensed and non-licensed participants to identify training priorities.ResultsWe expanded local behavioral health service delivery capacity through subgrants to four agencies, provision of training tailored to licensed and non-licensed providers and development of advisory councils and partnerships with grassroots and government agencies. We also undertook initial efforts to enhance national collaboration around post-disaster resilience.ConclusionOur partnered processes and lessons learned may be applicable to other communities that aim to promote resilience, as well as planning for and responding to post-disaster behavioral health needs

Methods for community-engaged data collection and analysis in implementation research

BACKGROUND: Community engagement is widely recognized as critical to successful and equitable implementation of evidence-based practices, programs, and policies. However, there are no clear guidelines for community involvement in data collection and analysis in implementation research. METHODS: We describe three specific methods for engaging community members in data collection and analysis: concept mapping, rapid ethnographic assessment, and Photovoice. Common elements are identified from a case study of each method: 1) selection and adaptation of evidence-based strategies for improving adolescent HPV vaccine initiation rates in disadvantaged communities, 2) strategies for implementing medication for opioid use disorders among low-income Medicaid enrollees during natural disasters, and 3) interventions to improve the physical health of adults with severe mental illness living in supportive housing. RESULTS: In all three cases, community members assisted in participant recruitment, provided data, and validated preliminary findings created by researchers. In the Photovoice case study, community members participated in both data collection and analysis, while in the concept mapping, community members also participated in the initial phase of organizing and prioritizing evidence-based strategies during the data analysis. CONCLUSIONS: Community involvement in implementation research data collection and analysis contributes to greater engagement and empowerment of community members and validation of study findings. Use of methods that exhibit both scientific rigor and community relevance of implementation research also contributes to greater community investment in successful implementation outcomes. Nevertheless, the case studies point to the importance and efficiency of the division of labor embedded in community-engaged implementation research. Building capacity for community members to assume greater roles in obtaining and organizing data for preliminary analysis prior to interpretation is recommended

Initial weight loss and early intervention adherence predict long-term weight loss during the Promoting Successful Weight Loss in Primary Care in Louisiana lifestyle intervention

Objective: This study tested whether initial weight change (WC), self-weighing, and adherence to the expected WC trajectory predict longer-term WC in an underserved primary-care population with obesity. Methods: Data from the intervention group (n = 452; 88% women; 74% Black; BMI 37.3 kg/m2 [SD: 4.6]) of the Promoting Successful Weight Loss in Primary Care in Louisiana trial were analyzed. Initial (2-, 4-, and 8-week) percentage WC was calculated from baseline clinic weights and daily at-home weights. Weights were considered adherent if they were on the expected WC trajectory (10% at 6 months with lower [7.5%] and upper [12.5%] bounds). Linear mixed-effects models tested whether initial WC and the number of daily and adherent weights predicted WC at 6, 12, and 24 months. Results: Percentage WC during the initial 2, 4, and 8 weeks predicted percentage WC at 6 (R2 = 0.15, R2 = 0.28, and R2 = 0.50), 12 (R2 = 0.11, R2 = 0.19, and R2 = 0.32), and 24 (R2 = 0.09, R2 = 0.11, and R2 = 0.16) months (all p \u3c 0.01). Initial daily and adherent weights were significantly associated with WC as individual predictors, but they only marginally improved predictions beyond initial weight loss alone in multivariable models. Conclusions: These results highlight the importance of initial WC for predicting long-term WC and show that self-weighing and adherence to the expected WC trajectory can improve WC prediction

Physical activity and weight loss in a pragmatic weight loss trial

The purpose of this study was to determine the association between changes in physical activity and changes in body weight in a cluster-randomized weight loss trial conducted in an underserved population in Louisiana. This study reports analyses conducted in the intervention group only, which was a 24-month multi-component weight loss program delivered by health coaches embedded in primary care clinics. Physical activity was assessed at baseline and at 6, 12, and 24 months of follow-up and changes in body weight were expressed as percent weight change from baseline. Among the sample of 402 patients, percent changes in body weight (mean ± SE) across increasing tertiles of changes in walking between baseline and 24 months were −3.2 ± 1.0%, −5.5 ± 0.9%, and −7.3 ± 0.9%, respectively (p = 0.001). Changes in body weight across increasing tertiles of changes in moderate-to-vigorous-intensity activity between baseline and 24 months were −4.3 ± 1.0%, −5.0 ± 0.9%, and −7.0 ± 0.9%, respectively (p = 0.04). In conclusion, this multi-component intervention resulted in clinically significant weight loss, and greater increases in physical activity over the intervention period were associated with greater percent reductions in body weight. These results are consistent with those from other studies conducted primarily in non-underserved populations

Dietary intake during a pragmatic cluster-randomized weight loss trial in an underserved population in primary care

Background: Currently there are limited data as to whether dietary intake can be improved during pragmatic weight loss interventions in primary care in underserved individuals. Methods: Patients with obesity were recruited into the PROPEL trial, which randomized 18 clinics to either an intensive lifestyle intervention (ILI) or usual care (UC). At baseline and months 6, 12, and 24, fruit and vegetable (F/V) intake and fat intake was determined. Outcomes were analyzed by repeated-measures linear mixed-effects multilevel models and regression models, which included random cluster (clinic) effects. Secondary analyses examined the effects of race, sex, age, and food security status. Results: A total of 803 patients were recruited. 84.4% were female, 67.2% African American, 26.1% received Medicaid, and 65.5% made less than $40,000. No differences in F/V intake were seen between the ILI and UC groups at months 6, 12, or 24. The ILI group reduced percent fat at months 6, 12, and 24 compared to UC. Change in F/V intake was negatively correlated with weight change at month 6 whereas change in fat intake was positively associated with weight change at months 6, 12, and 24 for the ILI group. Conclusions: The pragmatic weight loss intervention in primary care did not increase F/V intake but did reduce fat intake in an underserved population with obesity. F/V intake was negatively associated with weight loss at month 6 whereas percent fat was positively correlated with weight loss throughout the intervention. Future efforts better targeting both increasing F/V intake and reducing fat intake may promote greater weight loss in similar populations. Trial registration: NCT Registration: NCT02561221

Community Resilience Learning Collaborative and Research Network (C-LEARN)

The Community Resilience Learning Collaborative and Research Network (C-LEARN) is a study to learn how best to enhance preparedness and resilience in disaster-prone communities in Southeast Louisiana. In Phase 1 of the study, we conducted qualitative interviews with community leaders, agency and organization heads, and other community stakeholders throughout Orleans Parish, East Baton Rouge Parish, and Coastal Louisiana. Interviews were meant to capture community needs, assets, partnerships, priorities, and previous experiences related to disaster exposure. In Phase 3 of the study, we conducted a second round of qualitative interviews with community leaders and stakeholders to rapidly assess evolving community needs, priorities, and assets as COVID became a growing global public health threat

Foreword. Partnered participatory research to build community capacity and address mental health disparities and disaster.

No abstract available

Interventions for incarcerated adults with opioid use disorder in the United States: A systematic review with a focus on social determinants of health v1

Incarceration poses significant health risks for people involved in the criminal justice system. As the world’s leader in incarceration, the United States incarcerated population is at higher risk for infectious diseases, mental illness, and substance use disorder. Previous studies indicate that the mortality rate for people coming out of prison is almost 13 times higher than that of the general population; opioids contribute to nearly 1 in 8 post-release fatalities overall, and almost half of all overdose deaths. Further, Social Determinants of Health (SDOH) and health care are often interrelated difficulties and conflicting priorities for formerly incarcerated people. Given the interplay of incarceration, opioid use disorder (OUD), and social determinants of health, evidence is urgently needed on intersectional interventions to improve outcomes for this vulnerable group. We will conduct a systematic review of existing peer-reviewed literature published in the last 5 years that describe interventions for justice-involved people with OUD through a social-determinants lens. The purpose of this systematic review is to 1) identify interventions for opioid use disorder that are implemented as part of criminal justice system involvement, 2) determine which interventions also include a social determinants component, and 3) note any common elements between interventions with significant outcomes. </p