Translational behavioral medicine
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The COVID-19 pandemic has been mitigated primarily using social and behavioral intervention strategies, and these strategies have social and economic impacts, as well as potential downstream health impacts that require further study. Digital and community-based interventions are being increasingly relied upon to address these health impacts and bridge the gap in health care access despite insufficient research of these interventions as a replacement for, not an adjunct to, in-person clinical care. ⋯ All of these issues are disproportionately impacting underserved, vulnerable, and health disparities populations. This commentary describes the various initiatives of the National Institutes of Health to address these social, behavioral, economic, and health disparities impacts of the pandemic, the findings from which can improve our response to the current pandemic and prepare us better for future infectious disease outbreaks.
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Review
Addressing inequities in COVID-19 morbidity and mortality: research and policy recommendations.
The COVID-19 pandemic is the greatest global public health crisis since the 1918 influenza outbreak. As of early June, the novel coronavirus has infected more than 6.3 million people worldwide and more than 1.9 million in the United States (US). The total number of recorded deaths due to COVID-19 are growing at an alarming rate globally (³383,000) and nationally (³109,000) Evidence is mounting regarding the heavier burden of COVID-19 infection, morbidity, and mortality on the underserved populations in the US. ⋯ The commentary also offers short, intermediate and long-term research and policy focused recommendations. Both the research and policy recommendations included in this commentary emphasize equity-driven: (1) research practices, including applying a social determinants and health equity lens on monitoring, evaluation, and clinical trials activities on COVID-19; and (2) policy actions, such as dedicating resources to prioritize high-risk communities for testing, treatment, and prevention approaches and implementing organizational, institutional, and legislative policies that address the social and economic barriers to overall well-being that these populations face during a pandemic. It is our hope that these recommendations will generate momentum in delivering timely, effective, and lifesaving changes.
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The multiphase optimization strategy (MOST) is an increasingly popular framework to prepare, optimize, and evaluate multicomponent behavioral health interventions. Within this framework, it is common to use a factorial trial to assemble an optimized multicomponent intervention by simultaneously testing several intervention components. With the possibility of a large number of conditions (unique combinations of components) and a goal to balance conditions on both sample size (for statistical efficiency) and baseline covariates (for internal validity), such trials face additional randomization challenges compared to the standard two-arm trial. ⋯ We identify two key randomization decisions for MOST-related factorial trials: (i) whether to randomize to components or conditions and (ii) whether to use restricted randomization techniques, such as stratification, permuted blocks, and minimization. We also provide a checklist to assist researchers in ensuring complete reporting of randomization methods used. As more investigators use factorial trials within the MOST framework for assembling optimized multicomponent behavioral interventions, appropriate implementation and rigorous reporting of randomization procedures will be essential for ensuring the efficiency and validity of the results.
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Prevalences of childhood overweight and obesity represent major public health concerns. School-based policy strategies represent one approach to increasing access to healthy foods; however, overall health impact of such initiatives is often overlooked. We undertook program evaluation of a school wellness policy focused approach in low-income, multiracial communities in southeast Los Angeles. ⋯ We use this application of the REAIM framework to extract lessons learned from districts and after school programs that participated throughout the grant period. Through our partnership with schools we learned that our program evaluation filled an information gap for districts working to meet USDA's wellness policy requirement. Finally, while the wellness policy is an important lever in striving towards health equity in districts disproportionately impacted by obesity, additional policy, system, and environmental approaches are required to build a culture of health.
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Randomized Controlled Trial
Exercise effects on quality of life, mood, and self-worth in overweight children: the SMART randomized controlled trial.
Overweight children are at risk for poor quality of life (QOL), depression, self-worth, and behavior problems. Exercise trials with children have shown improved mood and self-worth. Few studies utilized an attention control condition, QOL outcomes, or a follow-up evaluation after the intervention ends. ⋯ Sedentary programs with games and artistic activities, interaction with adults and peers, and behavioral structure may be more beneficial to boys' mood than exercise. Some benefits of exercise in prior studies are probably attributable to program elements such as attention from adults. Trial Registration: Clinicaltrials.gov, NCT02227095.