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Integrated Behavioral Health (IBH) clinics in primary care offer cost-effective options for receiving mental health (MH) support for Black patients. By tracking specific aspects of social determinants of health (SDOH), more commonly assessed in primary care, IBH programs can provide helpful insights to both MH and primary care providers. This retrospective study examined the impact of IBH care delivery on MH and social needs variables in a Black adult patient population. MH outcomes were assessed using the PHQ9 and GAD7, with a positive score being greater than 5. There were N = 119 Black patients included in analysis. The sample was 83% female and the average age at first visit was 41. There was a significant reduction in both GAD7 (change = -1.8,  < .001) and PHQ9 (change = -2.3,  < .001) scores for patients receiving IBH services. There were no significant differences between those who had a SDOH screen and having an initial elevated GAD7/PHQ9 score. More culturally inclusive research on the impact of IBH implementation where Black patients receive their primary care is needed to maximize treatment possibilities among this group.

•Seasonal influenza vaccine coverage is highest in women, white and older people.•Vaccine acceptance is greater in men and white individuals and increases with age.•Adverse events are most common in young females.•Elderly white men were found to have the best scores across the three parameters.•Young women belonging to racial minorities performed the worst. Influenza is a significant threat to public health worldwide. Despite the widespread availability of effective and generally safe vaccines, the acceptance and coverage of influenza vaccines are significantly lower than recommended. Sociodemographic variables are known to be potential predictors of differential influenza vaccine uptake and outcomes. This review aims to (1) identify how sociodemographic characteristics such as age, sex, gender, and race may influence seasonal influenza vaccine acceptance and coverage; and (2) evaluate the role of these sociodemographic characteristics in differential adverse reactions among vaccinated individuals. PubMed was used as the database to search for published literature in three thematic areas related to the seasonal influenza vaccine - vaccine acceptance, adverse reactions, and vaccine coverage. A total of 3249 articles published between 2010 and 2020 were screened and reviewed, of which 39 studies were included in this literature review. By the three thematic areas, 17 studies assessed vaccine acceptance, 8 studies focused on adverse reactions, and 14 examined coverage of the seasonal influenza vaccine. There were also two studies that focused on more than one of the areas of interest. Each of the four sociodemographic predictors – age, sex, race, and gender – were found to significantly influence vaccine acceptance, receipt and outcomes in this review.

Ever-increasing smartphone-generated video content demands intelligent techniques to edit and enhance videos on power-constrained devices. Most of the best performing algorithms for video understanding tasks like action recognition, localization, etc., rely heavily on rich spatio-temporal representations to make accurate predictions. For effective learning of the spatio-temporal representation, it is crucial to understand the underlying object motion patterns present in the video. In this paper, we propose a novel approach for understanding object motions via motion type classification. The proposed motion type classifier predicts a motion type for the video based on the trajectories of the objects present. Our classifier assigns a motion type for the given video from the following five primitive motion classes: linear, projectile, oscillatory, local and random. We demonstrate that the representations learned from the motion type classification generalizes well for the challenging downstream task of video retrieval. Further, we proposed a recommendation system for video playback style based on the motion type classifier predictions.