Addressing Health Disparities in Public Health Through the Application of Data Science Software in the Last 5 Years: A Preferred Reporting Items for Structured Review and Meta-Analyses Structured Review.

The application of data science resources can enhance our ability to reduce health disparities affecting communities across the country. In this paper, we use the Preferred Reporting Items for Structured Review and Meta-Analyses methodology to conduct a thematic analysis of selected studies and identify micro and macro themes within the literature. The authors of this analysis reviewed articles that included data science software applications and their role in focusing efforts to address health disparities affecting the health of citizens in specific communities across the country. Abstracts were reviewed for research relevance after duplicates were removed, and documents were eliminated from consideration during the screening based on the exclusion criteria. At the conclusion of the structured literature review, the results emphasized the strong utility of geographically directed assessment. This highlights the need for the integration of geo- and statistical methodologies in the use of data science software for healthcare applications, which can be a useful means to identify locations where health disparities are present and can focus efforts to resolve these health disparities. Nurses, physicians, and health educators can be dispatched to the geographical areas where health disparities are most prevalent.

Systematic Review: HIV, Aging, and Housing-A North American Perspective, 2012-2023.

Advances in anti-retroviral therapy (ART) have decreased mortality rates and subsequently led to a rise in the number of HIV-positive people living longer. The housing experiences of this new population of interest-older adults (50 years and older) living with HIV-are under-researched. Understanding the housing experiences and unmet needs of older people with HIV can better provide comprehensive care services for them. This study's systematic review evaluated the peer-reviewed literature reporting housing access/insecurity/assistance/options, housing impact, and unmet needs of older individuals living with HIV in North America from 2012 to 2023. Furthermore, Latent Semantic Analysis (LSA), a text-mining technique, and Singular Value Decomposition (SVD) for text clustering were utilized to examine unstructured data from the abstracts selected from the review. The goal was to allow for a better understanding of the relationships between terms in the articles and the identification of emerging public health key themes affecting older adults living with HIV. The results of text clustering yielded two clusters focusing on (1) improvements to housing and healthcare services access and policies and (2) unmet needs-social support, mental health, finance, food, and sexuality insecurities. Topic modeling demonstrated four topics, which we themed to represent (1) a holistic care approach; (2) insecurities-food, financial, sexuality, and other basic needs; (3) access to housing and treatment/care; and (4) homelessness and HIV-related health outcomes. Stable housing, food, and healthcare services access and availability are critical elements to incorporating comprehensive, holistic healthcare for older adults living with HIV. The aging population requires high-priority policies for accessible and equitable healthcare. Clinicians and policymakers should address individual barriers, adopt a patient-centered approach, increase doctor visits, provide competency training, ensure long-term follow-up, involve families, and improve patient education in care management, contributing to HIV/AIDS geriatric care models.

Mechanisms of Social Interaction and Virtual Connections as Strong Predictors of Wellbeing of Older Adults.

Socially engaged older adults are less likely to decline in health and happiness and have a higher quality of life. Building upon this premise, examination was conducted on the domains of social determinants of health, specifically the social and community context per Healthy People 2030 objectives. These mechanisms of social interaction, in the form of group activities, community engagement, and virtual interactions via email or text message, were assessed using hierarchical regression analysis to find out their association with wellbeing, depression symptoms, and cognition of older adults. The data included a total of 4623 sample of older adults from the National Health and Aging Trend Study (NHATS) Round 8. The results showed that social support explained a 40.3% unique variance on wellbeing. The use of text message and email had a moderating effect on community engagement and self-reported depression level in older adults. Findings suggest that community programs, shared group activities, or technology training workshops can improve social interaction and support cognition and reduce depression in older adults. Directions for future research include examining human behaviors and perceptions and increasing technology training sessions to promote independence of older adults and increase their social connections. In addition, participant involvement in interventions would enhance the possibility of success of such endeavors.