The Intersection of Age and HIV Status for Black Sexual Minority Men (BSMM): A Social Network Analysis.

Advancements in treatment have resulted in increased life expectancy for individuals living with HIV. However, there is a dearth of literature focused on the intersection of age and HIV status, particularly for older Black sexual minority men (SMM) who are disproportionately impacted by HIV. This study aimed to examine the intersecting effect of age and HIV status on Black SMM social networks in a sample from the Social Network and Prevention Study. Participants were 18 years of age or older, identified as cis-gender Black or African American, self-identified as SMM, reported unprotected sex within the past six months, and resided in Baltimore city or a surrounding county. The sample was divided into four categories by age (e.g., young, mature) and HIV status (e.g., positive, negative). Of the sample, 167 men were (a) Young & HIV negative, 116 men were (b) Young & HIV positive, 44 men were (c) Mature & HIV negative, and 42 men were (d) Mature & HIV positive. Among the four groups, mature men who were HIV positive had the fewest average number of alters who knew they were SMM. There was also overlap in the range of age of sexual partners across the four groups, ranging from 17 to 53.5 (Group 1), 20-60 (Group 2), 29.5-60 (Group 3), and 23-63 (Group 4) years of age. Although a cross-sectional analysis, our findings suggest value in life course-informed research and practice for providing HIV and sexual health programming. Focus on services provided by community organizations may help mitigate existing disparities.

Use of geofencing interventions in population health research: a scoping review.

OBJECTIVES: Technological advancements that use global positioning system (GPS), such as geofencing, provide the opportunity to examine place-based context in population health research. This review aimed to systematically identify, assess and synthesise the existing evidence on geofencing intervention design, acceptability, feasibility and/or impact. DESIGN: Scoping review, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidance for reporting. DATA SOURCES: PubMed, CINAHL, EMBASE, Web of Science, Cochrane and PsycINFO for articles in English published up to 31 December 2021. ELIGIBILITY CRITERIA: Articles were included if geofencing was used as a mechanism for intervention delivery. EXCLUSION CRITERIA: (1) a component or combination of GPS, geographical information system or ecological momentary assessment was used without delivery of an intervention; (2) did not include a health or health-related outcome from the geofencing intervention; or (3) was not a peer-reviewed study. DATA EXTRACTION AND SYNTHESIS: Several researchers independently reviewed all abstracts and full-text articles for final inclusion. RESULTS: A total of 2171 articles were found; after exclusions, nine studies were included in the review. The majority were published in 5 years preceding the search (89%). Geofences in most studies (n=5) were fixed and programmed in the mobile application carried by participants without their input. Mechanisms of geofencing interventions were classified as direct or indirect, with five studies (56%) using direct interventions. There were several different health outcomes (from smoking to problematic alcohol use) across the five studies that used a direct geofencing intervention. CONCLUSIONS: This scoping review found geofencing to be an emerging technology that is an acceptable and feasible intervention applied to several different populations and health outcomes. Future studies should specify the rationale for the locations that are geofenced and user input. Moreover, attention to mechanisms of actions will enable scientists to understand not only whether geofencing is an appropriate and effective intervention but why it works to achieve the outcomes observed.

Brief Report: Prevalence and Predictors of Concern About Anal Cancer Among Sexual and Gender Minorites Living With HIV in Abuja, Nigeria.

BACKGROUND: Anal cancer rates are rising among sexual and gender minorities (SGM) who live with HIV and engage in anal sex. Given that secondary cancer prevention programs for nonanal cancers are underutilized in sub-Saharan Africa, our objective was to assess concerns for anal cancer and hesitancy with cancer prevention among at-risk Nigerian SGM. METHODS: Within 4 weeks, SGM living with HIV were surveyed on levels of worry and hesitancy in engaging with a future anal cancer screening and treatment study. Worry was measured on a 5-point Likert scale (0%, 25%, 50%, 75%, 100%) and categorized as low ≤25%, moderate 50%, and high ≥75%. Ordinal logistic regression identified factors associated with worry by estimating unadjusted and adjusted odds ratios (aOR) and 95% confidence intervals (95% CI). RESULTS: Of 800 enrolled SGM, median age was 32 (interquartile range: 25-38) years, 99.2% were on antiretroviral therapy, of which 78.5% reported ≥95% pill adherence. The prevalence of moderate and high worry was 46.9% and 39.5%, respectively. Increasing worry was associated with reporting as a bottom for sexual position (aOR: 3.12; 95% CI: 2.04 to 4.80), top or bottom for sexual position (aOR: 2.94; 95% CI: 1.92 to 4.52), or knowing anyone with anal cancer (aOR: 2.99; 95% CI: 1.36 to 6.57). Participants aged ≥35 years were less worried (aOR: 0.72; 95% CI: 0.59 to 0.95). Ninety-nine percent of participants provided contact information for a future cancer prevention study. DISCUSSION: SGM who heard about and engaged in at-risk practices for anal cancer were willing to access secondary prevention. Addressing biopsychosocial factors such as age could foster future engagement.

The role of county-level socioeconomic status on brand-name prescriptions in Medicare part D: A cross-sectional Study.

The objective of this study was to examine the association between county-level socioeconomic factors and brand-name drug prescription drug patterns among medical specialties with overall high brand-name outpatient prescription use.This cross-sectional study used data from 2 publicly available datasets. The 2015 Medicare Part D PUF data quantifies the prescription rates at the county-level and data from the US Census Bureau provides information on socioeconomic status at the county-level.We analyzed 3,821,523 brand-name claims and 14,088,613 generic claims reported by health providers from 40 specialties as provided by the 2015 Medicare Part D dataset. Internal Medicine, Family Practice, General Practice, Cardiology, and Ophthalmology accounted for 71% of the total amount of brand-name drugs filled under Medicare Part D in 2015. As the presence of individuals with an income ≥$100,000 increased in a given county, the likelihood of receiving a brand-name prescription claim increased.A county-level association exists involving socioeconomic factors and outpatient brand-name drug prescription patterns. Future interventions should consider these factors in order to reduce percentage of brand-name drugs filled and decrease health care expenditures.

Correlation of antimicrobial prescription rate and county income in medicare part D.

The objective of this study was to examine whether patient income has an impact on likelihood of being prescribed an antimicrobial agent at the county level. A better understanding of factors that influence antimicrobial prescription is needed to efficiently mitigate rates of antimicrobial agents prescribed.This cross-sectional study used data from two publicly available datasets. The 2015 Medicare Part D PUF data quantifies the antimicrobial prescription rate at the county level and data from US Census Bureau provides information on socioeconomic status at the county level.At the county level, we explained 48% of the variation in antimicrobial prescriptions by socioeconomic status, age, gender, and race. More specifically, socioeconomic status accounted for 26% of the variation in antimicrobial rate and as income increased, correlation with antimicrobial prescription rate trended down.We determined patient income and other sociodemographics to influence the prescription of antimicrobial agents. Interventions should consider these factors to effectively evaluate antimicrobial prescription methods. Findings from this study can help guide intervention efforts which aim to minimize the number of inappropriate antimicrobials prescribed, such as antimicrobial stewardship programs. Effective interventions have the capability of decreasing levels of inappropriate antimicrobials prescribed and prevent future cases of resistance.