Optimizing Screening for HIV

Systematic Review of Neighborhood Factors Impacting HIV Care Continuum Participation in the United States

Social determinants have been increasingly implicated in accelerating HIV vulnerability, particularly for disenfranchised communities. Among these determinants, neighborhood factors play an important role in undermining HIV prevention. However, there has been little research comprehensively examining the impact of neighborhood factors on HIV care continuum participation in the US. To address this, we conducted a systematic review (PROSPERO registration number CRD42022359787) to determine neighborhood factors most frequently associated with diminished HIV care continuum participation. Peer-reviewed studies were included if published between 2013 - 2022, centralized in the US, and analyzed a neighborhood factor with at least one aspect of the HIV care continuum. The review was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. Study quality was guided by LEGEND (Let Evidence Guide Every New Decision) evaluation guidelines. Systematic review analysis was conducted using Covidence software. There were 3,192 studies identified for initial screening. Forty-four were included for review after eliminating duplicates, title/abstract screening, and eligibility assessment. Social and economic disenfranchisement of neighborhoods negatively impacts HIV care continuum participation among persons living with HIV. In particular, five key neighborhood factors (socioeconomic status, segregation, social disorder, stigma, and care access) were associated with challenged HIV care continuum participation. Race moderated relationships between neighborhood quality and HIV care continuum participation. Structural interventions addressing neighborhood social and economic challenges may have favorable downstream effects for improving HIV care continuum participation.

4th Generation HIV screening in the emergency department: net profit or loss for hospitals?

ABSTRACTThe objective of this study was to determine hospital costs and revenue of universal opt-out HIV ED screening. An electronic medical record (EMR)-directed, automated ED screening program was instituted at an academic medical center in San Diego, California. A base model calculated net income in US dollars for the hospital by comparing annual testing costs with reimbursements using payor mixes and cost variables. To account for differences in payor mixes, testing costs, and reimbursement rates across hospitals in the US, we performed a probabilistic sensitivity analysis. The base model included a total of 12,513 annual 4th generation HIV tests with the following payor mix: 18% Medicare, 9% MediCal, 28% commercial and 8% self-payers, with the remainder being capitated contracts. The base model resulted in a net profit for the hospital. In the probabilistic sensitivity analysis, universal 4th generation HIV screening resulted in a net profit for the hospital in 81.9% of simulations. Universal 4th generation opt-out HIV screening in EDs resulted in a net profit to an academic hospital. Sensitivity analysis indicated that ED HIV screening results in a net-profit for the majority of simulations, with higher proportions of self-payers being the major predictor of a net loss.

Dynamics and Dispersal of Local HIV Epidemics Within San Diego and Across The San Diego-Tijuana Border

BACKGROUND

Evolutionary analyses of well-annotated HIV sequence data can provide insights into viral transmission patterns and associated factors. Here, we explored the transmission dynamics of the HIV-1 subtype B epidemic across the San Diego (US) - Tijuana (Mexico) border region to identify factors that could help guide public health policy.

METHODS

HIV pol sequences were collected from people with HIV in San Diego County and from Tijuana between 1996-2018. A multistep phylogenetic approach was used to characterize the dynamics of spread. The contribution of geospatial factors and HIV risk group to the local dynamics were evaluated.

RESULTS

Phylogeographic analyses of the 2,034 sequences revealed an important contribution of local transmission in sustaining the epidemic, as well as a complex viral migration network across the region. Geospatial viral dispersal between San Diego communities occurred predominantly among men-who-have-sex with-men with central San Diego being the main source (34.9%) and recipient (39.5%) of migration events. HIV migration was more frequent from San Diego county towards Tijuana than vice versa. Migrations were best explained by driving time between locations.

CONCLUSION

The US-Mexico border may not be a major barrier to the spread of HIV, which may stimulate coordinated transnational intervention approaches. Whereas a focus on central San Diego has the potential to avert most spread, the substantial viral migration independent of central San Diego shows that county-wide efforts will be more effective. Combined, this work shows that epidemiological information gleaned from pathogen genomes can uncover mechanisms that underlie sustained spread and, in turn, can be a building block of public health decision making.