The Organization, Content, and Case-Finding Effectiveness of HIV Assisted Partner Services in High HIV Morbidity Areas of the United States.

BACKGROUND: The contemporary effectiveness of assisted partner notification services (APS) in the United States is uncertain. SETTING: State and local jurisdictions in the United States that reported ≥300 new HIV diagnoses in 2018 and were participating in the Ending the Epidemic Initiative. METHODS: The study surveyed health departments to collect data on the content and organization of APS and aggregate data on APS outcomes for 2019. Analyses defined contact and case-finding indices (i.e., sex partners named and newly diagnosed per index case receiving APS) and estimated staff case-finding productivity. RESULTS: Sixteen (84%) of 19 jurisdictions responded to the survey, providing APS outcome data for 14 areas (74%). Most health departments routinely integrated APS with linkage of cases and partners to HIV care (88%) and pre-exposure prophylaxis (88%). A total of 19,164 persons were newly diagnosed with HIV in the 14 areas. Staff initiated APS investigations on 14,203 cases (74%) and provided APS to 9937 cases (52%). Cases named 6799 partners (contact index = 0.68), of whom 1841 (27%) had previously diagnosed HIV, 2202 (32%) tested HIV negative, 541 (8% of named and 20% of tested partners) were newly diagnosed with HIV, and 2215 (33%) were not known to have tested. Across jurisdictions, the case-finding index was 0.054 (median = 0.05, range 0.015-0.12). Health departments employed 292 full-time equivalent staff to provide APS. These staff identified a median of 2.0 new HIV infections per staff per year. APS accounted for 2.8% of new diagnoses in 2019. CONCLUSIONS: HIV case-finding resulting from APS in the United States is low.

Trojan Horse: An Analysis of Targeted Advertising to Reduce Sexually Transmitted Diseases Among YMSM.

BACKGROUND: Men who have sex with men (MSM) increasingly use internet-based websites and geospatial apps to seek sex. Though these platforms may be useful for public health intervention, evaluations of such interventions are rare. We sought to evaluate the online behavior of young MSM of color in Philadelphia and the effectiveness of using ads to link them to DoYouPhilly.org, where users can order free condoms, lubricant, and sexually transmitted infection test kits delivered via the U.S. postal service. METHOD: Data collection and analyses were conducted in two phases. First, we performed keyword research and analyzed web browser logs using a proprietary data set owned by Microsoft. Subsequently, we ran a Google Ads campaign using the keywords identified in the preliminary phase, and directed targeted users to the DoYouPhilly.org condom or test kit ordering pages. Results were analyzed using MATLAB 2018. RESULTS: Test kit advertisements received 5,628 impressions, 157 clicks, and 18 unique conversions. The condom advertisements received 128,007 impressions, 2,583 clicks, and 303 unique conversions. Correlation between the click-through rate and the conversion rate per keyword was ρ = -.35 (P = .0096) and per advertisement was ρ = .40 (P = .14). Keywords that directly related to condoms were most effective for condom ordering (42% conversion rate vs. ≤2% for other classes), while keywords emphasizing the adverse effects of unprotected sex were most effective in test kit ordering (91% conversion rate vs. 13% and 12% for other classes). CONCLUSIONS: Online advertisements seemed to affect real-world sexual health behavior, as measured by orders of condoms and test kits, among a group of young MSM living in the same community.

Mathematical modeling study of school-based chlamydia screening: potential impact on chlamydia prevalence in intervention schools and surrounding communities.

BACKGROUND: Chlamydia screening in high schools offers a way to reach adolescents outside of a traditional clinic setting. Using transmission dynamic modeling, we examined the potential impact of high-school-based chlamydia screening programs on the burden of infection within intervention schools and surrounding communities, under varying epidemiological and programmatic conditions. METHODS: A chlamydia transmission model was calibrated to epidemiological data from three different settings. Philadelphia and Chicago are two high-burden cities with existing school-based screening programs. Rural Iowa does not have an existing program but represents a low-burden setting. We modeled the effects of the two existing programs to analyze the potential influence of program coverage and student participation. All three settings were used to examine a broader set of hypothetical programs with varying coverage levels and time trends in participation. RESULTS: In the modeled Philadelphia program, prevalence among the intervention schools' sexually active 15-18 years old population was 4.34% (95% credible interval 3.75-4.71%)after 12 program years compared to 5.03% (4.39-5.43%) in absence of the program. In the modeled Chicago program, prevalence was estimated as 5.97% (2.60-7.88%) after 4 program years compared to 7.00% (3.08-9.29%) without the program. In the broader hypothetical scenarios including both high-burden and low-burden settings, impact of school-based screening programs was greater in absolute terms in the higher-prevalence settings, and benefits in the community were approximately proportional to population coverage of intervention schools. Most benefits were garnered if the student participation did not decline over time. CONCLUSIONS: Sustained high student participation in school-based screening programs and broad coverage of schools within a target community are likely needed to maximize program benefits in terms of reduced burden of chlamydia in the adolescent population.