Impact of COVID-19 on People Living with HIV: Data from Five Medical Monitoring Project Sites, 2020-2022.

BACKGROUND: The COVID-19 pandemic disrupted global economic and healthcare systems. People living with HIV (PLWH) represent a marginalized and stigmatized population who may have been particularly impacted. The purpose of this analysis was to describe the impact of the COVID-19 pandemic on PLWH in the United States. SETTING: United States. METHODS: We analyzed surveys of behavioral and clinical characteristics of PLWH residing in five states that participated in the Medical Monitoring Project between 2020 and 2022. We described the impact of COVID-19 illness, testing and diagnoses, receipt of medical care, social service access, employment, and preventive measures by project site and demographic characteristics. RESULTS: Unweighted data from 1715 PLWH were analyzed. A high proportion of PLWH had medical care disrupted by the pandemic; 31% of PLWH missed medical appointments, 26% missed routine labs, and 7% missed antiretroviral therapy doses. 30% of PLWH reported losing wages and 19% reported difficulty in accessing social services. Overall, 88% reported receiving at least one dose of COVID-19 vaccine, but vaccine uptake was low among younger, Black and Hispanic or Latina/o/x PLWH. CONCLUSION: This descriptive analysis reinforces previous findings that show that COVID-19 negatively impacted PLWH and their ability to obtain medical care. Additional efforts will be critical to ameliorating the longer-term impacts of COVID-19 on the health of PLWH and supporting PLWH through future pandemics and healthcare system disruptions.

Pre-exposure prophylaxis (PrEP) use history in people with antiretroviral resistance at HIV diagnosis: Findings from New York City HIV surveillance and partner services, 2015-2022.

BACKGROUND: Drug resistance may be acquired in people starting HIV pre-exposure prophylaxis (PrEP) during undiagnosed infection. Population-based estimates of PrEP-related resistance are lacking. METHODS: We used New York City surveillance and partner services data to measure the effect of PrEP use (tenofovir disoproxil fumarate/tenofivir alafenamide fumarate with emtricitabine) history on baseline prevalence of M184I/V mutations in people diagnosed with HIV, 2015-2022. PrEP use was categorized as "Recent" defined as PrEP stopped ≤ 90 days before diagnosis, "Past" as PrEP stopped >90 days before diagnosis, and "No known use". Resistance associated mutations were determined using the Stanford Algorithm. We used log binomial regression to generate adjusted relative risk (aRR) of M184I/V by PrEP use history in people with and without acute HIV infection (AHI). RESULTS: Of 4,246 newly diagnosed people with a genotype ≤30 days of diagnosis, 560 (13%) had AHI, 136 (3%) reported recent, and 124 (35%) past PrEP use; 98 (2%) harbored M184I/V. In people with AHI, recent PrEP use was associated with 6 times greater risk of M184I/V than no known use (aRR: 5.86; 95% confidence interval [CI]: 2.49-13.77). In people without AHI, risk of M184I/V in recent users was 7 times (aRR:7.26; 95% CI: 3.98-13.24), and in past users, 4 times that of people with no known use (aRR: 4.46; 95% CI: 2.15-9.24). CONCLUSIONS: PrEP use was strongly associated with baseline M184I/V in NYC, regardless of AHI. Ordering a nucleic acid test when indicated after assessment of exposure, antiretroviral history and AHI symptoms can decrease PrEP initiation in people with undetected infection.

Integrating Contact Tracers Into Point-of-Care Testing Workflow to Accelerate the Tracing of People With Exposure to COVID-19, August-December 2020, New York City.

OBJECTIVES: We assessed the timeliness of contact tracing following rapid-positive COVID-19 test result at point-of-care testing (POCT) sites in New York City (NYC). DESIGN: Interviewed case-patients to elicit exposed contacts and conducted COVID-19 exposure notifications. SETTINGS: Twenty-two COVID-19 POCT sites in NYC, the 2 NYC international airports, and 1 ferry terminal. PARTICIPANTS: Case-patients with rapid-positive COVID-19 test results and their named contacts. MAIN OUTCOME MEASURES: We quantified the proportions of interviewed individuals with COVID-19 and notified contacts and assessed the timeliness between the dates of the rapid-positive COVID-19 test results and the interviews or notifications. RESULTS: In total, 11 683 individuals with rapid-positive COVID-19 test results were referred for contact tracing on the day of their diagnosis; 8878 (76) of whom were interviewed within 1 day of diagnosis, of whom 5499 (62%) named 11 486 contacts. A median of 1.24 contacts were identified from each interview. The odds of eliciting contacts were significantly higher among individuals reporting COVID-19 symptoms than among persons with no symptoms (51% vs 36%; adjusted odds ratio [aOR] = 1.37; 95% confidence interval [CI], 1.11-1.70) or living with 1 or more persons than living alone (89% vs 38%; aOR = 12.11; 95% CI, 10.73-13.68). Among the 8878 interviewed case-patients, 8317 (94%) were interviewed within 1 day of their rapid-positive COVID-19 test results and 91% of contact notifications were completed within 1 day of contact identification. The median interval from test result to interview date and from case investigation interview to contact notification were both 0 days (IQR = 0). CONCLUSIONS: The integration of contact tracers into COVID-19 POCT workflow achieved timely case investigation and contact notification. Accelerated contact tracing can be used to curb COVID-19 transmission during local outbreaks.

Two Models for Increasing the Scope and Activities of Human Immunodeficiency Virus Partner Services Programs: Preliminary Findings From the Fast Track Project.

BACKGROUND: We sought to develop a novel strategy for expanding an existing human immunodeficiency virus (HIV) partner services (PS) model to provide comprehensive sexual health services, including sexually transmitted infection testing, a virtual telemedicine visit, and access to immediate start medication (antiretroviral treatment, preexposure or postexposure prophylaxis). Fast Track was a National Institutes of Health-funded implementation science trial in New York City to pilot and refine the new strategy, and examine its feasibility, acceptability, and impact. METHODS: Over the course of 1 year, health department staff collaborated with the academic research team to develop Fast Track protocols and workflows, create a cloud-based database to interview and track patients, and train disease intervention specialists to deliver the new program. The initial field-based program (Fast Track 1.0) was piloted March to December 2019. A modified telephone-based program (Fast Track 2.0) was developed in response to COVID-19 pandemic constraints and was piloted August 2020 to March 2021. RESULTS: These 2 pilots demonstrate the feasibility and acceptability of integrating comprehensive sexual health services into HIV PS programs. Disease intervention specialists were successfully trained to conduct comprehensive sexual health visits, and clients reported that the availability of comprehensive sexual health services made them more willing to engage with PS. Key lessons for scale-up include managing collaboration with a licensed provider, navigating technical and technological issues, and challenges in client engagement and retention. CONCLUSIONS: The success of this integrated strategy suggests that telehealth visits may be a critical gateway to care engagement for PS clients. This model is an innovative strategy for increasing engagement with HIV testing, prevention, and treatment for underserved populations.

COVID-19 Case Investigation and Contact Tracing in New York City, June 1, 2020, to October 31, 2021.

Importance: Contact tracing is a core strategy for preventing the spread of many infectious diseases of public health concern. Better understanding of the outcomes of contact tracing for COVID-19 as well as the operational opportunities and challenges in establishing a program for a jurisdiction as large as New York City (NYC) is important for the evaluation of this strategy. Objective: To describe the establishment, scaling, and maintenance of Trace, NYC's contact tracing program, and share data on outcomes during its first 17 months. Design, Setting, and Participants: This cross-sectional study included people with laboratory test-confirmed and probable COVID-19 and their contacts in NYC between June 1, 2020, and October 31, 2021. Trace launched on June 1, 2020, and had a workforce of 4147 contact tracers, with the majority of the workforce performing their jobs completely remotely. Data were analyzed in March 2022. Main Outcomes and Measures: Number and proportion of persons with COVID-19 and contacts on whom investigations were attempted and completed; timeliness of interviews relative to symptom onset or exposure for symptomatic cases and contacts, respectively. Results: Case investigations were attempted for 941 035 persons. Of those, 840 922 (89.4%) were reached and 711 353 (75.6%) completed an intake interview (women and girls, 358 775 [50.4%]; 60 178 [8.5%] Asian, 110 636 [15.6%] Black, 210 489 [28.3%] Hispanic or Latino, 157 349 [22.1%] White). Interviews were attempted for 1 218 650 contacts. Of those, 904 927 (74.3%) were reached, and 590 333 (48.4%) completed intake (women and girls, 219 261 [37.2%]; 47 403 [8.0%] Asian, 98 916 [16.8%] Black, 177 600 [30.1%] Hispanic or Latino, 116 559 [19.7%] White). Completion rates were consistent over time and resistant to changes related to vaccination as well as isolation and quarantine guidance. Among symptomatic cases, median time from symptom onset to intake completion was 4.7 days; a median 1.4 contacts were identified per case. Median time from contacts' last date of exposure to intake completion was 2.3 days. Among contacts, 30.1% were tested within 14 days of notification. Among cases, 27.8% were known to Trace as contacts. The overall expense for Trace from May 6, 2020, through October 31, 2021, was approximately $600 million. Conclusions and Relevance: Despite the complexity of developing a contact tracing program in a diverse city with a population of over 8 million people, in this case study we were able to identify 1.4 contacts per case and offer resources to safely isolate and quarantine to over 1 million cases and contacts in this study period.

Outcomes of a Community Engagement and Information Gathering Program to Support Telephone-Based COVID-19 Contact Tracing: Descriptive Analysis.

BACKGROUND: Contact tracing is an important public health tool for curbing the spread of infectious diseases. Effective and efficient contact tracing involves the rapid identification of individuals with infection and their exposed contacts and ensuring their isolation or quarantine, respectively. Manual contact tracing via telephone call and digital proximity app technology have been key strategies in mitigating the spread of COVID-19. However, many people are not reached for COVID-19 contact tracing due to missing telephone numbers or nonresponse to telephone calls. The New York City COVID-19 Trace program augmented the efforts of telephone-based contact tracers with information gatherers (IGs) to search and obtain telephone numbers or residential addresses, and community engagement specialists (CESs) made home visits to individuals that were not contacted via telephone calls. OBJECTIVE: The aim of this study was to assess the contribution of information gathering and home visits to the yields of COVID-19 contact tracing in New York City. METHODS: IGs looked for phone numbers or addresses when records were missing phone numbers to locate case-patients or contacts. CESs made home visits to case-patients and contacts with no phone numbers or those who were not reached by telephone-based tracers. Contact tracing management software was used to triage and queue assignments for the telephone-based tracers, IGs, and CESs. We measured the outcomes of contact tracing-related tasks performed by the IGs and CESs from July 2020 to June 2021. RESULTS: Of 659,484 cases and 861,566 contact records in the Trace system, 28% (185,485) of cases and 35% (303,550) of contacts were referred to IGs. IGs obtained new phone numbers for 33% (61,804) of case-patients and 11% (31,951) of contacts; 50% (31,019) of the case-patients and 46% (14,604) of the contacts with new phone numbers completed interviews; 25% (167,815) of case-patients and 8% (72,437) of contacts were referred to CESs. CESs attempted 80% (132,781) of case and 69% (49,846) of contact investigations, of which 47% (62,733) and 50% (25,015) respectively, completed interviews. An additional 12,192 contacts were identified following IG investigations and 13,507 following CES interventions. CONCLUSIONS: Gathering new or missing locating information and making home visits increased the number of case-patients and contacts interviewed for contact tracing and resulted in additional contacts. When possible, contact tracing programs should add information gathering and home visiting strategies to increase COVID-19 contact tracing coverage and yields as well as promote equity in the delivery of this public health intervention.

Community-Based Workforce for COVID-19 Contact Tracing and Prevention Activities in New York City, July-December 2020.

OBJECTIVES: High rates of hospitalization and death disproportionately affected Black, Latino, and Asian residents of New York City at the beginning of the COVID-19 pandemic. To suppress COVID-19 transmission, New York City implemented a workforce of community engagement specialists (CESs) to conduct home-based contact tracing when telephone numbers were lacking or telephone-based efforts were unsuccessful and to disseminate COVID-19 information and sanitary supplies. MATERIALS AND METHODS: We describe the recruitment, training, and deployment of a multilingual CES workforce with diverse sociodemographic backgrounds during July-December 2020 in New York City. We developed standard operating procedures for infection control and safety measures, procured supplies and means of transportation, and developed protocols and algorithms to efficiently distribute workload. RESULTS: From July through December 2020, 519 CESs were trained to conduct in-person contact tracing and activities in community settings, including homes, schools, and businesses, where they disseminated educational materials, face masks, hand sanitizer, and home-based specimen collection kits. During the study period, 94 704 records of people with COVID-19 and 61 246 contacts not reached by telephone-based contact tracers were referred to CESs. CESs attempted home visits or telephone calls with 84 230 people with COVID-19 and 49 303 contacts, reaching approximately 55 592 (66%) and 35 005 (71%), respectively. Other CES activities included monitoring recently arrived travelers under quarantine, eliciting contacts at point-of-care testing sites, and advising schools on school-based COVID-19 mitigation strategies. PRACTICE IMPLICATIONS: This diverse CES workforce allowed for safe, in-person implementation of contact tracing and other prevention services for individuals and communities impacted by COVID-19. This approach prioritized equitable delivery of community-based support services and resources.

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.

Neighborhood social cohesion and viral suppression after HIV diagnosis.

Social cohesion has varying effects on health. We investigated the association of perceived neighborhood social cohesion with HIV viral suppression using individual-level data from the New York City HIV registry and surveillance-based interviews (n = 92). Suppression was achieved within 12 months of HIV diagnosis by 60 percent of persons perceiving low cohesion and 71 percent of those perceiving high (p = 0.31). Controlling for demographic and clinical characteristics and neighborhood poverty, per proportional hazards regression, cohesion was not associated with suppression (adjusted hazards ratio (95% confidence interval) for high versus low cohesion: 0.79 (0.49-1.28)). Cohesion may have heterogeneous effects on HIV medication adherence.

The usefulness of HIV partner services in the age of treatment as prevention: a registry-based study.

BACKGROUND: Partner services are effective tools to identify new cases among sex or needle-sharing partners of people with a new HIV diagnosis. Little is known about partners previously diagnosed with HIV who are not in care or are in care with unsuppressed HIV viral load. We aimed to quantify the previously diagnosed partners of people with a new HIV infection and examine their HIV care status and viral suppression in the 12 months before elicitation. METHODS: We did a registry-based study. We used the New York City HIV Surveillance Registry to determine HIV care status and viral load of partners elicited from newly diagnosed people between Jan 1, 2007, and Dec 31, 2018. Previously diagnosed partners with no report of CD4 count or viral load in the preceding 12 months were presumed not to be in care, viral load suppression (<200 copies per mL) was based on the last viral load in the year preceding elicitation, and viraemia was defined as a viral load of 200 copies per mL or more. We used multinomial logistic regression to generate covariates of care and viral load status and their marginal effects. FINDINGS: 11 964 partners were elicited; 2603 (33%) were previously diagnosed and 485 (20%) were not in care. 1153 (49%) of 2343 with a viral load report were in care and viraemic at elicitation. The odds of being not in care were higher in non-Hispanic black than non-Hispanic white or other partners (adjusted odds ratio 1·89, 95% CI 1·09-3·27) and lower in partners with male-to-male sex transmission risk (0·37, 0·26-0·51) and country of birth other than the USA (0·57, 0·39-0·85). The odds of being viraemic were higher in partners younger than 30 years than in those aged 30 years or older (1·68, 1·35-2·09) and lower among people with male-to-male sex transmission risk (0·36, 0·29-0·44) and country of birth other than the USA (0·78, 0·66-0·97). INTERPRETATION: People with HIV should receive ongoing HIV prevention counselling and partner services data should inform engagement in care for previously diagnosed partners. FUNDING: None.

Use of molecular HIV surveillance data and predictive modeling to prioritize persons for transmission-reduction interventions.

BACKGROUND: To develop a predictive model to prioritize persons with a transmissible HIV viral load for transmission-reduction interventions. METHODS: New York City (NYC) HIV molecular surveillance data from 2010 to 2013 were used to build a model to predict the probability that the partial pol gene of the virus of a person with a transmissible HIV viral load (>1500 copies/ml) would be genetically similar to that of a person with a new HIV infection (diagnosis at stage 0 or 1 according to the revised Centers for Disease Control and Prevention classification system). Data from 2013 to 2016 were then used to validate the model and compare it with five other selection strategies that can be used to prioritize persons for transmission-reduction interventions. RESULTS: A total of 10 609 persons living with HIV (PLWH) were included in the development dataset, and 8257 were included in the validation dataset. Among the six selection strategies, the predictive model had the highest area under the receiver operating characteristic curve (AUC) [0.86, 95% confidence interval (CI) 0.84--0.88], followed by the 'Young MSM' (0.79, 95% CI 0.77--0.82), 'MSM with high viral loads' (0.74, 95% CI 0.72--0.76), 'Random sample of MSM' (0.73, 95% CI 0.71--0.76), 'Persons with high viral loads' (0.56, 95% CI 0.54--0.59), and 'Random sample' (0.50, 95% CI 0.48--0.53) strategies. CONCLUSIONS: Jurisdictions should consider applying predictive modeling to prioritize persons with a transmissible viral load for transmission-reduction interventions and to evaluate its feasibility and effectiveness.

Methods to include persons living with HIV not receiving HIV care in the Medical Monitoring Project.

The Medical Monitoring Project (MMP) is an HIV surveillance system that provides national estimates of HIV-related behaviors and clinical outcomes. When first implemented, MMP excluded persons living with HIV not receiving HIV care. This analysis will describe new case-surveillance-based methods to identify and recruit persons living with HIV who are out of care and at elevated risk for mortality and ongoing HIV transmission. Stratified random samples of all persons living with HIV were selected from the National HIV Surveillance System in five public health jurisdictions from 2012-2014. Sampled persons were located and contacted through seven different data sources and five methods of contact to collect interviews and medical record abstractions. Data were weighted for non-response and case reporting delay. The modified sampling methodology yielded 1159 interviews (adjusted response rate, 44.5%) and matching medical record abstractions for 1087 (93.8%). Of persons with both interview and medical record data, 264 (24.3%) would not have been included using prior MMP methods. Significant predictors were identified for successful contact (e.g., retention in care, adjusted Odds Ratio [aOR] 5.02; 95% Confidence Interval [CI] 1.98-12.73), interview (e.g. moving out of jurisdiction, aOR 0.24; 95% CI: 0.12-0.46) and case reporting delay (e.g. rural residence, aOR 3.18; 95% CI: 2.09-4.85). Case-surveillance-based sampling resulted in a comparable response rate to existing MMP methods while providing information on an important new population. These methods have since been adopted by the nationally representative MMP surveillance system, offering a model for public health program, research and surveillance endeavors seeking inclusion of all persons living with HIV.

Ongoing Disparities in Prediagnosis Preexposure Prophylaxis Use Among Persons Recently Diagnosed With HIV in New York City, 2015-2017.

Objectives. To quantify sociodemographic disparities in prediagnosis preexposure prophylaxis (PrEP) use in persons recently diagnosed with HIV in New York City and assigned for partner services.Methods. We used partner services data from November 2015 to September 2017 from persons diagnosed with HIV in the past 12 months (n = 3739) to compare individuals with self-reported or documented pre-HIV diagnosis PrEP use ("prediagnosis PrEP users") with those having none ("never users"). We constructed a penalized likelihood regression model generating sociodemographic predictors of prediagnosis PrEP use, employing Firth's adjustment for the rare outcome.Results. We found report of prediagnosis PrEP use in 95 persons (3%). The adjusted odds ratios (AORs) of prediagnosis PrEP use were lower among non-Hispanic Blacks (AOR = 0.18; 95% confidence interval [CI] = 0.09, 0.32) and Hispanics (AOR = 0.31; 95% CI = 0.17, 0.55) than among non-Hispanic Whites, among persons aged 30 years or older (AOR = 0.45; 95% CI = 0.28, 0.72) than those younger than 30 years, among cis-women (AOR = 0.13; 95% CI = 0.02, 0.48) than cis-men, and among residents of Queens (AOR = 0.25; 95% CI = 0.10, 0.55) than those of Manhattan.Conclusions. Disparities in HIV prevention based on race/ethnicity, gender, age, and local geography may manifest themselves in differential PrEP use.

Duration Since Never in HIV Care and Immediate Blood-Draw After HIV Diagnosis are Associated with Willingness to Link to Care Following Health Department Outreach, New York City.

Late presentation to human immunodeficiency virus (HIV) care is an important concern for clinical outcomes and HIV prevention. Significant proportions of HIV-diagnosed persons are not timely linked to care following HIV diagnosis. We implemented and evaluated an intervention to link to care persons never in HIV care (NIC). Disease intervention specialists (DIS) traced persons presumed to be NIC since HIV diagnosis, offered them assistance with linkage to care, and elicited reasons for NIC. We examined the overall outcomes of the intervention and reasons for NIC. From January 2013 to December 2016, 121 persons were traced; 19% were linked to HIV care. Significantly (all P < 0.001) higher proportions of persons linked versus not linked to care were diagnosed < 1 year prior to being contacted by DIS (48% vs. 13%) or had a HIV-related laboratory test performed within 0-7 days of their diagnosis (87% vs. 33%). Among the 105 who provided reasons for NIC, most commonly reported were not believing one's HIV diagnosis (30%) and lacking medical insurance (18%). Approximately 10% had been to a hospital emergency room and 20% to a primary care physician in the past year. Health department efforts to link persons NIC for HIV care were effective with a minority of eligible persons. Persons diagnosed within 1 year or who underwent HIV-related testing within 0-7 days of diagnosis were more likely to link to care. Newly HIV-diagnosed persons should be promptly referred to undergo all diagnostic testing and assessments on the same day or within 1 week of diagnosis.

Inconsistent condom use with known HIV-positive partners among newly diagnosed HIV-positive men who have sex with men interviewed for partner services in New York City, 2014.

OBJECTIVES: Condomless anal intercourse contributes significantly to the spread of HIV among men who have sex with men (MSM). Factors related to condomless anal intercourse with known HIV-positive partners among MSM are not well understood. The authors describe factors associated with inconsistent condom use with known HIV-positive partners prior to participants' diagnosis with HIV. METHODS: New York City health department disease intervention specialists interviewed newly HIV-diagnosed MSM ages ≥13 years reporting knowingly having anal sex with HIV-positive partners between June 2013 and October 2014. Univariate and bivariate statistics were calculated, in addition to logistic regression analysis. RESULTS: Among 95 MSM interviewed, 56% were >30 years and 74% had higher than a high school education. Respondents reported a median of 2 known HIV-positive sex partners. Drug or alcohol use during last sex with their last known HIV-positive partner was reported by 53% of participants. Sixty-five per cent of participants reported inconsistent condom use with last known HIV-positive partner. Inconsistent condom use with all HIV-positive partners was higher among individuals reporting two or more known HIV-positive partners since sexual debut than among those with one (90% vs 59%, p<0.01) and among those reporting feelings of love/emotional attachment as a reason for having sex (85% vs 63%, p=0.02). In the bivariate logistic regression models for inconsistent condom use, feelings of love or emotional attachment were the only significant predictor of inconsistent condom use (OR 3.43, 95% CI 1.23 to 9.58). After adjusting for confounding, the relationship feelings of love or emotional attachment continued to be the only significant predictor of inconsistent condom use (OR 3.69, 95% CI 1.06 to 12.82). CONCLUSIONS: Surveyed MSM engaged in high-risk behaviours, including condomless anal sex and drug or alcohol use during sex with persons known to be HIV-positive. These findings can inform interventions with MSM in serodiscordant partnerships.

Preexposure Prophylaxis Monitoring in New York City: A Public Health Approach.

The scale-up of preexposure prophylaxis (PrEP) represents a paradigm shift in HIV prevention that poses unique challenges for public health programs. Monitoring of PrEP implementation at the population level is a national priority, with particular significance in New York City (NYC) given the substantial HIV burden and the prominence of PrEP in state and local Ending the Epidemic program plans. We highlight the importance of local monitoring and evaluation of PrEP implementation outcomes and describe the experience at the NYC Health Department, which includes engaging communities, triangulating a variety of data sources regarding PrEP implementation, and leveraging those data to help guide programming. In NYC, we used data from national surveillance systems and incorporated PrEP-related indicators into existing local data collection systems to help illustrate gaps in PrEP awareness and use. Ultimately, ensuring that PrEP achieves the desired impact at the population level depends on identifying disparities through appropriate and accurate measurement, and addressing them through evidence-based programs.

Where Are They Now? Assessing if Persons Returned to HIV Care Following Loss to Follow-Up by Public Health Case Workers Were Engaged in Care in Follow-Up Years.

We examined care engagement and viral suppression (VS) over a 1- to 5-year period among persons re-engaged in HIV care using retrospective cohort study and longitudinal follow-up. The population comprised five cohorts of persons re-engaged in care from 2009 to 2013. We used surveillance data [CD4 T cell count or HIV viral load (VL) RNA] to measure four outcomes 1-5 years post-care engagement. Engagement-in-care indicated persons with laboratory reports in each follow-up year. Continuous engagement or sustained engagement, respectively, included persons with ≥1 or ≥2 (separated by 90 days) CD4 or VL reports in each follow-up year. VS indicated persons living with HIV (PLWH) re-engaged in care with VL ≤200 copies/mL in any follow-up year, and we measured re-engaged PLWH who subsequently became out of care (OOC) in each follow-up year. Overall, 84-86% PLWH were engaged in care in any follow-up year. The proportions of PLWH cohorts continuously engaged in care [86% (1 year), 77% (2 years), 72% (3 years), 67% (4 years), and 63% (5 years)] declined over time. Thirty-four percent of the PLWH who were re-engaged in care were subsequently OOC in the follow-up years. Most re-engaged PLWH became OOC in their first (40%) and second (30%) follow-up years. In follow-up years (1-5 years), fewer PLWH continuously engaged in care with ≥1 CD4 or VL reports in the registry had VS ≤200 copies/mL: 65%, 58%, 49%, 44%, and 42%, respectively. Encouragingly, higher proportions had VL ≤1500 copies/mL in follow-up years (1-5): (75%, 72%, 73%, 75%, and 70%), likely reflecting levels of HIV treatment. Our results support the use of surveillance data to identify and re-engage OOC PLWH in care. However, structures and programs are needed to support retention in care and reduce repeat OOC.

Locating People Diagnosed With HIV for Public Health Action: Utility of HIV Case Surveillance and Other Data Sources.

INTRODUCTION: Human immunodeficiency virus (HIV) case surveillance and other health care databases are increasingly being used for public health action, which has the potential to optimize the health outcomes of people living with HIV (PLWH). However, often PLWH cannot be located based on the contact information available in these data sources. We assessed the accuracy of contact information for PLWH in HIV case surveillance and additional data sources and whether time since diagnosis was associated with accurate contact information in HIV case surveillance and successful contact. MATERIALS AND METHODS: The Case Surveillance-Based Sampling (CSBS) project was a pilot HIV surveillance system that selected a random population-based sample of people diagnosed with HIV from HIV case surveillance registries in 5 state and metropolitan areas. From November 2012 through June 2014, CSBS staff members attempted to locate and interview 1800 sampled people and used 22 data sources to search for contact information. RESULTS: Among 1063 contacted PLWH, HIV case surveillance data provided accurate telephone number, address, or HIV care facility information for 239 (22%), 412 (39%), and 827 (78%) sampled people, respectively. CSBS staff members used additional data sources, such as support services and commercial people-search databases, to locate and contact PLWH with insufficient contact information in HIV case surveillance. PLWH diagnosed <1 year ago were more likely to have accurate contact information in HIV case surveillance than were PLWH diagnosed ≥1 year ago ( P = .002), and the benefit from using additional data sources was greater for PLWH with more longstanding HIV infection ( P < .001). PRACTICE IMPLICATIONS: When HIV case surveillance cannot provide accurate contact information, health departments can prioritize searching additional data sources, especially for people with more longstanding HIV infection.

Disparities in Awareness of HIV Postexposure and Preexposure Prophylaxis Among Notified Partners of HIV-Positive Individuals, New York City 2015-2017.

BACKGROUND: Named sex- or needle-sharing partners of HIV-positive individuals are a priority prevention population due to their known HIV exposure. Understanding postexposure and preexposure prophylaxis (PEP and PrEP) awareness and use among them is important for successful interventions. METHODS: Data from notified partners of HIV-positive individuals (New York City, May 2015-April 2017) were analyzed to describe PEP/PrEP awareness, provider discussion, and use by sociodemographic and risk characteristics. Multivariate logistic regression was used to generate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) of partners' PEP and PrEP awareness. RESULTS: Among notified partners (n = 621), PEP and PrEP awareness were 34% and 44%, respectively; provider discussion of PEP was reported by 32% and of PrEP by 42%; PEP use was reported by 2% and PrEP use by 14%. PEP awareness was higher among men who have sex with men sex partners than among heterosexual sex partners (aOR: 4.21; 95% CI: 2.10 to 8.44). Odds of PrEP awareness were lower among black (aOR: 0.34; 95% CI: 0.15 to 0.75) and Hispanic partners (aOR: 0.37; 95% CI: 0.17 to 0.84) than among white partners, and higher among men who have sex with men than heterosexual sex partners (aOR: 4.60; 95% CI: 2.38 to 8.87). Black partners were less likely than whites to report a provider discussion of PrEP. Postnotification HIV-positive test results were significantly lower among partners reporting PEP awareness than among those who had not heard of PEP. CONCLUSIONS: Low levels of PEP/PrEP awareness and of provider PEP/PrEP discussion among notified partners, particularly blacks, Hispanics, and heterosexual sex partners, indicate the timeliness of tailored prevention messaging, provider training, and sensitization, to avoid disparities in PEP/PrEP use.