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Unmet needs can impede optimal care engagement, impacting the health and well-being of people living with HIV (PLWH); yet, whether unmet needs differ by care engagement status is not well understood. Using surveys and qualitative interviews, we examined and compared unmet needs for PLWH (n = 172) at different levels of care engagement. Unmet needs varied only slightly by care status. Survey findings revealed that provision of housing, emergency financial assistance, employment assistance, and food security were the greatest unmet need; for those in care, housing was the greatest unmet need, whereas for those sporadically in care or out of care, employment assistance was the greatest unmet needs. Qualitative interviews likewise illustrated that a lack of financial resources including insurance, housing, employment, and transportation presented barriers to care engagement across all care groups. Our findings indicate that unmet needs among PLWH are complex and multi-faceted across care engagement status.

PurposeAwareness raising campaigns have been used to promote HIV prevention messages, including the expansion of HIV testing, but initiating such campaigns de novo can be costly. Both the Bronx, New York and Washington, DC have significant local HIV epidemics and a history of efforts to scale-up HIV testing. To build on prior HIV testing campaigns and create new messages based on consultation with diverse stakeholders, a partnership with a community-based clinical trial to enhance HIV testing and treatment was established. The purpose of this paper is to describe the history of HIV testing campaigns in the two jurisdictions, the awareness raising conducted in collaboration with the HIV Prevention Trials Network (HPTN) study (HPTN 065) and provide evidence of its effect in these two communities.Design/methodology/approachThe foundation of prior campaigns allowed for expansion of social mobilization efforts to specific priority populations (gay men and other men who have sex with men), the most severely affected groups in both communities, and to expand the efforts to include clinical settings. New compelling and acceptable messages were shaped through engagement with community members and based on input from focus groups with target populations in each city.FindingsBy engaging the target population in the development of new messaging, HPTN 065 study successfully built on campaigns that were already underway in both jurisdictions and was able to use those messages and platforms to further normalize HIV testing.Practical implicationsModifying and adapting existing messages saved time and resources, which can be important factors to consider in settings with limited resources or high media purchasing costs.Originality/valueEfforts of this kind may ultimately help to decrease HIV transmission in large urban settings.

BACKGROUND Repeat sexually transmitted infections (STIs) in DC primarily results from untreated sexual partners. This analysis aims to identify high-risk areas and temporal trends of repeat STIs for pre-exposure prophylaxis scale-up and STI mitigation in DC. METHODS We identified repeat infections in the DC Department of Health STI and HIV data management systems, diagnosed from 2014 to 2018. The cases were geocoded and aggregated by census tracts. Poisson discrete scan statistic was implemented in SaTScan software to find clusters. Weighted moving average was used to compare temporal trends of repeat STIs. We used χ analysis to identify association with demographic variables. RESULTS We identified 8535 repeat STIs from 2014 to 2018. Of these, 61.84% were among men, most cases were among blacks (34.75%) and 47.45% represented gonorrhea cases. The high-risk spatial clusters were identified as those tracts that had relative risk (relative risk > 1; P-value < 0.001). We identified one significant radius of risk covering tracts of wards 7 and 8 and parts of wards 5 and 6. We spotted positive temporal trends in cluster 1 and outside the cluster. We found significant associations of repeat STIs with gender (χ = 317.27, P < 0.001), age (χ = 539.26, P < 0.001), HIV coinfections (χ = 352.06, P < 0.001), and year of diagnoses (χ = 1.5, P < 0.01). CONCLUSIONS Our findings indicate spatial disparities in DC for repeat STIs. This analysis is critical for pre-exposure prophylaxis planning, STI prevention strategies such as expedited partner therapies and condom distribution strategies in DC should prioritize the high-risk spatial cores.

Elimination of chronic hepatitis C (HCV) will require scaling up treatment, including possible HCV treatment by primary care providers. The District of Columbia (DC) has a substantial population living with untreated hepatitis C, and treatment expansion would benefit the resident population. The aim of this study was to assess the knowledge, attitudes, and behaviors of primary care providers and specialists related to hepatitis C screening and treatment. We conducted a prospective, online survey of physicians and nurse practitioners (n = 153) in DC on their knowledge, attitudes, and behaviors related to hepatitis C screening and treatment, as well as referral patterns, interest in learning, and preferred learning modalities. We compared responses by provider type. Key findings indicated that HCV screening and treatment knowledge was higher among specialty physicians as compared to primary care providers. The most common reported facilitators of HCV screening included a prompt in the electronic medical record (63%), patient education (57%), and support staff (41%). While 71% reported that HCV treatment was important in the community they serve, only 26% indicated that access to HCV specialist expertise and consultation was a major area of need. Additionally, 59% reported that they refer all HCV patients to specialists for treatment. Primary care providers in DC had moderate interest in learning how to treat chronic hepatitis C, but they need additional training. Patients are typically referred to gastroenterology, infectious diseases, and hepatology specialists who may have limited capacity to expand treatment.

Re-engaging people living with HIV (PLWH) who are out of care (OOC) is of utmost importance to ending the HIV epidemic in the U.S. We used DC Department of Health (DCDOH) HIV surveillance data to determine whether re-engaging PLWH results in improved long-term clinical outcomes. PLWH identified as OOC for 6-12 months at both the clinic-level and using DCDOH data were targeted for re-engagement efforts through Recapture Blitz (RB). Uni- and bivariate analyses were conducted comparing engagement in care (EIC), CD4 counts, and viral suppression (VS) at 6, 12, and 18-months post-re-engagement between persons re-engaged through RB and those not re-engaged via RB. Of the 569 PLWH contacted; 57 were re-engaged through RB, 46 were not but may have reengaged on their own. Compared to those not re-engaged via RB, at 18-months of follow-up, more PLWH re-engaged through RB were EIC (71.9% vs. 56.5%) and VS (52.6% vs. 30.4%). Higher proportions of PLWH re-engaged through RB were virally suppressed at 6, 12, and 18-months (

Introduction Prior studies found renal disease was common among HIV-infected outpatients. We updated incident renal disease estimates in this population, comparing those with and without tenofovir exposure. Methods We conducted a retrospective analysis of the DC Cohort, a longitudinal study of HIV patients in Washington, DC, from 2011 to 2015. We included adults prescribed antiretroviral therapy (ART) with baseline glomerular filtration rate (GFR) ≥15 ml/min per 1.73 m2. We defined renal disease as 50% decrease in GFR or doubled serum creatinine (Cr) within 3 months. We defined cumulative viral load as area under the curve (AUC) of log10 transformed longitudinal HIV RNA viral load (VL). Correlates of time to incident renal disease were identified using Cox proportional hazard regression models, adjusted for demographics and known risk factors for kidney disease. Results Among 6068 adults, 77% were Black and median age was 48 years. Incident renal disease rate was 0.77 per 100 person-years (95% confidence interval [CI]: 0.65–0.9). Factors associated with renal disease were age (adjusted hazard ratio [aHR]: 1.4; CI 1.1–1.7 per 10 years), public non-Medicaid, non-Medicare insurance (aHR: 3.4; CI: 1.9–6.4), AUC VL (aHR: 1.1; CI: 1.1–1.2), diabetes mellitus (aHR: 1.6; CI: 1.0–2.4), and mildly reduced GFR (60–89 ml/min per 1.73 m2) (aHR: 1.5; CI: 1.0–2.3); recent tenofovir exposure was not associated with renal disease (aHR: 0.7; CI: 0.5–1.1). Conclusion Our study revealed a substantial burden of renal disease among HIV patients. Cumulative VL was associated with renal disease, suggesting that early VL suppression may decrease its incidence., Graphical abstract

Stigma has negatively influenced the lives of people living with HIV since the beginning of the epidemic. It affects every facet of their lives and can cause mental health problems, loss of human rights, and barriers to care. Studies in developing countries have shown a high prevalence of HIV stigma among health care workers. Few studies have been conducted in the United States. We used a validated instrument to survey 330 health care workers in Washington, DC, a high HIV prevalence area. The goal was to obtain data to assess the severity of the problem. We found that stigmatizing beliefs and attitudes were prevalent as reflected in responses from 66% of the participants. Of clinicians surveyed, 31% reported using double gloves. Participants with stigma training had lower stigma levels, whereas older individuals and support staff were more stigmatizing. Negative attitudes affect access to care and have major public health implications.

Provision of HIV prevention services by primary care (PCP) healthcare providers is critical to reduce the number of new HIV infections. We examined the performance of HIV risk assessments and provision of HIV prevention services by PCPs. In our cohort, less than one-half of respondents asked about sex and drug use all or most of the time, and among those that did not routinely ask about sex and drug use only 66% and 59%, respectively, would ask given more time. Less than a quarter of respondents noted that HIV prevention services were part of their clinical practice. These findings demonstrate gaps in the provision of HIV prevention services by a key population of healthcare providers.

Molecular epidemiology (ME) is one tool used to end the HIV epidemic in the United States. We combined clinical and behavioral data with HIV sequence data to identify any overlap in clusters generated from different sequence datasets; to characterize HIV transmission clusters; and to identify correlates of clustering among people living with HIV (PLWH) in Washington, District of Columbia (DC). First, Sanger sequences from DC Cohort participants, a longitudinal HIV study, were combined with next-generation sequences (NGS) from participants in a ME substudy to identify clusters. Next, demographic and self-reported behavioral data from ME substudy participants were used to identify risks of secondary transmission. Finally, we combined NGS from ME substudy participants with Sanger sequences in the DC Molecular HIV Surveillance database to identify clusters. Cluster analyses used HIV-Transmission Cluster Engine to identify linked pairs of sequences (defined as distance ≤1.5%). Twenty-eight clusters of ≥3 sequences (size range: 3–12) representing 108 (3%) participants were identified. None of the five largest clusters (size range: 5–12) included newly diagnosed PLWH. Thirty-four percent of ME substudy participants (n = 213) reported condomless sex during their last sexual encounter and 14% reported a Syphilis diagnosis in the past year. Seven transmission clusters (size range: 2–19) were identified in the final analysis, each containing at least one ME substudy participant. Substudy participants in clusters from the third analysis were present in clusters from the first analysis. Combining HIV sequence, clinical and behavioral data provided insights into HIV transmission that may not be identified using traditional epidemiological methods alone. Specifically, the sexual risk behaviors and STI diagnoses reported in the substudy survey may not have been disclosed during Partner Services activities and the survey data complemented clinical data to fully characterize transmission clusters. These findings can be used to enhance local efforts to interrupt transmission and avert new infections.

Background Mode of transmission–based hotspots is a smart approach to HIV mitigation, yet remains poorly evaluated and implemented in the United States. The primary aim was to identifying mode of transmission–based hotspots and populations at risk of lower viral suppression to assist in targeted planning and implementation of programs. Methods We implemented spatial statistics to identify global-local hotspots and regression analysis to find populations at risk of lower viral suppression within hotspots. Data were obtained from the District of Columbia’s (DC’s) active surveillance system, which were geocoded based on current residence address. Results The analysis identified 6001 HIV-positive men who have sex with men (MSM) and 6077 HIV-positive non-MSM (N = 12 078) living in DC at the end of 2018. The hotspots for MSM were central DC and non-MSM in south DC. Trends of viral suppression within MSM hotspots showed plateauing and, among non-MSM, showed decline. Regression analysis showed MSM aged 21–25 (RR: 3.199; 95% CI: 1.832–5.586) and not linked to care (8.592; 2.907–25.398) were at higher risk of being virally unsuppressed within the hotspots. For non-MSM we found those aged 12–18 (9.025; 3.314–2.581) and with unknown linkages (6.087; 3.346–13.848) were at higher risk of being virally unsuppressed within the hotspots. Conclusions Our analysis provides a model that may be used by other jurisdictions to identify areas of priority and plan treatment-adherence programs using surveillance data. Attaining viral suppression is crucial in reducing new diagnoses; a spatial approach can be an important tool in Ending the HIV Epidemic.

Background HIV cohort studies have been used to assess health outcomes and inform the care and treatment of people living with HIV disease. However, there may be similarities and differences between cohort participants and the general population from which they are drawn. Objective The objective of this analysis was to compare people living with HIV who have and have not been enrolled in the DC Cohort study and assess whether participants are a representative citywide sample of people living with HIV in the District of Columbia (DC). Methods Data from the DC Health (DCDOH) HIV surveillance system and the DC Cohort study were matched to identify people living with HIV who were DC residents and had consented for the study by the end of 2016. Analysis was performed to identify differences between DC Cohort and noncohort participants by demographics and comorbid conditions. HIV disease stage, receipt of care, and viral suppression were evaluated. Adjusted logistic regression assessed correlates of health outcomes between the two groups. Results There were 12,964 known people living with HIV in DC at the end of 2016, of which 40.1% were DC Cohort participants. Compared with nonparticipants, participants were less likely to be male (68.0% vs 74.9%, P Conclusions These data have important implications when assessing the representativeness of patients enrolled in clinic-based cohorts compared with the DC-area general HIV population. As participants continue to enroll in the DC Cohort study, ongoing assessment of representativeness will be required.

Background Research suggests that human immunodeficiency virus (HIV)–positive individuals with a sexually transmitted infection (STI) may be at increased risk of transmitting HIV to someone else through unprotected sex. The primary aim of the analysis is to identify the high-risk geographic areas of transmission of coinfections and factors that may be associated with poor outcomes of viral suppression within these higher-risk geographic areas, thus important in transmission prevention. Methods We used surveillance data reported by all providers and laboratories in the District of Columbia (DC). Applied discrete Poisson scan model in SaTScan to identify the geographic areas. The relative risk (RR) for the scan statistic was calculated based on events inside the cluster, and P values evaluated statistical significance. We used multinomial logistical regression to explore care and demographical characteristics associated with being virally unsuppressed within and outside the geographic areas. Results The coinfected areas (RR, >1; P < .001) were located in the tracts of central and southern DC. Black population (RR, 3.154 [95% confidence interval {CI}, 1.736–5.729]), age 13–19 years (RR, 4.598 [95% CI, 3.176–6.657]), repeat STIs (RR, 1.387 [95% CI, 1.096–1.754]), and not retained in care (RR, 2.546 [95% CI, 1.997–3.245]) were found to be at higher risk of being virally unsuppressed within the coinfected clusters. Those with unknown linkages were found to be at higher risk of being virally unsuppressed outside the coinfected clusters (RR, 5.162 [95% CI, 2.289–11.640]). Conclusions This is DC’s first effort to identify the geographic core areas of coinfections and factors that may be sustaining them. These results will be used by the health department to plan for prevention-intervention strategies. This model be replicated by any local jurisdiction similar.

Introduction Despite the effectiveness of oral pre-exposure prophylaxis (PrEP) for HIV prevention, knowledge, and uptake of this new prevention intervention over time has not been fully studied. Using NHBS data from 2 urban areas highly impacted by HIV, we examined awareness, use, and willingness to use daily oral PrEP and factors associated with willingness to take oral PrEP among men who have sex with men (MSM) over time. Methods MSM from Washington, DC and Miami, FL were recruited in 2011 and 2014 using venue-based sampling. Participants completed behavioral surveys and HIV testing. Awareness, use, and willingness to use oral PrEP were examined. Demographic and behavioral correlates of being "very likely" to use PrEP in 2011 and 2014 were assessed. Results PrEP awareness increased from 2011 to 2014 in both cities (DC: 39.1%-73.8% and Miami: 19.4%-41.2%), but use remained low in 2014 (DC: 7.7%; Miami: 1.4%). Being very likely to use PrEP decreased over time in DC (61%-48%), but increased in Miami (48%-60%). In DC, minority race was associated with increased odds of being very likely to use PrEP, whereas reduced odds of being very likely to use PrEP was observed for MSM with 1 or 2-5 partners versus having 6+ partners. In Miami, a higher proportion of white versus Hispanic MSM reported being very likely to use PrEP in 2011, but this observation was reversed in 2014. Conclusion Geographic differences in awareness, use, and willingness to use PrEP indicate that innovative strategies are needed to educate MSM about this effective prevention strategy.

BACKGROUND HIV cohort studies have been used to assess health outcomes and inform the care and treatment of people living with HIV disease. However, there may be similarities and differences between cohort participants and the general population from which they are drawn. OBJECTIVE The objective of this analysis was to compare people living with HIV who have and have not been enrolled in the DC Cohort study and assess whether participants are a representative citywide sample of people living with HIV in the District of Columbia (DC). METHODS Data from the DC Health (DCDOH) HIV surveillance system and the DC Cohort study were matched to identify people living with HIV who were DC residents and had consented for the study by the end of 2016. Analysis was performed to identify differences between DC Cohort and noncohort participants by demographics and comorbid conditions. HIV disease stage, receipt of care, and viral suppression were evaluated. Adjusted logistic regression assessed correlates of health outcomes between the two groups. RESULTS There were 12,964 known people living with HIV in DC at the end of 2016, of which 40.1% were DC Cohort participants. Compared with nonparticipants, participants were less likely to be male (68.0% vs 74.9%, PPPPPP CONCLUSIONS These data have important implications when assessing the representativeness of patients enrolled in clinic-based cohorts compared with the DC-area general HIV population. As participants continue to enroll in the DC Cohort study, ongoing assessment of representativeness will be required.

To address high HIV prevalence, the District of Columbia (DC) Department of Health has implemented multiple strategies to increase routine HIV testing since 2006. Examination of delayed HIV diagnosis over time can demonstrate population-level impact of public health strategies to promote HIV testing. Using HIV surveillance data, we examined delayed HIV diagnosis in DC (stage 3 within 90 days of diagnosis), CD4 count at HIV diagnosis, linkage to HIV care, and time to viral suppression among DC residents age 13 and above who were diagnosed from 2006 to 2016. We used the Cochran-Armitage test of trend, Cuzick's test of trend, and Chi-square for univariate analyses, and we examined factors associated with delayed HIV diagnosis using a log-binomial multivariate model. 7,937 DC residents were diagnosed with HIV and had available data. Between 2006 and 2016, delayed HIV diagnoses declined from 36.4% to 25.5%, median CD4 count increased from 190 cells/µl to 426 cells/µl, and median time from HIV diagnosis to viral suppression declined from 1,136 days to 84 days. Women, youth ages 13-29, and men who have sex with men had lower proportions with delayed HIV diagnosis. In the multivariate models, racial/ethnic disparities in delayed HIV diagnoses were apparent during 2006-2008 but not during 2009-2016. Continued efforts around earlier HIV testing are needed in DC.

Introduction Social network strategies have been used by health departments to identify undiagnosed cases of HIV. Heterosexual cycle (HET4) of National HIV Behavioral Surveillance (NHBS) is a social network strategy implemented in jurisdictions. The main objectives of this research are to 1) evaluate the utility of the NHBS HET cycle data for network analysis; 2) to apply statistical analysis in support of previous HIV research, as well as to develop new research results focused on demographic variables and prevention/intervention with respect to heterosexual HIV risk; and 3) to employ NHBS data to inform policy with respect to the EHE plan. Method We used data from the 2016 NHBS HET4 (DC). A total of 747 surveys were collected. We used the free social-network analysis package, GEPHI, for all network visualization using adjacency matrix representation. We additionally conducted logistic regression analysis to examine the association of selected variables with HIV status in three models representing 1) demographic and economic effects, 2) behavioral effects, and 3) prevention-intervention effects. Results The results showed 3% were tested positive. Seed 1 initiated the largest networks with 426 nodes (15 positives); seed 4 with 273 nodes (6 positives). Seed 3 had 35 nodes (2 positives). All 23 HIV diagnoses were recruited from 4 zip-codes across DC. The risk of testing positive was higher among people high-school dropouts (Relative Risk (RR) (25.645); 95 CI% 5.699, 115.987), unemployed ((4.267); 1.295, 14.064), returning citizens ((14.319); 4.593, 44.645). We also found in the final model higher association of pre-exposure prophylaxis (PrEP) awareness among those tested negative ((4.783); 1.042, 21.944) and HIV intervention in the past 12 months with those tested positive ((17.887); 2.350,136.135). Conclusion The network visualization was used to address the primary aim of the analysis-evaluate the success of the implementation of the NHBS as a social network strategy to find new diagnoses. NHBS remains one of the strongest behavioral supplements for DC’s HIV planning activities. As part of the evaluation process our analysis helps to understand the impact of demographic, behavioral, and prevention efforts on peoples’ HIV status. We strongly recommend other jurisdictions use network visualizations to evaluate the efficacy in reaching hidden populations.

Use of pre-exposure prophylaxis (PrEP) among people who inject drugs (PWID) has been shown to be effective in preventing HIV transmission. We examined correlates of the willingness to use PrEP among community-recruited older PWID in Washington, DC.PWID were recruited using respondent-driven sampling (RDS) and completed a behavioral interview for the National HIV Behavioral Surveillance system in 2012. Participants reported on willingness to use PrEP and how it might affect their drug use and sexual behaviors. We reported RDS-weighted proportions and multivariable correlates of being willing to use PrEP.Among 304 participants, 69% were male, and the majority was aged ≥50 and black. Only 13.4% had ever heard of using anti-HIV medication to prevent HIV; none had ever used PrEP or knew anyone who used it in the past year. Forty-seven percent were very likely and 24% were somewhat likely to take PrEP if it were available without cost; 13% agreed they would not need to sterilize/clean needles or use condoms if taking PrEP. Correlates of being very likely to use PrEP included being younger (50years), sharing cookers, cotton or water in the past year, and believing they would no longer need to use clean needles.Nearly half of PWID reported being very willing to use PrEP if it were available without cost. Younger PWID and those at higher risk of sharing cookers, cotton or water were more willing to use PrEP, suggesting a focus on these groups to explore PrEP use among PWID.

Objective The study was conducted to inform area-based prevention intervention programs and plan resource allocation to reduce new infections in the District of Columbia (DC), United States of America. Study design The analysis used spatial regression to evaluate the spatial heterogeneity of the new HIV rate and its association with sexually transmitted infection repeaters (STIREPs) and socio-economic as well as demographic characteristics. The HIV and STIREP data were obtained from the DC Department of Health surveillance data (2010–2016). Other covariates were obtained from the American Community Survey, 2016. Methods Ordinary least squares (OLS) and geographically weighted regression (GWR) were used to compare global and local relationships. GWR-computed robust results were compared with other spatial regression methods such as spatial lag or spatial error methods. Results For the OLS model, age, high school dropouts (NHSD), and the black population had an association with new HIV diagnoses (HIVDVi). The results from the GWR model demonstrate spatial variations of association of STIREPs; mean age of each block group; and percentage of female population, NHSD, unemployment, and poverty with HIVDVi. Akaike information criterion (AICc) value for the global model was 2770.99, and R2 was 0.54 (54%). The R2 and AICc of the GWR model was 0.81 (81%) and 2580.84, respectively, where the latter showed a 0.27 (27%) increase in R2 and a decreased AICc. Conclusion These results will assist in planning HIV prevention and intervention strategies. These results will also be used for targeted testing, planning pre-exposure prophylaxis, and access to health care. The results will help plan resource allocation to community-based providers for prevention intervention programs and fund public health programs such as condom distribution, mobile vans, and youth-based sex education.

Introduction Preexposure prophylaxis (PrEP) is a promising approach to reducing HIV incidence. So, garnering the support of HIV providers, who are most familiar with antiretrovirals and likely to encounter patients in HIV serodiscordant relationships, to scale-up PrEP implementation is essential. We sought to determine whether certain subgroups of HIV providers were more likely to intend to prescribe PrEP. Methods Surveys were administered to HIV providers in Miami, Florida and Washington, District of Columbia. Composite scores were developed to measure PrEP knowledge, experience, and likelihood of prescribing. Latent class analysis was used to stratify provider attitudes toward PrEP. Results Among 142 HIV providers, 73.2% had cared for more than 20 HIV-infected patients in the previous 3 months; 17% had ever prescribed PrEP. Latent class analysis identified 2 classes of providers (entropy, 0.904); class 1 (n = 95) found PrEP less effective and perceived barriers to prescribing it; class 2 (n = 47) perceived PrEP as moderately effective and perceived fewer barriers to prescribing it. Compared with class 2, class 1 had significantly less experience with PrEP delivery (t(22.7) = 2.88, P = 0.009) and was significantly less likely to intend to prescribe to patients with multiple sex partners (20% vs. 43%, P = 0.04) and those with a drug use history (7% vs. 24%, P = 0.001). Conclusions Although most HIV providers found PrEP to be effective, those considering it less effective had limited knowledge and experience with PrEP and had lesser intentions to prescribe. Provider training regarding whom should receive PrEP and addressing potential barriers to PrEP provision are needed if this HIV prevention method is to be optimized.

Background People with HIV infection in the United States are often affected by chronic viral hepatitis. These coinfected people with either HBV or HCV are at increased risk for serious, life-threatening complications. Coinfections with viral hepatitis may also complicate the delivery of anti-retroviral therapy (ART) by escalating the risk of drug-related hepatoxicity. According to the Centers for Disease Control and Prevention (CDC), approximately 10 percent of people with HIV in the United States also have HBV, and 25 percent also have HCV coinfection. With the advent of highly active antiretroviral therapy (HAART) and the increased life-expectancy of HIV patients, clinicians are more likely to be confronted with issues related to co-infection and the management challenges that they present, especially in resource-limited settings. The purpose of this analysis was to identify geographical clusters of HIV- (HBV/HCV) co-infection and compared to the geographical clusters of not co-infected using DC, Department of Health surveillance data. The results of the analysis will be used to target resources to areas at risk. Methods HIV and Hepatitis surveillance data were matched among cases diagnosed between 1980 and 2016. HIV-hepatitis co-infected and the not co-infected spatial clusters were detected using discrete Poisson model. Kulldorff’s spatial scan statistic method was implemented in the free software tool called SaTScan which has been widely adopted for detecting disease cluster. The analysis was conducted by tracts, but for visualization, ease of interpretation and assist in policy making the tract map was overlaid with the ward map using ArcGIS 10.5.1. Results Between 1980 and 2016, there were 12,965 diagnosed cases of HIV, of which 2,316 HIV/Hepatitis matches were identified. Of the 2316 co-infected people living in DC, 25 percent (N = 590) of people had HBV, and 75 percent (N = 1,726) had HCV. Out of 12,965 diagnosed cases, remaining 10,649 did not have any co-infections (not co-infected). IDU (27.16 percent) and MSM (32.86 percent) were the highest mode of transmission for co-infected population. African-American were reported 83.64 percent (N = 1,937) among co-infection population. Three clusters were identified for both co-infected population in DC. The largest cluster radius for co-infected analysis covers wards 6, 7 and 8 as well as large parts of 2 and 5 (p < 0.001). Multiple clusters were identified for not co-infected population (p < 0.001). IDU (n = 450) was the highest mode of transmission for the co-infected clusters. For all clusters combined of not co-infected population highest mode of transmission were MSM (n = 2,534). This analysis also showed racial disparity, economic deprivation and lack of education were prominent in the co-infected clusters. Conclusion We identified locations of high risk clusters where enhanced hepatitis and HIV prevention, treatment, and care can help combat the epidemic. The clusters radius expands into the neighboring state of Maryland as well. The findings from this analysis will be used to target area based public health policy and healthcare interventions for HIV-hepatitis. It is recommended based on the analysis that needle exchange programs can successfully control new HIV infections as well as hepatitis co-infections.

Background Concurrent with the UNAIDS 90-90-90 and NHAS plans, the District of Columbia (DC) launched its 90/90/90/50 plan (Plan) in 2015. The Plan proposes that by 2020, 90% of all DC residents will know their HIV status; 90% of residents living with HIV will be in sustained treatment; 90% of those in treatment will reach “Viral Suppression” and DC will achieve 50% reduction of new HIV cases. To achieve these goals targeted prevention strategies are imperative for areas where the relative risk (RR) of not being linked to care (NL), not retained in any care (NRC) and low viral suppression (NVSP) are highest in the District. These outcomes are denoted in this study as poor outcomes of HIV care continuum. This study applies the Bayesian model for RR for area specific random effects to identify the census tracts with poor HIV care continuum outcomes for DC. Methods This analysis was conducted using cases diagnosed from 2010 to 2015 and reported to the surveillance system from the District of Columbia Department of Health (DC DOH), HIV/AIDS, Hepatitis, STD and TB Administration. The jurisdictions of the District of Columbia is divided into 179 census tracts. It is challenging to plot sparse data in ‘small’ local administrative areas, characteristically which may have a single-count datum for each geographic area. Bayesian methods overcome this problem by assimilating prior information to the underlying RR, making the predicted RR estimates robust. Results The RR of NL is higher in 59 (33%) out of 179 census tracts in DC. The RR of NRC was high in 46 (26%) of the census tracts while 52 census tracts (29%) show a high risk of having NVSP among its residents. This study also identifies clear correlated heterogeneity or clustering is evident in the northern tracts of the district. Conclusion The study finds census tracts with higher RR of poor linkage to care outcomes in the District. These results will inform the Plan which aims to increase targeted testing leading to early initiation of antiretroviral therapy. The uniqueness of this study lies in its translational scope where surveillance data can be used to inform local public health programs and enhance the quality of health for the people with HIV. Electronic supplementary material The online version of this article (10.1186/s12981-018-0189-8) contains supplementary material, which is available to authorized users.

BACKGROUND Triangulation of data from multiple sources such as clinical cohort and surveillance data can help improve our ability to describe care patterns, service utilization, comorbidities, and ultimately measure and monitor clinical outcomes among persons living with HIV infection. OBJECTIVES The objective of this study was to determine whether linkage of clinical cohort data and routinely collected HIV surveillance data would enhance the completeness and accuracy of each database and improve the understanding of care patterns and clinical outcomes. METHODS We linked data from the District of Columbia (DC) Cohort, a large HIV observational clinical cohort, with Washington, DC, Department of Health (DOH) surveillance data between January 2011 and June 2015. We determined percent concordance between select variables in the pre- and postlinked databases using kappa test statistics. We compared retention in care (RIC), viral suppression (VS), sexually transmitted diseases (STDs), and non-HIV comorbid conditions (eg, hypertension) and compared HIV clinic visit patterns determined using the prelinked database (DC Cohort) versus the postlinked database (DC Cohort + DOH) using chi-square testing. Additionally, we compared sociodemographic characteristics, RIC, and VS among participants receiving HIV care at ≥3 sites versus RESULTS Of the 6054 DC Cohort participants, 5521 (91.19%) were included in the postlinked database and enrolled at a single DC Cohort site. The majority of the participants was male, black, and had men who have sex with men (MSM) as their HIV risk factor. In the postlinked database, 619 STD diagnoses previously unknown to the DC Cohort were identified. Additionally, the proportion of participants with RIC was higher compared with the prelinked database (59.83%, 2678/4476 vs 64.95%, 2907/4476; P CONCLUSIONS Linking surveillance and clinical data resulted in the improved completeness of each database and a larger volume of available data to evaluate HIV outcomes, allowing for refinement of HIV care continuum estimates. The postlinked database also highlighted important differences between participants who sought HIV care at multiple clinical sites. Our findings suggest that combined datasets can enhance evaluation of HIV-related outcomes across an entire metropolitan area. Future research will evaluate how to best utilize this information to improve outcomes in addition to monitoring them.

Achieving linkage to care and viral suppression in human immunodeficiency virus (HIV)-positive patients improves their well-being and prevents new infections. Current gaps in the HIV care continuum substantially limit such benefits.To evaluate the effectiveness of financial incentives on linkage to care and viral suppression in HIV-positive patients.A large community-based clinical trial that randomized 37 HIV test and 39 HIV care sites in the Bronx, New York, and Washington, DC, to financial incentives or standard of care.Participants at financial incentive test sites who had positive test results for HIV received coupons redeemable for $125 cash-equivalent gift cards upon linkage to care. HIV-positive patients receiving antiretroviral therapy at financial incentive care sites received $70 gift cards quarterly, if virally suppressed.Linkage to care: proportion of HIV-positive persons at the test site who linked to care within 3 months, as indicated by CD4+ and/or viral load test results done at a care site. Viral suppression: proportion of established patients at HIV care sites with suppressed viral load (400 copies/mL), assessed at each calendar quarter. Outcomes assessed through laboratory test results reported to the National HIV Surveillance System.A total of 1061 coupons were dispensed for linkage to care at 18 financial incentive test sites and 39 359 gift cards were dispensed to 9641 HIV-positive patients eligible for gift cards at 17 financial incentive care sites. Financial incentives did not increase linkage to care (adjusted odds ratio, 1.10; 95% CI, 0.73-1.67; P = .65). However, financial incentives significantly increased viral suppression. The overall proportion of patients with viral suppression was 3.8% higher (95% CI, 0.7%-6.8%; P = .01) at financial incentive sites compared with standard of care sites. Among patients not previously consistently virally suppressed, the proportion virally suppressed was 4.9% higher (95% CI, 1.4%-8.5%; P = .007) at financial incentive sites. In addition, continuity in care was 8.7% higher (95% CI, 4.2%-13.2%; P .001) at financial incentive sites.Financial incentives, as used in this study (HPTN 065), significantly increased viral suppression and regular clinic attendance among HIV-positive patients in care. No effect was noted on linkage to care. Financial incentives offer promise for improving adherence to treatment and viral suppression among HIV-positive patients.clinicaltrials.gov Identifier: NCT01152918.

BACKGROUND We developed an HIV testing dashboard to complement the HIV care continuum in selected high-risk populations. Using National HIV Behavioral Surveillance (NHBS) data, we examined trends in HIV testing and care for men who have sex with men (MSM), persons who inject drugs (PWID), and heterosexuals at elevated risk (HET). METHODS Between 2007 and 2015, 4792 participants ≥18 years old completed a behavioral survey and were offered HIV testing. For the testing dashboard, proportions ever tested, tested in the past year, testing HIV-positive, and newly testing positive were calculated. An abbreviated care continuum for self-reported positive (SRP) persons included ever engagement in care, past year care, and current antiretroviral (ARV) use. The testing dashboard and care continuum were calculated separately for each population. Chi-square test for trend was used to assess significant trends over time. RESULTS Among MSM, lifetime HIV testing and prevalence significantly increased from 96% to 98% (P = 0.01) and 14%-20% (P = 0.02) over time; prevalence was highest among black MSM at all time points. HIV prevalence among female persons who inject drugs was significantly higher in 2015 vs. 2009 (27% and 13%; P < 0.01). Among heterosexuals at elevated risk from 2010 to 2013, annual testing increased significantly (45%-73%; P < 0.001) and the proportion newly diagnosed decreased significantly (P < 0.01). Self-reported positive MSM had high levels of care engagement and antiretroviral use; among self-reported positive persons who inject drugs and heterosexuals at elevated risk, past year care engagement and antiretroviral use increased over time. CONCLUSIONS The HIV testing dashboard can be used to complement the HIV care continuum to display improvements and disparities in HIV testing and care over time.

Introduction:In 2005, the Centers for Disease Control and Prevention expanded its recommendation of postexposure prophylaxis (PEP) use in the workplace to include nonoccupational exposures (nPEP). The availability and extensive use of nPEP have not achieved widespread acceptance among health-care pr

PURPOSE: Among young men who have sex with men (YMSM), ages 13 – 24 years, blacks/African Americans and Hispanics/Latinos are disproportionately affected by HIV, accounting for 58% and 21%, respectively, of diagnoses of HIV infection in the United States (US). In the District of Columbia (DC), YMSM of color are also disproportionately affected by HIV. National goals are that 80% of HIV-infected persons be retained in HIV care. We analyzed DC surveillance data to examine retention among YMSM living with HIV infection in DC. METHODS: We characterized correlates of retention in HIV care (≥ 2 clinical visits, ≥ 3 months apart, within 12 months of diagnosis) among YMSM in DC to inform and strengthen local HIV-care efforts. We analyzed data from DC’s HIV surveillance system for YMSM ages 13–29 years diagnosed between 2005 and 2012 and alive in 2013. We also combined demographic and clinical variables with sociodemographic data from the US American Community Survey (ACS) by census tracts. RESULTS: From 2005 – 2012, 1034 YMSM were diagnosed and living with HIV infection in DC; 83% were black or Latino. Of the 1034 YMSM, 910 (88%) had census tract data available and were included in analyses (72% black, 10% Latino, and 17% white); among the 854 (94%) linked to care, 376 (44%) were retained in continuous care. In multivariate analyses, retention in care was less likely among 19 – 24 year YMSM compared with 13 – 18-year-old YMSM (aPR = 0.89, 95% CI 0.80–0.99). CONCLUSION: Retention in HIV care was suboptimal for YMSM. Increased retention efforts are warranted to improve outcomes and reduce age and racial/ethnic disparities.

Objectives Clinical trials are currently investigating the safety and efficacy of long-acting injectable (LAI) agents as HIV pre-exposure prophylaxis (PrEP). Using National HIV Behavioral Surveillance data, we assessed the self-reported willingness of men who have sex with men (MSM) to use LAI PrEP and their preference for LAI versus daily oral PrEP. Methods In 2014, venue-based sampling was used to recruit MSM aged ≥18 years in Washington, DC. Participants completed an interviewer-administered survey followed by voluntary HIV testing. This analysis included MSM who self-reported negative/unknown HIV status at study entry. Correlates of being “very likely” to use LAI PrEP and preferring it to daily oral PrEP were identified using multivariable logistic regression. Results Of 314 participants who self-reported negative/unknown HIV status, 50% were

One goal of the HIV care continuum is achieving viral suppression (VS), yet disparities in suppression exist among subpopulations of HIV-infected persons. We sought to identify disparities in both the ability to achieve and sustain VS among an urban cohort of HIV-infected persons in care. Data from HIV-infected persons enrolled at the 13 DC Cohort study clinical sites between January 2011 and June 2014 were analyzed. Univariate and multivariate logistic regression were conducted to identify factors associated with achieving VS (viral load 200 copies/ml) at least once, and Kaplan-Meier (KM) curves and Cox proportional hazards models were used to identify factors associated with sustaining VS and time to virologic failure (VL ≥ 200 copies/ml after achievement of VS). Among the 4311 participants, 95.4% were either virally suppressed at study enrollment or able to achieve VS during the follow-up period. In multivariate analyses, achieving VS was significantly associated with age (aOR: 1.04; 95%CI: 1.03-1.06 per five-year increase) and having a higher CD4 (aOR: 1.05, 95% CI 1.04-1.06 per 100 cells/mm(3)). Patients infected through perinatal transmission were less likely to achieve VS compared to MSM patients (aOR: 0.63, 95% CI 0.51-0.79). Once achieved, most participants (74.4%) sustained VS during follow-up. Blacks and perinatally infected persons were less likely to have sustained VS in KM survival analysis (log rank chi-square p ≤ .001 for both) compared to other races and risk groups. Earlier time to failure was observed among females, Blacks, publically insured, perinatally infected, those with longer standing HIV infection, and those with diagnoses of mental health issues or depression. Among this HIV-infected cohort, most people achieved and maintained VS; however, disparities exist with regard to patient age, race, HIV transmission risk, and co-morbid conditions. Identifying populations with disparate outcomes allows for appropriate targeting of resources to improve outcomes along the care continuum.

A retrospective economic evaluation of a female condom distribution and education program in Washington, DC. was conducted. Standard methods of cost, threshold and cost-utility analysis were utilized as recommended by the U.S. Panel on cost-effectiveness in health and medicine. The overall cost of the program that distributed 200,000 female condoms and provided educational services was $414,186 (at a total gross cost per condom used during sex of $3.19, including educational services). The number of HIV infections that would have to be averted in order for the program to be cost-saving was 1.13 in the societal perspective and 1.50 in the public sector payor perspective. The cost-effectiveness threshold of HIV infections to be averted was 0.46. Overall, mathematical modeling analyses estimated that the intervention averted approximately 23 HIV infections (even with the uncertainty inherent in this estimate, this value appears to well exceed the necessary thresholds), and the intervention resulted in a substantial net cost savings.

Background: Triangulation of data from multiple sources such as clinical cohort and surveillance data can help improve our ability to describe care patterns, service utilization, comorbidities, and ultimately measure and monitor clinical outcomes among persons living with HIV infection. Objectives: The objective of this study was to determine whether linkage of clinical cohort data and routinely collected HIV surveillance data would enhance the completeness and accuracy of each database and improve the understanding of care patterns and clinical outcomes. Methods: We linked data from the District of Columbia (DC) Cohort, a large HIV observational clinical cohort, with Washington, DC, Department of Health (DOH) surveillance data between January 2011 and June 2015. We determined percent concordance between select variables in the pre- and postlinked databases using kappa test statistics. We compared retention in care (RIC), viral suppression (VS), sexually transmitted diseases (STDs), and non-HIV comorbid conditions (eg, hypertension) and compared HIV clinic visit patterns determined using the prelinked database (DC Cohort) versus the postlinked database (DC Cohort + DOH) using chi-square testing. Additionally, we compared sociodemographic characteristics, RIC, and VS among participants receiving HIV care at ?3 sites versus

Background: The National HIV/AIDS Strategy calls for active surveillance programs for human immunodeficiency virus (HIV) to more accurately measure access to and retention in care across the HIV care continuum for persons living with HIV within their jurisdictions and to identify persons who may need public health services. However, traditional public health surveillance methods face substantial technological and privacy-related barriers to data sharing. Objective: This study developed a novel data-sharing approach to improve the timeliness and quality of HIV surveillance data in three jurisdictions where persons may often travel across the borders of the District of Columbia, Maryland, and Virginia. Methods: A deterministic algorithm of approximately 1000 lines was developed, including a person-matching system with Enhanced HIV/AIDS Reporting System (eHARS) variables. Person matching was defined in categories (from strongest to weakest): exact, very high, high, medium high, medium, medium low, low, and very low. The algorithm was verified using conventional component testing methods, manual code inspection, and comprehensive output file examination. Results were validated by jurisdictions using internal review processes. Results: Of 161,343 uploaded eHARS records from District of Columbia (N=49,326), Maryland (N=66,200), and Virginia (N=45,817), a total of 21,472 persons were matched across jurisdictions over various strengths in a matching process totaling 21 minutes and 58 seconds in the privacy device, leaving 139,871 uniquely identified with only one jurisdiction. No records matched as medium low or low. Over 80% of the matches were identified as either exact or very high matches. Three separate validation methods were conducted for this study, and they all found ≥90% accuracy between records matched by this novel method and traditional matching methods. Conclusions: This study illustrated a novel data-sharing approach that may facilitate timelier and better quality HIV surveillance data for public health action by reducing the effort needed for traditional person-matching reviews without compromising matching accuracy. Future analyses will examine the generalizability of these findings to other applications. [JMIR Public Health Surveill 2016;2(1):e3]

Background Routine HIV testing is an essential approach to identifying undiagnosed infections, linking people to care and treatment, and preventing new infections. In Washington, DC, where HIV prevalence is 2.4%, a combination of routine and targeted testing approaches has been implemented since 2006. Methods We sought to evaluate the cost effectiveness of the District of Columbia (DC) Department of Health’s routine and targeted HIV testing implementation strategies. We collected HIV testing data from 3 types of DC Department of Health-funded testing sites (clinics, hospitals, and community-based organizations); collected testing and labor costs; and calculated effectiveness measures including cost per new diagnosis and cost per averted transmission. Results Compared to routine testing, targeted testing resulted in higher positivity rates (1.33% vs. 0.44%). Routine testing averted 34.30 transmissions per year compared to targeted testing at 17.78. The cost per new diagnosis was lower for targeted testing ($2,467 vs. $7,753 per new diagnosis) as was the cost per transmission averted ($33,160 vs. $104,205). When stratified by testing site, both testing approaches were most cost effective in averting new transmissions when conducted by community based organizations ($25,037 routine; $33,123 targeted) compared to hospitals or clinics. Conclusions While routine testing identified more newly diagnosed infections and averted more infections than targeted testing, targeted testing is more cost effective per diagnosis and per transmission averted overall. Given the high HIV prevalence in DC, the DC Department of Health’s implementation strategy should continue to encourage routine testing implementation with emphasis on a combined testing strategy among community-based organizations.

Background The District of Columbia Department of Health funds facilities to provide HIV medical case management (MCM), inclusive of linkage, engagement in care, and treatment adherence support. The objective of this analysis was to identify the differences in the clinical outcomes among HIV-infected persons receiving care at MCM-funded facilities compared with those in nonfunded facilities. Methods Newly diagnosed and prevalent HIV-infected persons were identified from the District of Columbia Department of Health surveillance system. Clinical outcomes of interest were linkage, retention in care, and viral suppression. Bivariate analyses and random effects logistic regression were used to examine the differences in demographics and clinical outcomes of persons receiving care at MCM-funded and nonfunded facilities. Results Among 5631 prevalent cases, 56.7% received care at MCM-funded facilities of which 76.2% were retained in care, and 70.6% achieved viral suppression. Those receiving care in MCM-funded facilities were significantly more likely to be retained in care [adjusted odds ratio (aOR) 4.13; 95% confidence interval (CI): 1.93 to 8.85] and as likely (aOR 1.06; 95% CI: 0.68 to 1.62) to be virally suppressed than persons receiving care in nonfunded facilities. Among 789 newly diagnosed persons, those diagnosed in MCM-funded facilities were not significantly more likely to be linked to care within 3 months (aOR 0.50; 95% CI: 0.21 to 1.18) than those diagnosed in nonfunded facilities. Discussion This study provides evidence that MCM may be beneficial to HIV-infected persons in DC by improving retention in care. Further identification of the specific services providing the most benefit to clients is needed, including a better understanding of the complex relationship between retention and viral suppression.