Angelica Bocour

Lost or just not following up: public health effort to re-engage HIV-infected persons lost to follow-up into HIV medical care.

Objective:Locate persons living with HIV (PLWH) presumed lost to follow-up (LTFU), and assist them with partner services and linkage to HIV-related care. Design:Locate and facilitate re-engagement in care for PLWH-LTFU in New York City (NYC), with longitudinal follow-up using HIV surveillance registry. Settings:HIV care facilities and communities in NYC. Patients:PLWH, reported in the NYC HIV surveillance registry, who had a NYC care provider and residential address at last report in the registry. Presumed-LTFU was defined as having no CD4+ or viral load during the most recent 9 months during the study period July 2008–December 2010. Intervention:Case-workers conducted public health investigation to locate PLWH presumed-LTFU and offered them assistance with partner and linkage-to-care services. Main outcome measures:Results of partner and linkage-to-care services, and reasons for LTFU. Results:From July 2008 to December 2010, 797 PLWH presumed-LTFU were prioritized for investigation; 14% were never located. Of the 689 located, 33% were current to care, 5% had moved or were incarcerated, 2% had died, and 59% (409) were verified to be LTFU. Once located, 77% (315/409) accepted clinic appointments, and 57% (232/409) returned to care. Among the 161 who provided reasons for LTFU, the most commonly reported was ‘felt well’ (41%). Conclusions:Health department case-workers helped more than half PLWH-LTFU re-engage in HIV medical care. HIV prevention strategies must include efforts to re-engage PLWH-LTFU in care, for treatment consideration under current treatment guidelines to improve their clinical status and decrease transmission risk.

Bringing HIV partner services into the age of social media and mobile connectivity.

Background A substantial proportion of recent sex partners named by persons with sexually transmitted infections are not notified about their exposure despite attempts by public health officials. Although text messaging (texting) and Internet-based communications (dating Web sites, e-mail, etc) are used by a large segment of the public for regular communications, these tools have been underused for partner services (PS). Methods We augmented PS for HIV in New York City using texting and Internet-based means to contact persons for whom traditional information (landline telephone number, postal address) was unavailable. We compared traditional PS (traditionalPS), Internet-based PS (IPS) in January 2011 to October 2012, and texting PS (txtPS) from January 2012 (when txtPS was initiated) through October 2012 on outcomes of contact attempts, notification, and HIV testing. Results From January 2011 to October 2012, of 3319 partners elicited, 2604 and 275 partners had traditional and only Internet-based contact information and were selected for traditionalPS and IPS, respectively. From January to October 2012, 368 of 1569 partners had only texting-enabled cellphone numbers and were selected for txtPS. The contact rate for txtPS (285/368 [77%]) was significantly higher (P < 0.0001) than the contact rates for traditionalPS (1803/2604 [69%]) and IPS (112/275 [41%]). There was a higher likelihood of notifying contacted IPS (odds ratio, 2.1; 1.2–3.4) and txtPS (odds ratio, 2.4; 1.7–3.2) than traditionalPS partners (P ⩽ 0.0001). However, among the notified partners, traditionalPS partners were significantly (P < 0.0001) more likely than txtPS or IPS partners to test for HIV after partner notification (69% vs 45% and 34%, respectively). Conclusions Augmenting traditionalPS with txtPS and IPS enabled notification of hundreds of previously untraceable partners and several new HIV diagnoses.

Barriers to HIV testing among HIV/AIDS concurrently diagnosed persons in New York City.

Objectives: To assess barriers to human immunodeficiency virus (HIV) testing, health care contacts history, and HIV testing history among patients diagnosed concurrently with HIV and acquired immunodeficiency syndrome (AIDS). Methods: We surveyed patients concurrently diagnosed with HIV/AIDS who had participated in the partner notification program of the New York City Department of Health and Mental Hygiene, between January 2008 and December 2008. Results: The most common reason interviewees volunteered for delaying testing (64%) was that they did not believe they were at risk for HIV. When read a list of potential barriers, 69% of interviewees replied affirmatively that they did not test for HIV because they did not believe they were at risk, and 52% replied affirmatively that they did not test because they thought their behaviors kept them safe from getting HIV. Half of all interviewees reported having insurance during part or all of the year before they were diagnosed with HIV/AIDS, and 70% had at least 1 health care visit in the year before they were diagnosed with HIV/AIDS. Conclusions: A lack of perception of risk was the most common reason for not testing for HIV sooner among these concurrently diagnosed patients. The majority of these patients were accessing medical care, indicating that this population could have benefited from routine HIV testing.

Hiv partner services are associated with timely linkage to Hiv medical care

The Centers for Disease Control and Prevention (CDC) recommends that persons diagnosed with HIV receive partner services with health department involvement. CDC describes partner services as not only including partner notification, but also linkage to medical care for HIV-infected persons. The New York City Health Department formed a unit in 2006 to expedite partner services. We examined the contribution of our HIV partner services program in improving timely linkage and retention in HIV medical care.

Differences in risk behaviors and partnership patterns between younger and older men who have sex with men in New York City.

BackgroundMen who have sex with men (MSM) account for a higher proportion of HIV diagnoses than any other risk group in the United States. Given that in NYC MSM younger than 30 years represent a growing proportion of new diagnoses among MSM, we examined differences between MSM by age. MethodsWe analyzed NYC surveillance and partner services (PS) data for MSM newly diagnosed with HIV from January 2007 to December 2008. We compared demographics, HIV-related risk behaviors, and sexual partner characteristics between younger MSM (<30 years old) (YMSM) and MSM ≥30 years old. ResultsThree hundred and thirty-six MSM were interviewed for PS (180 YMSM and 156 older MSM). MSM were mostly black or Hispanic (91%). YMSM were more likely than older MSM to report gay sexual identity (70% vs. 58%, P < 0.01), and a recent sexually transmitted infection (29% vs. 15%, P < 0.01). More YMSM named ≥1 male partner for HIV notification (66% vs. 36%, P < 0.01). YMSM were more likely than older MSM to name partners who were 5 or more years older (42% vs. 25%, P < 0.01). More YMSM tested for HIV at least once in the past 2 years than older MSM (66% vs. 40%, P < 0.01). DiscussionOur study has identified important differences in HIV risk behaviors and sexual partnerships between YMSM and older MSM newly diagnosed with HIV. YMSM were more willing to provide the names of male sex partners for the purposes of partner notification than were older MSM, suggesting that PS may be particularly effective at identifying new cases of HIV.

The Free Condom Initiative: Promoting Condom Availability and Use in New York City

In 2005, the New York City Department of Health and Mental Hygiene (DOHMH) made free condoms available to organizations through a Web-based ordering system. In 2006, we interviewed managers and patrons about free condom availability, acquisition, and use in venues where people at high risk for human immunodeficiency virus congregate. DOHMH condom distribution increased from 5.8 million in 2004 to 17.3 million in 2006. Overall, managers reported making condoms available at 76% (309/409) of high-priority venues, but only at 40% of gay bars. Among patrons who saw free condoms, 80% (280/351) reported taking them; 73% (205/280) of those who reported taking them also reported using them. A simple, Web-based ordering system dramatically increased condom distribution. In the venues we sampled, the majority of patrons acquired and used free condoms when available and visible, suggesting that increasing free condom availability may increase use. Special efforts are needed to ensure availability at gay bars.

The Association between Neighborhood Poverty and HIV Diagnoses among Males and Females in New York City, 2010–2011

Objective. We assessed the association of neighborhood poverty with HIV diagnosis rates for males and females in New York City. Methods. We calculated annual HIV diagnosis rates by ZIP Code, sex, and neighborhood poverty level using 2010–2011 New York City (NYC) HIV surveillance data and data from the U.S. Census 2010 and American Community Survey 2007–2011. Neighborhood poverty levels were percentage of residents in a ZIP Code with incomes below the federal poverty threshold, categorized as 0%–<10% (low poverty), 10%–<20% (medium poverty), 20%–<30% (high poverty), and 30%–100% (very high poverty). We used sex-stratified negative binomial regression models to measure the association between neighborhood-level poverty and HIV diagnosis rates, controlling for neighborhood-level education, race/ethnicity, age, and percentage of men who have sex with men. Results. In 2010–2011, 6,184 people were newly diagnosed with HIV. Median diagnosis rates per 100,000 population increased by neighborhood poverty level overall (13.7, 34.3, 50.6, and 75.6 for low-, medium-, high-, and very high-poverty ZIP Codes, respectively), for males, and for females. In regression models, higher neighborhood poverty remained associated with higher diagnosis rates among males (adjusted rate ratio [ARR] = 1.63, 95% confidence interval [CI] 1.34, 1.97) and females (ARR=2.14, 95% CI 1.46, 3.14) for very high- vs. low-poverty ZIP Codes. Conclusion. Living in very high- vs. low-poverty urban neighborhoods was associated with increased HIV diagnosis rates. After controlling for other factors, the association between poverty and diagnosis rates was stronger among females than among males. Alleviating poverty may help decrease HIV-related disparities.

Comparing HIV partner notification effectiveness between blacks and Hispanics in New York City.

Between July 2006 and November 2007, a total of 894 blacks and 491 Hispanics were interviewed to assess partner notification services. Fewer Hispanics needed to be interviewed to identify 1 newly diagnosed partner as compared with blacks (24 vs. 60, P < 0.01), but number needed to be interviewed was similar for identifying partners with any HIV infection.

For partner services, do we need "face-time," or FaceTime?: Trends in relative proportion of in-person notifications and HIV testing after introduction of a telephone option for HIV exposure notification by public health.

Public health usually notifies partners of STD exposure in-person despite availability of other options. We examined trends in in-person versus telephone notification for HIV 3 years after the introduction of a telephone option. Most notifications were made by telephone. Partners notified doubled; however, the proportion HIV testing declined slightly.

The Effect of HIV Field-Based Testing on the Proportion of Notified Partners Who Test for HIV in New York City

HIV partner services can effectively reach populations with high HIV prevalence. However, located and notified sex and needle-sharing partners of persons infected with HIV often fail to test. Field testing may increase the proportion of notified partners who test for HIV. In 2008, New York Citys health department incorporated field testing into partner services. After the introduction of field testing, the proportion of notified partners who tested for HIV rose from 52% to 76% (P<.001). HIV prevalence fell slightly among notified partners who accepted testing (12% to 9%, P=.82), but we identified more than double the number of new positives (11 vs 25). All positive and 97% of negative results were received by the person tested.