The Role of Neighborhood Poverty in the Association between Foreign-Born status and HIV Care Continuum Outcomes in Alameda County, California.

Foreign-born persons living in the US have an increased risk of exposure to HIV and higher rates of HIV diagnosis (Patel-Larson et al. in Poster presented at the 2007 National HIV Prevention Conference, pp 2-5, 2007; Prosser et al. in JAMA 308:601-607, 2012). Foreign-born persons also tend to live in areas with high concentration of immigrants and more often neighborhoods of high poverty, for at least some time (Jargowsky in J Ethn Migr Stud 35:1129-1151, 2009). Using HIV surveillance data in Alameda County, California, we examined whether the association between immigrant status and the four outcomes on the HIV care cascade (late diagnosis, linkage to care within 30 days of diagnosis, retention in HIV care, and viral load status a year after diagnosis) differed by census tract poverty level. We used generalized estimating equations (GEE) adjusted for sex at birth, age, race, and transmission mode. Of 1235 individuals with HIV diagnosis reported between 2011 and 2016, 29% were foreign-born. Foreign-born status was significantly associated with late HIV diagnosis but not with linkage, retention in care, and achievement of undetectable viral load a year after diagnosis. Neighborhood poverty modified the association between immigrant status and retention in care, but not late diagnosis, linkage or viral load status. Our findings suggest that neighborhood resources may buffer against disparities in retention. Thus, immigrants in poorer neighborhoods may require more support to stay in care.

Combining surveillance systems to investigate local trends in tuberculosis-HIV co-infection.

Alameda County has some of the highest human immunodeficiency virus (HIV) and tuberculosis (TB) case rates of California counties. We identified TB-HIV co-infected patients in 2002-2015 by matching county TB and HIV registries, and assessed trends in TB-HIV case rates and estimated prevalence ratios for HIV co-infection. Of 2054 TB cases reported during 2002-2015, 91 (4%) were HIV co-infected. TB-HIV case rates were 0.29/100,000 and 0.40/100,000 in 2002 and 2015, respectively, with no significant change (P = 0.85). African-American TB case-patients were 9.77 times (95% confidence interval [CI] 5.90-16.17) more likely than Asians to be HIV co-infected, and men 2.74 times (95% CI 1.66-4.51) more likely co-infected than women. HIV co-infection was more likely among TB case-patients with homelessness (6.21, 95% CI 3.49-11.05) and injection drug use (11.75, 95% CI 7.61-18.14), but less common among foreign-born and older case-patients (both P < 0.05). Among foreign-born case-patients, 42% arrived in the U.S. within 5 years of TB diagnosis. TB-HIV case rates were low and stable in Alameda County, and co-infected patients were predominantly young, male, U.S.-born individuals with traditional TB risk factors. Efforts to reduce TB-HIV burden in Alameda County should target persons with traditional TB risk factors and recently arrived foreign-born individuals.

Evaluating the Completeness of HIV Surveillance Using Capture-Recapture Models, Alameda County, California.

HIV prevalence in Alameda County (including Oakland) is among the highest in California, yet the case registry may under-appreciate the full burden of disease. Using lists from health care facilities serving socioeconomically diverse populations and the HIV surveillance list, we applied capture-recapture methods to evaluate the completeness of the surveillance system by estimating the number of diagnosed people living with HIV and seeking care in Alameda County in 2013. Of the 5376 unique individuals reported from the lists, 397 were missing from the surveillance list. Models projected the total population size to be 5720 (95% CI 5587-6190), estimating the surveillance system as 87% complete. Subgroup analyses identified groups facing a disproportionate burden of HIV as more likely to be detected by the surveillance list. The Alameda County HIV surveillance system reports a high proportion of persons diagnosed with HIV within the jurisdiction. Capture-recapture analysis can help track progress towards maximizing engagement in HIV care.

Guidelines for the mapping of cancer registry data: results from a breast cancer expert panel study.

CONTEXT: Small area (eg, subcounty) cancer mapping is one of the analytic services most commonly requested of cancer registries and local public health agencies, and difficulties in providing it have been noted to undermine public confidence. Although a great many statistical protocols have been published to enable this practice, none of them are in common use to generate information for the general public. OBJECTIVES: To evaluate the utility of subcounty breast cancer mapping and articulate guidelines and a possible protocol for its implementation by cancer registries and local public health agencies. METHODS: We convened an Expert Advisory Group of breast cancer stakeholders from around California to elicit values, priorities, and preferred characteristics of protocols for proactive subcounty breast cancer mapping. Upon formulating a protocol, we applied it to 9 years of data (2000-2008) describing invasive breast cancer in California for evaluation by the Expert Advisory Group. RESULTS: Maps with subcounty resolution were seen to provide important information with a wide range of applications. Priorities included the avoidance of false-positive findings, scientific credibility, and the provision of information elucidating social and environmental characteristics. A protocol using Kulldorff's Scan Statistic along with postanalytic steps for refining results was elaborated; when applied to the data, 4 discrete regions with elevated rates of invasive breast cancer were identified and described. CONCLUSIONS: Expert Advisory Group priorities were readily translatable into a scientifically rigorous protocol that protected confidentiality and avoided statistically unstable rate estimates. The resulting maps enabled participants to visualize geographically defined populations falling within and crossing county boundaries. These findings support the enactment of policies for the routine and proactive analysis of breast cancer surveillance data to provide subcounty information.

Improving the efficiency of HIV testing with peer recruitment, financial incentives, and the involvement of persons living with HIV infection.

BACKGROUND: The authors piloted an HIV testing and counseling (HTC) approach using respondent-driven sampling (RDS), financial incentives, and persons living with HIV infection (PLHIV). METHODS: Eligible participants were aged 30-60 years, African American or black, and residents of Oakland, CA. Participants were tested for HIV infection and asked to refer up to 3 others. The authors compared the efficiency of RDS to conventional outreach-based HTC with the number needed to screen (NNS). They evaluated the effect of 2 randomly allocated recruitment incentives on the enrollment of high-risk or HIV-positive network associates: a flat incentive ($20) for eligible recruits or a conditional incentive ($10-35) for eligible recruits in priority groups, such as first-time testers. RESULTS: Forty-eight participants (10 PLHIV and 38 HIV negative) initiated recruitment chains resulting in 243 network associates. Nine (3.7%) participants tested HIV positive, of whom 7 (78%) were previously recognized. RDS was more efficient than conventional HTC at identifying any PLHIV (new or previously recognized; RDS: NNS = 27, 95% CI: 14 to 59; conventional: NNS = 154, 95% CI: 95 to 270). There was no difference between the 2 incentive groups in the likelihood of recruiting at least 1 high-risk HIV-negative or HIV-positive network associate (adjusted odds ratio = 0.89, 95% CI: 0.06 to 13.06) or in total number of high-risk HIV-negative or HIV-positive associates (adjusted odds ratio = 0.79, 95% CI: 0.23 to 2.71). CONCLUSIONS: Social network HTC strategies may increase demand for HTC and efficiently identify PLHIV. The flat incentive was as successful as the conditional incentive for recruiting high-risk individuals. Unexpectedly, this method also reidentified PLHIV aware of their status.