Differences by Sexual Orientation in Patient-Centered Care Outcomes for Veterans Utilizing Primary Care Services at the Veterans Health Administration.

Purpose: This study examined the differences by sexual orientation in patient-centered care outcomes (including health care experiences and health-related screening) of veterans utilizing Veterans Health Administration (VHA) primary care. Methods: VHA's adapted version of the Consumer Assessment of Healthcare Providers and Systems was used to compare the health care experience of primary care services among sexual minority (SM) and heterosexual veterans. Health care experience measures were dichotomized to "always" versus "less" and stratified by SM status. Health-related screening measures were dichotomous. Survey data were weighted using provided sample weights. Descriptive statistics were performed on sociodemographic characteristics. Logistic regression coefficients were represented as adjusted odds ratios (aORs). A total of 66,348 veterans were included in the analytic sample, of which 2.9% (n = 1,935) identified as SM. Sexual orientation was ascertained by self-report measures by veterans. Results: SM veterans were significantly younger (56.95 years vs. 63.43 years, p < 0.001), were less likely to report that their provider showed respect for what they had to say (aOR: 0.76; 95% confidence interval [CI]: 0.61-0.95), that they were asked about difficulties taking care of their health (aOR: 0.81; 95% CI: 0.67-0.96), and their provider listened carefully to them (aOR: 0.71; 95% CI: 0.57-0.87) compared to heterosexual veterans. Conclusion: Health care experiences differed between SM and heterosexual veterans who sought VHA primary care, suggesting the need to increase provider trainings, which may improve cultural competency and promote a more welcoming and inclusive environment.

Evaluation of regional variation in racial and ethnic differences in patient experience among Veterans Health Administration primary care users.

OBJECTIVE: To evaluate racial and ethnic differences in patient experience among VA primary care users at the Veterans Integrated Service Network (VISN) level. DATA SOURCE AND STUDY SETTING: We performed a secondary analysis of the VA Survey of Healthcare Experiences of Patients-Patient Centered Medical Home for fiscal years 2016-2019. STUDY DESIGN: We compared 28 patient experience measures (six each in the domains of access and care coordination, 16 in the domain of person-centered care) between minoritized racial and ethnic groups (American Indian or Alaska Native [AIAN], Asian, Black, Hispanic, Multi-Race, Native Hawaiian or Other Pacific Islander [NHOPI]) and White Veterans. We used weighted logistic regression to test differences between minoritized and White Veterans, controlling for age and gender. DATA COLLECTION/EXTRACTION METHODS: We defined meaningful difference as both statistically significant at two-tailed p < 0.05 with a relative difference ≥10% or ≤-10%. Within VISNs, we included tests of group differences with adequate power to detect meaningful relative differences from a minimum of five comparisons (domain agnostic) per VISN, and separately for a minimum of two for access and care coordination and four for person-centered care domains. We report differences as disparities/large disparities (relative difference ≥10%/≥ 25%), advantages (experience worse or better, respectively, than White patients), or equivalence. PRINCIPAL FINDINGS: Our analytic sample included 1,038,212 Veterans (0.6% AIAN, 1.4% Asian, 16.9% Black, 7.4% Hispanic, 0.8% Multi-Race, 0.8% NHOPI, 67.7% White). Across VISNs, the greatest proportion of comparisons indicated disparities for three of seven eligible VISNs for AIAN, 6/10 for Asian, 3/4 for Multi-Race, and 2/6 for NHOPI Veterans. The plurality of comparisons indicated advantages or equivalence for 17/18 eligible VISNs for Black and 12/14 for Hispanic Veterans. AIAN, Asian, Multi-Race, and NHOPI groups had more comparisons indicating disparities by VISN in the access domain than person-centered care and care coordination. CONCLUSIONS: We found meaningful differences in patient experience measures across VISNs for minoritized compared to White groups, especially for groups with lower population representation.

Assessing equity in the uptake of remote foot temperature monitoring in a large integrated US healthcare system.

OBJECTIVE: We assessed equity in the uptake of remote foot temperature monitoring (RTM) for amputation prevention throughout a large, integrated US healthcare system between 2019 and 2021, including comparisons across facilities and between patients enrolled and eligible patients not enrolled in RTM focusing on the Reach and Adoption dimensions of the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. MATERIAL AND METHODS: To assess whether there was equitable use of RTM across facilities, we examined distributions of patient demographic, geographic, and facility characteristics across facility RTM use categories (e.g., no RTM use, and low, moderate, and high RTM use) among all eligible patients (n = 46,294). Second, to understand whether, among facilities using RTM, there was equitable enrollment of patients in RTM, we compared characteristics of patients enrolled in RTM (n = 1066) relative to a group of eligible patients not enrolled in RTM (n = 27,166) using logistic regression and including all covariates. RESULTS: RTM use increased substantially from an average of 11 patients per month to over 40 patients per month between 2019 and 2021. High-use RTM facilities had higher complexity and a lower ratio of patients per podiatrist but did not have consistent evidence of better footcare process measures. Among facilities offering RTM, enrollment varied by age, was inversely associated with Black race (vs. white), low income, living far from specialty care, and being in the highest quartiles of telehealth use prior to enrollment. Enrollment was positively associated with having osteomyelitis, Charcot foot, a partial foot amputation, BMI≥30 kg/m2, and high outpatient utilization. CONCLUSIONS: RTM growth was concentrated in a small number of higher-resourced facilities, with evidence of lower enrollment among those who were Black and lived farther from specialty care. Future studies are needed to identify and address barriers to uptake of new interventions like RTM to prevent exacerbating existing ulceration and amputation disparities.

Evaluation of the Effectiveness of Remote Foot Temperature Monitoring for Prevention of Amputation in a Large Integrated Health Care System.

OBJECTIVE: We evaluated the effectiveness of remote foot temperature monitoring (RTM) in the Veterans Affairs health care system. RESEARCH DESIGN AND METHODS: We conducted a retrospective cohort study that included 924 eligible patients enrolled in RTM between 2019 and 2021 who were matched up to 3:1 to 2,757 nonenrolled comparison patients. We used conditional Cox regression to estimate adjusted cause-specific hazard ratios (aHRs) and corresponding 95% CIs for lower-extremity amputation (LEA) as the primary outcome and all-cause hospitalization and death as secondary outcomes. RESULTS: RTM was not associated with LEA incidence (aHR 0.92, 95% CI 0.62-1.37) or all-cause hospitalization (aHR 0.97, 95% CI 0.82-1.14) but was inversely associated (reduced risk) with death (aHR 0.63, 95% CI 0.49-0.82). CONCLUSIONS: This study does not provide support that RTM reduces the risk of LEA or all-cause hospitalization in individuals with a history of diabetic foot ulcer. Randomized controlled trials can overcome important limitations.

VA Research and Operations Uniting to Combat COVID-19 Inequities.

As novel coronavirus 2019 disease (COVID-19) began to spread across the United States in early 2020, health care systems faced extreme demands on resources. As the country's largest single-payer health care system, the U.S. Department of Veterans Affairs (VA) was uniquely positioned to study how the virus impacted different communities and work to improve care provided to all. Early on, a literature review of prior epidemics revealed that occupational exposures and an inability to socially distance could impact some groups more than others. The VA's Office of Health Equity leveraged a general sense of community to create a collaborative research space and a dedicated analytic space to inform pandemic operations. VA researchers and operations staff were able to quickly share information and respond to updates to produce accurate and reliable publications for medical professionals and the general public. Partnerships with VA Medical Centers and Veteran Service Organizations helped to increase communication across the nation and determine the most critical needs. Although COVID-19 was dynamic in nature, VA's intentional examination of social and structural factors was crucial in informing a more equitable approach. Moving forward, these inequities must be intentionally addressed in future pandemic responses.

Assessing an electronic self-report method for improving quality of ethnicity and race data in the Veterans Health Administration.

Objective: Evaluate self-reported electronic screening (eScreening) in a VA Transition Care Management Program (TCM) to improve the accuracy and completeness of administrative ethnicity and race data. Materials and Methods: We compared missing, declined, and complete (neither missing nor declined) rates between (1) TCM-eScreening (ethnicity and race entered into electronic tablet directly by patient using eScreening), (2) TCM-EHR (Veteran-completed paper form plus interview, data entered by staff), and (3) Standard-EHR (multiple processes, data entered by staff). The TCM-eScreening (n = 7113) and TCM-EHR groups (n = 7113) included post-9/11 Veterans. Standard-EHR Veterans included all non-TCM Gulf War and post-9/11 Veterans at VA San Diego (n = 92 921). Results: Ethnicity: TCM-eScreening had lower rates of missingness than TCM-EHR and Standard-EHR (3.0% vs 5.3% and 8.6%, respectively, P < .05), but higher rates of "decline to answer" (7% vs 0.5% and 1.2%, P < .05). TCM-EHR had higher data completeness than TCM-eScreening and Standard-EHR (94.2% vs 90% and 90.2%, respectively, P < .05). Race: No differences between TCM-eScreening and TCM-EHR for missingness (3.5% vs 3.4%, P > .05) or data completeness (89.9% vs 91%, P > .05). Both had better data completeness than Standard-EHR (P < .05), which despite the lowest rate of "decline to answer" (3%) had the highest missingness (10.3%) and lowest overall completeness (86.6%). There was strong agreement between TCM-eScreening and TCM-EHR for ethnicity (Kappa = .92) and for Asian, Black, and White Veteran race (Kappas = .87 to .97), but lower agreement for American Indian/Alaska Native (Kappa = .59) and Native Hawaiian/Other Pacific Islander (Kappa = .50) Veterans. Conculsions: eScreening is a promising method for improving ethnicity and race data accuracy and completeness in VA.

Temporal variation in individual social risk factors associated with testing positive for SARS-CoV-2 among veterans in the veterans health administration.

PURPOSE: Marginalized communities have been disproportionally impacted by SARS-CoV-2. How the associations between social determinants of health and the risk of SARS-CoV-2 infection shifted across time is unknown. In this evaluation, we examine individual-level social determinants of health as social risk factors for SARS-CoV-2 infection across the first 12 months of the pandemic among US Veterans. METHODS: We conducted a retrospective cohort analysis of 946,358 Veterans who sought testing or treatment for SARS-CoV-2 infection in U.S. Department of Veterans Affairs medical facilities. We estimated risk ratios for testing positive by social risk factors, adjusting for demographics, comorbidities, and time. Adjusted models were stratified by pandemic phase to assess temporal fluctuations in social risks. RESULTS: Approximately 19% of Veterans tested positive for SARS-CoV-2. Larger household size was a persistent risk factor and this association increased over time. Early in the pandemic, lower county-level population density was associated with lower SARS-CoV-2 infection risk, but between June 1 and August 31, 2020, this trend reversed. CONCLUSIONS: Temporal fluctuations in social risks associated with Veterans' SARS-CoV-2 infection suggest the need for ongoing, real-time tracking as the social and medical environment continues to evolve.

Optimizing Data on Race and Ethnicity for Veterans Affairs Patients.

INTRODUCTION: Maintaining accurate race and ethnicity data among patients of the Veterans Affairs (VA) healthcare system has historically been a challenge. This work expands on previous efforts to optimize race and ethnicity values by combining multiple VA data sources and exploring race- and ethnicity-specific collation algorithms. MATERIALS AND METHODS: We linked VA patient data from 2000 to 2018 with race and ethnicity data from four administrative and electronic health record sources: VA Medical SAS files (MedSAS), Corporate Data Warehouse (CDW), VA Centers for Medicare extracts (CMS), and VA Defense Identity Repository Data (VADIR). To assess the accuracy of each data source, we compared race and ethnicity values to self-reported data from the Survey of Health Experiences of Patients (SHEP). We used Cohen's Kappa to assess overall (holistic) source agreement and positive predictive values (PPV) to determine the accuracy of sources for each race and ethnicity separately. RESULTS: Holistic agreement with SHEP data was excellent (K > 0.80 for all sources), while race- and ethnicity-specific agreement varied. All sources were best at identifying White and Black users (average PPV = 0.94, 0.93, respectively). When applied to the full VA user population, both holistic and race-specific algorithms substantially reduced unknown values, as compared to single-source methods. CONCLUSIONS: Combining multiple sources to generate race and ethnicity values improves data accuracy among VA patients. Based on the overall agreement with self-reported data, we recommend using non-missing values from sources in the following order to fill in race values-SHEP, CMS, CDW, MedSAS, and VADIR-and in the following order to fill in ethnicity values-SHEP, CDW, MedSAS, VADIR, and CMS.

Racial/Ethnic Variation in Veterans Health Administration COVID-19 Vaccine Uptake.

INTRODUCTION: Equitable COVID-19 vaccine access is imperative to mitigating negative COVID-19 impacts among racial/ethnic minorities. U.S. racial/ethnic minorities have lower COVID-19 vaccination rates than Whites despite higher COVID-19 death/case rates. The Veterans Health Administration provides the unique context of a managed care system with few access barriers. This study evaluates race/ethnicity as a predictor of Veterans Health Administration COVID-19 vaccination. METHODS: The cohort was composed of Veterans Health Administration outpatient users aged ≥65 years (N=3,474,874). COVID-19 vaccination was assessed between December 14, 2020 and February 23, 2021. Multivariable logistic regressions were conducted, controlling for demographics, medical comorbidity, and influenza vaccination history. Proximity to Indian Health Service Contract Health Service Delivery Areas was tested as a moderator. Data analyses were conducted during 2021. RESULTS: Blacks (OR=1.28, 95% CI=1.17, 1.40), Hispanics (OR=1.15, 95% CI=1.05, 1.25), and Asians (OR=1.21, 95% CI=1.02, 1.43) were more likely than Whites to receive Veterans Health Administration COVID-19 vaccinations. American Indian/Alaska Natives were less likely than Whites to receive Veterans Health Administration COVID-19 vaccinations, but only those residing in Contract Health Service Delivery Area counties (OR= 0.58, 95% CI= 0.47, 0.72). Influenza vaccine history positively predicted COVID-19 vaccine uptake (OR= 2.28, 95% CI=2.22, 2.34). CONCLUSIONS: In the Veterans Health Administration, compared with the general U.S. population, COVID-19 vaccine receipt is higher among most racial/ethnic minority groups than Whites, suggesting reduced vaccination barriers . The Indian Health Service may provide a safety net for American Indian/Alaska Native populations. Addressing vaccination access barriers in non-Veterans Health Administration settings can potentially reduce racial/ethnic disparities.

Variations by race/ethnicity and time in Covid-19 testing among Veterans Health Administration users with COVID-19 symptoms or exposure.

Racial/ethnic disparities in coronavirus disease 2019 (COVID-19) hospitalization and mortality have emerged in the United States, but less is known about whether similar differences exist in testing, and how this changed as COVID-19 knowledge and policies evolved. We examined racial/ethnic variations in COVID-19 testing over time among veterans who sought care for COVID-19 symptoms or exposure. In the national population of all Veterans who sought Veterans Health Administration (VHA) care for COVID-19 symptoms or exposure (n = 913,806), we conducted multivariate logistic regressions to explore race/ethnicity-by-time period differences in testing from 3/1/2020-11/25/2020, and calculated predicted probabilities by race/ethnicity and time period. Early in the pandemic (3/1/2020-4/6/2020) when testing was limited and there was less awareness of racial/ethnic disparities, non-Hispanic Black, Hispanic, and other non-White racial/ethnic minority Veterans who sought care from VHA for COVID-19 symptoms or exposure were more likely than non-Hispanic White Veterans to receive a COVID-19 test (p < 0.05). In subsequent time periods (4/7/2020-11/25/2020), testing was similar among all racial/ethnic groups. Among Veterans with COVID-19 symptoms or exposure, non-Hispanic Black and Hispanic patients were just as likely, and in some cases, more likely, to receive a COVID-19 test versus non-Hispanic White patients. The United States faced testing shortages at the start of the third wave of the pandemic; additional shortages are likely to emerge as the pandemic continues to peak and ebb. It is important to ensure that racial/ethnic minorities and others at greater risk for infection continue to have access to COVID-19 testing with each of these peaks.

Time Trends in Racial/Ethnic Differences in COVID-19 Infection and Mortality.

Studies documenting coronavirus disease 2019 (COVID-19) racial/ethnic disparities in the United States were limited to data from the initial few months of the pandemic, did not account for changes over time, and focused primarily on Black and Hispanic minority groups. To fill these gaps, we examined time trends in racial/ethnic disparities in COVID-19 infection and mortality. We used the Veteran Health Administration's (VHA) national database of veteran COVID-19 infections over three time periods: 3/1/2020-5/31/2020 (spring); 6/1/2020-8/31/2020 (summer); and 9/1/2020-11/25/2020 (fall). We calculated COVID-19 infection and mortality predicted probabilities from logistic regression models that included time period-by-race/ethnicity interaction terms, and controlled for age, gender, and prior diagnosis of CDC risk factors. Racial/ethnic groups at higher risk for COVID-19 infection and mortality changed over time. American Indian/Alaskan Natives (AI/AN), Blacks, Hispanics, and Native Hawaiians/Other Pacific Islanders experienced higher COVID-19 infections compared to Whites during the summertime. There were mortality disparities for Blacks in springtime, and AI/ANs, Asians, and Hispanics in summertime. Policy makers should consider the dynamic nature of racial/ethnic disparities as the pandemic evolves, and potential effects of risk mitigation and other (e.g., economic) policies on these disparities. Researchers should consider how trends in disparities change over time in other samples.

Mental Health and Medical Health Disparities in 5135 Transgender Veterans Receiving Healthcare in the Veterans Health Administration: A Case-Control Study.

PURPOSE: There are no large controlled studies of health disparities in transgender (TG) or gender dysphoric patients. The Veterans Health Administration (VHA) is the largest healthcare system in the United States and was an early adopter of electronic health records. We sought to determine whether medical and/or mental health disparities exist in VHA for clinically diagnosed TG veterans compared to matched veterans without a clinical diagnosis consistent with TG status. METHODS: Using four ICD-9-CM codes consistent with TG identification, a cohort of 5135 TG veterans treated in VHA between 1996 and 2013 was identified. Veterans without one of these diagnoses were matched 1:3 in a case-control design to determine if medical and/or mental health disparities exist in the TG veteran population. RESULTS: In 2013, the prevalence of TG veterans with a qualifying clinical diagnosis was 58/100,000 patients. Statistically significant disparities were present in the TG cohort for all 10 mental health conditions examined, including depression, suicidality, serious mental illnesses, and post-traumatic stress disorder. TG Veterans were more likely to have been homeless, to have reported sexual trauma while on active duty, and to have been incarcerated. Significant disparities in the prevalence of medical diagnoses for TG veterans were also detected for 16/17 diagnoses examined, with HIV disease representing the largest disparity between groups. CONCLUSION: This is the first study to examine a large cohort of clinically diagnosed TG patients for psychiatric and medical health outcome disparities using longitudinal, retrospective medical chart data with a matched control group. TG veterans were found to have global disparities in psychiatric and medical diagnoses compared to matched non-TG veterans. These findings have significant implications for policy, healthcare screening, and service delivery in VHA and potentially other healthcare systems.

Incidence of breast cancer in a cohort of 5,135 transgender veterans.

Transgender (TG) persons often receive, or self-treat, with cross-sex hormone (CSH) treatments as part of their treatment plans, with little known about their incidence of breast cancer. This information gap can lead to disparities in the provision of transgender health care. The purpose of the study was to examine the incidence of breast cancer in the largest North American sample of TG patients studied to date to determine their exposure to CSH, incidence of breast cancer, and to compare results with European studies in transsexual populations. We used Veterans Health Administration (VHA) data from 5,135 TG veterans in the United States from 1996 to 2013 to determine the incidence of breast cancer in this population. Chart reviews were completed on all patients who developed breast cancer. Age-standardized incidences of breast cancer from the general population were used for comparison. Person-years of exposure to known CSH treatment were calculated. Ten breast cancer cases were confirmed. Seven were in female-to-male patients, two in male-to-female patients, and one in a natal male with transvestic fetishism. Average age at diagnosis was 63.8 (SD = 8.2). 52 % received >1 dose of CSH treatment from VHA clinicians. All three males presented with late-stage disease were proved fatal. The overall incidence rate was 20.0/100,000 patient-years of VHA treatment (95 % CI 9.6-36.8), irrespective of VA CSH treatment. This rate did not differ from the expected rate in an age-standardized national sample, but exceeded that reported for smaller European studies of transsexual patients that were longer in duration. Although definitive conclusions cannot be made regarding breast cancer incidence in TG veterans who did or did not receive VA CSH due to the sample size and duration of observation, it appears that TG veterans do not display an increase in breast cancer incidence. This is consistent with European studies of longer duration that conclude that CSH treatment in gender dysphoric patients of either birth sex does not result in a greater incidence than the general population.

Health Correlates of Criminal Justice Involvement in 4,793 Transgender Veterans.

PURPOSE: Transgender (TG) persons are overrepresented in prison settings and in the U.S. veteran population. Health disparities studies of large populations of transgender people involved with the criminal justice system have not been published to date. METHODS: We studied a large cohort of TG veterans who received care in Veterans Health Administration (VHA) facilities during 2007-2013 (n = 4,793) and a 3:1 matched control group of veterans without known TG identification (n = 13,625). Three hundred twenty six (n = 138 TG, 188 non-TG) had received VHA services in programs designed to address the needs of justice involved (JI) veterans. We linked patients in each of the three groups to their medical and administrative data. RESULTS: TG veterans were more likely to be justice involved than controls (2.88% vs. 1.38%; P < .0001). Compared to non-TG JI veterans, TG JI veterans were more likely to have a history of homelessness (80% vs. 67%; P < .05) and to have reported sexual trauma while serving in the military (23% vs. 12%; P < .01). Significant health disparities were noted for TG JI veterans for depression, hypertension, obesity, posttraumatic stress disorder, serious mental illness, and suicidal ideation/attempts. CONCLUSION: These data suggest that TG veterans experience a number of health risks compared to non-TG veterans, including an increased likelihood of justice involvement. TG veterans involved with the criminal justice system are a particularly vulnerable group and services designed to address the health care needs of this population, both while incarcerated and when in the community, should take these findings into account in the development of health screenings and treatment plans.

Access to care for transgender veterans in the Veterans Health Administration: 2006-2013.

A 2011 Veterans Health Administration directive mandated medically necessary care for transgender veterans. Internal education efforts informed staff of the directive and promoted greater access to care. For fiscal years 2006 through 2013, we identified 2662 unique individuals with International Classification of Diseases, Ninth Revision diagnoses related to transgender status in Veterans Health Administration medical records, with 40% of new cases in the 2 years following the directive. A bottom-up push for services by veterans and top-down education likely worked synergistically to speed implementation of the new policy and increase access to care.

Mortality Among Veterans with Transgender-Related Diagnoses in the Veterans Health Administration, FY2000-2009.

PURPOSE: The aims of this project were to document all-cause and suicide mortality among Veteran Healthcare Administration (VHA) utilizers with The International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis consistent with transgender status. METHODS: The study population consisted of VHA patients identified as having any one of four diagnosis codes indicating transgender status (n=5,117) gathered from the VA National Patient Care Database. Mortality data were gathered from the National Death Index from 2000-2009 for 1,277 veterans with transgender-related ICD-9-CM diagnoses. The remaining 3,840 were not searched because they had VHA utilization after 2009 (indicating they were alive). Person-time at risk (person-years) for crude rates were calculated based on the time from an individual's index diagnosis to either death or the end of FY 2009. Causes of death were categorized using ICD-10 code groups. RESULTS: Approximately 9.3% (n=309) veterans with transgender-related ICD-9-CM diagnoses died across the study period. Although diseases of the circulatory system and neoplasms were the first and second leading causes of death, respectively, the other ranked causes of mortality differed somewhat from patterns for the US during the same time span. The crude suicide rate among veterans with transgender-related ICD-9-CM diagnoses across the 10-year period was approximately 82/100,000 person-years, which approximated the crude suicide death rates for other serious mental illness in VHA (e.g., depression, schizophrenia). The average age of suicide decedents was 49.4 years. CONCLUSION: The crude suicide rate among veterans with transgender-related ICD-9-CM diagnoses is higher than in the general population, and they may be dying by suicide at younger ages than their veteran peers without transgender-related ICD-9-CM diagnoses. Future research, such as age-adjusted rates or accounting for psychiatric co-morbidities, will help to better clarify if the all-cause and suicide mortality rates are elevated for veterans with transgender-related ICD-9-CM diagnoses.

HIV prevention for black men who have sex with men in the United States.

The HIV/AIDS epidemic has exacted a devastating toll upon Black men who have sex with men (MSM) in the United States, and there is a tremendous need to escalate HIV-prevention efforts for this population. The social context in which Black MSM experience the impact of racism and heterosexism strongly affects their risk for HIV infection; thus, HIV-prevention research focused on Black MSM should focus on contextual and structural factors. There is a pronounced lack of community-level HIV-intervention research for Black MSM, but effective preliminary strategies involve adapting existing effective models and tailoring them to the needs of Black MSM. Future research should develop new, innovative approaches, especially structural interventions, that are specifically targeted toward HIV prevention among Black MSM.

Accessing social networks with high rates of undiagnosed HIV infection: The social networks demonstration project.

OBJECTIVES: We evaluated the use of social networks to reach persons with undiagnosed HIV infection in ethnic minority communities and link them to medical care and HIV prevention services. METHODS: Nine community-based organizations in 7 cities received funding from the Centers for Disease Control and Prevention to enlist HIV-positive persons to refer others from their social, sexual, or drug-using networks for HIV testing; to provide HIV counseling, testing, and referral services; and to link HIV-positive and high-risk HIV-negative persons to appropriate medical care and prevention services. RESULTS: From October 1, 2003, to December 31, 2005, 422 recruiters referred 3172 of their peers for HIV services, of whom 177 were determined to be HIV positive; 63% of those who were HIV-positive were successfully linked to medical care and prevention services. The HIV prevalence of 5.6% among those recruited in this project was significantly higher than the approximately 1% identified in other counseling, testing, and referral sites funded by the Centers for Disease Control and Prevention. CONCLUSIONS: This peer-driven approach is highly effective and can help programs identify persons with undiagnosed HIV infection in high-risk networks.

Evaluation of an HIV prevention intervention adapted for Black men who have sex with men.

OBJECTIVES: We assessed the efficacy of an HIV behavioral intervention adapted for Black men who have sex with men (MSM). METHODS: We conducted serial cross-sectional surveys, 1 baseline measurement followed by initiation of an intervention and 3 follow-up measurements, among Black MSM in 3 North Carolina cities over 1 year. RESULTS: We observed significant decreases in unprotected receptive anal intercourse at 4 months (by 23.8%, n=287) and 8 months (by 24.7%, n=299), and in unprotected insertive anal intercourse (by 35.2%), unprotected receptive anal intercourse (by 44.1%), and any unprotected anal intercourse (by 31.8%) at 12 months (n=268). Additionally, at 12 months, the mean number of partners for unprotected receptive anal intercourse decreased by 40.5%. The mean number of episodes decreased by 53.0% for unprotected insertive anal intercourse, and by 56.8% for unprotected receptive anal intercourse. The percentage of respondents reporting always using condoms for insertive and receptive anal intercourse increased by 23.0% and 30.3%, respectively. CONCLUSIONS: Adapting previously proven interventions designed for other MSM can significantly reduce HIV risk behaviors of Black MSM.