An Exploration of Geographic Access to Substance Use Treatment Programs and Violence Against Women.

Violence against women (VAW) is a significant public health and human rights issue, with an estimated 736 million women globally experiencing VAW. Consistent evidence demonstrates that substance use is associated with VAW and that participation in substance use treatment programs is associated with reduction in substance use-related violence. While evidence demonstrates the ability to address VAW through substance use treatment programs, less attention has been paid to geographic access to substance use programs. If these programs are geographically inaccessible, particularly to marginalized populations, many people will not get the help they need. This study seeks to explore the relationship between geographic access to substance use treatment programs on VAW. Using data from the HIV Prevention Trials Network (HPTN) 064 study, longitudinal multilevel models were used to assess the relationship between neighborhood-level social determinants, with a specific focus on geographic access to Substance Abuse and Mental Health Services Administration (SAMHSA) certified drug and alcohol treatment programs and VAW. The study included 1910 women, ages 18 to 44, living in select geographic areas with high-ranked prevalence of HIV and poverty. The findings of this study indicate that among women who reside in census tracts with high prevalence rates of HIV: (1) substance use increases VAW; (2) VAW decreases as geographic access to SAMHSA-certified drug and alcohol treatment facilities increases; and (3) when looking at specific types of VAW, emotional and physical abuse decreases as geographic access to substance use treatment increases. Policies and programs to increase access to substance use treatment should be explored and evaluated, and more programs are needed that address the intersectionality of substance use and VAW.

Missed Opportunities: Substance Use Hotline Operator Uncertainty of State Buprenorphine Prescribing via Telemedicine.

OBJECTIVES: We examined substance use hotline operator certainty of each US state and Washington, DC's endorsement of buprenorphine (initiation and continuation) prescribing via telemedicine. METHODS: Between March and May 2021, we called hotlines in 50 US states and Washington, DC, requesting information on whether practitioners in that state could initiate or continue buprenorphine treatment for opioid use disorder (OUD) via telephone or video conference. We compared operator responses to state implementation of buprenorphine telemedicine initiation. This study was designated as not human subjects research by the Boston University Institutional Review Board. RESULTS: We spoke with operators in 47 states and Washington, DC. Operators could not be reached in Alaska, California, and Montana. Most operators were uncertain (don't know, probably yes, probably no) whether the state permitted buprenorphine initiation (81%, n = 39) or continuation (83%, n = 40) via telemedicine. Practitioners could initiate buprenorphine prescribing via telemedicine in 7 states (100%) where operators were certain practitioners could initiate buprenorphine, 1 state (100%) where the operator was certain practitioners could not, and 6 states (86%) where operators indicated practitioners probably could not. CONCLUSIONS: Most US states and Washington, DC, expanded the role of telemedicine in OUD treatment. However, most operators expressed uncertainty and sometimes communicated inaccurate information regarding whether practitioners could initiate buprenorphine treatment via telemedicine. There is an urgent need for policy mandates institutionalizing the role of telemedicine, and of buprenorphine specifically, in OUD treatment and for resources to train and support substance use hotline operators in this evolving policy environment.

Accuracy Differences in Cannabis Retailer Information Ascertained from Webservices and Government-Maintained State Registries Across US States Legalizing the Sale of Cannabis in 2019.

Cannabis retailer locations used to investigate geographic cannabis access are frequently ascertained from two sources: 1) webservices which provide locations of cannabis retailers (e.g., Yelp) or 2) government-maintained registries. Characterizing the operating status and location information accuracy of cannabis retailer data sources on a state-by-state level can inform research examining the health implications of cannabis legalization policies. This study ascertained cannabis retailer name and location from webservices and government-maintained registries for 26 states and the District of Columbia legalizing cannabis sales in 2019. Validation subsamples were created using state-level sequential sampling. Phone surveys were conducted by trained researchers for webservice samples (n=790, November 2019 - May 2020) and government-maintained registry (n=859, February - June 2020) to ascertain information about operating status and location. Accuracy was calculated as the percent agreement among subsample and phone survey data. For operating status and location, webservice derived data was 78% (614/790) and 79% (484/611) accurate, whereas government-maintained registry derived data was 76% (657/859) and 95% (622/655) accurate, respectively. Fifty-nine percent (15/27) of states and the District of Columbia had over 80% accuracy for operating status and 48% (13/27) states had over 80% accuracy for location information with both data sources. However, government-maintained registry derived information was more accurate in 33% (9/27) states for operating status and 41% (11/27) states for location information. Both data sources had similar operating status accuracy. Research using spatial analysis may prefer government-maintained registry derived data due to high location information accuracy, whereas studies looking at broad trends across states may prefer webservice derived. State level COVID-19 restrictions had minimal impact on ascertainment of cannabis retailer operating status and location information via phone survey derived from webservices and government-maintained registries.

Health Insurance and Initiation of Direct-Acting Antivirals for Hepatitis C in US Women With Human Immunodeficiency Virus.

BACKGROUND: Direct-acting antiviral (DAA) therapy for hepatitis C virus (HCV) is well tolerated, cost-effective, and yields high sustained virologic response rates, yet it has remained financially inaccessible to many patients. METHODS: Participants of the Women's Interagency HIV Study (an observational US cohort) with human immunodeficiency virus (HIV) and HCV (RNA+) reporting no prior hepatitis C treatment were followed for DAA initiation (2015-2019). We estimated risk ratios (RRs) of the relationship between time-varying health insurance status and DAA initiation, adjusting for confounders with stabilized inverse probability weights. We also estimated weighted cumulative incidences of DAA initiation by health insurance status. RESULTS: A total of 139 women (74% Black) were included; at baseline, the median age was 55 years and 86% were insured. Most had annual household incomes ≤$18 000 (85%); advanced liver fibrosis (21%), alcohol use (45%), and recreational drug use (35%) were common. Across 439 subsequent semiannual visits, 88 women (63%) reported DAA initiation. Compared with no health insurance, health insurance increased the likelihood of reporting DAA initiation at a given visit (RR, 4.94; 95% confidence limit [CL], 1.92 to 12.8). At 2 years, the weighted cumulative incidence of DAA initiation was higher among the insured (51.2%; 95% CL, 43.3% to 60.6%) than the uninsured (3.5%; 95% CL, 0.8% to 14.6%). CONCLUSIONS: Accounting for clinical, behavioral, and sociodemographic factors over time, health insurance had a substantial positive effect on DAA initiation. Interventions to increase insurance coverage should be prioritized to increase HCV curative therapy uptake for persons with HIV.

Medicaid expansion and opioid overdose mortality among socioeconomically disadvantaged populations in the US: A difference in differences analysis.

BACKGROUND: Opioid-related overdoses are a major cause of mortality in the US. Medicaid Expansion is posited to reduce opioid overdose-related mortality (OORM), and may have a particularly strong effect among people of lower socioeconomic status. This study assessed the association between state Medicaid Expansion and county-level OORM rates among individuals with low educational attainment. METHODS: This quasi-experimental study used lagged multilevel difference-in-difference models to test the relationship of state Medicaid Expansion to county-level OORM rates among people with a high-school diploma or less. Longitudinal (2008-2018) OORM data on 2978 counties nested in 48 states and the District of Columbia (DC) were drawn from the National Center for Health Statistics. The state-level exposure was a time-varying binary-coded variable capturing pre- and post-Medicaid Expansion under the Affordable Care Act (an "on switch"-type variable). The main outcome was annual county-level OORM rates among low-education adults adjusted for potential underreporting of OORM. FINDINGS: The adjusted county-level OORM rates per 100,000 among the study population rose on average from 10.26 (SD = 13.56) in 2008-14.51 (SD = 18.20) in 2018. In the 1-year lagged multivariable model that controlled for policy and sociodemographic covariates, the association between state Medicaid Expansion and county-level OORM rates was statistically insignificant. CONCLUSIONS: We found no evidence that expanding Medicaid eligibility reduced OORM rates among adults with lower educational attainment. Future work should seek to corroborate our findings and also identify - and repair - breakdowns in mechanisms that should link Medicaid Expansion to reduced overdoses.

Associations between population density and clinical and sociodemographic factors in women living with HIV in the Southern United States.

To explore the associations of urbanicity with clinical/behavioral outcomes and sociodemographic factors among women living with HIV in the Southern United States, 523 participants of the Women's Interagency HIV Study were classified into population density quartiles. Rural-Urban Commuting Area codes revealed that 7% resided in areas where >30% commute to urban areas, 2% resided in small towns or rural areas, and 91% resided in varying densities of urban areas. Although women in lower density, mostly suburban areas reported higher socioeconomic indicators such as advanced education and greater annual household income, larger proportions of women in the lowest density quartile perceived discrimination in health care settings and agreed with several internalized HIV stigma scale items. Women in the lower quartiles had higher CD4 counts, while those in the lowest quartile were more likely to have a suppressed HIV viral load, report being employed, and not report a history of drug use or current heavy alcohol use. More research is needed to understand the interplay between population density and mechanisms contributing to HIV control as well as increased internalized stigma and perceived discrimination, along with how to target interventions to improve outcomes for individuals with HIV across urban, suburban, and rural areas.

Direct-Acting Antiviral Hepatitis C Treatment Cascade and Barriers to Treatment Initiation Among US Men and Women With and Without HIV.

BACKGROUND: People with HIV are disproportionately coinfected with hepatitis C virus (HCV) and experience accelerated liver-related mortality. Direct-acting antivirals (DAAs) yield high sustained virologic response (SVR) rates, but uptake is suboptimal. This study characterizes the DAA-era HCV treatment cascade and barriers among US men and women with or at risk for HIV. METHODS: We constructed HCV treatment cascades using the Women's Interagency HIV Study (women, 6 visits, 2015-2018, n = 2447) and Multicenter AIDS Cohort Study (men, 1 visit, 2015-2018, n = 2221). Cascades included treatment-eligible individuals (ie, HCV RNA-positive or reported DAAs). Surveys captured self-reported clinical (eg, CD4), patient (eg, missed visits), system (eg, appointment access), and financial/insurance barriers. RESULTS: Of 323/92 (women/men) treatment eligible, most had HIV (77%/70%); 69%/63% were black. HIV-positive women were more likely to attain cascade outcomes than HIV-negative women (39% vs 23% initiated, 21% vs 12% SVR); similar discrepancies were noted for men. Black men and substance users were treated less often. Women initiating treatment (vs not) reported fewer patient barriers (14%/33%). Among men not treated, clinical barriers were prevalent (53%). CONCLUSIONS: HIV care may facilitate HCV treatment linkage and barrier navigation. HIV-negative individuals, black men, and substance users may need additional support. CLINICAL TRIALS REGISTRATION: NCT00000797 (Women's Interagency HIV Study); NCT00046280 (Multicenter AIDS Cohort Study).

Measuring small-area violent crime: a comparison of observed versus model-estimated crime rates and preterm birth.

PURPOSE: Research examining the association between crime and health outcomes has been hampered by a lack of reliable small-area (e.g., census tract or census block group) crime data. Our objective is to assess the accuracy of synthetically estimated crime indices for use in health research by using preterm birth as a case study. METHODS: We used violent crime data reported by 47 law enforcement agencies in 15 counties in Atlanta, Georgia and compared them with commercially estimated crime rates from the same year to assess (1) how two measures of crime were correlated and (2) if the associations between violent crime rate indices and preterm birth (PTB) varied as a function of the source of crime index. To assess the association between violent crime and PTB, we used multilevel logistic regression and controlled for potential individual- and neighborhood-level confounders. RESULTS: Violent crime, both estimated and observed, was positively correlated with poverty, neighborhood proportion Black, and neighborhood deprivation index; however, the association was stronger using estimated rates as compared with observed crime rates. The association between living in a high violent crime neighborhood and PTB was only consistent for white women across the two crime indices after covariate adjustment. For Black women, the association between living in a high violent crime neighborhood and PTB is systematically underestimated across all models when the estimated crime rate is used. CONCLUSIONS: There is evidence that model-estimated crime rates are not reliable proxies for crime in an urban area even when appropriate confounders are adjusted for.

Building Partnerships and Stakeholder Relationships for HIV Prevention: Longitudinal Cohort Study Focuses on Community Engagement.

BACKGROUND: African American women bear disproportionate human immunodeficiency virus (HIV) burden in the United States, yet are often underrepresented in clinical research. Community engagement may decrease research mistrust and increase participation. We describe strategies used to engage community partners and female participants in a multisite HIV incidence study, HIV Prevention Trials Network (HPTN) 064. OBJECTIVES: HPTN 064 assessed HIV incidence among women in 10 geographic areas chosen for both high prevalence of HIV and poverty. METHODS: Women were recruited using venue-based sampling and followed for six to 12 months. Recruitment and engagement approaches aligned with the National Institutes of Health (NIH) Director's Council of Public Representatives (COPR) Community Engagement Framework's. RESULTS: Results showed engagement activities increased rapport and established new partnerships with community stakeholders. Study sites engaged 56 community organizations with 2,099 women enrolled in 14 months. Final retention was 94%. CONCLUSIONS: The COPR model maximized inclusiveness and participation of African American women impacted by HIV, supported recruitment and retention, and was the cornerstone of community engagement.

The Relationship Between Economic Deprivation, Housing Instability and Transactional Sex Among Women in North Carolina (HPTN 064).

Transactional sex is associated with socioeconomic disadvantage and HIV risk but few studies in the United States (US) have examined both individual and area-level predictors of transactional sex or distinguished transactional sex from sex work. We combined data from HIV Prevention Trials Network 064 study and the US Census to estimate prevalence ratios (PR) for the relationship between census-level and individual measures of economic deprivation and housing instability on transactional sex in 417 women in North Carolina. Increased transactional sex was associated with food insecurity (PR 1.86; 95%; CI 1.57, 2.19), housing instability (PR 1.33; 95% CI 1.11, 1.59), substance abuse (PR 1.90; 95% CI 1.64, 2.19) and partner incarceration (PR 1.32; 95% CI 1.09, 1.61). Census-level indicators were not associated with transactional sex, adjusted for individual-level covariates. Interventions should support housing stability and financial opportunities among southern African American women to reduce HIV risk, particularly among women with incarcerated partners.

Associations between county-level voter turnout, county-level felony voter disenfranchisement, and sexually transmitted infections among women in the Southern United States.

PURPOSE: Voting may play a critical role in the allocation of social and structural resources to communities, which in turn shapes neighborhood environments, and ultimately, an individual's sexually transmitted infection (STI) risk. We assessed relationships among county-level voter turnout and felony voter disenfranchisement, and STIs. METHODS: This cross-sectional multilevel analysis included 666 women in Alabama, Florida, Georgia, Mississippi, and North Carolina enrolled in the Women's Interagency HIV Study between 2013 and 2015. Having a baseline bacterial STI (chlamydia, gonorrhea, trichomoniasis, or early syphilis) was determined by laboratory testing. We used generalized estimating equations to test relationships between county-level voter turnout in the 2012 general election, county-level percentage of felony disenfranchised voters, and STI prevalence. RESULTS: Eleven percent of participants had an STI. Higher voter turnout corresponded to lower STI prevalence (prevalence ratio = 0.84, 95% confidence interval = 0.73-0.96 per 4 percentage point higher turnout). Greater felony voter disenfranchisement corresponded to higher STI prevalence (prevalence ratio = 1.89, 95% confidence interval = 1.10-3.24 per 4 percentage point higher disenfranchisement). CONCLUSIONS: STI prevalence was inversely associated with voter turnout and positively associated with felony voter disenfranchisement. Research should assess causality and mechanisms through which civic engagement shapes sexual health. Expanding political participation, including eliminating discriminatory voting laws, could influence sexual health.

HIV Risk Characteristics Associated with Violence Against Women: A Longitudinal Study Among Women in the United States.

BACKGROUND: Using data from HIV Prevention Trials Network 064, a multisite, observational cohort study conducted to estimate HIV incidence rates among women living in areas of high poverty and HIV prevalence in the United States, we examined the use of HIV risk characteristics to predict emotional abuse, physical violence, and forced sex. METHODS: Participants included 2099 women, 18-44 years of age, who reported unprotected vaginal or anal sex with a male partner and an additional personal or perceived male partner HIV risk characteristic in the past 6 months. Adjusting for time-varying covariates, generalized estimating equations were used to assess the ability of HIV risk characteristics to predict violence 6 months later. RESULTS: Reported analyses were limited to the 1980 study participants who reported having a male sex partner at that assessment. Exchanging sex, perceived partner concurrency, and perceived partner incarceration were significantly predictive of emotional abuse 6 months later (adjusted odds ratio [AOR]: 1.60; 1.59; 1.34, respectively). Prior sexually transmitted infection diagnosis, exchanging sex, and binge drinking were significantly predictive of physical violence 6 months later (AOR: 1.62; 1.71; 1.47, respectively). None of the variables measured was significantly predictive of forced sex. CONCLUSIONS: Strategies that address reducing violence against women should be studied further in the context of HIV prevention programs.

Associations Between Neighborhood Characteristics, Social Cohesion, and Perceived Sex Partner Risk and Non-Monogamy Among HIV-Seropositive and HIV-Seronegative Women in the Southern U.S.

Neighborhood social and physical factors shape sexual network characteristics in HIV-seronegative adults in the U.S. This multilevel analysis evaluated whether these relationships also exist in a predominantly HIV-seropositive cohort of women. This cross-sectional multilevel analysis included data from 734 women enrolled in the Women's Interagency HIV Study's sites in the U.S. South. Census tract-level contextual data captured socioeconomic disadvantage (e.g., tract poverty), number of alcohol outlets, and number of non-profits in the census tracts where women lived; participant-level data, including perceived neighborhood cohesion, were gathered via survey. We used hierarchical generalized linear models to evaluate relationships between tract characteristics and two outcomes: perceived main sex partner risk level (e.g., partner substance use) and perceived main sex partner non-monogamy. We tested whether these relationships varied by women's HIV status. Greater tract-level socioeconomic disadvantage was associated with greater sex partner risk (OR 1.29, 95% CI 1.06-1.58) among HIV-seropositive women and less partner non-monogamy among HIV-seronegative women (OR 0.69, 95% CI 0.51-0.92). Perceived neighborhood trust and cohesion was associated with lower partner risk (OR 0.83, 95% CI 0.69-1.00) for HIV-seropositive and HIV-seronegative women. The tract-level number of alcohol outlets and non-profits were not associated with partner risk characteristics. Neighborhood characteristics are associated with perceived sex partner risk and non-monogamy among women in the South; these relationships vary by HIV status. Future studies should examine causal relationships and explore the pathways through which neighborhoods influence partner selection and risk characteristics.

Neighborhood Health Care Access and Sexually Transmitted Infections Among Women in the Southern United States: A Cross-Sectional Multilevel Analysis.

INTRODUCTION: The United States has experienced an increase in reportable sexually transmitted infections (STIs) while simultaneously experiencing a decline in safety net services for STI testing and treatment. This multilevel study assessed relationships between neighborhood-level access to health care and STIs among a predominantly Human Immunodeficiency Virus (HIV)-seropositive cohort of women living in the south. METHODS: This cross-sectional multilevel analysis included baseline data from HIV-seropositive and HIV-seronegative women enrolled in the Women's Interagency HIV Study sites in Alabama, Florida, Georgia, Mississippi, and North Carolina between 2013 and 2015 (N = 666). Administrative data (eg, United States Census) described health care access (eg, percentage of residents with a primary care provider, percentage of residents with health insurance) in the census tracts where women lived. Sexually transmitted infections (chlamydia, gonorrhea, trichomoniasis, or early syphilis) were diagnosed using laboratory testing. Generalized estimating equations were used to determine relationships between tract-level characteristics and STIs. Analyses were conducted using SAS 9.4. RESULTS: Seventy percent of participants were HIV-seropositive. Eleven percent of participants had an STI. A 4-unit increase in the percentage of residents with a primary care provider was associated with 39% lower STI risk (risk ratio, 0.61, 95% confidence interval, 0.38-0.99). The percentage of tract residents with health insurance was not associated with STIs (risk ratio, 0.98, 95% confidence interval, 0.91-1.05). Relationships did not vary by HIV status. CONCLUSIONS: Greater neighborhood health care access was associated with fewer STIs. Research should establish the causality of this relationship and pathways through which neighborhood health care access influences STIs. Structural interventions and programs increasing linkage to care may reduce STIs.

Social causation and neighborhood selection underlie associations of neighborhood factors with illicit drug-using social networks and illicit drug use among adults relocated from public housing.

Theories of social causation and social influence, which posit that neighborhood and social network characteristics are distal causes of substance use, are frequently used to interpret associations among neighborhood characteristics, social network characteristics and substance use. These associations are also hypothesized to result from selection processes, in which substance use determines where people live and who they interact with. The potential for these competing selection mechanisms to co-occur has been underexplored among adults. This study utilizes path analysis to determine the paths that relate census tract characteristics (e.g., economic deprivation), social network characteristics (i.e., having ≥ 1 illicit drug-using network member) and illicit drug use, among 172 African American adults relocated from public housing in Atlanta, Georgia and followed from 2009 to 2014 (7 waves). Individual and network-level characteristics were captured using surveys. Census tract characteristics were created using administrative data. Waves 1 (pre-relocation), 2 (1st wave post-relocation), and 7 were analyzed. When controlling for individual-level sociodemographic factors, residing in census tracts with prior economic disadvantage was significantly associated with illicit drug use at wave 1; illicit drug use at wave 1 was significantly associated with living in economically-disadvantaged census tracts at wave 2; and violent crime at wave 2 was associated with illicit drug-using social network members at wave 7. Findings from this study support theories that describe social causation and neighborhood selection processes as explaining relationships of neighborhood characteristics with illicit drug use and illicit drug-using social networks. Policies that improve local economic and social conditions of neighborhoods may discourage substance use. Future studies should further identify the barriers that prevent substance users from obtaining housing in less disadvantaged neighborhoods.

Associations between neighborhood characteristics and sexual risk behaviors among HIV-infected and HIV-uninfected women in the southern United States.

PURPOSE: Neighborhood characteristics shape sexual risk in HIV-uninfected adults in the United States (US). We assess relationships between census tract characteristics and sexual risk behaviors in a predominantly HIV-infected cohort of women living in the Southern US. METHODS: This cross-sectional multilevel analysis included data from 737 HIV-infected and HIV-uninfected women enrolled in the Women's Interagency HIV Study. Administrative data captured characteristics of census tracts where women lived; participant-level data were gathered via survey. We used principal components analysis to condense tract-level variables into components: social disorder (e.g., violent crime rate), and social disadvantage (e.g., alcohol outlet density). We used hierarchical generalized linear models to assess relationships between tract-level characteristics and condomless vaginal intercourse, anal intercourse, and condomless anal intercourse. RESULTS: Greater social disorder was associated with less anal intercourse (OR = 0.63, 95% CI = 0.43-0.94) and condomless anal intercourse (OR = 0.49, 95% CI = 0.30-0.80), regardless of HIV status. There were no statistically significant additive or multiplicative interactions between tract characteristics and HIV status. CONCLUSIONS: Neighborhood characteristics are associated with sexual risk behaviors among women living in the Southern US, these relationships do not vary by HIV status. Future studies should establish temporality and explore the causal pathways through which neighborhoods influence sexual risk.

Relationships between neighbourhood characteristics and current STI status among HIV-infected and HIV-uninfected women living in the Southern USA: a cross-sectional multilevel analysis.

OBJECTIVES: Neighbourhood characteristics (eg, high poverty rates) are associated with STIs among HIV-uninfected women in the USA. However, no multilevel analyses investigating the associations between neighbourhood exposures and STIs have explored these relationships among women living with HIV infection. The objectives of this study were to: (1) examine relationships between neighbourhood characteristics and current STI status and (2) investigate whether the magnitudes and directions of these relationships varied by HIV status in a predominantly HIV-infected cohort of women living in the Southern USA. METHODS: This cross-sectional multilevel analysis tests relationships between census tract characteristics and current STI status using data from 737 women enrolled at the Women's Interagency HIV Study's southern sites (530 HIV-infected and 207 HIV-uninfected women). Administrative data (eg, US Census) described the census tract-level social disorder (eg, violent crime rate) and social disadvantage (eg, alcohol outlet density) where women lived. Participant-level data were gathered via survey. Testing positive for a current STI was defined as a laboratory-confirmed diagnosis of chlamydia, gonorrhoea, trichomoniasis or syphilis. Hierarchical generalised linear models were used to determine relationships between tract-level characteristics and current STI status, and to test whether these relationships varied by HIV status. RESULTS: Eleven per cent of participants tested positive for at least one current STI. Greater tract-level social disorder (OR=1.34, 95% CI 0.99 to 1.87) and social disadvantage (OR=1.34, 95% CI 0.96 to 1.86) were associated with having a current STI. There was no evidence of additive or multiplicative interaction between tract-level characteristics and HIV status. CONCLUSIONS: Findings suggest that neighbourhood characteristics may be associated with current STIs among women living in the South, and that relationships do not vary by HIV status. Future research should establish the temporality of these relationships and explore pathways through which neighbourhoods create vulnerability to STIs. TRIAL REGISTRATION NUMBER: NCT00000797; results.

Public Housing Relocations and Relationships of Changes in Neighborhood Disadvantage and Transportation Access to Unmet Need for Medical Care.

INTRODUCTION: Cross-sectional research suggests that neighborhood characteristics and transportation access shape unmet need for medical care. This longitudinal analysis explores relationships of changes in neighborhood socioeconomic disadvantage and trans- portation access to unmet need for medical care. METHODS: We analyzed seven waves of data from African American adults (N = 172) relocating from severely distressed public housing complexes in Atlanta, Georgia. Surveys yielded individual-level data and admin- istrative data characterized census tracts. We used hierarchical generalized linear models to explore relationships. RESULTS: Unmet need declined from 25% pre-relocation to 12% at Wave 7. Post-relocation reductions in neighborhood disadvantage were inversely associated with reductions in unmet need over time (OR = 0.71, 95% CI = 0.51-0.99). More frequent transportation barriers predicted unmet need (OR = 1.16, 95% CI = 1.02-1.31). CONCLUSION: These longitudinal findings support the importance of neighborhood environments and transportation access in shaping unmet need and suggest that improvements in these exposures reduce unmet need for medical care in this vulnerable population.