Development of A Rural-Urban Classification System for Public Health Research that Accommodates Structural Differences Between States.

Rural environments in the United States present challenges to wellness, but there is a lack of tools to categorize rurality at the subcounty level. The most common tool, the FDA's 2010 RUCA codes, uses data that are over a decade old and cannot accommodate regional differences in rurality. The purpose of this study was to develop a census-tract classification system of rurality and demonstrate its use in describing HIV outcomes. We transformed census-tract measures (population density, natural resource workforce, walkability index, household type, and air quality) into local scales of rurality using factor analysis. We surveyed public health practitioners to determine cut-points and compared the resulting categorization to RUCA codes. We described the incidence of HIV in WA by rural category. Our classification system categorized 25% of census tracts as rural, 19% as periurban and 56% as urban. Our survey yielded cut-offs that were more conservative in categorizing areas urban than RUCA codes. The rate of HIV diagnosis was substantially higher in urban areas. Our rural-urban classification system offers an alternative to RUCA codes that is more responsive to regional differences.

Impact of COVID-19 on People Living With HIV: Data From Five Medical Monitoring Project Sites, 2020-2022.

BACKGROUND: The COVID-19 pandemic disrupted global economic and healthcare systems. People living with HIV (PLWH) represent a marginalized and stigmatized population who may have been particularly impacted. The purpose of this analysis was to describe the impact of the COVID-19 pandemic on PLWH in the United States. SETTING: United States. METHODS: We analyzed surveys of behavioral and clinical characteristics of PLWH residing in 5 states that participated in the Medical Monitoring Project between 2020 and 2022. We described the impact of COVID-19 illness, testing, and diagnoses; receipt of medical care; social service access; employment; and preventive measures by project site and demographic characteristics. RESULTS: Unweighted data from 1715 PLWH were analyzed. A high proportion of PLWH had medical care disrupted by the pandemic; 31% of PLWH missed medical appointments, 26% missed routine laboratory test results, and 7% missed antiretroviral therapy doses. In total, 30% of PLWH reported losing wages and 19% reported difficulty in accessing social services. Overall, 88% reported receiving at least 1 dose of COVID-19 vaccine, but vaccine uptake was low among younger, Black, and Hispanic or Latina/o/x PLWH. CONCLUSIONS: This descriptive analysis reinforces previous findings that show that COVID-19 negatively impacted PLWH and their ability to obtain medical care. Additional efforts will be critical to ameliorating the longer-term impacts of COVID-19 on the health of PLWH and supporting PLWH through future pandemics and healthcare system disruptions.

Cost Analysis of Implementing a 12-Month Recertification Criterion for Ryan White HIV/AIDS Program's AIDS Drug Assistance Program in Washington State.

OBJECTIVE: AIDS Drug Assistance Programs (ADAPs) are state-administered programs that pay for medical care and medication for people living with HIV (PLWH) in the United States. In October 2021, the federal policy requiring that clients recertify for the program every 6 months was repealed, giving states the authority to set their own recertification policies. However, little data exist on the costs and health effects of alternative recertification schedules. We assessed the cost of changing the legacy 6-month recertification to a 12-month schedule in Washington State to inform policy decisions on recertification. METHODS: We used a Markov model to simulate the population of PLWH in Washington State who are eligible or enrolled in ADAP. We obtained model inputs and validation data from the Washington State Ryan White database. We estimated the cost of 12-month and 6-month criteria over a 5-year time horizon. Model outputs included annual program costs, population sizes, and number of people virally suppressed, by scenario. RESULTS: Under a continuation of the legacy 6-month recertification criteria, the annual cost of Washington ADAP would be $37 663 000 (95% CI, $34 570 000-$41 686 000) during the next 5 years, with a per-client cost of $7966 (95% CI, $7478-$8494). Under 12-month criteria, the annual cost would be $40 217 000 (95% CI, $36 243 000-$44 401 000) and the per-client cost would be $7543 (95% CI, $7084-$8042). Under the 12-month scenario, 245 more people will have been virally suppressed by the end of 2025. CONCLUSIONS: Switching to a less frequent recertification process may improve health outcomes at a modest increase in cost in Washington State.

Associations between adverse childhood experiences, viral suppression, and quality of life among persons living with HIV in Washington state.

Adverse childhood experiences (ACEs) have been linked to numerous negative health outcomes in adulthood and have been recognized as a hurdle to participating in HIV care. However, few studies have examined the cumulative impact that different types of childhood trauma have on HIV care engagement and HIV outcomes. This study characterized the relationship between ACEs, viral suppression, and health-related quality of life (HRQOL) among persons living with HIV (PLWH). We used HIV surveillance data and self-reported information on ACEs and HRQOL from PLWH in Washington State from 2018-2020. Logistic regression was used to assess the relationship between the quantity and type of ACEs and viral suppression. We used Poisson regression to examine the relationship between ACEs and HRQOL as measured by unhealthy days. The majority of PLWH experienced ≥1 ACE (86.8%). ACEs were not significantly associated with the likelihood of viral suppression (OR ≥4 vs 0 ACEs: 0.49, 95% CI: 0.12-2.09), but ACEs were associated with more unhealthy days experienced in a 30-day period (RR ≥4 vs 0 ACEs: 3.19, 95% CI: 1.59-6.40). These findings provide support that trauma is common among PLWH, and efforts to address the impact of childhood trauma may work to improve quality of life.

Evaluating surveillance definitions of HIV viral suppression 2015-2019: Which definition best detected barriers to care?

Background: People living with HIV (PLWH) who have not achieved or maintained viral suppression post-diagnosis likely face multiple barriers to HIV care. To identify these barriers a universally accepted definition of viral suppression is needed. The most common definition, the Center for Disease Control and Prevention (CDC) definition, contains simplifying assumptions that may misclassify individuals and attenuate associations. In this study, we evaluated alternative definitions of viral suppression on their ability to identify barriers to care. Design and methods: We used HIV surveillance data to classify participants of the 2015-2019 Washington Medical Monitoring Project (MMP) as virally suppressed or not using the CDC definition and two definitions that assess viral suppression over a longer period ("Enriched" and "Durable"). We identified barriers to suppression from literature (unstable housing, illicit drug use, poor mental health, heavy drinking, recent incarceration, racism, and poverty) and measured them using interview questions from MMP. We compared the rate ratios (RR) of being not virally suppressed using each definition for each barrier. Results: There were 858 PLWH in our study. All viral suppression definitions classified a similar proportion of people as suppressed (85%-89%). The durable viral suppression definition consistently yielded the largest rate ratios (e.g. unstable housing: CDC RR = 1.3, 95% CI 0.9-1.8; Enriched 1.5, 95% CI 1.0-2.2; Durable 2.2, 95% CI 1.6-3.1) and reclassified 10% of the population relative to the CDC definition. Conclusions: Longitudinal definitions for viral suppression may yield less misclassification and serve as superior tools for identifying and curtailing barriers to HIV care.

AIDS Drug Assistance Program disenrollment is associated with loss of viral suppression beyond differences in homelessness, mental health, and substance use disorders: An evaluation in Washington state 2017-2019.

AIDS Drug Assistance Programs (ADAPs) are state-administered programs that pay for medical care for people living with HIV in the US. Maintaining enrollment in the programs is challenging, and a large proportion of clients in Washington state (WA) fail to recertify and are disenrolled. In this study we sought to quantify the impact of disenrollment from ADAPs on viral suppression. We conducted a retrospective cohort study of the 5238 clients in WA ADAP from 2017 to 2019 and estimated the risk difference (RD) of viral suppression before and after disenrollment. We performed a quantitative bias analysis (QBA) to assess the effect of unmeasured confounders, as the factors that contribute to disenrollment and medication discontinuation may overlap. Of the 1336 ADAP clients who disenrolled ≥1 time, 83% were virally suppressed before disenrollment versus 69% after (RD 12%, 95%CI 9-15%). The RD was highest among clients with dual Medicaid-Medicare insurance (RD 22%, 95%CI 9-35%) and lowest among privately insured individuals (RD 8%, 95%CI 5-12%). The results of the QBA suggest that unmeasured confounders do not negate the overall RD. The ADAP recertification procedures negatively impact the care of clients who struggle to stay in the program; alternative procedures may reduce this impact.

Direct and Indirect Effects of a Project ECHO Longitudinal Clinical Tele-Mentoring Program on Viral Suppression for Persons With HIV: A Population-Based Analysis.

BACKGROUND: Project Extension for Community Health Outcomes (ECHO) aims to connect community providers to academic specialists, deliver longitudinal clinical mentorship and case consultations, plus encourage dissemination of knowledge and resources. The impact on outcomes for persons with HIV (PWH) is uncertain. SETTING: PWH in Washington and Oregon outside of the Seattle and Portland metro areas, January 2011 to March 2018. METHODS: Using viral load (VL) surveillance data, we assessed difference in the percentage of PWH who were virally suppressed among PWH whose providers participated versus did not participate in Project ECHO. Analyses included multiple mixed-effects regression models, adjusting for time and for patient, provider, and clinic characteristics. RESULTS: Based on 65,623 VL results, Project ECHO participation was associated with an increase in the percentage of patients with VL suppression (13.7 percentage points greater; P < 0.0001), although the effect varied by estimated provider PWH patient volume. The difference was 14.7 percentage points ( P < 0.0001) among patients of providers who order <20 VL's/quarter and 2.3 and -0.6 percentage points among patients of providers who order 20-40 or >40 VL's/quarter, respectively ( P > 0.5). The magnitude of difference in VL suppression was associated with the number of sessions attended. Among patients of lower-volume providers who did not participate, VL suppression was 6.2 percentage points higher if providers worked in a clinic where another provider did participate ( P < 0.0001). CONCLUSION: Project ECHO is associated with improvement in VL suppression for PWH whose providers participate or work in the same clinic system as a provider who participates, primarily because of benefits for patients of lower-volume providers.

Characterization of the Population Affected by the 6-Month Recertification Criterion of the Ryan White HIV/AIDS Program's AIDS Drug Assistance Program in Washington State, 2017-2019.

INTRODUCTION: AIDS Drug Assistance Programs (ADAPs) provide financial support for medical care for people living with HIV (PLWH) in the United States. Federal policy requires that clients recertify for the program every 6 months, which has been described as a barrier to care access. Our objective was to describe the prevalence of and factors associated with ADAP disenrollment in Washington State. METHODS: Between 2017 and 2019, we categorized ADAP clients by the success of their recertification applications as follows: (1) continuously enrolled, (2) ruled ineligible, or (3) disenrolled if they failed to recertify. We compared individuals who were disenrolled with those who were continuously enrolled by demographic and socioeconomic characteristics and engagement with case management using data from the Washington State HIV Surveillance and Ryan White data systems. RESULTS: From 2017 to 2019, 5480 clients were enrolled in ADAP, of whom 1423 (26%) were disenrolled and 984 (18%) were ruled ineligible at least once. Compared with those who were continuously enrolled, disenrolled PLWH were more likely to be Black [unadjusted prevalence ratio (PR) vs White 1.31, 95% confidence interval (CI): 1.17 to 1.46], uninsured (PR vs private insurance 1.24, 95% CI: 1.10 to 1.40), and younger (PR 25-34 vs 35-44 years 1.23, 95% CI: 1.08 to 1.41). The median time to return after disenrollment was 12 months (95% CI: 8 to 19 months). CONCLUSIONS: Disenrollment after failure to recertify was the most common reason why PLWH lost ADAP coverage in Washington State. ADAP recertification procedures disproportionately affect Black, young, and uninsured PLWH and may contribute to disparities in HIV outcomes.

Contraceptive Use Among Women in the United States Aged 18-44 Years with Selected Medical Contraindications to Estrogen.

Objective: Medical contraindications to estrogen limit women's contraceptive options. This study assessed the association between selected medical contraindications to estrogen on contraceptive use and examined whether contraindications serve as a barrier to the prevention of unintended pregnancy. Materials and Methods: We analyzed women aged 18-44 at risk of unintended pregnancy participating in the 2017 Behavioral Risk Factor Surveillance System. Survey questions queried women regarding contraceptive use and contraindications to estrogen use. We assessed the most recently used contraceptive method and compared the odds of women using each category of contraception (no methods, less effective methods, pill/patch/ring, injection, intrauterine device, implant, permanent contraception) between those with and without potential contraindications to estrogen using multinomial logistic regression models. Results: This study included 32,098 women, of whom 16% had one or more potential contraindications to estrogen. There were significant differences in contraceptive choice by potential contraindication status (p < 0.01). Fifteen percent of women with potential contraindications reported using estrogen-containing methods (pill, patch, or ring) compared with 20% of women with no potential contraindication. Women with potential contraindications to estrogen more frequently used permanent contraception (odds ratio [OR] vs. pill/patch/ring: 1.48 95% confidence interval [CI]: 1.17-1.88) or no contraceptive method (OR vs. pill/patch/ring: 1.37 95% CI: 1.07-1.75) after adjustment for race, age, marital status, and income. Conclusions: Potential medical contraindications to estrogen are associated with permanent contraception and the use of no contraception. These results portray a complicated relationship but could suggest a lack of access to other contraceptive options.

Detection and Response to an HIV Cluster: People Living Homeless and Using Drugs in Seattle, Washington.

INTRODUCTION: The HIV epidemic in King County, Washington has traditionally been highly concentrated among men who have sex with men, and incidence has gradually declined over 2 decades. In 2018, King County experienced a geographically concentrated outbreak of HIV among heterosexual people who inject drugs. METHODS: Data sources to describe the 2018 outbreak and King County's response were partner services interview data, HIV case reports, syringe service program client surveys, hospital data, and data from a rapid needs assessment of homeless individuals and people who inject drugs. In 2020, the authors examined the impact of delays in molecular sequence analyses and cluster member size thresholds, for identifying genetically similar clusters, on the timing of outbreak identification. RESULTS: In 2018, the health department identified a North Seattle cluster, growing to 30 people with related HIV infections diagnosed in 2008-2019. In total, 70% of cluster members were female, 77% were people who inject drugs, 87% were homeless, and 27% reported exchanging sex. Intervention activities included a rapid needs assessment, 2,485 HIV screening tests in a jail and other outreach settings, provision of 87,488 clean syringes in the outbreak area, and public communications. A lower cluster size threshold and more rapid receipt and analyses of data would have identified this outbreak 4-16 months earlier. CONCLUSIONS: This outbreak shows the vulnerability of people who inject drugs to HIV infection, even in areas with robust syringe service programs and declining HIV epidemics. Although molecular HIV surveillance did not identify this outbreak, it may have done so with a lower threshold for defining clusters and more rapid receipt and analyses of HIV genetic sequences.

Predictive Value of Time-Space Clusters for HIV Transmission in Washington State, 2017-2019.

BACKGROUND: Pillar 4 of the United States' End the HIV Epidemic plan is to respond quickly to HIV outbreaks, but the utility of CDC's tool for identifying HIV outbreaks through time-space cluster detection has not been evaluated. The objective of this evaluation is to quantify the ability of the CDC time-space cluster criterion to predict future HIV diagnoses and to compare it to a space-time permutation statistic implemented in SaTScan software. SETTING: Washington State from 2017 to 2019. METHODS: We applied both cluster criteria to incident HIV cases in Washington State to identify clusters. Using a repeated-measures Poisson model, we calculated a rate ratio comparing the 6 months after cluster detection with a baseline rate from 24 to 12 months before the cluster was detected. We also compared the demographics of cases within clusters with all other incident cases. RESULTS: The CDC criteria identified 17 clusters containing 192 cases in the 6 months after cluster detection, corresponding to a rate ratio of 1.25 (95% confidence interval: 0.95 to 1.65) relative to baseline. The time-space permutation statistic identified 5 clusters containing 25 cases with a rate ratio of 2.27 (95% confidence interval: 1.28 to 4.03). Individuals in clusters identified by the new criteria were more likely to be of Hispanic origin (61% vs 20%) and in rural areas (51% vs 12%). CONCLUSIONS: The space-time permutation cluster analysis is a promising tool for identification of clusters with the largest growth potential for whom interruption may prove most beneficial.

Assessing HIV Care Outcomes Among African-Born People Living with HIV in Seattle: An Analysis of the University of Washington Electronic Medical Record.

To examine the relationship between African birth and HIV outcomes and comorbidities among individuals accessing care at the University of Washington. Patients who received a diagnosis of HIV at the University of Washington from 1995 to 2018 were identified. African-born patients were defined as those with recorded birthplace or primary language belonging to an African country. This cohort was compared to all non-African-born patients for initial CD4 count < 200 cells/mL, time from diagnosis to viral suppression, and prevalence of comorbid conditions. We identified 357 African-born and 3710 non-African-born patients. Over the time period, African-born patients were more likely to present with initial CD4 counts < 200 cells/mL (31% vs 19%, p < 0.01), but had shorter time to viral suppression (HR 1.31, [95% CI: 1.14-1.56]). African-born patients had higher rates of hepatitis B and tuberculosis (12% vs. 7% p < 0.01 and 13% vs. 3% p < 0.01). African-born patients living in the Seattle area have better HIV outcomes, but low initial CD4 counts suggest that they are presenting to care late. Increased efforts to engage this population in HIV, hepatitis B, and tuberculosis screening are warranted.

Characterization of Molecular Cluster Detection and Evaluation of Cluster Investigation Criteria Using Machine Learning Methods and Statewide Surveillance Data in Washington State.

Molecular cluster detection can be used to interrupt HIV transmission but is dependent on identifying clusters where transmission is likely. We characterized molecular cluster detection in Washington State, evaluated the current cluster investigation criteria, and developed a criterion using machine learning. The population living with HIV (PLWH) in Washington State, those with an analyzable genotype sequences, and those in clusters were described across demographic characteristics from 2015 to2018. The relationship between 3- and 12-month cluster growth and demographic, clinical, and temporal predictors were described, and a random forest model was fit using data from 2016 to 2017. The ability of this model to identify clusters with future transmission was compared to Centers for Disease Control and Prevention (CDC) and the Washington state criteria in 2018. The population with a genotype was similar to all PLWH, but people in a cluster were disproportionately white, male, and men who have sex with men. The clusters selected for investigation by the random forest model grew on average 2.3 cases (95% CI 1.1-1.4) in 3 months, which was not significantly larger than the CDC criteria (2.0 cases, 95% CI 0.5-3.4). Disparities in the cases analyzed suggest that molecular cluster detection may not benefit all populations. Jurisdictions should use auxiliary data sources for prediction or continue using established investigation criteria.

Reported bed net ownership and use in social contacts is associated with uptake of bed nets for malaria prevention in pregnant women in Ghana.

BACKGROUND: Despite progress made in the last decades, malaria persists as a pressing health issue in sub-Saharan Africa. Pregnant women are particularly vulnerable to infection and serious health outcomes for themselves and their unborn child. Risk can be mitigated through appropriate use of control measures such as insecticide-treated bed nets. Although social networks can influence uptake of preventive strategies, the role of social influence on bed net ownership has not been explored. During an evaluation of a bed net distribution programme, the influence of non-health care advisors on ownership and use of bed nets by pregnant women in Kumasi, Ghana was examined. METHODS: Data were collected through in-person interviews with 300 pregnant women seeking antenatal care in an urban hospital in Kumasi, Ghana. Participants were asked about their bed net ownership, bed net use, and information about three personal contacts that they go to for pregnancy advice. Information about these advisors was combined into an influence score. Logistic regression models were used to determine the association between the score and bed net ownership. Those who owned a bed net were further assessed to determine if interpersonal influence was associated with self-reported sleeping under the bed net the previous night. RESULTS: Of the 294 women in the analysis, 229 (78%) reported owning bed nets. Of these bed net owners, 139 (61%) reported using a bed net the previous night. A dose response relationship was observed between the interpersonal influence score and bed net ownership and use. Compared to the lowest influence score, those with the highest influence score (>1 SD above the mean) were marginally more likely to own a bed net [OR = 2.37, 95% CI (0.87, 6.39)] and much more likely to use their bed net [5.38, 95% CI (1.89, 15.25)] after adjusting for other factors. CONCLUSIONS: Interpersonal influence appears to have modest impact on ownership and use of bed nets by pregnant women in an urban area of Ghana. Further investigations would need to be conducted to determine if the relationship is causal or if individuals who associate are simply more likely to have similar practices.