Predictors of engagement in screening for a hepatitis C virus (HCV) treatment trial in a rural Appalachian community.

An HCV treatment trial was initiated in September 2019 to address the opioid/hepatitis C virus (HCV) syndemic in rural Kentucky. The focus of the current analysis is on participation in diagnostic screening for the trial. Initial eligibility (≥18 years of age, county resident) was established by phone followed by in-person HCV viremia testing. 900 rural residents met the inclusion criteria and comprised the analytic sample. Generalized linear models were specified to estimate the relative risk of non-attendance at the in-person visit determining HCV eligibility. Approximately one-quarter (22.1%) of scheduled participants were no-shows. People who inject drugs were no more likely than people not injecting drugs to be a no-show; however, participants ≤35 years of age were significantly less likely to attend. While the median time between phone screening and scheduled in-person screening was only 2 days, each additional day increased the odds of no-show by 3% (95% confidence interval: 2%-3%). Finally, unknown HCV status predicted no-show even after adjustment for age, gender, days between screenings and injection status. We found that drug injection did not predict no-show, further justifying expanded access to HCV treatment among people who inject drugs. Those 35 years and younger were more likely to no-show, suggesting that younger individuals may require targeted strategies for increasing testing and treatment uptake. Finally, streamlining the treatment cascade may also improve outcomes, as participants in the current study were more likely to attend if there were fewer days between phone screening and scheduled in-person screening.

Validation of dried blood spots for capturing hepatitis C virus diversity for genomic surveillance.

Dried blood spots (DBS) have emerged as a promising alternative to traditional venous blood for hepatitis C virus (HCV) testing. However, their capacity to accurately reflect the genetic diversity of HCV remains poorly understood. We employed deep sequencing and advanced phylogenetic analyses on paired plasma and DBS samples from two common subtypes to evaluate the suitability of DBS for genomic surveillance. Results demonstrated that DBS captured equivalent viral diversity compared to plasma with no phylogenetic discordance observed. The ability of DBS to accurately reflect the profile of viral genetic diversity suggests it may be a promising avenue for future surveillance efforts to curb HCV outbreaks.

Evaluation of respondent-driven sampling in seven studies of people who use drugs from rural populations: findings from the Rural Opioid Initiative.

BACKGROUND: Accurate prevalence estimates of drug use and its harms are important to characterize burden and develop interventions to reduce negative health outcomes and disparities. Lack of a sampling frame for marginalized/stigmatized populations, including persons who use drugs (PWUD) in rural settings, makes this challenging. Respondent-driven sampling (RDS) is frequently used to recruit PWUD. However, the validity of RDS-generated population-level prevalence estimates relies on assumptions that should be evaluated. METHODS: RDS was used to recruit PWUD across seven Rural Opioid Initiative studies between 2018-2020. To evaluate RDS assumptions, we computed recruitment homophily and design effects, generated convergence and bottleneck plots, and tested for recruitment and degree differences. We compared sample proportions with three RDS-adjusted estimators (two variations of RDS-I and RDS-II) for five variables of interest (past 30-day use of heroin, fentanyl, and methamphetamine; past 6-month homelessness; and being positive for hepatitis C virus (HCV) antibody) using linear regression with robust confidence intervals. We compared regression estimates for the associations between HCV positive antibody status and (a) heroin use, (b) fentanyl use, and (c) age using RDS-1 and RDS-II probability weights and no weights using logistic and modified Poisson regression and random-effects meta-analyses. RESULTS: Among 2,842 PWUD, median age was 34 years and 43% were female. Most participants (54%) reported opioids as their drug of choice, however regional differences were present (e.g., methamphetamine range: 4-52%). Many recruitment chains were not long enough to achieve sample equilibrium. Recruitment homophily was present for some variables. Differences with respect to recruitment and degree varied across studies. Prevalence estimates varied only slightly with different RDS weighting approaches, most confidence intervals overlapped. Variations in measures of association varied little based on weighting approach. CONCLUSIONS: RDS was a useful recruitment tool for PWUD in rural settings. However, several violations of key RDS assumptions were observed which slightly impacts estimation of proportion although not associations.

Latent Class Analysis of Online Platforms for Partner-Seeking and Sexual Behaviors Among Men Who Have Sex with Men from Central Kentucky.

Little is known whether engagement in sexual behaviors associated with potential HIV risks differs by subgroups of men who have sex with men (MSM), who are distinct regarding patterns of use of online tools for partner-seeking. Using latent class analysis, we revealed four classes of app-using MSM (n = 181, 18-34 y.o., 82.4% identified as White and non-Hispanic) residing in Central Kentucky: the Grindr/Tinder class; the Poly App Use class of MSM-oriented apps; the General Social Media class, and the Bumble class. Unadjusted penalized logistic regressions showed associations of the Poly App Use class with increased numbers of receptive anal sex partners and reporting condomless receptive anal sex. Adjusting for other covariates, poly app users versus others were more likely to be older (25-34 vs. 18-24, AOR = 3.81, 95%CI = 1.70-9.03), to report past six-month illicit drug use (AOR = 2.93, 95%CI = 1.25-7.43) and to have ever used pre-exposure prophylaxis (AOR = 2.79, 95%CI = 1.10-7.12). Poly app users had behavior profiles associated with an elevated HIV risk and also reported HIV-related protective behaviors likely indicating increased risk awareness among this class. Our findings warrant differentiation of behavior profiles by patterns of app use and suggest not to generalize sexual behaviors associated with potential HIV risks to all app-using MSM.

RESUMEN: Poco se sabe si la participación en comportamientos sexuales asociados con riesgos potenciales de VIH difiere según distintos subgrupos de hombres que tienen sexo con hombres (HSH) en base a patrones en el uso de herramientas online para la búsqueda de pareja. Mediante el análisis de clases latentes, identificamos cuatro clases de HSH que usan aplicaciones (n = 181, 18­34 años, 82.4% identificados como Blancos y no-Hispanos) y residen en Kentucky Central: la clase Grindr/Tinder, la clase Poly App Use de aplicaciones orientadas a HSH, la clase General Social Media y la clase Bumble. Las regresiones logísticas penalizadas no ajustadas mostraron asociaciones de la clase Poly App Use con un alza en el número de parejas receptivas en relaciones sexuales anales y con reportes de sexo anal receptivo sin condón. Al ajustar por otras covariables, los miembros de la clase Poly App Use, con respecto a las otras clases, tuvieron más probabilidades de ser mayores (25­34 vs. 18­24, ORA = 3,81; IC95%=1,70 − 9,03), de informar el uso de drogas ilícitas en los últimos 6 meses (ORA = 2,93; IC95%=1,25 − 7,43) y haber utilizado alguna vez profilaxis-preexposición (ORA = 2,79; IC95%=1,10 − 7,12). Así mismo, los miembros de esta clase tuvieron perfiles de comportamiento asociado con el riesgo elevado de VIH y también informaron comportamientos de protección relacionados con el VIH que probablemente indican una mayor conciencia del riesgo entre ellos. Nuestros hallazgos justifican la diferenciación de perfiles de comportamiento en base a patrones de uso de aplicaciones y sugieren no generalizar los comportamientos sexuales asociados con riesgos potenciales de VIH a todos los HSH que las usan.

Correlates of Recent HIV Testing Among People Who Inject Drugs in Rural Areas: A Multi-site Cross-Sectional Study, 2018-2020.

The Rural Opioid Initiative surveyed 2693 people who inject drugs (PWID) in eight rural U.S. areas in 2018-2020 about self-reported HIV testing in the past 6 months. Correlates of interest included receipt of any drug-related services, incarceration history, and structural barriers to care (e.g., lack of insurance, proximity to syringe service programs [SSP]). Overall, 20% of participants reported receiving an HIV test within the past 6 months. Multivariable generalized estimating equations showed that attending substance use disorder (SUD) treatment (OR 2.11, 95%CI [1.58, 2.82]), having health insurance (OR 1.42, 95%CI [1.01, 2.00]) and recent incarceration (OR 1.49, 95%CI [1.08, 2.04]) were positively associated with HIV testing, while experiencing a resource barrier to healthcare (inability to pay, lack of transportation, inconvenient hours, or lack of child care) had inverse (OR 0.73, 95%CI [0.56, 0.94]) association with HIV testing. We found that the prevalence of HIV testing among rural PWID is low, indicating an unmet need for testing. While SUD treatment or incarceration may increase chances for HIV testing for rural PWID, other avenues for expanding HIV testing, such as SSP, need to be explored.

Deep Neural Networks for Fine-Grained Surveillance of Overdose Mortality.

Surveillance of drug overdose deaths relies on death certificates for identification of the substances that caused death. Drugs and drug classes can be identified through the International Classification of Diseases, Tenth Revision (ICD-10), codes present on death certificates. However, ICD-10 codes do not always provide high levels of specificity in drug identification. To achieve more fine-grained identification of substances on death certificate, the free-text cause-of-death section, completed by the medical certifier, must be analyzed. Current methods for analyzing free-text death certificates rely solely on lookup tables for identifying specific substances, which must be frequently updated and maintained. To improve identification of drugs on death certificates, a deep-learning named-entity recognition model was developed, utilizing data from the Kentucky Drug Overdose Fatality Surveillance System (2014-2019), which achieved an F1-score of 99.13%. This model can identify new drug misspellings and novel substances that are not present on current surveillance lookup tables, enhancing the surveillance of drug overdose deaths.

Contraception and Healthcare Utilization by Reproductive-Age Women Who Use Drugs in Rural Communities: a Cross-Sectional Survey.

BACKGROUND: Women who use drugs (WWUD) have low rates of contraceptive use and high rates of unintended pregnancy. Drug use is common among women in rural U.S. communities, with limited data on how they utilize reproductive, substance use disorder (SUD), and healthcare services. OBJECTIVE: We determined contraceptive use prevalence among WWUD in rural communities then compared estimates to women from similar rural areas. We investigated characteristics of those using contraceptives, and associations between contraceptive use and SUD treatment, healthcare utilization, and substance use. DESIGN: Rural Opioids Initiative (ROI) - cross-sectional survey using respondent-driven sampling (RDS) involving eight rural U.S. regions (January 2018-March 2020); National Survey on Family Growth (NSFG) - nationally-representative U.S. household reproductive health survey (2017-2019). PARTICIPANTS: Women aged 18-49 with prior 30-day non-prescribed opioid and/or non-opioid injection drug use; fecundity determined by self-reported survey responses. MAIN MEASURES: Unweighted and RDS-weighted prevalence estimates of medical/procedural contraceptive use; chi-squared tests and multi-level linear regressions to test associations. KEY RESULTS: Of 855 women in the ROI, 36.8% (95% CI 33.7-40.1, unweighted) and 38.6% (95% CI 30.7-47.2, weighted) reported contraceptive use, compared to 66% of rural women in the NSFG sample. Among the ROI women, 27% had received prior 30-day SUD treatment via outpatient counseling or inpatient program and these women had increased odds of contraceptive use (aOR 1.50 [95% CI 1.08-2.06]). There was a positive association between contraception use and recent medications for opioid use disorder (aOR 1.34 [95% CI 0.95-1.88]) and prior 6-month primary care utilization (aOR 1.32 [95% CI 0.96-1.82]) that did not meet the threshold for statistical significance. CONCLUSION: WWUD in rural areas reported low contraceptive use; those who recently received SUD treatment had greater odds of contraceptive use. Improvements are needed in expanding reproductive and preventive health within SUD treatment and primary care services in rural communities.

Houselessness and syringe service program utilization among people who inject drugs in eight rural areas across the USA: a cross-sectional analysis.

BACKGROUND: Research conducted in urban areas has highlighted the impact of housing instability on people who inject drugs (PWID), revealing that it exacerbates vulnerability to drug-related harms and impedes syringe service program (SSP) use. However, few studies have explored the effects of houselessness on SSP use among rural PWID. This study examines the relationship between houselessness and SSP utilization among PWID in eight rural areas across 10 states. METHODS: PWID were recruited using respondent-driven sampling for a cross-sectional survey that queried self-reported drug use and SSP utilization in the prior 30 days, houselessness in the prior 6 months and sociodemographic characteristics. Using binomial logistic regression, we examined the relationship between experiencing houselessness and any SSP use. To assess the relationship between houselessness and the frequency of SSP use, we conducted multinomial logistic regression analyses among participants reporting any past 30-day SSP use. RESULTS: Among 2394 rural PWID, 56.5% had experienced houselessness in the prior 6 months, and 43.5% reported past 30-day SSP use. PWID who had experienced houselessness were more likely to report using an SSP compared to their housed counterparts (adjusted odds ratio [aOR] = 1.24 [95% confidence intervals [CI] 1.01, 1.52]). Among those who had used an SSP at least once (n = 972), those who experienced houselessness were just as likely to report SSP use two (aOR = 0.90 [95% CI 0.60, 1.36]) and three times (aOR = 1.18 [95% CI 0.77, 1.98]) compared to once. However, they were less likely to visit an SSP four or more times compared to once in the prior 30 days (aOR = 0.59 [95% CI 0.40, 0.85]). CONCLUSION: This study provides evidence that rural PWID who experience houselessness utilize SSPs at similar or higher rates as their housed counterparts. However, housing instability may pose barriers to more frequent SSP use. These findings are significant as people who experience houselessness are at increased risk for drug-related harms and encounter additional challenges when attempting to access SSPs.

A qualitative study on pharmacy policies toward over-the-counter syringe sales in a rural epicenter of US drug-related epidemics.

BACKGROUND: Expanding access to sterile syringes in rural areas is vital, as injection-related epidemics expand beyond metropolitan areas globally. While pharmacies have potential to be an easily accessible source of sterile syringes, research in cities has identified moral, legal and ethical barriers that preclude over-the-counter (OTC) sales to people who inject drugs (PWID). The current study builds on prior urban-based research by elucidating (1) pharmacy OTC policies and (2) pharmacists' rationale for, and barriers and facilitators to, OTC syringe sales in a US rural area hard hit by drug-related epidemics. METHODS: We conducted 14 semi-structured interviews with pharmacists recruited from two Eastern Kentucky health districts. Interview domains included experiences with, and attitudes toward, selling OTC syringes to PWID. Constructivist grounded theory methods were used to analyze verbatim transcripts. RESULTS: Most pharmacists operated "restrictive OTC" pharmacies (n = 8), where patients were required to have a prescription or proof of medical need to purchase a syringe. The remainder (n = 6) operated "open OTC" pharmacies, which allowed OTC syringe sales to most patients. Both groups believed their pharmacy policies protected their community and pharmacy from further drug-related harm, but diverging policies emerged because of stigma toward PWID, perceptions of Kentucky law, and belief OTC syringe sales were harmful rather than protective to the community. CONCLUSION: Our results suggest that restrictive OTC pharmacy policies are rooted in stigmatizing views of PWID. Anti-stigma education about substance use disorder (SUD), human immunodeficiency virus (HIV), and Hepatitis C (HCV) is likely needed to truly shift restrictive pharmacy policy.

Willingness to Participate in At-Home HIV Testing Among Young Adults Who Use Opioids in Rural Appalachia.

New HIV infections associated with injection drug use are of major concern in rural US communities. This study explores acceptability of, consent for, and uptake of free at-home HIV testing among people who use drugs (PWUD) in one of the nation's epicenters for drug-related harms and HIV vulnerability: Rural Central Appalachia. Eligible participants were 18-35 years old, lived in Appalachian Kentucky, and reported using opioids to get high in the previous 30 days. A majority reported being likely (63.6%, 96/151) to take a free at-home HIV tests and 66.9% (101/151) consented to receive one. Among those who were randomly selected to receive a Home Access HIV-1 test kit (n = 37), 37.8% mailed in blood spots and 21.6% called to receive results. This study provides evidence that PWUD may be willing to take an at-home test, but other barriers may inhibit actual completion.

Privacy and Confidentiality Considerations for Collecting HIV Risk Network Data among Men who Have Sex with Men and Implications for Constructing Valid Risk Networks.

Studies aiming to construct risk networks have historically collected network members' names, demographic characteristics and relational data (i.e., type, strength, duration, frequency of interaction, and HIV-related risk behaviors between the pair). Due to difficulties in constructing risk networks stemming from partner anonymity and the use of nicknames, some studies also collect network members' screen names, phone numbers, physical attributes, and scars/tattoos to assist with entity resolution. In-depth interviews with 20 men who have sex with men and transgender women in Kentucky assessed privacy/confidentiality concerns as well as accuracy/recall issues associated with providing these details. Most preferred providing alters' nicknames/first names only or a first name with the first letter of the last name. Many perceived screen names, phone numbers, and scars/tattoos to be too personal/identifying. Willingness to provide more detailed information varied by relationship type/strength, which could influence the validity of the resulting network.

Factors that influence enrollment in syringe services programs in rural areas: a qualitative study among program clients in Appalachian Kentucky.

BACKGROUND: Enrolling sufficient number of people who inject drugs (PWID) into syringe services programs (SSP) is important to curtail outbreaks of drug-related harms. Still, little is known about barriers and facilitators to SSP enrollment in rural areas with no history of such programs. This study's purpose was to develop a grounded theory of the role of the risk environment and individual characteristics of PWID in shaping SSP enrollment in rural Kentucky. METHODS: We conducted one-on-one semi-structured interviews with 41 clients of 5 SSPs that were established in rural counties in Appalachian Kentucky in 2017-2018. Interviews covered PWID needs, the process of becoming aware of SSPs, and barriers and facilitators to SSP enrollment. Applying constructivist grounded theory methods and guided by the Intersectional Risk Environment Framework (IREF), we applied open, axial and selective coding to develop the grounded theory. RESULTS: Stigma, a feature of IREF's meso-level social domain, is the main factor hampering SSP enrollment. PWID hesitated to visit SSPs because of internalized stigma and because of anticipated stigma from police, friends, family and healthcare providers. Fear of stigma was often mitigated or amplified by a constellation of meso-level environmental factors related to healthcare (e.g., SSPs) and social (PWID networks) domains and by PWID's individual characteristics. SSPs mitigated stigma as a barrier to enrollment by providing low threshold services in a friendly atmosphere, and by offering their clients program IDs to protect them from paraphernalia charges. SSP clients spread positive information about the program within PWID networks and helped their hesitant peers to enroll by accompanying them to SSPs. Individual characteristics, including child custody, employment or high social status, made certain PWID more susceptible to drug-related stigma and hence more likely to delay SSP enrollment. CONCLUSIONS: Features of the social and healthcare environments operating at the meso-level, as well as PWID's individual characteristics, appear to enhance or mitigate the effect of stigma as a barrier to SSP enrollment. SSPs opening in locations with high stigma against PWID need to ensure low threshold and friendly services, protect their clients from police and mobilize PWID networks to promote enrollment.

Longitudinal trends in nonmedical prescription opioid use in a cohort of rural Appalachian people who use drugs.

Rural Appalachia remains an epicenter of the prescription opioid epidemic. In 2008, a cohort study was undertaken to examine longitudinal trends in nonmedical prescription opioid use (NMPOU). Eight waves of data (2008-2020) from the Social Networks among Appalachian People (SNAP) cohort were utilized for the current analysis. Only those who reported recent (past 6-month) NMPOU at baseline are included (n = 498, 99%). Mixed-effects logistic regression was used to model factors associated with NMPOU over time. Recent NMPOU declined significantly over the past decade (p < .001). However, 54.1% of participants still engaged in NMPOU at their most recent follow-up. Receipt of benefits for a physical or mental disability (adjusted odds ratio [aOR]: 3.11, 95% Confidence Interval [CI]: 1.98, 4.90) and self-described poor health status (aOR: 3.67, 95% CI: 1.61, 8.37) were both associated with NMPOU. All treatment modalities (methadone maintenance, residential, outpatient counseling) tested in the model, with the notable exception of detoxification, were associated with significantly lower odds of NMPOU. Although significant declines in prescription opioid misuse were observed in the cohort, more than half of all participants were engaged in NMPOU more than a decade after entering the study. Substance use disorder (SUD) treatment (excluding detoxification) was shown associated with reduced odds of continued NMPOU; therefore, increasing access to evidence-based treatments should be a priority in rural areas affected by the ongoing opioid epidemic.

Privacy, Confidentiality, and Safety Considerations for Conducting Geographic Momentary Assessment Studies Among Persons Who Use Drugs and Men Who Have Sex with Men.

Geographic momentary assessments (GMA) collect real-time behavioral data in one's natural environment using a smartphone and could potentially increase the ecological validity of behavioral data. Several studies have evaluated the feasibility and acceptability of GMA among persons who use drugs (PWUD) and men who have sex with men (MSM), but fewer have discussed privacy, confidentiality, and safety concerns, particularly when illegal or stigmatized behavioral data were collected. This study explores perceptions regarding privacy, confidentiality, and safety of GMA research among PWUD and MSM recruited in three different settings (rural Appalachia, a mid-sized city in the South, and a mid-Atlantic city). Between November 2014 and April 2017, we recruited 35 PWUD from rural Appalachian Kentucky (N = 20) and Baltimore, Maryland (N = 15) and 20 MSM from Lexington, Kentucky to complete semi-structured qualitative interviews. Through thematic analyses, we identified and compared privacy, confidentiality, and safety concerns by demographic characteristics, risk behaviors, and setting. Privacy, confidentiality, and safety concerns varied by setting, age, smartphone ownership, use of illegal drugs, and history of drug-related arrests. Among those who used drugs, participants reported concerns with being tracked and burden associated with carrying and safeguarding study phones and responding to survey prompts. Privacy and confidentiality concerns were noted in each setting, but tracking concerns were greatest among Baltimore participants and led many to feel that they (or others) would be unwilling to participate or comply with study procedures. While locations considered to be sensitive varied by setting, participants in all settings said they would take measures to prevent sensitive information from being collected (i.e., intentionally disable devices, leave phones at home, alter response times). Privacy, confidentiality, and safety concerns may limit the accuracy of risk location information, study compliance, and participation. As concerns were often greatest among those engaging in illegal behaviors and with the highest risk behaviors, selection bias and non-response bias could negatively influence the representativeness and validity of study findings.

Syringe Service Program Utilization, Barriers, and Preferences for Design in Rural Appalachia: Differences between Men and Women Who Inject Drugs.

Background People who inject drugs (PWID) in rural areas of the United States have had limited access to syringe service programs (SSP). Rural SSP have recently surged, but accompanying research is lacking about PWID utilization, barriers, and preferences for SSP design and how those preferences vary by gender. Methods: Interviewer-administered surveys elicited information about utilization, barriers, and preferences for SSP design from 234 PWID recruited using respondent-driven sampling in Appalachian, Kentucky. Gender differences among reported barriers to utilizing SSP and preferences for program design were explored using Mantel-Haenszel chi-square tests. Results: Overall, 49% of PWID had ever utilized an SSP. The most common reasons for not utilizing an SSP were lack of awareness (23%), fear of being seen or disclosing drug use (19%), and lack of need (19%). The most preferred SSP design was located within a health department (74%) and operating during afternoon hours (66%). Men were more likely than women to prefer SSP in health departments (80% vs. 65%, p = 0.01), while more women than men preferred staffing by health department personnel (62% vs. 46%, p = 0.02). Women were less likely to favor evening hours (55% vs. 70%, p = 0.02). Fewer women wanted SSP nurses (78% vs. 90%, p = 0.01), social workers (11% vs. 24%, p = 0.01), or people who use drugs (20% vs 34%, p = 0.02) to staff SSP. Conclusions: Despite recent scale-up, SSP in Appalachia remain under-utilized. PWID were open to a range of options for SSP design and staffing, though there were variations by gender. Implementation research that identifies best strategies for tailored SSP scale-up in rural settings should be considered.

Scaling Up Hepatitis C Prevention and Treatment Interventions for Achieving Elimination in the United States: A Rural and Urban Comparison.

In the United States, hepatitis C virus (HCV) transmission is rising among people who inject drugs (PWID). Many regions have insufficient prevention intervention coverage. Using modeling, we investigated the impact of scaling up prevention and treatment interventions on HCV transmission among PWID in Perry County, Kentucky, and San Francisco, California, where HCV seroprevalence among PWID is >50%. A greater proportion of PWID access medication-assisted treatment (MAT) or syringe service programs (SSP) in urban San Francisco (established community) than in rural Perry County (young, expanding community). We modeled the proportion of HCV-infected PWID needing HCV treatment annually to reduce HCV incidence by 90% by 2030, with and without MAT scale-up (50% coverage, both settings) and SSP scale-up (Perry County only) from 2017. With current MAT and SSP coverage during 2017-2030, HCV incidence would increase in Perry County (from 21.3 to 22.6 per 100 person-years) and decrease in San Francisco (from 12.9 to 11.9 per 100 person-years). With concurrent MAT and SSP scale-up, 5% per year of HCV-infected PWID would need HCV treatment in Perry County to achieve incidence targets-13% per year without MAT and SSP scale-up. In San Francisco, a similar proportion would need HCV treatment (10% per year) irrespective of MAT scale-up. Reaching the same impact by 2025 would require increases in treatment rates of 45%-82%. Achievable provision of HCV treatment, alongside MAT and SSP scale-up (Perry County) and MAT scale-up (San Francisco), could reduce HCV incidence.

Using Network and Spatial Data to Better Target Overdose Prevention Strategies in Rural Appalachia.

This analysis uses network and spatial data to identify optimal individuals to target with overdose prevention interventions in rural Appalachia. Five hundred and three rural persons who use drugs were recruited to participate in the Social Networks among Appalachian People Study (2008-2010). Interviewer-administered surveys collected information on demographic characteristics, risk behaviors (including overdose history), network members, and residential addresses. We restricted the sample to individuals with at least one confirmed relationship to another study participant (N = 463). Using dyadic analyses (N = 1428 relationships), we identified relationship-level correlates of relationships with network members who have previously overdosed. We then examined individual- and network-level factors associated with (1) having at least one first-degree alter (i.e., network member) with a prior overdose and (2) each additional network member with a prior overdose (N = 463 study participants). Overall, 28% of the sample had previously overdosed and 57% were one-degree away from someone who previously overdosed. Relationships with those who had overdosed were characterized by closer residential proximity. Those with at least one network member who previously overdosed were more geographically central and occupied more central network positions. Further, the number of network members with an overdose history increased with decreasing distance to the town center, increasing network centrality, and prior enrollment in an alcohol detox program. Because fatal overdoses can be prevented through bystander intervention, these findings suggest that strategies that target more central individuals (both geographically and based on their network positions) and those who have previously enrolled in alcohol detox programs with overdose prevention training and naloxone may optimize intervention reach and have the potential to curb overdose fatalities in this region.

Network-Based Research on Rural Opioid Use: an Overview of Methods and Lessons Learned.

PURPOSE OF REVIEW: The purpose of this paper is to provide a thorough overview of methods used for recruitment, network data collection, and network data management in a network-based study of rural people who use drugs (PWUD) and to offer methodological recommendations for future research on rural drug use. RECENT FINDINGS: The Social Networks among Appalachian People (SNAP) study recruited a cohort of 503 rural PWUD via respondent-driven sampling (RDS) and has retained more than 80% of eligible participants over 7-9 years. SNAP has yielded important methodological insights, including that (1) RDS referral was non-random and disproportionately involved kin and (2) interviewer-administered questionnaires were successful in eliciting accurate name and age information about network members. The SNAP experience suggests that RDS was a successful recruitment strategy for rural PWUD and questionnaires administered by community-based interviewers in the context of a Certificate of Confidentiality could elicit detailed data on PWUD risk networks.

Network Research Experiences in New York and Eastern Europe: Lessons for the Southern US in Understanding HIV Transmission Dynamics.

PURPOSE: This paper presents an overview of different kinds of risk and social network methods and the kinds of research questions each can address. RECENT FINDINGS: It also reviews what network research has discovered about how network characteristics are associated with HIV and other infections, risk behaviors, preventive behaviors, and care, and discusses some ways in which network-based public health interventions have been conducted. Based on this, risk and social network research and interventions seem both feasible and valuable for addressing the many public health and social problems raised by the widespread use of opioids in the US South.