Assessment of Community-Level Vulnerability and Access to Medications for Opioid Use Disorder

Maternal Area of Residence and Outcomes for Mother-Infant Dyads with Perinatal Opioid Exposure

Determine the relationship between maternal Social Deprivation Index (SDI), a composite measure of area-level deprivation, and maternal characteristics and infant outcomes for mother-infant dyads with perinatal opioid exposure.Post hoc secondary analysis of 1,298 mother-infant dyads in the ESC-NOW study, a multicenter, stepped-wedge cluster-randomized controlled trial (2020-2022) conducted at 26 U.S. study hospitals. The 2016 American Community Survey was used to develop SDI scores based on the maternal zip code of residence at the time of delivery. Outcomes evaluated included receipt of pharmacologic treatment for neonatal opioid withdrawal syndrome (PT), receipt of breastmilk during hospital stay, direct breastfeeding at discharge, discharge disposition, and length of stay for infants who received PT (length of hospital stay, LOS).The median SDI score was 62 on a scale of 100. The high SDI group, with a score above the SDI median and more social deprivation, was less likely to receive adequate prenatal care or medication for opioid use disorder and more likely to be Black and/or Hispanic. The mean proportion of infants in the high SDI group was 6.2% points (relative risk [RR]: 0.89; 95% confidence interval [CI]: 0.80, 0.98) less likely to receive breastmilk during the newborn hospitalization and 7.3% points (RR: 0.91; 95% CI: 0.87, 0.96) less likely to be discharged home with a biological parent. There was no difference between the high and low SDI groups in receipt of PT, direct breastfeeding at discharge, or LOS.Mothers from high SDI communities with opioid exposure during pregnancy were less likely to receive the established standard of care and more likely to be Black and/or Hispanic. Infants born to these mothers were less likely to receive breastmilk and/or to be discharged home with a biological parent. Targeting interventions to mitigate the impact of social deprivation in high SDI communities may improve outcomes for opioid-exposed infants and their mothers. · Living in an area with high social deprivation was associated with differences in health outcomes.. · Mothers were more likely to be Black and/or Hispanic.. · Mothers were less likely to receive the standard of care during pregnancy.. · Infants were less likely to receive breastmilk and/or be discharged home with a biological parent.. · Interventions designed to address community social deprivation may improve outcomes..

The impact of buprenorphine prescriber data on geospatial access to treatment in HEALing Communities Study communities, 2022

INTRODUCTION

The location of buprenorphine treatment providers in the United States is pivotal to the understanding of regional factors associated with prescription and uptake. We evaluated how distinct data sources of treatment providers and their associated locations contribute to the differences observed when measuring buprenorphine accessibility.

METHODS

We compared buprenorphine treatment provider data from the Drug Enforcement Administration (DEA) and data from the behavioral health treatment locator from the Substance Abuse and Mental Health Services Administration (SAMHSA) for July 2022. Both DEA and SAMHSA data, while similar in spirit, vary substantially in how and why each data set is collected. DEA registration was required by law, while SAMHSA data was an opt-in registry of provider-submitted details. Analyzing the underlying semantics of the data is important for understanding the contextual factors driving observable differences in analytical outputs. We measured accessibility using enhanced two-step floating catchment area (E2SFCA) analysis in three states participating in the HEALing Communities Study (Kentucky, Ohio, Massachusetts). Within communities, we compared decile rankings of accessibility per census tract using each data source. We linked prescribing data from Kentucky's prescription drug monitoring program (PDMP) to measure accessibility using providers prescribing buprenorphine. We explored the significance of localized rank exchanges using neighbor set local indicators of mobility association (LIMA).

RESULTS

The number and rate of providers per capita differed substantially at the community level between data sources in the three states. These differences were less impactful in the spatial context of buprenorphine accessibility, which required both supply and demand in regions smaller than our intervention communities. Shifts did occur when measuring the intercommunity decile ranking of accessibility of census tracts, but LIMA results indicated that these rank exchanges were not significant.

CONCLUSIONS

When analyzing accessibility within a community using E2SFCA analyses, either DEA or SAMHSA data sources are acceptable; linkage to Kentucky's PDMP demonstrated that SAMHSA provider data is equally suitable to PDMP data for research studies involving spatial relationships with providers while being both significantly easier to obtain and less sensitive. When analyzing treatment provider rates per capita, results may vary substantially across these different data sources. Therefore, context must be considered when choosing an appropriate data source to use.

The incidence, providers involved, and patient factors associated with diagnosis of specific lumbar spine pathology subsequent an initial nonspecific low back pain diagnosis

BACKGROUND CONTEXT

Low back pain (LBP) is an exceedingly common diagnosis with significant societal and healthcare burden. While nonspecific LBP diagnoses are frequently assigned and often resolve soon thereafter, some patients may subsequently be diagnosed with specific underlying lumbar spine pathology.

PURPOSE

To characterize the incidence, providers involved, and factors associated with specific pathology LBP (SP-LBP) diagnosed subsequent an initial nonspecific LBP (NS-LBP) diagnosis.

STUDY DESIGN

Retrospective cohort study.

PATIENT SAMPLE

Adult patients diagnosed with NS-LBP between 2010 and Q1 2022 were abstracted from a large national administrative database.

OUTCOME MEASUREMENTS

Incidence of subsequent SP-LBP diagnoses, providers involved, and factors associated with SP-LBP diagnoses in the 12-months following initial NS-LBP diagnosis.

METHODS

Adult patients diagnosed with NS-LBP were identified based on International Classification of Disease (ICD) codes ICD-9-D-724.2 and ICD-10-D-M54.5. These patients diagnosed with new NS-LBP were reported based on incidence per 100,000 covered lives. Exclusion criteria included: patients less than 18 years old, those with any prior NS-LBP diagnosis, any prior SP-LBP diagnoses, and those with trauma, neoplasm, or infection diagnosed within 3-months prior to the initial NS-LBP diagnosis. Patients who subsequently received SP-LBP diagnoses within 12-months following initial NS-LBP were then identified. Patients were characterized based on age, sex, history of cancer, obesity, opioid use disorder, anxiety, and depression and then compared with patients receiving no additional LBP diagnosis by univariable and multivariable analysis. Provider specialties who initially diagnosed NS-LBP and those involved with subsequent SP-LBP diagnoses were identified.

RESULTS

NS-LBP was identified for a robust cohort of 6,861,235 patients, yielding an incidence of 4,258 diagnoses per 100,000 covered lives. Subsequent SP-LBP diagnoses were identified for 562,982 (8.21%) within 12-months, of which 62.57% of these SP-LBP diagnoses occurred within 3-months. The most common of these subsequent diagnoses included radiculopathy (3.01% of the overall study population), disc degeneration (2.84%), and disc herniation (1.23%). Patients receiving a subsequent SP-LBP diagnosis were more likely older (per year increase, odds ratio [OR] 1.02), male (OR 1.10), had a history of cancer (OR 1.32), obesity (OR 1.30), opioid use disorder (OR 1.17), anxiety (OR 1.21), or depression (OR 1.17) (p<.001 for all). NS-LBP was initially diagnosed predominantly by primary care providers (PCPs) in family medicine (44.09%) and internal medicine (27.49%). These PCP providers also contributed to the majority of SP-LBP diagnoses, while specialty providers contributed to a greater degree in SP-LBP diagnoses than NS-LBP.

CONCLUSION

NS-LBP is a common diagnosis that usually, 91.79% of the time, does not subsequently convert to a SP-LBP diagnosis within 12-months. This may reflect improvement of LBP symptoms and/or accurate initial triage, largely by PCPs. Of the minority of patients receiving a subsequent SP-LBP diagnosis, various patient factors were significantly associated, and a greater degree of specialty providers were involved, which highlights potential contributors to diagnostic difficulty of SP-LBP and the multidisciplinary nature of LBP management.

Emergency department utilization of the methadone "72-hour rule" to bridge or initiate and link to outpatient treatment

STUDY OBJECTIVE

The "72-h rule" allows emergency department (ED) physicians to administer methadone as an induction or bridge while referring to treatment. We aimed to evaluate an ED-based program designed to increase methadone access.

METHODS

We reviewed ED encounters involving methadone administration between January and August 2021. We characterized this cohort and examined the linkage and 30-day retention rates of patients linked to our partner opioid treatment program (OTP). We used logistic regression models to identify predictors of successful linkage and retention.

RESULTS

Methadone was administered during 597 encounters with 300 unique patients. Patients presenting for a methadone dose had lengths of stay (LOS) comparable to other low acuity patients. Ninety-one percent of patients presenting for a "guest dose" continued treatment after discharge. 39 patients were initiated on methadone; 56 % completed linkage, and of those 100 % were in treatment at 30 days. A chief complaint of "methadone dose" was predictive of successful linkage and additional opioid requirement or a longer ED LOS was predictive of unsuccessful linkage.

CONCLUSIONS

ED-based methadone "guest dosing," initiation, and bridging with linkage to care can increase access to MOUD. Most patients were seen for "guest dosing," and the majority remained in treatment at 30 days. A small sample was initiated on methadone and discharged from the ED. In this limited group, initial linkage and 30-day retention rates were similar to those of inpatient methadone initiation and ED-based buprenorphine initiation. Further study of ED-based methadone initiation is warranted.

"I still can feel the sickness": Withdrawal experiences of people on methadone maintenance treatment

INTRODUCTION

Opioid withdrawal is a regular occurrence for many people who use illicit opioids (PWUIO) involving acute physical and psychological pain. Yet, there is very little data on the withdrawal experience of people in methadone maintenance treatment (MMT) and almost none from the patients' experience. Learning more about patients' withdrawal experiences can help to inform policies and practices that are better suited to address withdrawal and may improve patient satisfaction as well as uptake and retention.

METHODS

This article is based on 29 semi-structured interviews with people who use illicit opioids who reported recent withdrawal experience. The study conducted interviews remotely via Zoom between April and August 2022 and later transcribed them professionally. The study team then coded data thematically using Atlas.ti, based on a combination of inductive and deductive coding strategies and informed by the literature and study aims.

RESULTS

Participants described withdrawal as a significant issue that negatively impacts their treatment experience and increases the likelihood of treatment cessation. Their accounts of withdrawal were complex and often involved multiple factors; however, feeling underdosed and missing clinic dosing hours were seen as important vectors that led to their withdrawal experiences. Importantly, participants framed feeling underdosed and missing clinic dosing hours as institutional problems, resulting primarily from clinic policies, practices, and culture rather than from patients' decisions or individual behavior. Specifically, they cited restricted access to take-home doses, limited hours of operation, and a punitive focus on complete abstinence as factors that made withdrawal difficult to avoid.

CONCLUSIONS

Patients' accounts demonstrate a disconnect between providers' focus on promoting complete abstinence and patients, who were often using MMT for more pragmatic reasons that did not include complete abstinence from all drugs. These findings support growing calls for the integration of MMT into the mainstream healthcare system by making it available via prescription from office-based medical settings and dispensed through pharmacies.

Opioid Use Disorder and Neonatal Opioid Withdrawal Syndrome in Rural Environments

Rural communities in the United States have seen a steep rise in opioid use disorder (OUD) during pregnancy, with a parallel increase in neonatal opioid withdrawal syndrome (NOWS). The birthing person-infant dyads affected by OUD and NOWS in rural areas face many barriers to accessing care. Innovative approaches have proven successful in improving health outcomes for affected birthing persons and newborns, but more work is needed to continue to improve access to prevention, treatment, and additional support services for this vulnerable population.

MOUD use among Hispanic clients increased post-ACA, yet differed by heritage and geographic location

BACKGROUND

Overdose death rates for Hispanic people rose 2010-2022. Opioid overdose rates grew faster among Hispanic people than non-Hispanic White people ("White"). Medication for opioid use disorder (MOUD) is an effective but underutilized intervention for decreasing overdose risk. The Affordable Care Act ("ACA") should have increased MOUD use, but insurance and behavioral health reforms differed by state. We examined to what extent MOUD use increased post-ACA implementation and differed for Hispanic people (overall and by heritage group) compared to White people who used opioids ("clients").

METHODS

We analyzed first annual ambulatory care episodes (TEDS-A, 2009-2019) for working-age Hispanic (N= 76,591) and White (N=444,753) clients. We categorized Hispanic clients by heritage group (Puerto Rican, Mexican, or Other Hispanic). We grouped states by Medicaid expansion status (California, Other Expansion States, and Non-Expansion States). We used logistic regression to compare the odds of MOUD use pre/post ACA within racial/heritage groups, and, separately, between racial/heritage groups using pre-ACA White clients as a reference group. We used linear probability difference-in-differences to confirm changes in MOUD use between Hispanic and White clients.

RESULTS

Among Hispanic clients in ambulatory care, MOUD use was lowest in the Non-Expansion States and highest in California. Nationally, only Puerto Rican and Other Hispanic heritage clients had higher odds of MOUD post-ACA compared to pre-ACA. Nationally and in Other Expansion States, Hispanic and White clients had similar increases in MOUD use post-ACA.

CONCLUSIONS

MOUD use among Hispanic clients rose post-ACA, but differences remained between Hispanic heritage groups and between states.

Understanding MAT access in the context of unused MAT capacity in the United States: when increasing rural MAT capacity is not enough

BACKGROUND

Section 1262 Consolidated Appropriations Act of 2023 eliminates the federal DATA waiver registration requirement to prescribe buprenorphine for opioid use disorder (OUD), along with patient limits, perhaps as a way to increase provider capacity to prescribe buprenorphine. Understanding the factors that influence provider capacity, patient access, and whether community need for MAT is met could inform how to capitalize on DATA waiver eliminations in the United States.

METHODS

This observational study utilized required reporting from two cohorts of the Rural Communities Opioid Response Program (RCORP). Consortia (N = 80) provided data on OUD/SUD-related services, service area information, consortium membership, and grant progress, including barriers to and facilitators of achievements. These data were combined with National Survey of Drug Use and Health (NSDUH) and U.S. Census Bureau's 2016-2020 American Community Survey (ACS) 5-Year Estimates Data to examine MAT capacity, access, and service area need.

RESULTS

A 79% increase in potential buprenorphine prescribers from 2019 to 2022 resulted in 1,060 rural providers with the ability to prescribe buprenorphine. The number of individuals who received MAT increased by 42% over the same three years, with over 20,000 individuals receiving MAT by the end of the funding period. While both capacity and access did increase, an additional 11,454 individuals could have potentially received buprenorphine if all waivered providers prescribed to a conservative patient limit of thirty patients. 70% of consortia provided MAT to at least 11.5% of their estimated service area need (national rate of MAT provision among individuals 18 years and older with an OUD), indicating unused MAT capacity was not related to lack of service area need. Provider (e.g., concerns of clinical complexity), patient (e.g., mistrust of the healthcare system), pharmacy (e.g., cost concerns), and pharmacist (e.g., stigma) barriers impacted MAT provision and availability.

CONCLUSION

MAT treatment capacity is a necessary but not exclusive requirement for increasing access to MAT. Addressing the multi-faceted barriers to prescribing MAT, particularly buprenorphine, will be critical to ensure the Consolidated Appropriations Act of 2023 does in fact result in a larger workforce that actually prescribes buprenorphine and a pharmacy system that stocks these medications.

Factors Associated With the Availability of Medications for Opioid Use Disorder in US Jails

Importance

In 2023, more than 80 000 individuals died from an overdose involving opioids. With almost two-thirds of the US jail population experiencing a substance use disorder, jails present a key opportunity for providing lifesaving treatments, such as medications for opioid use disorder (MOUD).

Objectives

To examine the prevalence of MOUD in US jails and the association of jail- and county-level factors with MOUD prevalence using a national sample.

Design, Setting, and Participants

This survey study used a nationally representative cross-sectional survey querying 1028 jails from June 2022 to April 2023 on their provision of substance use disorder treatment services. The survey was conducted via mail, phone, and the internet. County-level data were linked to survey data, and binary logistic regressions were conducted to assess the probability that a jail offered any treatment and MOUD. A stratified random sample of 2791 jails identified by federal lists of all jails in the US was invited to participate. Staff members knowledgeable about substance use disorder services available in the jail completed the survey.

Exposures

US Census region, urbanicity, jail size, jail health care model (direct employees or contracted), county opioid overdose rate, county social vulnerability (measured using the Centers for Disease Control and Prevention 2020 Social Vulnerability Index summary ranking, which ranks counties based on 16 social factors), and access to treatment in the county were assessed.

Main Outcomes and Measures

Availability of any type of substance use disorder treatment (eg, self-help meetings), availability of MOUD (ie, buprenorphine, methadone, and naltrexone) to at least some individuals, and availability of MOUD to any individual with an OUD were assessed.

Results

Of 2791 invited jails, 1028 jails participated (36.8% response rate). After merging the sample with county data, 927 jails were included in analysis, representative of 3157 jails nationally after weighting; most were from nonmetropolitan counties (‭1756 jails [55.6%; 95% CI, 52.3%-59.0%]) and had contracted health care services (1886 jails [59.7%; 95% CI, 56.5%-63.0%]); fewer than half of these jails (1383 jails [43.8%; 95% CI, 40.5%-47.1%]) offered MOUD to at least some individuals, and 405 jails (12.8%; 95% CI, 10.7% to 14.9%) offered MOUD to anyone with an OUD. Jails located in counties with lower social vulnerability (adjusted odds ratio per 1-percentile increase = 0.28; 95% CI, 0.19-0.40) and shorter mean distances to the nearest facility providing MOUD (adjusted odds ratio per 1-SD increase, 0.80; 95% CI, 0.72-0.88) were more likely to offer MOUD.

Conclusions and relevance

In this study, few jails indicated offering frontline treatments despite being well positioned to reach individuals with an OUD. These findings suggest that efforts and policies to increase MOUD availability in jails and the surrounding community may be associated with helping more individuals receive treatment.

Spatial inequities in access to medications for treatment of opioid use disorder highlight scarcity of methadone providers under counterfactual scenarios

Access to treatment and medication for opioid use disorder (MOUD) is essential in reducing opioid use and associated behavioral risks, such as syringe sharing among persons who inject drugs (PWID). Syringe sharing among PWID carries high risk of transmission of serious infections such as hepatitis C and HIV. MOUD resources, such as methadone provider clinics, however, are often unavailable to PWID due to barriers like long travel distance to the nearest methadone provider and the required frequency of clinic visits. The goal of this study is to examine the uncertainty in the effects of travel distance in initiating and continuing methadone treatment and how these interact with different spatial distributions of methadone providers to impact co-injection (syringe sharing) risks. A baseline scenario of spatial access was established using the existing locations of methadone providers in a geographical area of metropolitan Chicago, Illinois, USA. Next, different counterfactual scenarios redistributed the locations of methadone providers in this geographic area according to the densities of both the general adult population and according to the PWID population per zip code. We define different reasonable methadone access assumptions as the combinations of short, medium, and long travel distance preferences combined with three urban/suburban travel distance preference. Our modeling results show that when there is a low travel distance preference for accessing methadone providers, distributing providers near areas that have the greatest need (defined by density of PWID) is best at reducing syringe sharing behaviors. However, this strategy also decreases access across suburban locales, posing even greater difficulty in regions with fewer transit options and providers. As such, without an adequate number of providers to give equitable coverage across the region, spatial distribution cannot be optimized to provide equitable access to all PWID. Our study has important implications for increasing interest in methadone as a resurgent treatment for MOUD in the United States and for guiding policy toward improving access to MOUD among PWID.

Association between Individual versus Community-level Social Vulnerability and Neonatal Opioid Withdrawal Syndrome among Pregnant Individuals Receiving Buprenorphine for Opioid Use Disorder

OBJECTIVE

 Individual patient-level measures of adverse social determinants of health are associated with neonatal opioid withdrawal syndrome (NOWS), but the relative impact of community-level adverse social determinants of health remains to be defined. We examined the association between community-level social vulnerability and NOWS among pregnant individuals receiving buprenorphine for opioid use disorder.

STUDY DESIGN

 We conducted a secondary analysis of an established cohort of pregnant individuals and their infants participating in a multidisciplinary prenatal/addiction care program from 2013 to 2021. Addresses were geocoded using ArcGIS and linked at the census tract to the Centers for Disease Control and Prevention 2018 Social Vulnerability Index (SVI), incorporating 15 census variables. The primary exposure was the SVI as a composite measure of community-level social vulnerability, and secondarily, individual scores for four thematic domains (socioeconomic status, household composition and disability, minority status and language, and housing type and transportation). The primary outcome was a clinical diagnosis of NOWS defined as withdrawal requiring pharmacological treatment following buprenorphine exposure.

RESULTS

 Among 703 pregnant individuals receiving buprenorphine, 39.8% (280/703) of infants were diagnosed with NOWS. Among our patinets, those who were nulliparous, had post-traumatic stress disorder, a term birth (≥ 37 weeks) and had a male infant were more likely to have an infant diagnosed with NOWS. Individuals with and without an infant diagnosed with NOWS had similarly high community-level social vulnerability per composite SVI scores (mean [standard deviation]: 0.6 [0.4-0.7] vs. 0.6 [0.4-0.7], p = 0.2]. In adjusted analyses, SVI, as a composite measure as well as the four domains, was not associated with NOWS diagnosis.

CONCLUSION

 Among pregnant persons receiving buprenorphine enrolled in a multidisciplinary prenatal and addition care program, while individual risk factors that measure adverse social determinants of health were associated with an NOWS diagnosis in the infant, community-level social vulnerability as measured by the SVI was not associated with the outcome.

KEY POINTS

· Community-level SVI was not associated with neonatal opioid use disorder.. · Certain individual risk factors were identified as being associated with NOWS.. · Homogeneity of composite SVI scores may have led to lack of significant findings..

Access to Medications for Opioid Use Disorder During COVID-19: Retrospective Study of Commercially Insured Patients from 2019-2022

INTRODUCTION

This study assesses disparities in medications for opioid use disorder in adults with opioid use disorder and examines the associations between state-level COVID-19 lockdown and telehealth policies and medications for opioid use disorder utilization rates during the COVID-19 pandemic.

METHODS

This retrospective cohort study of 396,872 adults with opioid use disorder analyzed monthly medications for opioid use disorder utilization rates between January 2019 and June 2022 using data from Clinformatics Data Mart Database. Primary outcome measure was monthly medications for opioid use disorder utilization rates. Variables of interest were patients' demographics and state-level characteristics (telehealth policies for controlled substance prescribing, COVID-19 lockdown policy, and registered buprenorphine providers/100,000). In multivariable analyses, time trend was grouped into four time periods: before COVID-19, early COVID-19, early vaccine, and Omicron-related COVID-19 surge and thereafter.

RESULTS

Medications for opioid use disorder rates increased from a 1.2% change in slope monthly on a log scale to 2% monthly from February 2021 to October 2021, after which the utilization rate increased to a lesser degree. Women had 28% lower odds of receiving medications for opioid use disorder than men; Hispanic, Black, and Asian patients had 40%, 34%, and 32% lower odds of receiving medications for opioid use disorder than White patients, respectively. These sex and racial disparities persisted throughout the pandemic. Regional medications for opioid use disorder rate differences, mediated by buprenorphine providers/100,000 state population, decreased during the pandemic. States with telehealth policies for controlled substance prescribing had greater percentages of patients on medications for opioid use disorder (11.7%) than states without such policies (10.4%).

CONCLUSIONS

Monthly medications for opioid use disorder rates increased during the pandemic, with higher rates in men, White individuals, and residents of the Northeast region. States with policies permitting telehealth prescribing of controlled substances also had higher medications for opioid use disorder rates, supporting a future expansion of medications for opioid use disorder-related telehealth to improve access to care.

Barriers to opioid use disorder treatment among people who use drugs in the rural United States: A qualitative, multi-site study

BACKGROUND

In 2020, 2.8 million people required substance use disorder (SUD) treatment in nonmetropolitan or 'rural' areas in the U.S. Among this population, only 10% received SUD treatment from a specialty facility, and 1 in 500 received medication for opioid use disorder (MOUD). We explored the context surrounding barriers to SUD treatment in the rural United States.

METHODS

We conducted semi-structured, in-depth interviews from 2018 to 2019 to assess barriers to SUD treatment among people who use drugs (PWUD) across seven rural U.S. study sites. Using the social-ecological model (SEM), we examined individual, interpersonal, organizational, community, and policy factors contributing to perceived barriers to SUD treatment. We employed deductive and inductive coding and analytical approaches to identify themes. We also calculated descriptive statistics for participant characteristics and salient themes.

RESULTS

Among 304 participants (55% male, mean age 36 years), we identified barriers to SUD treatment in rural areas across SEM levels. At the individual/interpersonal level, relevant themes included: fear of withdrawal, the need to "get things in order" before entering treatment, close-knit communities and limited confidentiality, networks and settings that perpetuated drug use, and stigma. Organizational-level barriers included: strict facility rules, treatment programs managed like corrections facilities, lack of gender-specific treatment programs, and concerns about jeopardizing employment. Community-level barriers included: limited availability of treatment in local rural communities, long distances and limited transportation, waitlists, and a lack of information about treatment options. Policy-level themes included insurance challenges and system-imposed barriers such as arrest and incarceration.

CONCLUSION

Our findings highlight multi-level barriers to SUD treatment in rural U.S. communities. Salient barriers included the need to travel long distances to treatment, challenges to confidentiality due to small, close-knit communities where people are highly familiar with one another, and high-threshold treatment program practices. Our findings point to the need to facilitate the elimination of treatment barriers at each level of the SEM in rural America.

Accessibility of Opioid Treatment Programs Based on Conventional vs Perceived Travel Time Measures

Importance

Transportation barriers have long been associated with poorer health outcomes; this burden is especially acute for individuals with opioid use disorder (OUD), a chronic disease often associated with low socioeconomic status. Conventional travel time analyses may not fully account for experiential components of travel, thereby understating the true travel burden and overstating treatment accessibility to opioid treatment programs (OTPs).

Objective

To develop a metric of feels-like accessibility for those using public transit to access OTPs that accounts for the realistic travel burden on individuals with OUD.

Design, Setting, and Participants

This cross-sectional study integrated high-resolution transit schedules and operating hours of OTPs to measure feels-like accessibility. Feels-like accessibility considers the differential outcomes of out-of-vehicle travel components and more realistically reflects individuals' transportation burden than conventional accessibility measures. Gini indices and spatial regression models were used to investigate inequities in accessibility. Geocoded data for residential addresses of 1018 overdose fatalities in Connecticut in 2019 were used as a proxy for the treatment needs of individuals with OUD. Data were analyzed between May and August 2023.

Main Outcomes and Measures

Conventional and feels-like accessibility scores.

Exposures

Fluctuations in public transit frequencies over the course of the day and the limited operating hours of the OTPs.

Results

Of the 1018 individuals in the study, the mean (SD) age at death was 43.7 (12.6) years, 784 individuals (77%) were men, 111 (11%) were African American, and 889 (87%) were White, with other racial and ethnic categories including 18 individuals (2%). A total of 264 individuals in the sample (26%) could not access an OTP within 180 minutes. For those who could access these facilities, the average 1-way travel time was 45.6 minutes, with individuals spending approximately 70% of their trip duration on out-of-vehicle travel components. The conventional accessibility metric underestimates individuals' travel burden to OTPs as well as the inequity in accessibility compared with the feels-like accessibility metric. For example, the median (range) conventional accessibility score, defined as the number of OTPs within 120 minutes of transit travel time, was 5.0 (0.0-17.0); the median (range) feels-like accessibility score, defined as the number of OTPs within 120 minutes of transit travel time weighted to account for in- and out-of-vehicle segments, was 1.0 (0.0-10.0). There is a considerable temporal variation in travel time and accessibility depending on the departure times.

Conclusions and Relevance

In this cross-sectional study of travel burdens, the calculated feels-like accessibility scores, which consider the differential outcomes of out-of-vehicle travel components (eg, walking and waiting), could better and more realistically reflect passengers' transportation burden. Policy recommendations derived from the conventional accessibility metric could be misleading, and decision-makers should use feels-like accessibility metrics that adequately capture individuals' travel burdens. In the context of access to OTPs, the findings from this study suggest that opening new OTP sites to address gaps in access due to distance to services or extending hours of operation at existing sites may ameliorate the travel burden for individuals.

An Evaluation of the User Experience and Privacy Concerns of Individuals Misusing Opioids Using a Location Tracking Mobile Application

Opioid use disorder is a growing public health concern in the United States, causing economic burden and hindered by stigma. New forms of data, including location data, may improve the effectiveness of interventions for preventing and treating opioid use disorder and/or misuse, increase access to treatment and address racial and ethnic disparities. This qualitative study aimed to identify factors that contribute to users' experience with a publicly available location-tracking mobile app - and investigate their privacy and ethical concerns. The study was conducted through two 15-minute interviews within a 48-h time frame. Participants were recruited from a pool of past research participants, Facebook ads, and referrals, and had to meet certain inclusion criteria related to opioid use disorder and/or misuse. The study had a final sample of 30 participants, 15 male and 15 female. The study suggests that a simple onboarding process and convenient experience can enhance participant adherence to the study app and other similar location-based research apps. However, the study also found that participants had concerns about privacy and transparency about locational privacy when sharing their location data. To improve the app, researchers suggest incorporating user behavior earlier in the app development stage. The study also highlights the importance of addressing ethical and privacy concerns such as limiting the types of collected data, incorporating data encryption and retention strategies, giving access to research staff only, and not sharing the data with third-party companies or law enforcement agencies to increase user satisfaction.

Spatial inequities in access to medications for treatment of opioid use disorder highlight scarcity of methadone providers under counterfactual scenarios

Access to treatment and medication for opioid use disorder (MOUD) is essential in reducing opioid use and associated behavioral risks, such as syringe sharing among persons who inject drugs (PWID). Syringe sharing among PWID carries high risk of transmission of serious infections such as hepatitis C and HIV. MOUD resources, such as methadone provider clinics, however, are often unavailable to PWID due to barriers like long travel distance to the nearest methadone provider and the required frequency of clinic visits. The goal of this study is to examine the uncertainty in the effects of travel distance in initiating and continuing methadone treatment and how these interact with different spatial distributions of methadone providers to impact co-injection (syringe sharing) risks. A baseline scenario of spatial access was established using the existing locations of methadone providers in a geographical area of metropolitan Chicago, Illinois, USA. Next, different counterfactual scenarios redistributed the locations of methadone providers in this geographic area according to the densities of both the general adult population and according to the PWID population per zip code. We define different reasonable methadone access assumptions as the combinations of short, medium, and long travel distance preferences combined with three urban/suburban travel distance preference. Our modeling results show that when there is a low travel distance preference for accessing methadone providers, distributing providers near areas that have the greatest need (defined by density of PWID) is best at reducing syringe sharing behaviors. However, this strategy also decreases access across suburban locales, posing even greater difficulty in regions with fewer transit options and providers. As such, without an adequate number of providers to give equitable coverage across the region, spatial distribution cannot be optimized to provide equitable access to all PWID. Our study has important implications for increasing interest in methadone as a resurgent treatment for MOUD in the United States and for guiding policy toward improving access to MOUD among PWID.

Postpartum medication for opioid use disorder outcomes associated with prenatal treatment and neighborhood-level social determinants

BACKGROUND

Opioid use disorder is a leading cause of death through the year postpartum.

OBJECTIVE

This study aimed to identify the association of neighborhood-level social determinants of health and prenatal opioid use disorder treatment receipt with the outcomes of medication treatment for opioid use disorder through the year postpartum among a cohort of birthing people.

STUDY DESIGN

This was a population-based retrospective cohort study that used state Medicaid claims and enrollment data for the 1690 individuals who delivered a live infant between July 1, 2016 and December 31, 2020 and received medication for opioid use disorder at delivery. The primary exposure was the state Health Opportunity Index, a composite measure of social determinants of health linked at the census-tract level. Secondary exposures included comprehensiveness of opioid use disorder treatment and duration of medication treatment for opioid use disorder received prenatally. Outcomes included the duration and continuity of postpartum medication treatment for opioid use disorder, operationalized as the time from delivery to the discontinuation of medication treatment for opioid use disorder, and percentage of days covered by medication treatment for opioid use disorder within the 12 months after delivery, respectively.

RESULTS

Within the study sample, 711 deliveries were to birthing people in the lowest state Health Opportunity Index tercile (indicating high burden of negative social determinants of health), 647 in the middle state Health Opportunity Index tercile, and 332 in the highest state Health Opportunity Index tercile. Using stepwise multivariable regression (Cox proportional hazards and negative binomial models) guided by a socioecological framework, prenatal receipt of more comprehensive opioid use disorder treatment and/or longer duration of prenatal medication treatment for opioid use disorder was associated with improved 1-year postpartum opioid use disorder treatment outcomes (duration and continuity of medication treatment for opioid use disorder). When the state Health Opportunity Index was added to the models, these significant associations remained stable, with the state Health Opportunity Index not demonstrating an association with the outcomes (duration hazard ratio, 1.39; 95% confidence interval, 0.551-3.512; continuity relative risk, 1.024; 95% confidence interval, 0.323-3.247).

CONCLUSION

Targeted efforts at expanding access to and quality of evidence-based opioid use disorder treatments for reproductive-age people across the life course should be prioritized within the spectrum of work aimed at eradicating disparities in pregnancy-related mortality.

Methadone prescribing by addiction specialists likely to leave communities without available methadone treatment

Methadone treatment for opioid use disorder is not available in most suburban and rural US communities. We examined 2 options to expand methadone availability: (1) addiction specialty physician or (2) all clinician prescribing. Using 2022 Health Resources and Services Administration data, we used mental health professional shortage areas to indicate the potential of addiction specialty physician prescribing and the location of federally qualified health centers (ie, federally certified primary care clinics) to indicate the potential of all clinician prescribing. We examined how many census tracts without an available opioid treatment program (ie, methadone clinic) are (1) located within a mental health professional shortage area and (2) are also without an available federally qualified health center. Methadone was available in 49% of tracts under current regulations, 63% of tracts in the case of specialist physician prescribing, and 86% of tracts in the case of all clinician prescribing. Specialist physician prescribing would expand availability to an additional 12% of urban, 18% of suburban, and 16% of rural tracts, while clinician prescribing would expand to an additional 30% of urban, 53% of suburban, and 58% of rural tracts relative to current availability. Results support enabling broader methadone prescribing privileges to ensure equitable treatment access, particularly for rural communities.

The association between community social vulnerability and prescription opioid availability with individual opioid overdose

BACKGROUND

This study aims to assess the association of community social vulnerability and community prescription opioid availability with individual non-fatal or fatal opioid overdose.

METHODS

We identified patients 12 years of age or older from the Oregon All Payer Claims database (APCD) linked to other public health datasets. Community-level characteristics were captured in an exposure period (EP) (1/1/2018-12/31/2018) and included: census tract-level social vulnerability domains (socio-economic status, household composition, racial and ethnic minority status, and housing type and transportation), census tract-level prescriptions and community-level opioid use disorder (OUD) diagnoses per 100 capita binned into quartiles or quintiles. We employed Cox models to estimate the risk of fatal and non-fatal opioid overdoses events in the 12 months following the EP.

MAIN FINDINGS

We identified 1,548,252 individuals. Patients were mostly female (54%), White (61%), commercially insured (54%), and lived in metropolitan areas (81%). Of the total sample, 2485 (0.2%) experienced a non-fatal opioid overdose and 297 died of opioid overdose. There was higher hazard for non-fatal overdose in communities with greater OUD per 100 capita. We also found higher non-fatal and fatal hazards for opioid overdose among patients in communities with higher housing type and transportation-related vulnerability compared to the lowest quintile. Conversely, patients were at less risk of opioid overdose when living in communities with greater prevalence of the young or the elderly, the disabled, single parent families or low English proficiency.

CONCLUSION

These findings underscore the importance of the environmental context when considering public health policies to reduce opioid harms.

Changes in opioid prescribing in veterans with headache during the COVID-19 pandemic: A regression discontinuity in time analysis

OBJECTIVE

To determine changes in opioid prescribing among veterans with headaches during the coronavirus disease of 2019 (COVID-19) pandemic by comparing the stay-at-home phase (March 15 to May 30, 2020) and the reopening phase (May 31 to December 31, 2020).

BACKGROUND

Opioid prescribing for chronic pain has declined substantially since 2016; however, changes in opioid prescribing during the COVID-19 pandemic among veterans with headaches remain unknown.

METHODS

This retrospective cohort study utilized regression discontinuity in time and difference-in-differences design to analyze veterans aged ≥18 years with a previous diagnosis of headache disorders and an outpatient visit to the Veterans Health Administration (VHA) during the study period. We measured the weekly number of opioid prescriptions, the number of days supplied, the daily dose in morphine milligram equivalents (MMEs), and the number of prescriptions with ≥50 morphine equivalent daily doses (MEDD).

RESULTS

A total of 81,376 veterans were analyzed with 589,950 opioid prescriptions. The mean (SD) age was 51.6 (13.5) years, 57,242 (70.3%) were male, and 53,464 (65.7%) were White. During the pre-pandemic period, 323.6 opioid prescriptions (interquartile range 292.1-325.8) were dispensed weekly, with an median (IQR) of 24.1 (24.0-24.4) days supplied and 31.8 (31.2-32.5) MMEs. Transition to stay-at-home was associated with a 7.7% decrease in the number of prescriptions (incidence rate ratio [IRR] 1.077, 95% confidence interval [CI] 0.866-0.984) and a 9.8% increase in days supplied (IRR 1.098, 95% CI 1.078-1.119). Similar trends were observed during the reopening period. Subgroup analysis among veterans on long-term opioid therapy also revealed 1.7% and 1.4% increases in days supplied during the stay-at-home (IRR 1.017, 95% CI 1.009-1.025) and reopening phase (IRR 1.014, 95% CI 1.007-1.021); however, changes in the total number of prescriptions, MME/day, or the number of prescriptions >50 MEDD were insignificant.

CONCLUSION

Prescription opioid access was maintained for veterans within VHA during the pandemic. The de-escalation of opioid prescribing observed prior to the pandemic was not seen in our study.

Drive Time to Addiction Treatment Facilities Providing Contingency Management across Rural and Urban Census Tracts in 6 US States

OBJECTIVE

We examined drive times to outpatient substance use disorder treatment providers that provide contingency management (CM) and those that integrate CM with medication for opioid use disorder (MOUD) services in 6 US states.

METHODS

We completed cross-sectional geospatial analysis among census tracts in Delaware, Louisiana, Massachusetts, North Carolina, New York, and West Virginia. We excluded census tracts with a population of zero. Using data from the 2020 Shatterproof substance use treatment facility survey, our outcome was the minimum drive time in minutes from the census tract mean center of population to the nearest outpatient CM provider, outpatient CM provider with MOUD services, and federally qualified health centers (FQHC). We stratified census tracts by 2010 Rural-Urban Commuting Area codes and by state.

RESULTS

The population was greater than zero in 11,719 of 11,899 census tracts. The median drive time to the nearest CM provider was 12.2 [interquartile range (IQR), 7.0-23.5) minutes and the median drive time to the nearest CM provider increased from 9.7 (IQR, 6.0-15.0) minutes in urban census tracts to 38.8 (IQR, 25.4-53.0) minutes in rural ( H = 3683, P < 0.001). The median drive time increased to the nearest CM provider with MOUD services [14.2 (IQR, 7.9-29.5) minutes, W = 18,877, P < 0.001] and decreased to the nearest FQHC [7.9 (IQR, 4.3-13.6) minutes, W = 11,555,894, P < 0.001].

CONCLUSIONS

These results suggest limited availability of CM, particularly within rural communities and for patients needing concurrent CM and MOUD treatment. Our results suggest greater adoption of CM within FQHCs could reduce urban-rural disparities in CM availability.

Rethinking urban-rural designations in public health surveillance of the overdose crisis and crafting an agenda for future monitoring

Rurality has served as a key concept in popular and scientific understandings of the US overdose crisis, with White, rural, and low-income areas thought to be most heavily affected. However, we observe that overdose trends have risen nearly uniformly across the urban-rural designations employed in most research, implying that their importance has likely been overstated or incorrectly conceptualized. Nevertheless, urbanicity/rurality does serve as a key axis to understand inequalities in overdose mortality when assessed with more nuanced modalities-employing a more granular analysis of geography at the sub-county level, and intersecting rurality sociodemographic indices such as race/ethnicity. Using national overdose data from 1999-2021, we illustrate the intersectional importance of rurality for overdose surveillance. Finally, we offer recommendations for integrating these insights into drug overdose surveillance moving forward.

Patient and Community Factors Affecting Treatment Access for Opioid Use Disorder

OBJECTIVE

To examine whether access to treatment for women with opioid use disorder (OUD) varied by race and ethnicity, community characteristics, and pregnancy status.

METHODS

We conducted a secondary data analysis of a simulated patient caller study of buprenorphine-waivered prescribers and opioid-treatment programs in 10 U.S. states. We conducted multivariable analyses, accounting for potential confounders, to evaluate factors associated with likelihood of successfully securing an appointment. Descriptive statistics and significance testing examined 1) caller characteristics and call outcome by assigned race and ethnicity and clinic type (combined, opioid-treatment programs, and buprenorphine-waivered prescribers) and 2) clinic and community characteristics and call outcome by community race and ethnicity distribution (majority White vs majority Black, Hispanic, Asian, American Indian, Alaska Native, Native Hawaiian, or Pacific Islander) and clinic type. A multiple logistic regression model was fitted to assess the likelihood of obtaining an appointment by callers' race and ethnicity and pregnancy status with the exposure of interest being majority Black, Hispanic, Asian, American Indian, Alaska Native, Native Hawaiian, or Pacific Islander community distribution.

RESULTS

In total, 3,547 calls reached clinics to schedule appointments. Buprenorphine-waivered prescribers were more likely to be in communities that were more than 50% White (88.9% vs 77.3%, P<.001), and opioid-treatment programs were more likely to be in communities that were less than 50% White (11.1% vs 22.7%, P<.001). Callers were more likely to be granted appointments in majority Black, Hispanic, Asian, American Indian, Alaska Native, Native Hawaiian, or Pacific Islander communities (adjusted odds ratio [aOR] 1.06, 95% CI 1.02-1.10 per 10% Black, Hispanic, Asian, American Indian, Alaska Native, Native Hawaiian, or Pacific Islander community population) and at opioid-treatment programs (aOR 4.94, 95% CI 3.52-6.92) and if they were not pregnant (aOR 1.79, 95% CI 1.53-2.09).

CONCLUSION

Clinic distribution and likelihood of acceptance for treatment varied by community race and ethnicity distribution. Access to treatment for OUD remains challenging for pregnant people and in many historically marginalized U.S. communities.

Methods for jurisdictional vulnerability assessment of opioid-related outcomes

In 2020, an estimated 2.7 million people in the US had opioid use disorder, increasing their risk of opioid-related morbidity and mortality. While jurisdictional vulnerability assessments (JVA) of opioid-related outcomes have been conducted previously in the US, there has been no unifying methodological framework. Between 2019 and 2021, we prepared ten JVAs, in collaboration with the Council of State and Territorial Epidemiologists, the Centers for Disease Control and Prevention, and state public health agencies, to evaluate the risk for opioid-involved overdose (OOD) fatalities and related consequences. Our aim is to share the framework we developed for these ten JVAs, based on our study of the work of Van Handel et al. from 2016, as well as a summary of 18 publicly available assessments of OOD or associated hepatitis C virus infection vulnerability. We developed a three-tiered framework that can be applied by jurisdictions based on the number of units of analysis (e.g., counties, ZIP Codes, census tracts): under 10 (Tier 1), 10 to <50 (Tier 2), and 50 or more (Tier 3). We calculated OOD vulnerability indices based on variable ranks, weighted variable ranks, or multivariable regressions, respectively, for the three tiers. We developed thematic maps, conducted spatial analyses, and visualized service provider locations, drive-time service areas, and service accessibility relative to OOD risk. The methodological framework and examples of our findings from several jurisdictions can be used as a foundation for future assessments and help inform policies to mitigate the impact of the opioid overdose crisis.

Telehealth for opioid use disorder: retention as a function of demographics and rurality

Background: Despite lifesaving medications such as buprenorphine and methadone, the majority of individuals with opioid use disorder (OUD) face access barriers to evidence-based treatment. COVID-19 era regulatory reforms have shown that telehealth can improve access to care, although disparities in clinical outcomes are likely to persist.Objective: We aimed to analyze 180-day and 365-day retention in treatment with buprenorphine for OUD overall and by demographics, hypothesizing that retention would be lower among racial/ethnic minorities and rural patients.Methods: We analyzed data from a cohort of individuals with OUD enrolled in treatment from April 1, 2020 to September 30, 2021, in Pennsylvania and New York using a virtual-first telehealth OUD treatment platform to assess rates of 180-day and 365-day retention. Associations between demographic characteristics and retention were assessed using unadjusted and adjusted logistic regression models.Results: Among 1,378 patients (58.8% male), 180-day retention was 56.4%, and 365-day retention was 48.3%. Adjusted analyses found that only an association between older age and greater odds of 180-day retention was significant (aOR for patients aged 30-50 vs. <30: 1.83 [1.37-2.45]). There were no significant associations between sex, race/ethnicity, state, or rurality with retention.Conclusion: While we were unable to control for socioeconomic variables, we found retention within telehealth services for buprenorphine was high irrespective of geography or race/ethnicity, but disparities with age indicate a subset of patients who may benefit from more intensive services early in care.

The Impact of COVID-19 on Opioid-Related Overdose Deaths in Texas

Prior to the COVID-19 pandemic, the United States was facing an epidemic of opioid overdose deaths, clouding accurate inferences about the impact of the pandemic at the population level. We sought to determine the existence of increases in the trends of opioid-related overdose (ORO) deaths in the Greater Houston metropolitan area from January 2015 through December 2021, and to describe the social vulnerability present in the geographic location of these deaths. We merged records from the county medical examiner's office with social vulnerability indexes (SVIs) for the region and present geospatial locations of the aggregated ORO deaths. Time series analyses were conducted to determine trends in the deaths, with a specific focus on the years 2019 to 2021. A total of 2660 deaths were included in the study and the mean (standard deviation, SD) age at death was 41.04 (13.60) years. Heroin and fentanyl were the most frequent opioids detected, present in 1153 (43.35%) and 1023 (38.46%) ORO deaths. We found that ORO deaths increased during the years 2019 to 2021 (p-value ≤ 0.001) when compared with 2015. Compared to the year 2019, ORO deaths increased for the years 2020 and 2021 (p-value ≤ 0.001). The geographic locations of ORO deaths were not associated with differences in the SVI. The COVID-19 pandemic had an impact on increasing ORO deaths in the metropolitan Houston area; however, identifying the determinants to guide targeted interventions in the areas of greatest need may require other factors, in addition to community-level social vulnerability parameters.

Individual, interpersonal, and neighborhood measures associated with opioid use stigma: Evidence from a nationally representative survey

Despite growing awareness of opioid use disorder (OUD), fatal overdoses and downstream health conditions (e.g., hepatitis C and HIV) continue to rise in some populations. Various interrelated structural forces, together with social and economic determinants, contribute to this ongoing crisis; among these, access to medications for opioid use disorder (MOUD) and stigma towards people with OUD remain understudied. We combined data on methadone, buprenorphine, and naltrexone providers from SAMHSA's 2019 directory, additional naltrexone providers from Vivitrol's location finder service, with a nationally representative survey called "The AmeriSpeak survey on stigma toward people with OUD." Integrating the social-ecological framework, we focus on individual characteristics, personal and family members' experience with OUD, and spatial access to MOUD at the community level. We use nationally representative survey data from 3008 respondents who completed their survey in 2020. Recognizing that stigma is a multifaceted construct, we also examine how the process varies for different types of stigma, specifically perceived dangerousness and untrustworthiness, as well as social distancing measures under different scenarios. We found a significant association between stigma and spatial access to MOUD - more resources are related to weaker stigma. Respondents had a stronger stigma towards people experiencing current OUD (versus past OUD), and they were more concerned about OUD if the person would marry into their family (versus being their coworkers). Additionally, respondents' age, sex, education, and personal experience with OUD were also associated with their stigma, and the association can vary depending on the specific type of stigma. Overall, stigma towards people with OUD was associated with both personal experiences and environmental measures.

County-level sociodemographic differences in availability of two medications for opioid use disorder: United States, 2019

BACKGROUND

Differences in availability of medications for opioid use disorder (MOUD) buprenorphine and methadone exist. Factors that may influence such differences in availability include sociodemographic characteristics but research in this area is limited. We explore the association between county-level sociodemographic factors and MOUD treatment availability.

METHODS

County-level Drug Enforcement Administration (DEA) data were used to determine the presence or absence of buprenorphine treatment or opioid treatment programs (OTPs) and the level of availability of these types of treatment in a county. Hurdle models were used to examine the associations of our covariates with any MOUD treatment availability and level of available treatment.

RESULTS

The odds of a county having OTP availability were higher for counties with higher percentages of non-Hispanic Black and Hispanic populations and higher drug overdose death rates. Counties with higher percentages of persons in poverty and drug overdose death rates had higher odds of maximum potential buprenorphine treatment capacity, while counties with high percentages of persons without health insurance, with disability, and rural counties had lower odds.

CONCLUSIONS

There are significant differences in the county-level availability of OTPs and buprenorphine treatment. Our findings expand on prior studies illustrating that barriers to accessing treatment persist and are not evenly distributed among sociodemographic groups, further study is needed to examine if barriers of availability translate to barriers in receiving treatment. Given the escalating overdose crisis in the U.S., expanding equitable availability of MOUD is critical. Informed strategies are needed to reach areas and populations in greatest need.