Spatial access to opioid treatment program and alcohol and cannabis outlets: analysis of missed doses of methadone during the first, second, and third 90 days of treatment

Potential improvement in spatial accessibility of methadone treatment with integration into other outpatient substance use disorder treatment programs, New York City, 2024

BACKGROUND

Methadone is an effective treatment for opioid use disorder; however, its provision in the US is limited to federally-regulated opioid treatment programs (OTP). Expansion of methadone treatment into non-OTP substance use disorder (SUD) treatment programs ('expanded methadone treatment access') is a promising intervention to increase access.

METHODS

We performed a cross-sectional geospatial analysis of public transit times to OTPs, expanded methadone treatment access, and other healthcare facilities as of March, 2024 in New York City (NYC). We estimated one-way public transit travel time and compared travel times using population weighted paired t-tests.

RESULTS

For OTPs, 38.2% (95% CI: 38.0, 38.4) of the NYC population was within 15 minutes and 79.7% (95% CI: 79.5, 79.9) was within 30 minutes. For expanded methadone treatment access, 72.1% (95% CI: 71.9, 72.2) of the NYC population was within 15 minutes and 97.5% (95% CI: 97.5, 97.6) was within 30 minutes. The mean travel time was 20.4 minutes (SD: 10.9) for OTPs and 12.1 minutes (SD: 7.1) for expanded methadone treatment access (difference: -8.3 minutes [95% CI: -8.5, -8.1]; P < 0.001). The mean travel time for expanded methadone treatment access was slightly longer than the mean travel time for dialysis facilities (difference: 0.22 minutes [95% CI: 0.06, 0.39]; P = 0.009]), not significantly different than Federally Qualified Health Centers (difference: -0.06 minutes [95% CI: -0.22, 0.11]; P = 0.51), and significantly shorter than the mean travel time to ambulatory surgical centers (difference: -6.3 [95% CI: -6.5, -6.0]; P < 0.001) and hospitals (difference: -8.1 [95% CI: -8.3, -7.9]; P < 0.001).

CONCLUSION

Efforts to increase access to methadone treatment in the US should promote expansion to additional non-OTP outpatient SUD treatment programs. Such integration is anticipated to increase spatial accessibility of methadone treatment substantially, greatly enhancing the potential for patient access.

Where Do Clients Receive Methadone Treatment? Exploring Bypassing Behaviors in Methadone Treatment Clients: Temporal, Geographic, and Demographic Factors

Background

Few studies have examined where clients receive methadone treatment for opioid use disorder relative to their residences. Commuting time affects access to care, and anecdotal evidence suggests clients often bypass closer methadone providers. This study quantifies (a) bypass patterns in Los Angeles County, (b) gender, age, and ethnoracial differences in bypassing, and (c) links between bypassing and facility attributes.

Methods

Using retrospective multiyear analysis, we matched opioid treatment episodes with commuting times between clients' ZIP codes and treatment facilities. From 16 972 outpatient episodes (2010-2017), data were paired with Google Maps commuting estimates. The study covered 32 methadone facilities and 8627 unique clients. We determined the difference in driving time (a proxy for commuting time) from the nearest (bypassed) provider to the provider where the client was treated, deriving bypass and extended commute rates. We compared the rates of a scaled bypassing variable across racial, ethnic, and gender groups. We examined rates by grouping and by facility characteristics of the closest provider.

Results

Bypassing occurred in 48.9% of episodes; 21.0% involved extra commute time of 5+ minutes beyond the closest facility. Bypass rates varied significantly across racial, ethnic, and gender groups. Black or African American clients showed higher bypass rates than non-Latino white clients. Latino female clients had lower rates and shorter commutes than Latino male clients (P < .01). Larger methadone facilities experienced fewer bypassing and Black clients were found to typically bypass in favor of providers with longer wait times than other groups in the study.

Implications

This is the first study investigating client and facility characteristics relating to methadone treatment bypassing in a major U.S. care system. The results highlight significant bypass rates affecting efficient access. Findings have implications for opioid treatment system design, particularly to improve access to quality care for underserved communities.

Accessibility of methadone treatment via public transit for syringe services program participants in Miami-Dade County, Florida

Methadone is an opioid receptor agonist medication used in the treatment of opioid use disorder (OUD). Geographic distance to opioid treatment programs (OTPs) is a major barrier to treatment, given requirements for direct observation of dosing and periodic drug screens, and 'methadone treatment deserts' are defined as a public transit threshold of 30 minutes. The purpose of this study was to examine public transit access to methadone treatment for participants of a syringe services program (SSP) in Miami-Dade County, Florida. Public transit times were calculated using the R library r5r, which facilitates multi-modal transportation network routing. General Transit Feed Specification data was combined with street network data from OpenStreetMap for Miami-Dade County. Transit times were estimated from the population-weighted centroid of each zip code (n=79) with participants of Miami's only SSP (n=1597) to the nearest OTP (n=4) using 10 departure windows aligned with OTP service hours. The mean one-way transit time from zip codes with SSP participants in Miami-Dade County to the nearest OTP was 80 minutes. 75 of the 79 (95%) zip codes with SSP participants in Miami-Dade County have a mean transit time to the closest OTP greater than 30 minutes. Transit times differ substantially between zip codes with different numbers of SSP participants, but not between departure windows. Nearly all zip codes with SSP participants in Miami-Dade County can be classified as 'methadone treatment deserts'. Geographic isolation of methadone treatment from public transit routes represents a significant barrier to equitable OUD treatment.

A case study on variations in network structure and cross-sector alignment in two local systems serving pregnant and parenting women in recovery

OBJECTIVE

To describe network structure and alignment across organizations in healthcare, public health, and social services sectors that serve pregnant and parenting women with substance use disorder (SUD) in an urban and a rural community.

DATA SOURCES AND STUDY SETTINGS

Two community networks, one urban and one rural with each including a residential substance use treatment program, in Kentucky during 2021.

STUDY DESIGN

Social network analysis measured system collaboration and cross-sector alignment between healthcare, public health, and social services organizations, applying the Framework for Aligning Sectors. To understand the alignment and structure of each network, we measured network density overall and between sectors, network centralization, and each organization's degree centrality and effective size.

DATA COLLECTION/EXTRACTION METHODS

Computer-assisted telephone interviews were conducted to document alignment around shared purpose, data, financing, and governance.

PRINCIPAL FINDINGS

On average, overall and cross-sector network densities in both communities were similar. However, alignment was highest for data sharing and financing in the urban community and for shared purpose and governance in the rural community. Cross-sector partnerships involving healthcare organizations were more prevalent in the rural county (44% vs. 38% for healthcare/public health, 44% vs. 29% for healthcare/social services), but more prevalent for those involving public health/social services organizations in the urban county (42% vs. 24%). A single healthcare organization had the highest degree centrality (Mdn [IQR] = 26 [26-9.5]) and effective size (Mdn [IQR] = 15.9 [20.6-8.7]) within the rural county. Social services organizations held more central positions in the urban county (degree centrality Mdn [IQR] = 13 [14.8-9.5]; effective size Mdn [IQR] = 10.4 [11.4-7.9]).

CONCLUSIONS

Cross-sector alignment may strengthen local capacity for comprehensive SUD care for pregnant and parenting women. Healthcare organizations are key players in cross-sector partnerships in the rural community, where one healthcare facility holds the central brokerage role. In contrast, public health agencies are key to cross-sector collaboration with social services in the urban community.

Utilization of Medications for Opioid Use Disorder Among West Virginia Medicaid Enrollees Following Medicaid Coverage of Methadone

BACKGROUND

West Virginia entered an institution for mental disease Section 1115 waiver with the Centers for Medicare & Medicaid Services in 2018, which allowed Medicaid to cover methadone at West Virginia's nine opioid treatment programs (OTPs) for the first time.

METHODS

We conducted time trend and geospatial analyses of Medicaid enrollees between 2016 and 2019 to examine medications for opioid use disorder utilization patterns following Medicaid coverage of methadone, focusing on distance to an OTP as a predictor of initiating methadone and conditional on receiving any, longer treatment duration.

RESULTS

Following Medicaid coverage of methadone in 2018, patients receiving methadone comprised 9.5% of all Medicaid enrollees with an opioid use disorder (OUD) diagnosis and 10.6% in 2019 (P < 0.01). In 2018, two-thirds of methadone patients either had no prior OUD diagnosis or were not previously enrolled in Medicaid in our observation period. Patients residing within 20 miles of an OTP were more likely to receive methadone (marginal effect [ME]: -0.041, P < 0.001). Similarly, patients residing in metropolitan areas were more likely to receive treatment than those residing in nonmetropolitan areas (ME: -0.019, P < 0.05). Metropolitan patients traveled an average of 15 miles to an OTP; nonmetropolitan patients traveled more than twice as far (P < 0.001). We found no significant association between distance and treatment duration.

CONCLUSIONS

West Virginia Medicaid's new methadone coverage was associated with an influx of new enrollees with OUD, many of whom had no previous OUD diagnosis or prior Medicaid enrollment. Methadone patients frequently traveled far distances for treatment, suggesting that the state needs additional OTPs and innovative methadone delivery models to improve availability.

Health, safety, and socioeconomic impacts of cannabis liberalization laws: An evidence and gap map

Background

Globally, cannabis laws and regulations are rapidly changing. Countries are increasingly permitting access to cannabis under various decriminalization, medicalization, and legalization laws. With strong economic, public health, and social justice incentives driving these domestic cannabis policy reforms, liberalization trends are bound to continue. However, despite a large and growing body of interdisciplinary research addressing the policy-relevant health, safety, and socioeconomic consequences of cannabis liberalization, there is a lack of robust primary and systematic research that comprehensively investigates the consequences of these reforms.

Objectives

This evidence and gap map (EGM) summarizes the empirical evidence on cannabis liberalization policies. Primary objectives were to develop a conceptual framework linking cannabis liberalization policies to relevant outcomes, descriptively summarize the empirical evidence, and identify areas of evidence concentration and gaps.

Search Methods

We comprehensively searched for eligible English-language empirical studies published across 23 academic databases and 11 gray literature sources through August 2020. Additions to the pool of potentially eligible studies from supplemental sources were made through November 2020.

Selection Criteria

The conceptual framework for this EGM draws upon a legal epidemiological perspective highlighting the causal effects of law and policy on population-level outcomes. Eligible interventions include policies that create or expand access to a legal or decriminalized supply of cannabis: comprehensive medical cannabis laws (MCLs), limited medical cannabidiol laws (CBDLs), recreational cannabis laws (RCLs), industrial hemp laws (IHLs), and decriminalization of cultivations laws (DCLs). Eligible outcomes include intermediate responses (i.e., attitudes/behaviors and markets/environments) and longer-term consequences (health, safety, and socioeconomic outcomes) of these laws.

Data Collection and Analysis

Both dual screening and dual data extraction were performed with third person deconfliction. Primary studies were appraised using the Maryland Scientific Methods Scale and systematic reviews were assessed using AMSTAR 2.

Main Results

The EGM includes 447 studies, comprising 438 primary studies and nine systematic reviews. Most research derives from the United States, with little research from other countries. By far, most cannabis liberalization research focuses on the effects of MCLs and RCLs. Studies targeting other laws-including CBDLs, IHLs, and DCLs-are relatively rare. Of the 113 distinct outcomes we documented, cannabis use was the single most frequently investigated. More than half these outcomes were addressed by three or fewer studies, highlighting substantial evidence gaps in the literature. The systematic evidence base is relatively small, comprising just seven completed reviews on cannabis use (3), opioid-related harms (3), and alcohol-related outcomes (1). Moreover, we have limited confidence in the reviews, as five were appraised as minimal quality and two as low quality.

Authors’ Conclusions

More primary and systematic research is needed to better understand the effects of cannabis liberalization laws on longer-term-and arguably more salient-health, safety, and socioeconomic outcomes. Since most research concerns MCLs and RCLs, there is a critical need for research on the societal impacts of industrial hemp production, medical CBD products, and decriminalized cannabis cultivation. Future research should also prioritize understanding the heterogeneous effects of these laws given differences in specific provisions and implementation across jurisdictions.

Service Utilization for Parent Management of Early Childhood Behavior Problems in a Private Outpatient Behavioral Clinic: The Impact of Out-of-Pocket Cost, Travel Distance, and Initial Treatment Progress

Poorly-managed early childhood disruptive behavior disorders (DBDs) have costly psychological and societal burdens. While parent management training (PMT) is recommended to effectively manage DBDs, appointment adherence is poor. Past studies on influential factors of PMT appointment adherence focused on parental factors. Less well studied are social drivers relative to early treatment gains. This study investigated how financial and time cost relative to early gains influence PMT appointment adherence for early childhood DBDs in a clinic of a large behavioral health pediatric hospital from 2016 to 2018. Using information obtained from the clinic's data repository, claims records, public census and geospatial data, we assessed how owed unpaid charges, travel distance from home to clinic, and initial behavioral progress influences total and consistent attendance of appointments for commercially- and publicly-insured (Medicaid and Tricare) patients, controlling for demographic, service, and clinical differences. We further assessed how social deprivation interacted with unpaid charges to influence appointment adherence for commercially-insured patients. Commercially-insured patients had poorer appointment adherence with longer travel distances, or having unpaid charges and greater social deprivation; they also attended fewer total appointments with faster behavioral progress. Comparatively, publicly-insured patients were not affected by travel distance and had higher consistent attendance with faster behavioral progress. Longer travel distance and difficulty paying service costs while living in greater social deprivation are barriers to care for commercially-insured patients. Targeted intervention may be needed for this specific subgroup to attend and stay engaged in treatment.

Methadone Treatment Gap in Tennessee and How Medication Units Could Bridge the Gap: A Review

The opioid epidemic has been an ongoing public health concern in the United States (US) for the last few decades. The number of overdose deaths involving opioids, hereafter referred to as overdose deaths, has increased yearly since the mid-1990s. One treatment modality for opioid use disorder (OUD) is medication-assisted treatment (MAT). As of 2022, only three pharmacotherapy options have been approved by the Food and Drug Administration (FDA) for treating OUD: buprenorphine, methadone, and naltrexone. Unlike buprenorphine and naltrexone, methadone dispensing and administrating are restricted to opioid treatment programs (OTPs). To date, Tennessee has no medication units, and administration and dispensing of methadone is limited to licensed OTPs. This review details the research process used to develop a policy draft for medication units in Tennessee. This review is comprised of three parts: (1) a rapid review aimed at identifying obstacles and facilitators to OTP access in the US, (2) a descriptive analysis of Tennessee's geographic availability of OTPs, pharmacies, and federally qualified health centers (FQHCs), and (3) policy mapping of 21 US states' OTP regulations. In the rapid review, a total of 486 articles were imported into EndNote from PubMed and Embase. After removing 152 duplicates, 357 articles were screened based on their title and abstract. Thus, 34 articles underwent a full-text review to identify articles that addressed the accessibility of methadone treatment for OUD. A total of 18 articles were identified and analyzed. A descriptive analysis of Tennessee's availability of OTP showed that the state has 22 OTPs. All 22 OTPs were matched to a county and a region based on their address resulting in 15 counties (16%) and all three regions having at least one OTP. A total of 260 FQHCs and 2294 pharmacies are in Tennessee. Each facility was matched to a county based on its address resulting in 70 counties (74%) having at least one FQHC and 94 counties (99%) having at least one pharmacy. As of 31 December 2022, 17 states mentioned medication units in their state-level OTP regulations. Utilizing the regulations for the eleven states with medication units and federal guidelines, a policy draft was created for Tennessee's medication units.

Clinics Optimizing MEthadone Take-homes for opioid use disorder (COMET): Protocol for a stepped-wedge randomized trial to facilitate clinic level changes

INTRODUCTION

Regulatory changes made during the COVID-19 public health emergency (PHE) that relaxed criteria for take-home dosing (THD) of methadone offer an opportunity to improve quality of care with a lifesaving treatment. There is a pressing need for research to study the long-term effects of the new PHE THD rules and to test data-driven interventions to promote more effective adoption by opioid treatment programs (OTPs). We propose a two-phase project to develop and test a multidimensional intervention for OTPs that leverages information from large State administrative data.

METHODS AND ANALYSIS

We propose a two-phased project to develop then test a multidimensional OTP intervention to address clinical decision making, regulatory confusion, legal liability concerns, capacity for clinical practice change, and financial barriers to THD. The intervention will include OTP THD specific dashboards drawn from multiple State databases. The approach will be informed by the Health Equity Implementation Framework (HEIF). In phase 1, we will employ an explanatory sequential mixed methods design to combine analysis of large state administrative databases-Medicaid, treatment registry, THD reporting-with qualitative interviews to develop and refine the intervention. In phase 2, we will conduct a stepped-wedge trial over three years with 36 OTPs randomized to 6 cohorts of a six-month clinic-level intervention. The trial will test intervention effects on OTP-level implementation outcomes and patient outcomes (1) THD use; 2) retention in care; and 3) adverse healthcare events). We will specifically examine intervention effects for Black and Latinx clients. A concurrent triangulation mixed methods design will be used: quantitative and qualitative data collection will occur concurrently and results will be integrated after analysis of each. We will employ generalized linear mixed models (GLMMs) in the analysis of stepped-wedge trials. The primary outcome will be weekly or greater THD. The semi-structured interviews will be transcribed and analyzed with Dedoose to identify key facilitators, barriers, and experiences according to HEIF constructs using directed content analysis.

DISCUSSION

This multi-phase, embedded mixed methods project addresses a critical need to support long-term practice changes in methadone treatment for opioid use disorder following systemic changes emerging from the PHE-particularly for Black and Latinx individuals with opioid use disorder. By combining findings from analyses of large administrative data with lessons gleaned from qualitative interviews of OTPs that were flexible with THD and those that were not, we will build and test the intervention to coach clinics to increase flexibility with THD. The findings will inform policy at the local and national level.

Community-, network-, and individual-level predictors of uptake of medication for opioid use disorder among young people who inject drugs and their networks: A multilevel analysis

BACKGROUND

Opioid use has been increasing at alarming rates over the past 15 years, yet uptake of medication for opioid use disorder (MOUD) remains low. Much of the research on individual characteristics predicting MOUD uptake is equivocal, and there is a dearth of research on setting-level and network-level characteristics that predict MOUD uptake. Towards a more holistic, multilevel understanding, we explore individual-level, network-level, and community-level characteristics associated with MOUD uptake.

METHODS

Baseline data from a longitudinal study of young people who inject drugs and their injection and support network members living in Chicago (N = 165) was used to conduct cross-sectional multilevel logistic regression analyses to examine associations between MOUD uptake and a set of potential predictors at the individual-, network-, and community-levels that were chosen based on theoretical relevance or support from previous empirical studies.

RESULTS

Stigma at both the individual and community levels was significantly associated with MOUD uptake (though in different directions). Greater individual-level stigma was associated with a higher likelihood of MOUD uptake, while having a more normatively stigmatizing community environment was associated with a lower likelihood of MOUD uptake. Using heroin and cocaine simultaneously and having a larger support network were associated with a greater likelihood of MOUD uptake.

CONCLUSIONS

The present study's holistic, multilevel approach identified three individual-level characteristics, one network-level characteristic, and one community-level characteristic associated with MOUD uptake. However, more research is needed examining multilevel predictors, to help with developing interventions addressing barriers to MOUD use at multiple levels of influence.

Critical access medication for opioid use disorder (MOUD) treatment facilities in the continental United States

Research objective

Medication opioid use disorder (MOUD) treatment is the first-line approach to the treatment of opioid use disorder (OUD). This analysis seeks to identify "critical access" MOUD facilities that ensure geographic access for MOUD patients. Using public-source data and spatial analysis, we identify the top 100 "critical access" MOUD units across the continental U.S.

Study design

We use locational data from SAMHSA's Behavioral Health Treatment Services Locator and DATA 2000 waiver buprenorphine providers. We identify the closest MOUDs to each ZIP Code Tabulation Area (ZCTA)'s geographic centroid. We then construct a difference-in-distance metric by computing the difference in this distance measure between closest and second-closest MOUD, multiplied by ZCTA population, ranking MOUDs by difference-distance scores.

Population studied

All listed MOUD treatment facilities and all listed ZCTA's across the continental U.S., and all listed MOUD providers proximate to these areas.

Principal findings

We identified the top 100 critical access MOUD units in the continental United States. Many critical providers were in rural areas in the central United States, as well as a band extending east from Texas to Georgia. Twenty-three of the top 100 critical access providers were identified as providing naltrexone. Seventy-seven were identified as providing buprenorphine. Three were identified as providing methadone.

Conclusions

Significant areas of the United States are dependent on a single critical access MOUD provider.

Implications for policy or practice

Place-based supports may be warranted to support MOUD treatment access in areas dependent upon critical access providers.

Geographic information science and the United States opioid overdose crisis: A scoping review of methods, scales, and application areas

BACKGROUND

The Opioid Overdose Crisis (OOC) continues to generate morbidity and mortality in the United States, outpacing other prominent accident-related reasons. Multiple disciplines have applied geographic information science (GIScience) to understand geographical patterns in opioid-related health measures. However, there are limited reviews that assess how GIScience has been used.

OBJECTIVES

This scoping review investigates how GIScience has been used to conduct research on the OOC. Specific sub-objectives involve identifying bibliometric trends, the location and scale of studies, the frequency of use of various GIScience methodologies, and what direction future research can take to address existing gaps.

METHODS

The review was pre-registered with the Open Science Framework ((https://osf.io/h3mfx/) and followed the PRISMA-ScR guidelines. Scholarly research was gathered from the Web of Science Core Collection, PubMed, IEEE Xplore, ACM Digital Library. Inclusion criteria was defined as having a publication date between January 1999 and August 2021, using GIScience as a central part of the research, and investigating an opioid-related health measure.

RESULTS

231 studies met the inclusion criteria. Most studies were published from 2017 onward. While many (41.6%) of studies were conducted using nationwide data, the majority (58.4%) occurred at the sub-national level. California, New York, Ohio, and Appalachia were most frequently studied, while the Midwest, north Rocky Mountains, Alaska, and Hawaii lacked studies. The most common GIScience methodology used was descriptive mapping, and county-level data was the most common unit of analysis across methodologies.

CONCLUSIONS

Future research of GIScience on the OOC can address gaps by developing use cases for machine learning, conducting analyses at the sub-county level, and applying GIScience to questions involving illicit fentanyl. Research using GIScience is expected to continue to increase, and multidisciplinary research efforts amongst GIScientists, epidemiologists, and other medical professionals can improve the rigor of research.

A bridge too far? Distance to waivered physicians and utilization of buprenorphine treatment for opioid use disorder in West Virginia Medicaid

Background: Travel distance to medication treatment for opioid use disorder (OUD) is a challenge for many patients, but little is known about how distance is associated with medication treatment utilization. This study examines the association between distance to the nearest physician waivered to prescribe buprenorphine and patient-level buprenorphine treatment among West Virginia Medicaid expansion enrollees with diagnosed OUD. Methods: We conducted a cross-sectional spatial analysis with 2016 Medicaid claims data, separately examining individuals living in metropolitan and non-metropolitan areas. We calculated the driving distance from the centroid of patients' residential ZIP codes to the street address of the nearest waivered physician derived from the 2015 Drug Enforcement Administration listing. Regression models examined the association between distance and initiation and duration of buprenorphine (among those initiating). Results: We focused on 8,008 individuals with OUD in 2016. The nearest waivered prescriber in metropolitan areas was an average of 7.13 miles away from patients' residential ZIP codes and 14.54 miles in non-metropolitan areas. The providers they actually visited were a mean of 33.63 miles away in metro areas and 46.36 in non-metropolitan areas. In multivariable analyses, compared to those living <10 miles from a waivered physician, living >20 miles from a waivered physician was associated with -32.13 fewer days of treatment (95% CI: -57.86, -6.40) in metro areas and -16.70 fewer days in non-metro areas (95% CI: -32.32, -1.08). Conclusions: Longer travel distance to buprenorphine treatment is associated with a shorter duration of care that is likely to be clinically meaningful.

Disparities in expected driving time to opioid treatment and treatment completion: findings from an exploratory study

BACKGROUND

Commuting time to treatment has been shown to affect healthcare outcomes such as engagement and initiation. The purpose of this study is to extend this line of research to investigate the effects of driving time to opioid programs on treatment outcomes.

METHODS

We analyzed discharge survey data from 22,587 outpatient opioid use disorder treatment episodes (mainly methadone) in Los Angeles County and estimated the associated driving time to each episode using Google Maps. We used multivariable logistic regressions to examine the association between estimated driving time and odds of treatment completion after adjusting for possible confounders.

RESULTS

Findings show an average driving time of 11.32 min and an average distance of 11.18 km. We observed differences in estimated driving time across age, gender, and socioeconomic status. Young, male, less formally educated, and Medi-Cal-ineligible clients drove longer to treatment. A 10-min drive was associated with a 33% reduction in the completion of methadone treatment plans (p < .01).

CONCLUSION

This systemwide analysis provides novel time estimates of driving-based experiences and a strong relationship with completion rates in methadone treatment. Specifically, the result showing reduced treatment completion rates for drive times longer than 10 min may inform policies regarding the ideal geographic placement of methadone-based treatment programs and service expansion initiatives.

The impact of relaxation of methadone take-home protocols on treatment outcomes in the COVID-19 era

BACKGROUND

Background: In response to the COVID-19 pandemic, the US Substance Abuse and Mental Health Services Administration (SAMHSA) allowed for an increase in methadone take-home doses for the treatment of Opioid Use Disorder (OUD) in March 2020.

OBJECTIVE

To evaluate the effects of the SAMSHA exemption on methadone adherence and OUD-related outcomes.

METHODS

A convenience sample of 183 clients (58% female) were recruited from a methadone clinic in the fall of 2019 for a cross-sectional survey. Survey data was linked to clinical records, including urine drug testing (UDT) results for methadone and emergency department (ED) visits at the local hospital. Participants were on stable methadone dosing for 9 months prior to and following March 2020. Methadone adherence was assessed by UDTs; OUD-related outcomes were assessed by overdose events and ED visits. Logistic regression was used to assess the association between change in take-home methadone doses and outcomes.

RESULTS

Mean take-home doses increased nearly 200% (11.4 doses/30 days pre-COVID-19 vs. 22.3 post-SAMHSA exemption). ED visits dropped from 74 (40.4%) pre-COVID-19 to 56 (30.6%) post-SAMHSA exemption (p = <0.001). No significant changes were observed in either the number of clients experiencing overdose or those who experienced one or more methadone negative UDTs in the post-SAMHSA exemption period. Adjusted models did not show a significant association between changes in take-home doses and associated outcomes.

CONCLUSIONS

Despite a near-doubling of take-home methadone doses during the COVID-19 exemption period, the increase in take-home doses was not associated with negative treatment outcomes in methadone-adherent clients.

Relationship between choice of opioid agonist therapy and distance from patients' residences in Taiwan, 2012-2014

BACKGROUND

Choice of opioid agonist therapy (OAT) for opioid use disorder (OUD) can be impacted by variables such as age, sex, and socioeconomic status. However, it remains unknown whether accessibility of treatment affects patient choice of OAT.

OBJECTIVES

To investigate the association between distance to the treatment site and choice of OAT.

METHODS

Electronic records were collected for the last outpatient visits of individuals with OUD between January 1, 2012 and December 31, 2014. The address of each patient was processed using the Geographic Information System to obtain the distance between place of residence and the hospital. Multivariate logistic regression was used to assess the correlation between individual drug selection and distance of residence. Among the study population of 2804 patients (81.5% male), 74.1% were receiving methadone while 25.8% were receiving buprenorphine. The vast majority (95%) of all patients lived within 50 km of the hospital, so regression analysis was limited to this distance. Sensitivity analysis was estimated using robust Poisson regression.

RESULTS

Logistic regression revealed that every 1-km increase in distance from home to hospital increased the odds ratio of choosing sublingual buprenorphine tablets over methadone by 1.05 (p = .02, 95% confidence interval (CI) = 1.02-1.08).

CONCLUSIONS

Patients living closer to the treatment center were more likely to choose methadone as treatment, while patients living farther away were more likely to choose sublingual buprenorphine tablets. To mitigate the influence of travel distance on therapy choice, we recommend that more medical institutions participate in OAT services.

Expanding access to methadone treatment in Ohio through federally qualified health centers and a chain pharmacy: A geospatial modeling analysis

BACKGROUND

In the United States, methadone provision for opioid use disorder (OUD) occurs at opioid treatment programs (OTPs). Ohio recently enacted a policy to expand methadone administration to Federally Qualified Health Centers (FQHC). We compared how the provision of methadone at current OTPs or the proposed expansion to FQHCs and pharmacies meets the urban and rural need for OUD treatment.

METHODS

Cross-sectional geospatial analysis of zip codes within Ohio with at least one 2017 opioid overdose death stratified by Rural-Urban Commuting Area codes. Our primary outcome was the proportion of need by zip code (using opioid overdose deaths as a proxy for need) within a 15- or 30- minute drive time of an OTP.

RESULTS

Among 581 zip codes, sixty four percent of treatment need was within a 15-minute drive time and 81 %, within a 30-minute drive time. The proportion of need within a 15-minute drive decreased with increasing rural classification (urban 78 %, suburban 20 %, large rural 9%, and small rural 1%;p<.001). The portion of need within a 15-minute drive time increased with the addition of FQHCs (96 %) and the addition of chain pharmacies (99 %) relative to OTPs alone among all zip codes and for all urban-rural strata (p<.001).

CONCLUSION

Over one-third of OUD treatment need was not covered by existing OTPs and coverage decreased with rural classification of zip codes. Most of the gap between supply and need could be mitigated with FQHC methadone provision, which would expand both urban and rural access.

Disparities in Access to Opioid Treatment Programs and Office-Based Buprenorphine Treatment Across the Rural-Urban and Area Deprivation Continua: A US Nationwide Small Area Analysis

OBJECTIVES

To measure access to opioid treatment programs (OTPs) and office-based buprenorphine treatment (OBBTs) at the smallest geographic unit for which the Census Bureau publishes demographic and socioeconomic data (ie, block group) and to explore disparities in access to treatment across the rural-urban and area deprivation continua across the United States.

METHODS

Access to OTPs and OBBTs at the block group in 2019 was quantified using an innovative 2-step floating catchment area technique that accounts for the supply of treatment facilities relative to the population size, proximity of facilities relative to the location of population in block groups, and time as a barrier within catchments. Block groups were stratified into tertiles based on the rural-urban continuum codes (metropolitan, micropolitan, small town, or rural) and area deprivation index (least-deprived, middle-deprived, most-deprived). The Integrated Nested Laplace Approximation approach was used for statistical analysis.

RESULTS

Across the United States, 3329 block groups corresponding to 2 915 949 adults lacked access to OTPs within a 2-hour drive of their community and 130 block groups corresponding to 86 605 adults did not have access to OBBTs. Disparities in access to treatment were observed across the urban-rural and area deprivation continua including (1) lowest mean access score to OBBTs were found among most-deprived small towns, and (2) lower mean access score to OTPs were found among micropolitan and small towns.

CONCLUSIONS

The results of this study revealed disparities in access to medication-assisted treatment. The findings call for creative initiatives and local and regional policies to develop to mitigate access problems.