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.

County-level Factors and Treatment Access Among Insured Women With Opioid Use Disorder.

BACKGROUND: An over 40% increase in overdose deaths within the past 2 years and low levels of engagement in treatment call for a better understanding of factors that influence access to medication for opioid use disorder (OUD). OBJECTIVE: To examine whether county-level characteristics influence a caller's ability to secure an appointment with an OUD treatment practitioner, either a buprenorphine-waivered prescriber or an opioid treatment program (OTP). RESEARCH DESIGN AND SUBJECTS: We leveraged data from a randomized field experiment comprised of simulated pregnant and nonpregnant women of reproductive age seeking treatment for OUD among 10 states in the US. We employed a mixed-effects logistic regression model with random intercepts for counties to examine the relationship between appointments received and salient county-level factors related to OUD. MEASURES: Our primary outcome was the caller's ability to secure an appointment with an OUD treatment practitioner. County-level predictor variables included socioeconomic disadvantage rankings, rurality, and OUD treatment/practitioner density. RESULTS: Our sample comprised 3956 reproductive-aged callers; 86% reached a buprenorphine-waivered prescriber and 14% an OTP. We found that 1 additional OTP per 100,000 population was associated with an increase (OR=1.36, 95% CI: 1.08 to 1.71) in the likelihood that a nonpregnant caller receives an OUD treatment appointment from any practitioner. CONCLUSIONS: When OTPs are highly concentrated within a county, women of reproductive age with OUD have an easier time securing an appointment with any practitioner. This finding may suggest greater practitioners' comfort in prescribing when there are robust OUD specialty safety nets in the county.