Literature Collection

An empiric evidence base is lacking regarding the relationship between insurance status, payment source, and outcomes among patients with opioid use disorder (OUD) on telehealth platforms. Such information gaps may lead to unintended impacts of policy changes. Following the phase-out of the COVID-19 Public Health Emergency, states were allowed to redetermine Medicaid eligibility and disenroll individuals. Yet, financial barriers remain a common and significant hurdle for patients with OUD and are associated with worse outcomes. We studied 3842 patients entering care in 2022 at Ophelia Health, one of the nation's largest OUD telehealth companies, to assess associations between insurance status and 6-month retention. In multivariable analyses, in-network patients who could use insurance benefits were more likely to be retained compared with cash-pay patients (adjusted risk ratio [aRR]: 1.50; 95% CI: 1.40-1.62; P < .001). Among a subsample of 882 patients for whom more detailed insurance data were available (due to phased-in electronic health record updates), in-network patients were also more likely to be retained at 6 months compared with insured, yet out-of-network patients (aRR: 1.86; 95% CI: 1.54-2.23; P < .001). Findings show that insurance status, and specifically the use of in-network benefits, is associated with superior retention and suggest that Medicaid disenrollment and insurance plan hesitation to engage with telehealth providers may undermine the nation's response to the opioid crisis.

IMPORTANCE: Medication for opioid use disorder (MOUD) is the criterion standard treatment for opioid use disorder (OUD), but nationally representative studies of MOUD use in the US are lacking. OBJECTIVE: To estimate MOUD use rates and identify associations between MOUD and individual characteristics among people who may have needed treatment for OUD. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional, nationally representative study using the 2019 National Survey on Drug Use and Health in the US. Participants included community-based, noninstitutionalized adolescent and adult respondents identified as individuals who may benefit from MOUD, defined as (1) meeting criteria for a past-year OUD, (2) reporting past-year MOUD use, or (3) receiving past-year specialty treatment for opioid use in the last or current treatment episode. MAIN OUTCOMES AND MEASURES: The main outcomes were treatment with MOUD compared with non-MOUD services and no treatment. Associations with sociodemographic characteristics (eg, age, race and ethnicity, sex, income, and urbanicity); substance use disorders; and past-year health care or criminal legal system contacts were analyzed. Multinomial logistic regression was used to compare characteristics of people receiving MOUD with those receiving non-MOUD services or no treatment. Models accounted for predisposing, enabling, and need characteristics. RESULTS: In the weighted sample of 2 206 169 people who may have needed OUD treatment (55.5% male; 8.0% Hispanic; 9.9% non-Hispanic Black; 74.6% non-Hispanic White; and 7.5% categorized as non-Hispanic other, with other including 2.7% Asian, 0.9% Native American or Alaska Native, 0.2% Native Hawaiian or Pacific Islander, and 3.8% multiracial), 55.1% were aged 35 years or older, 53.7% were publicly insured, 52.2% lived in a large metropolitan area, 56.8% had past-year prescription OUD, and 80.0% had 1 or more co-occurring substance use disorders (percentages are weighted). Only 27.8% of people needing OUD treatment received MOUD in the past year. Notably, no adolescents (aged 12-17 years) and only 13.2% of adults 50 years and older reported past-year MOUD use. Among adults, the likelihood of past-year MOUD receipt vs no treatment was lower for people aged 50 years and older vs 18 to 25 years (adjusted relative risk ratio [aRRR], 0.14; 95% CI, 0.05-0.41) or with middle or higher income (eg, $50 000-$74 999 vs $0-$19 999; aRRR, 0.18; 95% CI, 0.07-0.44). Compared with receiving non-MOUD services, receipt of MOUD was more likely among adults with at least some college (vs high school or less; aRRR, 2.94; 95% CI, 1.33-6.51) and less likely in small metropolitan areas (vs large metropolitan areas, aRRR, 0.41; 95% CI, 0.19-0.93). While contacts with the health care system (85.0%) and criminal legal system (60.5%) were common, most people encountering these systems did not report receiving MOUD (29.5% and 39.1%, respectively). CONCLUSIONS AND RELEVANCE: In this cross-sectional study, MOUD uptake was low among people who could have benefited from treatment, especially adolescents and older adults. The high prevalence of health care and criminal legal system contacts suggests that there are critical gaps in care delivery or linkage and that cross-system integrated interventions are warranted.

IMPORTANCE: There is limited information about trends in the treatment of opioid use disorder (OUD) among Medicaid enrollees. OBJECTIVE: To examine the use of medications for OUD and potential indicators of quality of care in multiple states. DESIGN, SETTING, AND PARTICIPANTS: Exploratory serial cross-sectional study of 1 024 301 Medicaid enrollees in 11 states aged 12 through 64 years (not eligible for Medicare) with International Classification of Diseases, Ninth Revision (ICD-9 or ICD-10) codes for OUD from 2014 through 2018. Each state used generalized estimating equations to estimate associations between enrollee characteristics and outcome measure prevalence, subsequently pooled to generate global estimates using random effects meta-analyses. EXPOSURES: Calendar year, demographic characteristics, eligibility groups, and comorbidities. MAIN OUTCOMES AND MEASURES: Use of medications for OUD (buprenorphine, methadone, or naltrexone); potential indicators of good quality (OUD medication continuity for 180 days, behavioral health counseling, urine drug tests); potential indicators of poor quality (prescribing of opioid analgesics and benzodiazepines). RESULTS: In 2018, 41.7% of Medicaid enrollees with OUD were aged 21 through 34 years, 51.2% were female, 76.1% were non-Hispanic White, 50.7% were eligible through Medicaid expansion, and 50.6% had other substance use disorders. Prevalence of OUD increased in these 11 states from 3.3% (290 628 of 8 737 082) in 2014 to 5.0% (527 983 of 10 585 790) in 2018. The pooled prevalence of enrollees with OUD receiving medication treatment increased from 47.8% in 2014 (range across states, 35.3% to 74.5%) to 57.1% in 2018 (range, 45.7% to 71.7%). The overall prevalence of enrollees receiving 180 days of continuous medications for OUD did not significantly change from the 2014-2015 to 2017-2018 periods (-0.01 prevalence difference, 95% CI, -0.03 to 0.02) with state variability in trend (90% prediction interval, -0.08 to 0.06). Non-Hispanic Black enrollees had lower OUD medication use than White enrollees (prevalence ratio [PR], 0.72; 95% CI, 0.64 to 0.81; P < .001; 90% prediction interval, 0.52 to 1.00). Pregnant women had higher use of OUD medications (PR, 1.18; 95% CI, 1.11-1.25; P < .001; 90% prediction interval, 1.01-1.38) and medication continuity (PR, 1.14; 95% CI, 1.10-1.17, P < .001; 90% prediction interval, 1.06-1.22) than did other eligibility groups. CONCLUSIONS AND RELEVANCE: Among US Medicaid enrollees in 11 states, the prevalence of medication use for treatment of opioid use disorder increased from 2014 through 2018. The pattern in other states requires further research.

Major depressive disorder (MDD) is one of the most disabling diseases worldwide, generating high use of health services. Previous studies have shown that Mental Health Services (MHS) use is associated with patient and Family Physician (FP) factors. The aim of this study was to investigate MHS use in a naturalistic sample of MDD outpatients and the factors influencing use of services in specialized psychiatric care, to know the natural mental healthcare pathway. Non-randomized clinical trial including newly depressed Primary Care (PC) patients (n = 263) with a 12-month follow-up (from 2013 to 2015). Patient sociodemographic variables were assessed along with clinical variables (mental disorder diagnosis, severity of depression or anxiety, quality of life, disability, beliefs about illness and medication). FP (n = 53) variables were also evaluated. A multilevel logistic regression analysis was performed to assess factors associated with public or private MHS use. Subjects were clustered by FP. Having previously used MHS was associated with the use of MHS. The use of public MHS was associated with worse perception of quality of life. No other sociodemographic, clinical, nor FP variables were associated with the use of MHS. Patient self-perception is a factor that influences the use of services, in addition to having used them before. This is in line with Value-Based Healthcare, which propose to put the focus on the patient, who is the one who must define which health outcomes are relevant to him.

Background: People with opioid use disorders (OUDs) are at heightened risk for involvement with the criminal justice system. Growing evidence supports the safety and effectiveness of providing empirically supported treatments for OUD, such as medications for OUD (M-OUD), to people with criminal justice involvement including during incarceration or upon reentry into the community. However, several barriers limit availability and accessibility of these treatment options for people with OUDs, including a shortage of healthcare and justice professionals trained in how to implement them. This study evaluated a novel education program, the Indiana Jail OUD Treatment ECHO, designed to disseminate specialty knowledge and improve attitudes about providing M-OUD in justice settings. Methods: Through didactic presentations and case-based learning (10 bimonthly, 90-min sessions), a multidisciplinary panel of specialists interacted with a diverse group of community-based participants from healthcare, criminal justice, law enforcement, and related fields. Participants completed standardized surveys about OUD knowledge and attitudes about delivering M-OUD in correctional settings. Thematic analysis of case presentations was conducted. Results: Among 43 participants with pre- and post-series evaluation data, knowledge about OUD increased and treatment was viewed as more practical after the ECHO series compared to before. Cases presented during the program typically involved complicated medical and psychiatric comorbidities, and recommendations addressed several themes including harm reduction, post-release supports, and integration of M-OUD and non-pharmacological interventions. Conclusions: Evaluation of future iterations of this innovative program should address attendance and provider behavior change as well as patient and community outcomes associated with ECHO participation.