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Opioids & SU
The Literature Collection contains over 11,000 references for published and grey literature on the integration of behavioral health and primary care. Learn More
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Background: Opioids accounted for 75% of drug overdoses in the United States in 2020, with rural states particularly impacted by the opioid crisis. While medication assisted treatment (MAT) with Suboxone remains one of the more efficacious treatments for opioid use disorder (OUD), approximately 40% of people receiving Suboxone for outpatient MAT for OUD (MOUD) relapse within the first 6 months of treatment. We developed the smartphone app-based intervention OptiMAT as an adjunctive intervention to improve MOUD outcomes. The aims of this study are to (1) evaluate the efficacy of adjunctive OptiMAT use in reducing opioid misuse among people receiving MOUD; and (2) evaluate the role of specific OpitMAT features in reducing opioid misuse, including the use of GPS-driven just-in-time intervention. Methods: We will conduct a two-arm, single-blind, randomized controlled trial of adults receiving outpatient MOUD in the greater Little Rock AR area. Participants are English-speaking adults ages 18 or older recently enrolled in outpatient MOUD at one of our participating study clinics. Participants will be allocated via 1:1 randomized block design to (1) MOUD with adjunctive use of OptiMAT (MOUD+OptiMAT) or (2) MOUD without OptiMAT (MOUD-only). Our blinded research statistician will evaluate differences between the two groups in opioid misuse (as determined by quantitative urinalysis conducted by clinical lab staff blinded to group membership) during the 6-months following study enrolment. Secondary analyses will evaluate if OptiMAT-usage patterns within the MOUD+OptiMAT group predict opioid misuse or continued abstinence. Discussion: This study will test if adjunctive use of OptiMAT improve MOUD outcomes. Study findings could lead to expansion of OptiMAT into rural clinical settings, and the identification of OptiMAT features which best predict positive clinical outcome could lead to refinement of this and similar smartphone appbased interventions. Trial registration: ClinicalTrials.gov identifier: NCT05336188, registered March 21, 2022, https://clinicaltrials.gov/ct2/show/NCT05336188.
OBJECTIVES: Factors associated with treatment retention on medications for opioid use disorder (MOUD) in rural settings are poorly understood. This study examines associations between social determinants of health (SDoH) and MOUD retention among patients with opioid use disorder (OUD) in rural primary care settings. METHODS: We analyzed patient electronic health records from 6 rural clinics. Participants (N = 575) were adult patients with OUD and had any prescription for MOUD from October 2019 to April 2020. MOUD retention was measured by MOUD days and continuity defined as continuous 180 MOUD days with no more than a 7-day gap. Mixed-effect regressions assessed associations between the outcomes and SDoH (Medicaid insurance, social deprivation index [SDI], driving time from home to the clinic), telehealth use, and other covariates. RESULTS: Mean patient MOUD days were 127 days (SD = 50.7 days). Living in more disadvantaged areas (based on SDI) (adjusted relative risk [aRR]: 0.98; 95% confidence interval [CI], 0.98-0.99) and having more than an hour (compared with an hour or less) driving time from home to clinic (aRR: 0.95; 95% CI, 0.93-0.97) were associated with fewer MOUD days. Using telehealth was associated with more MOUD days (aRR: 1.23; 95% CI, 1.21-1.26). In this cohort, 21.7% of the participants were retained on MOUD for at least 180 days. SDoH and use of telehealth were not associated with having continuity of MOUD. CONCLUSIONS: Addressing SDoH (eg, SDI) and providing telehealth (eg, improvements in public transportation, internet access) may improve MOUD days in rural settings.
BACKGROUND: Depression is highly prevalent among people with HIV (PWH), and treatment is critical. We examined associations between sociodemographic and clinical characteristics, focusing on alcohol use and smoking, with use of depression treatment. METHODS: Electronic health record data from an integrated healthcare system in Northern California were used to identify PWH who had a primary care visit (index) between 1/1/2014-12/31/2020 and a depression diagnosis within 6 months of the index date. Outcomes included separate indicators for outpatient mental health (MH) encounters and antidepressant prescription fills in the year post index. RESULTS: Among 3078 PWH, 24.7 % (761) had a depression diagnosis; of those, 52.6 % were aged 50+, 10.5 % female, 56.1 % White, 36.4 % reported alcohol use in the past 3 months and 18.7 % reported current smoking. Seventy-six percent used depression treatment services (antidepressants [68 %] and outpatient MH [35 %]). Patients aged 50-59 years (OR = 0.52, CI = 0.34, 0.80) and 60+ years (OR = 0.27, CI = 0.14, 0.50) were less likely to have outpatient MH encounters compared to patients ≤40 years. Compared to White patients, Black (OR = 0.37, CI = 0.23, 0.59) and Hispanic (OR = 0.48, CI = 0.31, 0.75) patients were less likely to have antidepressant prescription fills, and Black (OR = 0.47, CI = 0.28, 0.77), Hispanic (OR = 0.58, CI = 0.35, 0.94) and Asian (OR = 0.48, CI = 0.25, 0.93) patients were less likely to use any depression treatment. Neither alcohol use nor smoking were associated with depression treatment. CONCLUSIONS: We found substantial demographic disparities in use of depression treatment services among PWH and depression. Facilitating access to mental health care for older and racial and ethnic minority patients should be prioritized.
OBJECTIVE: We sought to evaluate the relationship between social determinants of health and physician-based mental healthcare utilization and virtual care use among children and adolescents in Ontario, Canada, during the COVID-19 pandemic. METHODS: This population-based repeated cross-sectional study of children and adolescents (3-17 years; N = 2.5 million) used linked health and demographic administrative data in Ontario, Canada (2017-2021). Multivariable Poisson regressions with generalized estimating equations compared rates of outpatient physician-based mental healthcare use during the first year of the COVID-19 pandemic with expected rates based on pre-COVID patterns. Analyses were conducted by socioeconomic status (material deprivation quintiles of the Ontario Marginalization index), urban/rural region of residence, and immigration status. RESULTS: Overall, pediatric physician-based mental healthcare visits were 5% lower than expected (rate ratio [RR] = 0.95, 95% confidence interval [CI], 0.92 to 0.98) among those living in the most deprived areas in the first year of the pandemic, compared with the least deprived with 4% higher than expected rates (RR = 1.04, 95% CI, 1.02 to 1.06). There were no differences in overall observed and expected visit rates by region of residence. Immigrants had 14% to 26% higher visit rates compared with expected from July 2020 to February 2021, whereas refugees had similarly observed and expected rates. Virtual care use was approximately 65% among refugees, compared with 70% for all strata. CONCLUSION: During the first year of the pandemic, pediatric physician-based mental healthcare utilization was higher among immigrants and lower than expected among those with lower socioeconomic status. Refugees had the lowest use of virtual care. Further work is needed to understand whether these differences reflect issues in access to care or the need to help inform ongoing pandemic recovery planning.
BACKGROUND: Internet interventions have been developed and tested for several psychiatric and somatic conditions. Few people with substance use disorders receive treatment and many drug users say that they would prefer getting help from online tools. Internet interventions are effective for reducing alcohol and cannabis use. The aim of the current study is to understand differences between internet-based and face-to-face treatment of problematic substance use. The concept of alliance will be used as a theoretical frame for understanding differences between internet-based treatment and face-to-face treatment, as perceived by therapists. METHOD: The study has a qualitative design and is based on 3 focus group interviews with 12 therapists working with internet-based treatment for alcohol or cannabis use problems within five different programs. RESULTS: The analysis revealed five themes in the differences between internet-based and face-to-face treatment: communication, anonymity, time, presence and focus. Treatment online in written and asynchronous form creates something qualitatively different from regular face-to-face meetings between patients and therapists. The written form changes the concept of time in treatment, that is, how time can be used and how it affects the therapist's presence. The asynchronous (i.e. time delayed) form of communication and the lack of facial expressions and body language require special skills. CONCLUSIONS: There are important differences between internet-based treatment and face-to-face treatment. Different aspects of the alliance seem to be important in internet-based treatment compared to face-to-face.

INTRODUCTION: Opioid overdose deaths are increasing rapidly in the United States. Medications for opioid use disorder (MOUD) are effective and can be delivered in primary care, but uptake has been limited in rural communities. Referral to and coordination with an external telemedicine (TM) vendor by rural primary care clinics for MOUD (TM-MOUD) may increase MOUD access for rural patients, but we know little about perspectives on this model among key stakeholders. As part of a TM-MOUD feasibility study, we explored TM-MOUD acceptability and feasibility among personnel and patients from seven rural primary care clinics and a TM-MOUD vendor. METHODS: We conducted virtual interviews or focus groups with clinic administrators (n = 7 interviews), clinic primary care and behavioral health providers (8 groups, n = 30), other clinic staff (9 groups, n = 37), patients receiving MOUD (n = 16 interviews), TM-MOUD vendor staff (n = 4 interviews), and vendor-affiliated behavioral health and prescribing providers (n = 17 interviews). We asked about experiences with and acceptability of MOUD (primarily buprenorphine) and telemedicine (TM) and a TM-MOUD referral and coordination model. We conducted content analysis to identify themes and participants quantitatively rated acceptability of TM-MOUD elements on a 4-item scale. RESULTS: Perceived benefits of vendor-based TM-MOUD included reduced logistical barriers, more privacy and less stigma, and access to services not available locally (e.g., counseling, pain management). Barriers included lack of internet or poor connectivity in patients' homes, limited communication and trust between TM-MOUD and clinic providers, and questions about the value to the clinic of TM-MOUD referral to external vendor. Acceptability ratings for TM-MOUD were generally high; they were lowest among frontline staff. CONCLUSIONS: Rural primary care clinic personnel, TM-MOUD vendor personnel, and patients generally perceived referral from primary care to a TM-MOUD vendor to hold potential for increasing access to MOUD in rural communities. Increasing TM-MOUD uptake requires buy-in and understanding among staff of the TM-MOUD workflow, TM services offered, requirements for patients, advantages over clinic-based or TM services from clinic providers, and identification of appropriate patients. Poverty, along with patient hesitation to initiate treatment, creates substantial barriers to MOUD treatment generally; insufficient internet availability creates a substantial barrier to TM-MOUD.
Prolonged exposure therapy (PE) is a well-established first-line treatment for posttraumatic stress disorder (PTSD) that is based on emotional processing theory. PE has been rigorously evaluated and tested in a large number of clinical trials in many countries covering a wide range of trauma populations. In this review, we summarize the evidence base supporting the efficacy of PE across populations, including adults with sexual assault-related PTSD and mixed trauma-related PTSD, military populations, and adolescents. We highlight important strengths and gaps in the research on PE with individuals from marginalized communities. We discuss the efficacy of PE on associated psychopathology and in the presence of the most commonly comorbid conditions, either alone or integrated with other treatments. In addition, we provide an overview of research examining strategies to augment PE. Much of this work remains preliminary, but numerous trials have tested PE in combination with other psychological or pharmacological approaches, interventions to facilitate extinction learning, and behavioral approaches, in the hopes of further increasing the efficiency and efficacy of PE. There are now several trials testing PE in novel formats that may have advantages over standard in-person PE, such as lower dropout and increased scalability. We examine this recent work on new models of delivering PE, including massed treatment, telehealth, and brief adaptations for primary care, all of which have the potential to increase access to PE. Finally, we highlight several promising areas for future research.
This Viewpoint discusses state policies that could impede access to medications for opioid use disorder via telemedicine.; eng
This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.
This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.
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