Evaluating a mobile app's effects on depression and anxiety in medication-treated opioid use disorder.

Depression and anxiety frequently co-occur with opioid use disorder (OUD) yet are often overlooked in standard OUD treatments. This study evaluated the feasibility, acceptability, and preliminary effectiveness of a mobile application designed to address these symptoms in individuals receiving medications for OUD (MOUD). A randomized controlled trial recruited N = 63 adults with OUD who received MOUD and screened positive for moderate depression or generalized anxiety. Participants were randomized to an app-based digital intervention or treatment-as-usual for 4 weeks, and completed follow-ups at 4 and 8 weeks. Primary outcomes were self-reported severity measures for depression and generalized anxiety, and urine drug screens (UDS). Secondary outcomes included self-reported OUD severity, craving intensity, and digital biomarkers derived from passive smartphone sensors. The application was well-received (median app rating = 4/5 stars). The intervention group showed significant reductions in depressive and generalized anxiety symptoms post-intervention and at 8 weeks follow-up (d > 0.70), with large (d = 0.78) and moderate (d = 0.38) effect sizes, respectively, compared to controls. Both groups exhibited substantial decreases in self-reported severity of opioid use symptoms (d > 2.50). UDS suggested similar between-group adherence to MOUD, with a marginal decrease in opioid (MOP) use in the intervention group and increase in controls, yielding medium between group effect sizes (d = 0.44). Passive sensor data suggested significant increases in social connectedness in the intervention group, evidenced by a significant rise in incoming and outgoing calls and text connections. Initial evidence supports the feasibility and acceptability of a digital intervention for treating anxiety and depressive symptoms in persons receiving MOUD. While underpowered to confidently determine statistical significance beyond directionality, the intervention showed promise in reducing depressive and anxiety symptoms, suggesting its potential as a cost-effective and scalable adjunctive therapy alongside standard OUD treatment. Due to the preliminary nature of this pilot study, further research with sample sizes permitting greater statistical power is needed to confirm findings and explore long-term effects.

Longitudinal Use Patterns of Technology Subtypes During the Transition Into Early Adolescence: Results From the Adolescent Brain Cognitive Development Study.

PURPOSE: Adolescents encounter a complex digital environment, yet existing data on youth technology use rarely differentiates technology subtypes. This study maps the evolution and intricacies of youth engagement with technology subtypes. METHODS: N = 11,868 participants in the Adolescent Brain Cognitive Development study followed from ages ∼9/10 to ∼13/14. We examined youths' self-reported hours per day (hr/day) of technology subtypes: TV/Movies, video games, YouTube, social media, video chat, and texting. We used descriptive statistics and multilevel logistic regression to assess cross-sectional and longitudinal use patterns of technology subtypes, agreement between child and parent reports on the child's technology use, and associations between each technology subtype and sociodemographics (child's biological sex, parent education, income, and marital status). RESULTS: At age 9/10, ∼75% of youth reported minimal (<30 min/day) social technology use (social media, video chat, texting) and up to ∼1.5 hr/day of TV, video games, and YouTube. By age 13/14, TV trajectories were converging to >2 hr/day, but social technology trajectories "fanned out" into a wide range of usage rates. Child and parent reports were weakly correlated (rs range: 0.13-0.29). Using child-reported hours of technology use, increases in the subject-specific odds of using a technology >2 hr/day ranged from 25% (YouTube; 95% CI: 1.16-1.35) to 234% (social media; 95% CI: 3.14-3.55). Compared with males, females had ∼100-200% greater odds of >2 hr/day of social technologies, but ∼40-80% reduced odds of >2 hr/day of video games and YouTube. Higher parent education and income predicted significantly lower odds of >2 hr/day of use - regardless of technology subtype. DISCUSSION: Distributions of youths' self-reported technology engagement are highly contingent on technology subtype, age, and biological sex. Future research on youth development and technology may benefit from considering youths' varied digital experiences.

Cognitive tasks, anatomical MRI, and functional MRI data evaluating the construct of self-regulation.

We describe the following shared data from N = 103 healthy adults who completed a broad set of cognitive tasks, surveys, and neuroimaging measurements to examine the construct of self-regulation. The neuroimaging acquisition involved task-based fMRI, resting state fMRI, and structural MRI. Each subject completed the following ten tasks in the scanner across two 90-minute scanning sessions: attention network test (ANT), cued task switching, Columbia card task, dot pattern expectancy (DPX), delay discounting, simple and motor selective stop signal, Stroop, a towers task, and a set of survey questions. The dataset is shared openly through the OpenNeuro project, and the dataset is formatted according to the Brain Imaging Data Structure (BIDS) standard.

Prescription Digital Therapeutics: An Emerging Treatment Option for Negative Symptoms in Schizophrenia.

Digital therapeutics-web-based programs, smartphone applications, and wearable devices designed to prevent, treat, or manage clinical conditions through software-driven, evidence-based intervention-can provide accessible alternatives and/or may supplement standard care for patients with serious mental illnesses, including schizophrenia. In this article, we provide a targeted summary of the rapidly growing field of digital therapeutics for schizophrenia and related serious mental illnesses. First, we define digital therapeutics. Then, we provide a brief summary of the emerging evidence of the efficacy of digital therapeutics for improving clinical outcomes, focusing on potential mechanisms of action for addressing some of the most challenging problems, including negative symptoms of psychosis. Our focus on these promising targets for digital therapeutics, including the latest in prescription models in the commercial space, highlights future directions for research and practice in this exciting field.

Wiidookaage'win: Beta-test of a Facebook group intervention for Native women to support opioid use recovery.

INTRODUCTION: The ongoing opioid misuse epidemic has had a marked impact on American Indian/Alaska Native (AI/AN) communities. Culture- and gender-specific barriers to medically assisted recovery from opioid use disorder (OUD) have been identified, exacerbating its impact for AI/AN women. Wiidookaage'win is a community-based participatory research study that aims to develop a culturally tailored, moderated, private Facebook group intervention to support Minnesotan AI/AN women in medically assisted recovery from OUD. The current study assessed the preliminary feasibility and acceptability of the intervention in a beta-test to inform refinements before conducting a pilot randomized controlled trial (RCT). METHODS: The intervention was beta-tested for 30 days. Moderators were trained prior to delivering the intervention. Study assessments were conducted at baseline and post-intervention. The post-intervention assessments included substance use (self-report and urine drug screen), treatment acceptability, mental health, and spirituality outcomes. We examined intervention engagement patterns using Facebook metrics and qualitatively explored common topics that emerged in participant posts and comments. RESULTS: Ten AI/AN women taking medication for OUD (MOUD) were accrued (age range 25-62 years). Participants had been in opioid recovery a mean of 15.2 months (SD = 16.1; range = 3-60). The study participation rate (accrued/eligible) was 91 %. Nine participants completed the post-intervention survey assessment and eight completed a UDS. Acceptability was high based on the mean treatment satisfaction score (M = 4.8, SD = 0.2 out of a possible 5.0), Facebook group engagement, and positive qualitative feedback. All participants retained at post-intervention continued their MOUD treatment, and none had returned to opioid use. CONCLUSIONS: The beta-test indicated that the Facebook platform and study procedures generally worked as intended and that the intervention was largely acceptable to study participants. The results of this study phase provided valuable insights to inform refinements prior to conducting a pilot RCT to further assess the feasibility, acceptability, and potential efficacy of the intervention.

Evaluating preferences for medication formulation and treatment model among people who use opioids non-medically: A web-based cross-sectional study.

INTRODUCTION: Over the past decade, treatment for opioid use disorder has expanded to include long-acting injectable and implantable formulations of medication for opioid use disorder (MOUD), and integrated treatment models systematically addressing both behavioral and physical health. Patient preference for these treatment options has been underexplored. Gathering data on OUD treatment preferences is critical to guide the development of patient-centered treatment for OUD. This cross-sectional study assessed preferences for long-acting MOUD and integrated treatment using an online survey. METHODS: An online Qualtrics survey assessed preferences for MOUD formulation and integrated treatment models. The study recruited participants (n = 851) in October and November 2019 through advertisements or posts on Facebook, Google AdWords, Reddit, and Amazon Mechanical Turk (mTurk). Eligible participants scored a two or higher on the opioid pain reliever or heroin scales of the Tobacco, Alcohol Prescription Medication and other Substance Use (TAPS) Tool. Structured survey items obtained patient preference for MOUD formulation and treatment model. Using stated preference methods, the study assessed preference via comparison of preferred options for MOUD and treatment model. RESULTS: In the past year, 824 (96.8 %) participants reported non-prescribed use of opioid pain relievers (mean TAPS score = 2.72, SD = 0.46) and 552 (64.9 %) reported heroin or fentanyl use (mean TAPS score = 2.73, SD = 0.51). Seventy-four percent of participants (n = 631) reported currently or previously receiving OUD treatment, with 407 (48.4 %) receiving MOUD. When asked about preferences for type of MOUD formulation, 452 (53.1 %) preferred a daily oral formulation, 115 (13.5 %) preferred an implant, 114 (13.4 %) preferred a monthly injection and 95 (11.2 %) preferred a weekly injection. Approximately 8.8 % (n = 75) would not consider MOUD regardless of formulation. The majority of participants (65.2 %, n = 555) preferred receiving treatment in a specialized substance use treatment program distinct from their medical care, compared with receiving care in an integrated model (n = 296, 34.8 %). CONCLUSIONS: Though most participants expressed willingness to try long-acting MOUD formulations, the majority preferred short-acting formulations. Likewise, the majority preferred non-integrated treatment in specialty substance use settings. Reasons for these preferences provide insight on developing effective educational tools for patients and suggesting targets for intervention to develop a more acceptable treatment system.

Implementing a pharmacist-integrated collaborative model of medication treatment for opioid use disorder in primary care: study design and methodological considerations.

BACKGROUND: Pharmacists remain an underutilized resource in the treatment of opioid use disorder (OUD). Although studies have engaged pharmacists in dispensing medications for OUD (MOUD), few studies have evaluated collaborative care models in which pharmacists are an active, integrated part of a primary care team offering OUD care. METHODS: This study seeks to implement a pharmacist integrated MOUD clinical model (called PrIMO) and evaluate its feasibility, acceptability, and impact across four diverse primary care sites. The Consolidated Framework for Implementation Research is used as an organizing framework for study development and interpretation of findings. Implementation Facilitation is used to support PrIMO adoption. We assess the primary outcome, the feasibility of implementing PrIMO, using the Stages of Implementation Completion (SIC). We evaluate the acceptability and impact of the PrIMO model at the sites using mixed-methods and combine survey and interview data from providers, pharmacists, pharmacy technicians, administrators, and patients receiving MOUD at the primary care sites with patient electronic health record data. We hypothesize that it is feasible to launch delivery of the PrIMO model (reach SIC Stage 6), and that it is acceptable, will positively impact patient outcomes 1 year post model launch (e.g., increased MOUD treatment retention, medication regimen adherence, service utilization for co-morbid conditions, and decreased substance use), and will increase each site's capacity to care for patients with MOUD (e.g., increased number of patients, number of prescribers, and rate of patients per prescriber). DISCUSSION: This study will provide data on a pharmacist-integrated collaborative model of care for the treatment of OUD that may be feasible, acceptable to both site staff and patients and may favorably impact patients' access to MOUD and treatment outcomes. TRIAL REGISTRATION: The study was registered on Clinicaltrials.gov (NCT05310786) on April 5, 2022, https://www. CLINICALTRIALS: gov/study/NCT05310786?id=NCT05310786&rank=1.

Engagement, initiation, and retention in medication treatment for opioid use disorder among young adults: A narrative review of challenges and opportunities.

INTRODUCTION: Opioid Use Disorder (OUD) is a catastrophic public health problem for young adults (YAs) and their families. While medication for OUD (MOUD) is safe, effective, and recognized as the standard of care, its' uptake and success have been limited in YAs compared to older adults. METHODS: This narrative review summarizes the existing literature and highlights select studies regarding barriers to YA MOUD, potential explanations for those barriers, and strategies to overcome them. RESULTS: Barriers are prominent along the entire cascade of care, including: treatment engagement and entry, MOUD initiation, and MOUD retention. Hypothesized explanations for barriers include: developmental vulnerability, inadequate treatment system capacity, stigma against MOUD, among others. Interventions to address barriers include: promotion of family involvement, increasing provider capacity, integration of MOUD into primary care, assertive outreach, and others. CONCLUSIONS: Integrating an adapted version of family coaching from the Community Reinforcement Approach and Family Training (CRAFT) and other models into YA MOUD treatment serves as an example of an emerging novel practice that holds promise for broadening the funnel of engagement in treatment and initiation of MOUD, and enhancing treatment outcomes. This and other developmentally-informed approaches should be evaluated as part of a high-priority clinical and research agenda for improving OUD treatment for YAs.

Wiidookaage'Win: A Community-Based Qualitative Approach to Developing a Facebook Group Intervention for Native Women to Support Recovery From Opioid Use.

PURPOSE: To develop a culturally-tailored American Indian/Alaska Native (AI/AN) women's Facebook group supporting opioid recovery as an adjunct to medication. DESIGN: Community-based, qualitative approach. SETTING: Minnesota, U.S. PARTICIPANTS: AI/AN women in opioid recovery, interested parties, and a Community Advisory Committee (CAC) of AI/AN women with lived experience, health care providers, and community members. INTERVENTION: We developed evidence-based content focusing on stress/trauma and substance use, mindfulness, responding to triggers, and supportive community resources. Additional content centered on AI/AN culture was also selected. METHOD: Interviews were conducted by two women, then transcribed and coded using content analysis with NVivo software. Results were presented to CAC for further content refinement. RESULTS: CAC members (n = 10) guided study methods, intervention development, and dissemination activities. 14 AI/AN women (mean age 36.4 years; mean 6.7 months opioid abstinence) and 12 interested parties (7 men, 5 women) were receptive to an AI/AN gender-specific Facebook group, preferring content with AI/AN people and/or text resonating with AI/AN culture (e.g., Native traditions, family, personal stories, historical trauma). Recommendations included (1) protect confidentiality, (2) retain positivity, (3) incorporate resources and exercises to build coping skills, and (4) moderators should be authentic and relatable to build trust. CONCLUSIONS: Our approach provides a model for developing culturally tailored, appealing and effective social media interventions to support AI/AN women in recovery from opioid use disorder.

Stakeholder perspectives on a telemedicine referral and coordination model to expand medication treatment for opioid use disorder in rural primary care clinics.

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.

Cognitive tasks, anatomical MRI, and functional MRI data evaluating the construct of self-regulation.

We describe the following shared data from N=103 healthy adults who completed a broad set cognitive tasks, surveys, and neuroimaging measurements to examine the construct of self-regulation. The neuroimaging acquisition involved task-based fMRI, resting fMRI, and structural MRI. Each subject completed the following ten tasks in the scanner across two 90-minute scanning sessions: attention network test (ANT), cued task switching, Columbia card task, dot pattern expectancy (DPX), delay discounting, simple and motor selective stop signal, Stroop, a towers task, and a set of survey questions. Subjects also completed resting state scans. The dataset is shared openly through the OpenNeuro project, and the dataset is formatted according to the Brain Imaging Data Structure (BIDS) standard.

Culturally tailored digital therapeutic for substance use disorders with urban Indigenous people in the United States: A randomized controlled study.

INTRODUCTION: Indigenous people experience health disparities, including higher rates of substance use disorders (SUDs). Digital therapeutics are a growing platform for treatment services and have the potential to expand access to culturally responsive interventions for Indigenous people. As one of the first randomized controlled trials for SUDs for American Indian and Alaska Native (AI/AN) adults, the aim of this study was to pilot test the efficacy of a culturally tailored intervention among urban Indigenous adults. METHODS: The study used a randomized controlled parallel design of 12 weeks of treatment-as-usual (TAU) (n = 26) versus TAU + Therapeutic Education System-Native Version (TES-NAV) (n = 27) with follow-up assessments at end of treatment and week 24 in an urban outpatient addiction treatment program for Native American adults. TAU consisted of individual/group counseling and cultural activities. The TES-NAV arm comprised TAU + 26 self-directed culturally tailored digital skills-based modules grounded in the community reinforcement approach with contingency management for abstinence and module completion. Primary outcome was longest consecutive weeks of abstinence from drugs and heavy drinking measured using self-report (Timeline Followback) and urine alcohol and drug toxicology screen during 12 weeks of treatment. Secondary outcomes were percent days abstinence during and posttreatment, coping strategies, social connectedness, and substance use and sexual risk behaviors. RESULTS: The study enrolled fifty-three (52.8 % male) AI/AN adults seeking treatment for a SUD. Although the study did not detect a benefit of TAU+TES-NAV over TAU on the primary outcome (Median = 2 consecutive weeks of abstinence for both arms) at end of treatment (treatment effect: Z = -0.78, p = 0.437), TAU+TES-NAV participants did demonstrate significantly greater percent days of abstinence at the week 24 follow-up (69.3 % versus 49.0 % for TAU; t = 2.08, p = 0.045) and significantly greater change in social connectedness mean score, baseline to week 12 (Z = -2.66, p = 0.011), compared to TAU. The study detected no differences between treatment arms for coping strategies or risk behaviors. CONCLUSION: The addition of TES-NAV to TAU did not significantly improve consecutive weeks of abstinence from drugs or heavy drinking; however, several secondary findings suggest promise for a culturally tailored digital therapeutic SUD intervention among urban Indigenous people. CLINICAL TRIALS: GOV REGISTRATION: #NCT03363256.

Patient Engagement in a Multimodal Digital Phenotyping Study of Opioid Use Disorder.

BACKGROUND: Multiple digital data sources can capture moment-to-moment information to advance a robust understanding of opioid use disorder (OUD) behavior, ultimately creating a digital phenotype for each patient. This information can lead to individualized interventions to improve treatment for OUD. OBJECTIVE: The aim is to examine patient engagement with multiple digital phenotyping methods among patients receiving buprenorphine medication for OUD. METHODS: The study enrolled 65 patients receiving buprenorphine for OUD between June 2020 and January 2021 from 4 addiction medicine programs in an integrated health care delivery system in Northern California. Ecological momentary assessment (EMA), sensor data, and social media data were collected by smartphone, smartwatch, and social media platforms over a 12-week period. Primary engagement outcomes were meeting measures of minimum phone carry (≥8 hours per day) and watch wear (≥18 hours per day) criteria, EMA response rates, social media consent rate, and data sparsity. Descriptive analyses, bivariate, and trend tests were performed. RESULTS: The participants' average age was 37 years, 47% of them were female, and 71% of them were White. On average, participants met phone carrying criteria on 94% of study days, met watch wearing criteria on 74% of days, and wore the watch to sleep on 77% of days. The mean EMA response rate was 70%, declining from 83% to 56% from week 1 to week 12. Among participants with social media accounts, 88% of them consented to providing data; of them, 55% of Facebook, 54% of Instagram, and 57% of Twitter participants provided data. The amount of social media data available varied widely across participants. No differences by age, sex, race, or ethnicity were observed for any outcomes. CONCLUSIONS: To our knowledge, this is the first study to capture these 3 digital data sources in this clinical population. Our findings demonstrate that patients receiving buprenorphine treatment for OUD had generally high engagement with multiple digital phenotyping data sources, but this was more limited for the social media data. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.3389/fpsyt.2022.871916.

Implementing Programs to Initiate Buprenorphine for Opioid Use Disorder Treatment in High-Need, Low-Resource Emergency Departments: A Nonrandomized Controlled Trial.

STUDY OBJECTIVE: We hypothesized that implementation facilitation would enable us to rapidly and effectively implement emergency department (ED)-initiated buprenorphine programs in rural and urban settings with high-need, limited resources and dissimilar staffing structures. METHODS: This multicenter implementation study employed implementation facilitation using a participatory action research approach to develop, introduce, and refine site-specific clinical protocols for ED-initiated buprenorphine and referral in 3 EDs not previously initiating buprenorphine. We assessed feasibility, acceptability, and effectiveness by triangulating mixed-methods formative evaluation data (focus groups/interviews and pre/post surveys involving staff, patients, and stakeholders), patients' medical records, and 30-day outcomes from a purposive sample of 40 buprenorphine-receiving patient-participants who met research eligibility criteria (English-speaking, medically stable, locator information, nonprisoners). We estimated the primary implementation outcome (proportion receiving ED-initiated buprenorphine among candidates) and the main secondary outcome (30-day treatment engagement) using Bayesian methods. RESULTS: Within 3 months of initiating the implementation facilitation activities, each site implemented buprenorphine programs. During the 6-month programmatic evaluation, there were 134 ED-buprenorphine candidates among 2,522 encounters involving opioid use. A total of 52 (41.6%) practitioners initiated buprenorphine administration to 112 (85.1%; 95% confidence interval [CI] 79.7% to 90.4%) unique patients. Among 40 enrolled patient-participants, 49.0% (35.6% to 62.5%) were engaged in addiction treatment 30 days later (confirmed); 26 (68.4%) reported attending one or more treatment visits; there was a 4-fold decrease in self-reported overdose events (odds ratio [OR] 4.03; 95% CI 1.27 to 12.75). The ED clinician readiness increased by a median of 5.02 (95% CI: 3.56 to 6.47) from 1.92/10 to 6.95/10 (n(pre)=80, n(post)=83). CONCLUSIONS: The implementation facilitation enabled us to effectively implement ED-based buprenorphine programs across heterogeneous ED settings rapidly, which was associated with promising implementation and exploratory patient-level outcomes.

Augmenting project ECHO for opioid use disorder with data-informed quality improvement.

BACKGROUND: National opioid-related overdose fatalities totaled 650,000 from 1999 to 2021. Some of the highest rates occurred in New Hampshire, where 40% of the population lives rurally. Medications for opioid use disorder (MOUD; methadone, buprenorphine, and naltrexone) have demonstrated effectiveness in reducing opioid overdose and mortality. Methadone access barriers disproportionally impact rural areas and naltrexone uptake has been limited. Buprenorphine availability has increased and relaxed regulations reduces barriers in general medical settings common in rural areas. Barriers to prescribing buprenorphine include lack of confidence, inadequate training, and lack of access to experts. To address these barriers, learning collaboratives have trained clinics on best-practice performance data collection to inform quality improvement (QI). This project sought to explore the feasibility of training clinics to collect performance data and initiate QI alongside clinics' participation in a Project ECHO virtual collaborative for buprenorphine providers. METHODS: Eighteen New Hampshire clinics participating in a Project ECHO were offered a supplemental project exploring the feasibility of performance data collection to inform QI targeting increased alignment with best practice. Feasibility was assessed descriptively, through each clinic's participation in training sessions, data collection, and QI initiatives. An end-of-project survey was conducted to understand clinic staff perceptions of how useful and acceptable they found the program. RESULTS: Five of the eighteen health care clinics that participated in the Project ECHO joined the training project, four of which served rural communities in New Hampshire. All five clinics met the criteria for engagement, as each clinic attended at least one training session, submitted at least one month of performance data, and completed at least one QI initiative. Survey results showed that while clinic staff perceived the training and data collection to be useful, there were several barriers to collecting the data, including lack of staff time, and difficulty standardizing documentation within the clinic electronic health record. CONCLUSIONS: Results suggest that training clinics to monitor their performance and base QI initiatives on data has potential to impact clinical best practice. While data collection was inconsistent, clinics completed several data-informed QI initiatives, indicating that smaller scale data collection might be more attainable.

Care coordination between rural primary care and telemedicine to expand medication treatment for opioid use disorder: Results from a single-arm, multisite feasibility study.

PURPOSE: The use of telemedicine (TM) has accelerated in recent years, yet research on the implementation and effectiveness of TM-delivered medication treatment for opioid use disorder (MOUD) has been limited. This study investigated the feasibility of implementing a care coordination model involving MOUD delivered via an external TM provider for the purpose of expanding access to MOUD for patients in rural settings. METHODS: The study tested a care coordination model in 6 rural primary care sites by establishing referral and coordination between the clinic and a TM company for MOUD. The intervention spanned approximately 6 months from July/August 2020 to January 2021, coinciding with the peak of the COVID-19 pandemic. Each clinic tracked patients with OUD in a registry during the intervention period. A pre-/post-intervention design (N = 6) was used to assess the clinic-level outcome as patient-days on MOUD based on patient electronic health records. FINDINGS: All clinics implemented critical components of the intervention, with an overall TM referral rate of 11.7% among patients in the registry. Five of the 6 sites showed an increase in patient-days on MOUD during the intervention period compared to the 6-month period before the intervention (mean increase per 1,000 patients: 132 days, P = .08, Cohen's d = 0.55). The largest increases occurred in clinics that lacked MOUD capacity or had a greater number of patients initiating MOUD during the intervention period. CONCLUSIONS: To expand access to MOUD in rural settings, the care coordination model is most effective when implemented in clinics that have negligible or limited MOUD capacity.

Integrating Depression and Alcohol Use Care Into Primary Care in Low- and Middle-Income Countries: A Meta-Analysis.

OBJECTIVE: Evaluation of the effectiveness of integration of depression and alcohol use disorder care into primary health care in low- and middle-income countries (LMICs) is limited. The authors aimed to quantify the effectiveness of integrating mental health care into primary care by examining depression and alcohol use disorder outcomes. The study updates a previous systematic review summarizing research on care integration in LMICs. METHODS: Following PRISMA guidelines, the authors included studies from the previous review and studies published from 2017 to 2020 that included adults with alcohol use disorder or depression. Studies were evaluated for type of integration model with the typology developed previously. A meta-analysis using a random-effects model to assess effectiveness of integrated interventions was conducted. Meta-regression analyses to examine the impact of study characteristics on depression and alcohol use disorder outcomes were conducted. RESULTS: In total, 49 new articles were identified, and 74 articles from the previous and current studies met inclusion criteria for the meta-analysis. Overall random effect sizes were 0.28 (95% CI=0.22-0.35) and 0.17 (95% CI=0.11-0.24) for studies targeting care integration for depression or for alcohol use disorder, respectively, into primary care in LMICs. High heterogeneity within and among studies was observed. No significant association was found between country income level and depression and alcohol use outcomes. However, differences in effect sizes between types of integration model were statistically significant (p<0.001). CONCLUSIONS: Integration of mental health care into primary health care in LMICs was found to improve depression and alcohol use disorder outcomes. This evidence should be considered when designing interventions to improve mental health screening and treatment in LMICs.

The impact of COVID-19 on the treatment of opioid use disorder in carceral facilities: a cross-sectional study.

While the COVID-19 pandemic disrupted healthcare delivery everywhere, persons with carceral system involvement and opioid use disorder (OUD) were disproportionately impacted and vulnerable to severe COVID-associated illness. Carceral settings and community treatment programs (CTPs) rapidly developed protocols to sustain healthcare delivery while reducing risk of COVID-19 transmission. This survey study assessed changes to OUD treatment, telemedicine use, and re-entry support services among carceral and CTPs participating in the National Institute on Drug Abuse (NIDA)-funded study, Long-Acting Buprenorphine vs. Naltrexone Opioid Treatments in Criminal Justice System-Involved Adults (EXIT-CJS) study. In December 2020, carceral sites (n = 6; median pre-COVID 2020 monthly census = 3468 people) and CTPs (n = 7; median pre-COVID 2020 monthly census = 550 patients) participating in EXIT-CJS completed a cross-sectional web-based survey. The survey assessed changes pre- (January-March 2020) and post- (April-September 2020) COVID-19 in OUD treatment, telemedicine use, re-entry supports and referral practices. Compared to January-March 2020, half of carceral sites (n = 3) increased the total number of persons initiating medication for opioid use disorder (MOUD) from April-September 2020, while a third (n = 2) decreased the number of persons initiated. Most CTPs (n = 4) reported a decrease in the number of new admissions from April-September 2020, with two programs stopping or pausing MOUD programs due to COVID-19. All carceral sites with pre-COVID telemedicine use (n = 5) increased or maintained telemedicine use, and all CTPs providing MOUD (n = 6) increased telemedicine use. While expansion of telemedicine services supported MOUD service delivery, the majority of sites experienced challenges providing community support post-release, including referrals to housing, employment, and transportation services. During the COVID-19 pandemic, this small sample of carceral and CTP sites innovated to continue delivery of treatment for OUD. Expansion of telemedicine services was critical to support MOUD service delivery. Despite these innovations, sites experienced challenges providing reintegration supports for persons in the community. Pre-COVID strategies for identifying and engaging individuals while incarcerated may be less effective since the pandemic. In addition to expanding research on the most effective telemedicine practices for carceral settings, research exploring strategies to expand housing and employment support during reintegration are critical.

Perceived access to general and mental healthcare in primary care in Colombia during COVID-19: A cross-sectional study.

Introduction: The COVID-19 pandemic has had an impact both in general and mental healthcare, challenged the health systems worldwide, and affected their capacity to deliver essential health services. We aimed to describe perceived changes in ease of access to general and mental healthcare among patients with a diagnosis of depression and/or unhealthy alcohol use in Colombia. Methods: This study is embedded in the DIADA project, a multicenter implementation research study aimed at evaluating the integration of mental healthcare in primary care in Colombia. Between November 2020 and August 2021, we conducted a COVID-19 pandemic impact assessment in a cohort of participants with newly diagnosed depression and/or unhealthy alcohol use part of DIADA project. We assessed the ease of access and factors related to perceived ease of access to general or mental healthcare, during the COVID-19 pandemic. Results: 836 participants completed the COVID-19 pandemic impact assessment. About 30% of participants considered their mental health to be worse during the pandemic and 84.3% perceived access to general healthcare to be worse during the pandemic. Most of participants (85.8%) were unable to assess access to mental health services, but a significant proportion considered it to be worse. Experiencing worse ease of access to general healthcare was more frequent among women, patients with diagnosis of depression, and patients with comorbidities. Experiencing worse ease of access to mental healthcare was more frequent among patients aged between 30 and 49.9 years, from socioeconomic status between 4 and 6, affiliated to the contributive social security regime, attending urban study sites, and those who perceived their mental health was worse during the pandemic. Discussion: Despite the overall perception of worse mental health during the pandemic, the use of mental healthcare was low compared to general healthcare. Ease of access was perceived to be worse compared to pre-pandemic. Ease of access and access were affected by geographical study site, socioeconomic status, age and gender. Our findings highlight the need for improved communication between patients and institutions, tailored strategies to adapt the healthcare provision to patients' characteristics, and continued efforts to strengthen the role of mental healthcare provision in primary care.