Characteristics and engagement among English-language online forums for addiction recovery available in the US.

In developing public resources for the Networks Enhancing Addiction Recovery - Forum Activity Roadmap (NEAR-FAR), we completed a systematic observational study of English-language online forums related to recovery from alcohol or other drug addiction in late 2021. Among 207 identified forums, the majority were classified as "general addiction" or alcohol-focused, though classifications related to other substances were common on websites hosting multiple forums. Commonly used social media platforms such as Reddit, Facebook, or Quora offered easily accessible venues for individuals seeking online support related to a variety of substances. Forums were related to established recovery programs such as 12-step and SMART Recovery as well as other nonprofit and for-profit recovery programs, and to community forums without formal recovery programming. Among 148 forums with any observed user activity, the median time between unique user engagements was 27 days (inter-quartile range: 2-74). Among 98 forums with past-month posting activity, we found a median of <10 posts per week (inter-quartile range: 1-78). This study compares three metrics of observed forum activity (posts per week, responses per post, time between unique user engagements) and operationalizes forum characteristics that may potentiate opportunities for enhanced engagement and social support in addiction recovery.

Implementing harm reduction kits in an office-based addiction treatment program.

BACKGROUND: The rising rates of drug use-related complications call for a paradigm shift in the care for people who use drugs. While addiction treatment and harm reduction have historically been siloed in the US, co-location of these services in office-based addiction treatment (OBAT) settings offers a more realistic and patient-centered approach. We describe a quality improvement program on integrating harm reduction kits into an urban OBAT clinic. METHODS: After engaging appropriate stakeholders and delivering clinician and staff trainings on safer use best practices, we developed a clinical workflow for universal offering and distribution of pre-packaged kits coupled with patient-facing educational handouts. We assessed: (1) kit uptake with kit number and types distributed; and (2) implementation outcomes of feasibility, acceptability, appropriateness, and patient perceptions. RESULTS: One-month post-implementation, 28% (40/141) of completed in-person visits had at least one kit request, and a total of 121 kits were distributed. Staff and clinicians found the program to be highly feasible, acceptable, and appropriate, and patient perceptions were positive. CONCLUSIONS: Incorporating kits in OBAT settings is an important step toward increasing patient access and utilization of life-saving services. Our program uncovered a significant unmet need among our patients, suggesting that kit integration within addiction treatment can improve the standard of care for people who use drugs.

Back Pain Consortium (BACPAC): Protocol and Pilot Study Results for a Randomized Comparative-Effectiveness Trial of Antidepressants, Fear Avoidance Rehabilitation, or the Combination for Chronic Low Back Pain and Comorbid High Negative Affect.

OBJECTIVE: Patients with chronic low back pain (CLBP) and comorbid depression or anxiety disorders are highly prevalent. Negative affect (NA) refers to a combination of negative thoughts, emotions, and behaviors. Patients with CLBP with high NA have greater pain, worse treatment outcomes, and greater prescription opioid misuse. We present the protocol for SYNNAPTIC (SYNergizing Negative Affect & Pain Treatment In Chronic pain). DESIGN: A randomized comparative-effectiveness study of antidepressants, fear-avoidance rehabilitation, or their combination in 300 patients with CLBP with high NA. In the antidepressant- or rehabilitation-only arms, SYNNAPTIC includes an adaptive design of re-randomization after 4 months for nonresponders. SETTING: A multisite trial conducted in routine pain clinical treatment settings: pain clinics and physical and occupational therapy treatment centers. METHODS: Inclusion criteria include CLBP with elevated depression and anxiety symptoms. Antidepressant and rehabilitation treatments follow validated and effective protocols for musculoskeletal pain in patients with high NA. Power and sample size are based on superior outcomes of combination therapy with these same treatments in a 71-subject 4-arm pilot randomized controlled trial. CONCLUSIONS: SYNNAPTIC addresses the lack of evidence-based protocols for the treatment of the vulnerable subgroup of patients with CLBP and high NA. We hypothesize that combination therapy of antidepressants plus fear-avoidance rehabilitation will be more effective than each treatment alone. TRIAL REGISTRATION: ClinicalTrials.gov ID: NCT04747314.

Characterizing online social support for alcohol use disorder: A mixed-methods approach.

BACKGROUND: Online social media communities are increasingly popular venues for discussing alcohol use disorder (AUD) and recovery. Little is known about distinct contexts of social support that are exchanged in this milieu, which are critical to understanding the social dynamics of online recovery support. METHODS: We randomly selected one post per day over the span of a year from the StopDrinking recovery forum. Direct responses to posts were double coded within an established theoretical framework of social support. Within a mixed-methods research framework, we quantified the linguistic characteristics of 1386 responses (i.e., text length, complexity, and sentiment) and qualitatively explored themes within and among different types of social support. RESULTS: Emotional support was most prevalent (74% of responses) and appeared as the sole form of support in 38% of responses. Emotionally supportive responses were significantly shorter, less complex, and more positively valenced than other support types. Appraisal support was also common in 55% of responses, while informational support was identified in only 17%. There was substantial overlap among support types, with 40% of responses including two or more types. Salient themes included the common use of community-specific acronyms in emotional support. Appraisal support conveyed feedback about attitudes and behaviors that are perceived as (un-) favorable for AUD recovery. Informational support responses were composed primarily of recommendations for self-help literature, clinical treatment approaches, and peer recovery programs. CONCLUSIONS: Social support in this sample was primarily emotional in nature, with other types of support included to provide feedback and guidance (i.e., appraisal support) and supplemental recovery resources (i.e., informational support). The provided social support framework can be helpful in characterizing community dynamics among heterogeneous online AUD recovery support forums. This framework could also be helpful in considering changes in support approaches that correspond to progress in recovery.

Effect of Different Interventions to Help Primary Care Clinicians Avoid Unsafe Opioid Prescribing in Opioid-Naive Patients With Acute Noncancer Pain: A Cluster Randomized Clinical Trial.

Importance: Prescription opioids can treat acute pain in primary care but have potential for unsafe use and progression to prolonged opioid prescribing. Objective: To compare clinician-facing interventions to prevent unsafe opioid prescribing in opioid-naive primary care patients with acute noncancer pain. Design Setting and Participants: We conducted a multisite, cluster-randomized, 2 × 2 factorial, clinical trial in 3 health care systems that comprised 48 primary care practices and 525 participating clinicians from September 2018 through January 2021. Patient participants were opioid-naive outpatients, 18 years or older, who presented for a qualifying clinic visit with acute noncancer musculoskeletal pain or nonmigraine headache. Interventions: Practices randomized to: (1) control; (2) opioid justification; (3) monthly clinician comparison emails; or (4) opioid justification and clinician comparison. All groups received opioid prescribing guidelines via the electronic health record at the time of a new opioid prescription. Main Outcomes and Measures: Primary outcome measures were receipt of an initial opioid prescription at the qualifying clinic visit. Other outcomes were opioid prescribing for more than 3 months and a concurrent opioid/benzodiazepine prescription over 12-month follow-up. Results: Among 22 616 enrolled patient participants (9740 women [43.1%]; 64 American Indian/Alaska Native [0.3%]; 590 Asian [2.6%], 1120 Black/African American [5.0%], 1777 Hispanic [7.9%], 225 Native Hawaiian/Pacific Islander [1.0%], and 18 981 White [83.9%] individuals), the initial opioid prescribing rates at the qualifying clinic visit were 3.1% in the total sample, 4.2% in control, 3.6% in opioid justification, 2.6% in clinician comparison, and 1.9% in opioid justification and clinician comparison. Compared with control, the adjusted odds ratio (aOR) for a new opioid prescription was 0.74 (95% CI, 0.46-1.18; P = .20) for opioid justification and 0.60 (95% CI, 0.38-0.96; P = .03) for clinician comparison. Compared with control, clinician comparison was associated with decreased odds of opioid therapy of more than 3 months (aOR, 0.79; 95% CI, 0.69-0.91; P = .001) and concurrent opioid/benzodiazepine prescription (aOR, 0.85; 95% CI, 0.72-1.00; P = .04), whereas opioid justification did not have a significant effect. Conclusions and Relevance: In this cluster randomized clinical trial, comparison emails decreased the proportion of opioid-naive patients with acute noncancer pain who received an opioid prescription, progressed to treatment with long-term opioid therapy, or were exposed to concurrent opioid and benzodiazepine therapy. Health care systems can consider adding clinician-targeted nudges to other initiatives as an efficient, scalable approach to further decrease potentially unsafe opioid prescribing. Trial Registration: ClinicalTrials.gov Identifier: NCT03537573.

Using practice facilitation to improve alcohol-related care in primary care: a mixed-methods pilot study protocol.

BACKGROUND: Alcohol use is a significant risk factor for disability and death in U.S. adults, and approximately one out of every six Veterans seen in primary care (PC) report unhealthy alcohol use. Unhealthy alcohol use is associated with increased risk for poor medical outcomes, substantial societal costs, and death, including suicide. Based on substantial evidence from randomized controlled trials and the U.S. Preventive Services Task Force, VA/DoD clinical guidelines stipulate that all Veterans screening positive for unhealthy alcohol use should receive evidence-based alcohol care in PC, including brief counseling interventions (BI) and additional treatment (e.g., pharmacotherapy) for those with alcohol use disorders (AUD). The VA pioneered implementing alcohol screening and BI in PC, yet substantial implementation gaps remain. To improve alcohol-related care, this study will conduct a pilot study to assess whether a multi-faceted evidence-based implementation strategy-practice facilitation-has the potential to improve PC-based alcohol-related care at a single VA clinic. METHODS: We will first recruit and conduct qualitative interviews with Veterans with unhealthy alcohol use (n = 20-25) and PC stakeholders (N = 10-15) to understand barriers and facilitators to high-quality alcohol care and use results to refine and hone the multifaceted practice facilitation intervention. Qualitative interviews, analysis, and refinement of the intervention will be guided by the Consolidated Framework for Implementation Research (CFIR). Focus groups with a small sample of PC providers and staff (n = 5-7) will be used to further refine the practice facilitation intervention and assess its acceptability and feasibility. The refined practice facilitation intervention will then be offered in the PC clinic to assess implementation (e.g., reach) and effectiveness (reduced drinking) outcomes based on the RE-AIM framework. DISCUSSION: This research directly addresses one of the largest public health crises of our time, as alcohol kills more people than opioids and is associated with increased risk of suicide. If successful, this pilot may generate an intervention with far-reaching effects on adverse outcomes experienced by Veterans with unhealthy alcohol use, including increased access to care and suicide prevention. Trial registration Clinicaltrials.gov identifier: NCT04565899; Date of registration: 9/25/2020.

Using Intervention Mapping to Develop a Novel Pain Self-Management Intervention for People with Cirrhosis.

BACKGROUND: Chronic pain is common among patients with cirrhosis and is challenging to treat. While promising, pain self-management (PSM) interventions have not been tailored to this population's needs. AIMS: To design a PSM intervention for patients with cirrhosis. METHODS: Semi-structured interviews with 17 patients with cirrhosis, 12 hepatologists, and 6 administrators from two medical centers were conducted to inform a rigorous, structured intervention mapping (IM) process. Qualitative content analysis was guided by social cognitive theory (SCT) and the Consolidated Framework for Implementation Research (CFIR) and incorporated into intervention development. A planning group met regularly throughout the intervention, to reach consensus about how to use data and theory to develop the intervention through IM. RESULTS: Participants described barriers to PSM behaviors, including the absence of simple, evidence-based interventions for pain for patients with cirrhosis, inadequate provider knowledge, time, and training, and lack of champions, funding, and communication. Patients described high motivation to treat pain using behavioral methods including meditation, prayer, and exercise. The intervention was designed to address barriers to PSM behaviors for patients with cirrhosis, using behavior change methods that address knowledge, self-efficacy, and outcome expectations. The LEAP (Liver Education About Pain) intervention is a 12-week, modular intervention delivered by phone via individual and group sessions with a health coach. CONCLUSIONS: People with cirrhosis, hepatologists, and administrators informed this theory-driven, tailored PSM intervention, which was designed to be implementable in the real world.

Twelve-Month Retention in Opioid Agonist Treatment for Opioid Use Disorder Among Patients With and Without HIV.

Although opioid agonist therapy (OAT) is associated with positive health outcomes, including improved HIV management, long-term retention in OAT remains low among patients with opioid use disorder (OUD). Using data from the Veterans Aging Cohort Study (VACS), we identify variables independently associated with OAT retention overall and by HIV status. Among 7,334 patients with OUD, 13.7% initiated OAT, and 27.8% were retained 12-months later. Likelihood of initiation and retention did not vary by HIV status. Variables associated with improved likelihood of retention included receiving buprenorphine (relative to methadone), receiving both buprenorphine and methadone at some point over the 12-month period, or diagnosis of HCV. History of homelessness was associated with a lower likelihood of retention. Predictors of retention were largely distinct between patients with HIV and patients without HIV. Findings highlight the need for clinical, systems, and research initiatives to better understand and improve OAT retention.

Impact of intensity of behavioral treatment, with or without medication treatment, for opioid use disorder on HIV outcomes in persons with HIV.

BACKGROUND: Persons with HIV (PWH) and opioid use disorder (OUD) can have poor health outcomes. We assessed whether intensity of behavioral treatment for OUD (BOUD) with and without medication for OUD (MOUD) is associated with improved HIV clinical outcomes. METHODS: We used Veterans Aging Cohort Study (VACS) data from 2008 to 2017 to identify PWH and OUD with ≥1 BOUD episode. We assessed BOUD intensity and ≥6 months of MOUD (methadone or buprenorphine) receipt during the 12 months after BOUD initiation. Linear regression models assessed the association of BOUD intensity and MOUD receipt with pre-post changes in log viral load (VL), CD4 cell count, VACS Index 2.0, antiretroviral treatment (ART) initiation, and ART adherence. RESULTS: Among 2419 PWH who initiated BOUD, we identified five distinct BOUD intensity trajectories: single visit (39% of sample); low-intensity, not sustained (37%); high-intensity, not sustained (9%); low-intensity, sustained (11%); and high-intensity, sustained (5%). MOUD receipt was low (17%). Among 709 PWH not on ART at the start of BOUD, ART initiation increased with increased BOUD intensity (p < 0.01). Among 1401 PWH on ART at the start of BOUD, ART adherence improved more in higher-intensity BOUD groups (p < 0.01). VL, CD4 count and VACS Index 2.0 did not differ by BOUD or ≥6 months of MOUD treatment. CONCLUSION: Among PWH and OUD who initiated BOUD, higher intensity BOUD was associated with improved ART initiation and adherence, but neither BOUD alone nor BOUD plus ≥6 months MOUD was associated with improvements in VL, CD4 count or VACS Index 2.0.

A comparison of methods for measuring spatial access to health care.

OBJECTIVE: To compare measures of spatial access to care commonly used by policy makers and researchers with the more comprehensive enhanced two-step floating catchment area (E2SFCA) method. STUDY SETTING: Fourteen southwestern Pennsylvania counties. STUDY DESIGN: We estimated spatial access to buprenorphine-waivered prescribers using three commonly used measures-Euclidean travel distance to the closest prescriber, travel time to the closest provider, and provider-to-population ratios-and the E2SFCA. Unlike other measures, the E2SFCA captures provider capacity, potential patient volume, and travel time to prescribers. DATA COLLECTION/EXTRACTION METHODS: We measured provider capacity as the number of buprenorphine prescribers listed at a given address in the Drug Enforcement Agency's 2020 Controlled Substances Act Registrants Database, and we measured potential patient volume as the number of nonelderly adults in a given census tract as reported by the 2018 American Community Survey. We estimated travel times between potential patients and prescribers with Bing Maps and Mapbox application programming interfaces. We then calculated each spatial access measure using the R programming language. We used each measure of spatial access to identify census tracts in the lowest quintile of spatial access to prescribers. PRINCIPAL FINDINGS: The Euclidean distance, travel time, and provider-to-population ratio measures identified 48.3%, 47.2%, and 69.9% of the census tracts that the E2SFCA measure identified as being in the lowest quintile of spatial access to care, meaning that these measures misclassify 30%-52% of study area census tracts as having sufficient spatial access to buprenorphine prescribers. CONCLUSIONS: Measures of spatial access commonly used by policy makers do not sufficiently accurately identify geographic areas with relatively low access to prescribers of buprenorphine. Using the E2SFCA in addition to the commonly used measures would allow policy makers to precisely target interventions to increase spatial access to opioid use disorder treatment and other types of health care services.

Perceptions of Resident Autonomy in Internal Medicine, Pediatrics, and Internal Medicine-Pediatrics.

BACKGROUND: Although graduated autonomy is an essential component of residency training, we have an incomplete understanding of resident and attending faculty perceptions of autonomy. OBJECTIVE: In this study, we assessed differences in perceived autonomy among residents and faculty in pediatrics, internal medicine, and combined internal medicine-pediatrics. METHODS: We surveyed senior-level (PGY-2-5) residents and faculty in pediatrics, internal medicine, and combined internal medicine-pediatrics in three large, urban training centers in November 2014. The survey included domain items such as general perceptions of autonomy, case management, rounding structure, and individual resident and faculty factors that may interplay with the granting or receiving of autonomy. RESULTS: Of 489 eligible respondents, 215 (44%) responded. Internal medicine-pediatrics residents were more likely than categorical pediatrics residents and pediatrics faculty to disagree that they received an appropriate level of autonomy while on inpatient pediatrics general wards (mean = 2.7 relative to 4.0 and 4.3, categorical residents and faculty; 5-point Likert scale; P < .001). On a 5-point Likert scale, the internal medicine-pediatrics residents were more likely to agree that they received too much oversight on pediatrics general ward rotations (mean, 3.9) compared to internal medicine general ward rotations (mean, 1.9) with a P-value between rotations of <.001. Combined internal medicine-pediatrics perceptions of too much oversight while on pediatric general ward rotations were significantly different from their categorical pediatrics peers (pediatrics mean 2.0, P < .001). CONCLUSIONS: Internal medicine-pediatrics residents have differing perceptions of autonomy from their categorical peers as well as categorical supervising faculty. Combined Internal medicine-pediatrics residents' perceived oversight on pediatrics rotations differently from their categorical pediatrics peers and also differently from their experiences on internal medicine wards. A better understanding of combined internal medicine-pediatrics residents' perceptions of autonomy and supervision can help inform future work regarding autonomy-supportive strategies to optimize learning.

Trajectories of Opioid Use Following First Opioid Prescription in Opioid-Naive Youths and Young Adults.

Importance: Although prescription opioids are the most common way adolescents and young adults initiate opioid use, many studies examine population-level risks following the first opioid prescription. There is currently a lack of understanding regarding how patterns of opioid prescribing following the first opioid exposure may be associated with long-term risks. Objective: To identify distinct patterns of opioid prescribing following the first prescription using group-based trajectory modeling and examine the patient-, clinician-, and prescription-level factors that may be associated with trajectory membership during the first year. Design, Setting, and Participants: This cohort study examined Pennsylvania Medicaid enrollees' claims data from 2010 through 2016. Participants were aged 10 to 21 years at time of first opioid prescription. Data analysis was performed in March 2020. Main Outcomes and Measures: This study used group-based trajectory modeling and defined trajectory status by opioid fill. Results: Among the 189 477 youths who received an initial opioid prescription, 107 562 were female (56.8%), 81 915 were non-Latinx White (59.6%), and the median age was 16.9 (interquartile range [IQR], 14.6-18.8) years. During the subsequent year, 47 477 (25.1%) received at least one additional prescription. Among the models considered, the 2-group trajectory model had the best fit. Of those in the high-risk trajectory, 65.3% (n = 901) filled opioid prescriptions at month 12, in contrast to 13.1% (n = 6031) in the low-risk trajectory. Median age among the high-risk trajectory was 19.0 years (IQR, 17.1-20.0 years) compared with the low-risk trajectory (17.8 years [IQR, 15.8-19.4 years]). The high-risk trajectory received more potent prescriptions compared with the low-risk trajectory (median dosage of the index month for high-risk trajectory group: 10.0 MME/d [IQR, 5.0-21.2 MME/d] vs the low-risk trajectory group: 4.7 MME/d [IQR, 2.5-7.8 MME/d]; P < .001). The trajectories showed persistent differences with more youths in the high-risk trajectory going on to receive a diagnosis of opioid use disorder (30.0%; n = 412) compared with the low-risk group (10.1%; n = 4638) (P < .001). Conclusions and Relevance: This study's results identified 2 trajectories associated with elevated risk for persistent opioid receipt within 12 months following first opioid prescription. The high-risk trajectory was characterized by older age at time of first prescription, and longer and more potent first prescriptions. These findings suggest even short and low-dose opioid prescriptions can be associated with risks of persistent use for youths.

Medication Treatment of Active Opioid Use Disorder in Veterans With Cirrhosis.

INTRODUCTION: Although opioid use disorder (OUD) is common in patients with cirrhosis, it is unclear how medication treatment for OUD (MOUD) is used in this population. We aimed to assess the factors associated with MOUD and mortality in a cohort of Veterans with cirrhosis and OUD. METHODS: Within the Veterans Health Administration Corporate Data Warehouse, we developed a cohort of Veterans with cirrhosis and active OUD, using 2 outpatient or 1 inpatient International Classification of Diseases, ninth revision codes from 2011 to 2015 to define each condition. We assessed MOUD initiation with methadone or buprenorphine over the 180 days following the first OUD International Classification of Diseases, ninth revision code in the study period. We fit multivariable regression models to assess the association of sociodemographic and clinical factors with receiving MOUD and the associations between MOUD and subsequent clinical outcomes, including new hepatic decompensation and mortality. RESULTS: Among 5,600 Veterans meeting criteria for active OUD and cirrhosis, 722 (13%) were prescribed MOUD over 180 days of follow-up. In multivariable modeling, MOUD was significantly, positively associated with age (adjusted odds ratio [AOR] per year: 1.04, 95% confidence interval (CI): 1.01-1.07), hepatitis C virus (AOR = 2.15, 95% CI = 1.37-3.35), and other substance use disorders (AOR = 1.47, 95% CI = 1.05-2.04) negatively associated with alcohol use disorder (AOR = 0.70, 95% CI = 0.52-0.95), opioid prescription (AOR = 0.51, 95% CI = 0.38-0.70), and schizophrenia (AOR = 0.59, 95% CI = 0.37-0.95). MOUD was not significantly associated with mortality (adjusted hazards ratio = 1.20, 95% CI = 0.95-1.52) or new hepatic decompensation (OR = 0.57, CI = 0.30-1.09). DISCUSSION: Few Veterans with active OUD and cirrhosis received MOUD, and those with alcohol use disorder, schizophrenia, and previous prescriptions for opioids were least likely to receive these effective therapies.

Correction: Addressing Implementation Challenges to Digital Care Delivery for Adults With Multiple Chronic Conditions: Stakeholder Feedback in a Randomized Controlled Trial.

[This corrects the article DOI: 10.2196/23498.].

Addressing Implementation Challenges to Digital Care Delivery for Adults With Multiple Chronic Conditions: Stakeholder Feedback in a Randomized Controlled Trial.

BACKGROUND: Digital tools accessed via smartphones can promote chronic condition management, reduce disparities in health care and hospital readmissions, and improve quality of life. However, whether digital care strategies can be implemented successfully on a large scale with traditionally underserved populations remains uncertain. OBJECTIVE: As part of a randomized trial comparing care delivery strategies for Medicaid and Medicare-Medicaid beneficiaries with multiple chronic conditions, our stakeholders identified implementation challenges, and we developed stakeholder-driven adaptions to improve a digitally delivered care management strategy (high-tech care). METHODS: We used 4 mechanisms (study support log, Patient Partners Work Group log, case interview log, and implementation meeting minutes) to capture stakeholder feedback about technology-related challenges and solutions from 9 patient partners, 129 participants, and 32 care managers and used these data to develop and implement solutions. To assess the impact, we analyzed high-tech care exit surveys and intervention engagement outcomes (video visits and condition-specific text message check-ins sent at varying intervals) before and after each solution was implemented. RESULTS: Challenges centered around 2 themes: difficulty using both smartphones and high-tech care components and difficulty using high-tech care components due to connectivity issues. To respond to the first theme's challenges, we devised 3 solutions: tech visits (eg, in-person technology support visits), tech packet (eg, participant-facing technology user guide), and tailored condition-specific text message check-ins. During the first 20 months of implementation, 73 participants received at least one tech visit. We observed a 15% increase in video call completion for participants with data before and after the tech visit (n=25) and a 7% increase in check-in completion for participants with data before and after the tech visit (n=59). Of the 379 participants given a tech packet, 179 completed care during this timeframe and were eligible for an exit survey. Of the survey respondents, 76% (73/96) found the tech packet helpful and 64% (62/96) actively used it during care. To support condition-specific text message check-in completion, we allowed for adaption of day and/or time of the text message with 31 participants changing the time they received check-ins and change in standard biometric settings with 13 physicians requesting personalized settings for participants. To respond to the second theme's challenges, tech visits or phone calls were made to demonstrate how to use a smartphone to connect or disconnect from the internet, to schedule video calls, or for condition-specific text message check-ins in a location with broadband/internet. CONCLUSIONS: Having structured stakeholder feedback mechanisms is key to identify challenges and solutions to digital care engagement. Creating flexible and scalable solutions to technology-related challenges will increase equity in accessing digital care and support more effective engagement of chronically ill populations in the use of these digital care tools. TRIAL REGISTRATION: ClinicalTrials.gov NCT03451630; https://clinicaltrials.gov/ct2/show/NCT03451630.

Alcohol Use and Antiretroviral Adherence Among Patients Living with HIV: Is Change in Alcohol Use Associated with Change in Adherence?

Alcohol use increases non-adherence to antiretroviral therapy (ART) among persons living with HIV (PLWH). Dynamic longitudinal associations are understudied. Veterans Aging Cohort Study (VACS) data 2/1/2008-7/31/16 were used to fit linear regression models estimating changes in adherence (% days with ART medication fill) associated with changes in alcohol use based on annual clinically-ascertained AUDIT-C screening scores (range - 12 to + 12, 0 = no change) adjusting for demographics and initial adherence. Among 21,275 PLWH (67,330 observations), most reported no (48%) or low-level (39%) alcohol use initially, with no (55%) or small (39% ≤ 3 points) annual change. Mean initial adherence was 86% (SD 21%), mean annual change was - 3.1% (SD 21%). An inverted V-shaped association was observed: both increases and decreases in AUDIT-C were associated with greater adherence decreases relative to stable scores [p < 0.001, F (4, 21,274)]. PLWH with dynamic alcohol use (potentially indicative of alcohol use disorder) should be considered for adherence interventions.

RESUMEN: El consumo de alcohol aumenta el no-cumplimiento a la terapia antirretroviral (TARV) entre las personas que viven con VIH. No se han estudiado lo suficiente las dinámicas asociaciones longitudinales. Los datos del Estudio de la Envejecimiento de Cohorte de Veteranos (EECV) (1/2/2008­31/7/2016) fueron usados para encajar modelos de regresión lineal estimando los cambios en cumplimiento (% de días con medicaciones TARV surtidas) asociados con los cambios en el consumo de alcohol basado en los resultados anuales de las evaluaciones AUDIT-C, determinadas clínicamente, (una gama de -12 a + 12, 0 = cero cambio) adaptándose a las estadísticas demográficas y cumplimiento inicial. Entre 21,275 personas que viven con VIH (67,330 observaciones), la mayoría reportó ningún (48%) o bajos niveles del (39%) consumo de alcohol inicialmente, con ningún (55%) o muy pequeño (39% ≤ 3 puntos) cambio anual. la media inicial de cumplimiento fue 86% (DE 21%). La media de cambio anual fue -3.1% (DE 21%). Se observó una asociación de forma V invertida: tanto los aumentos como las disminuciones en AUDIT-C fueron asociados con mayor disminuciones de cumplimiento en comparación con resultados estables (p < 0.001, F (4, 21,274)). Personas que viven con VIH con el consumo dinámico de alcohol (potencialmente indicativo de un trastorno por consumo de alcohol) deben ser considerados por intervenciones de cumplimiento.

COVID-19 Social Distancing and Online Mutual Help Engagement for Alcohol Use Recovery.

INTRODUCTION: COVID-19 and associated social distancing has presented challenges for individuals engaging in face-to-face mutual help groups (MHGs) such as Alcoholics Anonymous for alcohol use recovery. Online MHGs may be particularly appealing to individuals with limited access or inclination to attend in-person MHGs. We examined engagement within the popular "StopDrinking" online MHG, hypothesizing that engagement would increase due to demand for virtual peer support as COVID-19 social distancing progressed. METHODS: We collected publicly available engagement data for StopDrinking from February 19, 2018 through April 30, 2020 while considering March and April of 2020 as months initially impacted by voluntary or mandated COVID-19 social distancing. Using seasonal autoregressive integrated moving average models, we predicted daily engagement for this social distancing time period based on all available engagement data collected before April 2020. Kalman filtering with 95% prediction limits was employed to define significant thresholds for observed data to reside within. RESULTS: All days of observed engagement in March and April 2020 were lower than corresponding predicted values. Observed engagement fell below the lower 95% prediction limit for 36% of days, with 15 days in March and 7 days in April having significantly lower than predicted engagement. CONCLUSIONS: Relatively low activity on StopDrinking may signal broader population trends of problematic alcohol use and recovery disengagement during the initial COVID-19 social distancing timeframe. Continued investigation of online MHGs is needed to understand their potential for monitoring population health trends and to understand how such groups might support alcohol use recovery in contexts of crisis and isolation.

Stakeholder impact on the implementation of integrated care: Opportunities to consider for patient-centered outcomes research.

Nearly half of Americans live with chronic disease. Many have multiple chronic conditions that often present as a combination of physical and mental health conditions. Aligning stakeholder-driven, patient-centered outcomes research with population health strategies such as innovative ways to deliver care management can reduce the burden of multiple chronic conditions. In addition, successfully creating meaningful, inclusive research requires actively engaging stakeholders throughout the lifecycle of a study. This study integrates stakeholder engagement, using a large health plan in western Pennsylvania, to conduct a randomized controlled trial. Three care management strategies, High-Touch, High-Tech, and Usual Care, are compared for effectiveness among members with multiple chronic conditions. Care strategies are delivered via the Community Team, a multidisciplinary community-based team, offering in-person (High-Touch) and digital (High-Tech) care management in 14 counties across Pennsylvania. Participants are followed for 12months, with repeated measurements of self-reported health status and activation in care, while tracking administrative measurements of primary and specialty health service utilization. Quality of life, care satisfaction, engagement in care, and service utilization will be compared using generalized mixed models. Additionally, semi-structured interviews are conducted for both participants and care managers over the course of the study to evaluate feasibility. This manuscript presents implementation strategies, while noting that the implementation of patient-centered outcomes research in a real-world setting requires rapid evaluation, redesign of workflow, and tailored approaches for success.