Patient and Clinician Experiences with the Implementation of Telemedicine and Related Adaptations in Office-Based Buprenorphine Treatment During the COVID-19 Pandemic: A Qualitative Study.

Background: Deaths from opioid overdose have increased dramatically in the past decade, representing an epidemic in the United States. For individuals with opioid use disorder (OUD), agonist medications such as methadone and buprenorphine reduce opioid-related morbidity and mortality. Historically, the provision of buprenorphine treatment in office-based settings has relied on frequent in-person contact, likely influencing patients' access to and retention in care. In response to the COVID-19 pandemic, providers of office-based buprenorphine treatment rapidly adapted their care processes, increasingly relying on telemedicine visits. To date, relatively few prior studies have combined patient and clinician perspectives to examine the implementation of telemedicine and related care adaptations, particularly in safety-net settings. Methods: Qualitative methods were used to explore clinician and patient experiences with telemedicine in an office-based buprenorphine treatment clinic affiliated with an urban safety-net hospital. From this clinic, we interviewed 25 patients and 16 clinicians (including prescribers and non-prescribers) to understand how telemedicine impacted treatment quality and engagement in care, as well as preferences for using telemedicine moving forward. Results: Five themes regarding the implementation of telemedicine and other COVID-19-related care adaptations arose from patient and clinician perspectives: 1) telemedicine integration precipitated openness to more flexibility in care practices, 2) concerns regarding telemedicine-related adaptations centered around safety and accountability, 3) telemedicine encounters required rapport and trust between patients and clinicians to facilitate open communication, 4) safety-net patient populations experienced unique challenges when using telemedicine, particularly in terms of the technology required and the need for privacy, and 5) there is an important role for telemedicine in office-based buprenorphine treatment moving forward, primarily through its use in hybrid models of care. Conclusions: Telemedicine implementation within office-based buprenorphine treatment has the potential to improve patients' engagement in care; however, our findings emphasize the need for tailored approaches to implementing telemedicine in office-based buprenorphine treatment, particularly within safety-net settings. Overall, this study supports the maintenance of changes to policy and practice that facilitate the use of telemedicine in office-based buprenorphine treatment beyond the COVID-19 public health emergency.

Exemplar Hospital initiation trial to Enhance Treatment Engagement (EXHIT ENTRE): protocol for CTN-0098B a randomized implementation study to support hospitals in caring for patients with opioid use disorder.

BACKGROUND: Hospitalizations involving opioid use disorder (OUD) are increasing. Medications for opioid use disorder (MOUD) reduce mortality and acute care utilization. Hospitalization is a reachable moment for initiating MOUD and arranging for ongoing MOUD engagement following hospital discharge. Despite existing quality metrics for MOUD initiation and engagement, few hospitals provide hospital based opioid treatment (HBOT). This protocol describes a cluster-randomized hybrid type-2 implementation study comparing low-intensity and high-intensity implementation support strategies to help community hospitals implement HBOT. METHODS: Four state implementation hubs with expertise in initiating HBOT programs will provide implementation support to 24 community hospitals (6 hospitals/hub) interested in starting HBOT. Community hospitals will be randomized to 24-months of either a low-intensity intervention (distribution of an HBOT best-practice manual, a lecture series based on the manual, referral to publicly available resources, and on-demand technical assistance) or a high-intensity intervention (the low-intensity intervention plus funding for a hospital HBOT champion and regular practice facilitation sessions with an expert hub). The primary efficacy outcome, adapted from the National Committee on Quality Assurance, is the proportion of patients engaged in MOUD 34-days following hospital discharge. Secondary and exploratory outcomes include acute care utilization, non-fatal overdose, death, MOUD engagement at various time points, hospital length of stay, and discharges against medical advice. Primary, secondary, and exploratory outcomes will be derived from state Medicaid data. Implementation outcomes, barriers, and facilitators are assessed via longitudinal surveys, qualitative interviews, practice facilitation contact logs, and HBOT sustainability metrics. We hypothesize that the proportion of patients receiving care at hospitals randomized to the high-intensity arm will have greater MOUD engagement following hospital discharge. DISCUSSION: Initiation of MOUD during hospitalization improves MOUD engagement post hospitalization. Few studies, however, have tested different implementation strategies on HBOT uptake, outcome, and sustainability and only one to date has tested implementation of a specific type of HBOT (addiction consultation services). This cluster-randomized study comparing different intensities of HBOT implementation support will inform hospitals and policymakers in identifying effective strategies for promoting HBOT dissemination and adoption in community hospitals. TRIAL REGISTRATION: NCT04921787.

A Fall Prevention Feasibility Trial for People With HIV and Alcohol Use.

Alcohol contributes to higher fall risk in people living with HIV (PLWH), yet fall prevention trials for PWH with alcohol use are lacking. To assess the feasibility of conducting a randomized controlled trial of a 10-week online fall prevention intervention tailored for PLWH with alcohol use. The intervention consisted of weekly virtual group discussions, individual phone check-ins, and home exercises. Of those eligible, 53.5% (23/43) enrolled (12 to the intervention and 11 to control). Mean age was 58 years; 82.6% had a past 6-month fall; 65.2% had alcohol use disorder; and 95.7% completed postintervention assessments. The intervention was highly rated (Client Satisfaction Questionnaire-8 score M = 30.4, SD = 1.6) with a wide range of group and individual phone session attendance. Preliminary analyses suggest the intervention may reduce the odds of falling and alcohol use frequency. Findings support the feasibility of a larger randomized trial. ClinicalTrials.gov Identifier: NCT04804579.

A fall prevention feasibility trial for people with HIV and alcohol useAlcohol contributes to higher fall risk in people living with HIV (PLWH), yet fall prevention studies for PLWH with alcohol use are lacking. We conducted a 10-week online fall prevention intervention for PLWH (n = 23) with recent alcohol use to assess if the intervention was feasible and acceptable for PLWH. The intervention consisted of weekly virtual group discussions and individual phone check-ins with an occupational therapist and a customized home exercise program. The mean age was 58 years. Almost all fell in the past 6 months (82.6%), had impaired physical functioning (91.3%), and had alcohol use disorder (65.2%). Participants reported high intervention satisfaction. Preliminary analyses suggest that the intervention may reduce the odds of falling and alcohol use frequency. Findings support the feasibility of an online fall prevention intervention study for PLWH.

Self-medication of pain and discomfort with alcohol and other substances by people with HIV infection and substance use disorder: preliminary findings from a secondary analysis.

There is a limited literature regarding factors associated with self-medication of pain and discomfort using alcohol, non-prescription substances or overuse of prescription medications among people living with Human Immunodeficiency Virus (HIV). This cross-sectional analysis used data from the Boston ARCH Cohort among participants with HIV infection and a history of alcohol or other substance use. Among 248 participants, 37% were female, 50% Black, 25% Latinx; 36% reported fair to poor health and 89% had CD4 cell counts >200/mm3. Half reported self-medication and of those, 8.8% reported doing so only with alcohol, 48.8% only with other substances and 42.4% with both alcohol and other substances. Those reporting self-medication were significantly (p < .05) younger (mean 47 vs 50 years), less employed (11% vs 21%), and less likely to have HIV viral suppression (60% vs. 80%). Depression, anxiety, and HIV symptoms were associated with significantly greater odds of self-medicating, as were substance dependence, recent injection substance use, heavy alcohol use, cocaine use, opioid use, sedative use, and cannabis use. Self-medication, highly prevalent and associated with worse mental health symptoms, greater substance use, and lesser HIV disease control, should be explored by HIV clinicians caring for people who use substances.

Alcohol Consumption and Illicit Drug Use: Associations With Fall, Fracture, and Acute Health Care Utilization Among People With HIV Infection.

BACKGROUND: Given alcohol and/or other drug (AOD) use occurs among people with HIV (PWH), we examined its association with falls and fall-related outcomes and whether frailty moderates the association. SETTING: Northeastern US city. METHODS: We analyzed an observational cohort of PWH with current or past AOD use. Alcohol measures were any past 14-day heavy use, average alcohol/day, and days with heavy use. Drug use measures were past 30-day illicit use of cocaine, opioids, and sedatives. Repeated cross-sectional associations were estimated with separate multivariable generalized estimating equation regression models for each fall-related outcome. RESULTS: Among PWH (n = 251; mean age 52 [SD = 10]), 35% reported heavy alcohol use, 24% cocaine, 16% illicit opioids, 13% illicit sedatives, and 35% any fall; 27% were frail. Heavy alcohol use was associated with a fall (AOR = 1.49, 95% CI: 1.08 to 2.07), multiple falls (AOR = 1.55 95% CI: 1.10 to 2.19), and fall/fracture-related emergency department visit or hospitalization (AOR = 1.81, 95% CI: 1.10 to 2.97). Higher average alcohol/day and more heavy drinking days were associated with multiple falls. Illicit sedative use was associated with a fall, multiple falls, and emergency department visit/hospitalization and opioid use with fracture. Frailty moderated the association of heavy alcohol use and a fall (AOR = 2.26, 95% CI: 1.28 to 4.01 in those frail) but not in those not frail. CONCLUSION: The effect of AOD use on falls and fall-related outcomes was most pronounced with alcohol, particularly among frail PWH. Heavy alcohol, illicit sedative, and illicit opioid use are high-priority targets for preventing falls and fall-related consequences for PWH.

Impact of alcohol use disorder severity on human immunodeficiency virus (HIV) viral suppression and CD4 count in three international cohorts of people with HIV.

BACKGROUND: Alcohol use has been linked to worse human immunodeficiency virus (HIV) immunologic/virologic outcomes, yet few studies have explored the effects of alcohol use disorder (AUD). This study assessed whether AUD severity is associated with HIV viral suppression and CD4 count in the three cohorts of the Uganda Russia Boston Alcohol Network for Alcohol Research Collaboration on HIV/AIDS (URBAN ARCH) Consortium. METHODS: People with HIV (PWH) in Uganda (n = 301), Russia (n = 400), and Boston (n = 251), selected in-part based on their alcohol use, were included in analyses. Logistic and linear regressions were used to assess the cross-sectional associations between AUD severity (number of DSM-5 diagnostic criteria) and (1) HIV viral suppression, and (2) CD4 count (cells/mm3 ) adjusting for covariates. Analyses were conducted separately by site. RESULTS: The proportion of females was 51% (Uganda), 34% (Russia), and 33% (Boston); mean age (SD) was 40.7 (9.6), 38.6 (6.3), and 52.1 (10.5), respectively. All participants in Uganda and all but 27% in Russia and 5% in Boston were on antiretroviral therapy. In Uganda, 32% met criteria for AUD, 92% in Russia, and 43% in Boston. The mean (SD) number of AUD criteria was 1.6 (2.4) in Uganda, 5.6 (3.3) in Russia, and 2.4 (3.1) in Boston. Most participants had HIV viral suppression (Uganda 92%, Russia 57%, Boston 87%); median (IQR) CD4 count was 673 (506, 866), 351 (201, 542), and 591 (387, 881), respectively. In adjusted models, there were no associations between AUD severity and HIV viral suppression: adjusted odds ratios (AOR) (95%CI) per 1 additional AUD criterion in Uganda was 1.08 (0.87, 1.33); Russia 0.98 (0.92, 1.04); and Boston 0.95 (0.84, 1.08) or CD4 count: mean difference (95%CI) per 1 additional criterion: 5.78 (-7.47, 19.03), -3.23 (-10.91, 4.44), and -8.18 (-24.72, 8.35), respectively. CONCLUSIONS: In three cohorts of PWH, AUD severity was not associated with HIV viral suppression or CD4 count. PWH with AUD in the current era of antiretroviral therapy can achieve virologic control.

Construct validity of Patient-Reported Outcomes Measurement Information System Paediatric measures in juvenile idiopathic arthritis and systemic lupus erythematosus: cross-sectional evaluation.

OBJECTIVES: Evaluate construct validity of Patient-Reported Outcomes Measurement Information System (PROMIS) Paediatric measures of symptoms and functioning against measures of disease activity among youth with juvenile idiopathic arthritis (JIA) or systemic lupus erythematosus (SLE). DESIGN: Cross-sectional associations among PROMIS measures and clinical metrics of disease activity were estimated. SETTING: Seven clinical sites of the Childhood Arthritis and Rheumatology Alliance (CARRA) in the USA. PARTICIPANTS: Youth aged 8-17 years enrolled in the CARRA Registry. INTERVENTION: PROMIS measures were collected and associations with clinical measures of disease activity estimated, by condition, in bivariate and multivariable analyses with adjustment for sociodemographics, insurance status, medications and disease duration. MAIN OUTCOME MEASURES: PROMIS Paediatric measures of mobility, physical activity, fatigue, pain interference, family relationships, peer relationships, depressive symptoms, psychological stress, anxiety, and meaning and purpose, and clinical metrics of disease. RESULTS: Among 451 youth (average age 13.8 years, 71% female), most (n=393, 87%) had a JIA diagnosis and the remainder (n=58, 13%) had SLE. Among participants with JIA, those with moderate/high compared with low/inactive disease had, on average, worse mobility (multivariable regression coefficient and 95% CIs) (-7.40; -9.30 to -5.50), fatigue (3.22; 1.02 to 5.42), pain interference (4.76; 3.04 to 6.48), peer relationships (-2.58; -4.52 to -1.64), depressive symptoms (3.00; 0.96 to 5.04), anxiety (2.48; 0.40 to 4.56) and psychological stress (2.52; 0.68 to 4.36). For SLE, youth with active versus inactive disease had on average worse mobility (-5.07; -10.15 to 0.01) but PROMIS Paediatric measures did not discriminate participants with active and inactive disease in adjusted analyses. CONCLUSIONS: Seven PROMIS Paediatric measures discriminated between active and inactive disease in youth with JIA. Results advance the usefulness of PROMIS for understanding well-being and improving interventions for youth with JIA, but larger studies are needed to determine utility in SLE cohorts. TRIAL REGISTRATION NUMBER: National Institute of Arthritis and Musculoskeletal and Skin Diseases (U19AR069522).

Study Protocol for a Pilot Randomized Trial of a Virtual Occupational Therapy Fall Prevention Intervention for People With HIV and Alcohol Use.

Background: People living with HIV (PLWH) are at risk for falls due to polypharmacy, unhealthy substance (risky alcohol and/or illicit drug) use, low physical activity, and frailty combined with typical age-related physical changes. Fall prevention is needed to reduce the morbidity related to falls and fractures, however, there is a paucity of data on the design of a fall prevention intervention and whether it can be delivered virtually. We describe the protocol of a pilot randomized trial of a virtual occupational therapy fall prevention intervention for people with HIV at high risk for falls and recent alcohol and/or drug use. Method: PLWH will be recruited from the Boston ARCH 4F Cohort study, an observational study of PLWH to examine the impact of alcohol on falls. Trial participants will be randomized to either an occupational therapy-led fall prevention intervention or provided with written education about fall prevention and alcohol use (control). The 10-week fall prevention intervention was based upon results from qualitative interviews with PLWH about falls and will consist of weekly virtual group sessions, home exercises and phone-check-ins, delivered by occupational therapists. The primary outcome measures will be number of groups attended and a participant-completed satisfaction survey. Change in number of falls, alcohol and other drug use, and physical functioning will be examined. Discussion: A virtual occupational therapy fall prevention intervention addresses the emerging concern of fall risk in PLWH and alcohol use. This pilot study will provide preliminary estimates of fall-related outcomes as well as feasibility of study procedures for a larger trial. ClinicalTrialsgov Identifier: NCT04804579. Boston University Protocol Record H-41041.

Alcohol and falls among people with HIV infection: A view from Russia and the United States.

BACKGROUND: Both human immunodeficiency virus (HIV) infection and alcohol use predispose to autonomic/sensory neuropathy, imbalance symptoms, and cognitive impairment-conditions associated with a greater risk of falls-yet it is unclear how to identify people with HIV (PWH) whose drinking is associated with falls. Research on alcohol and falls using the same instruments in different countries could help to specify the level of alcohol use associated with fall risk. We examined whether a consumption-based measure (the Alcohol Use Disorders Identification Test-Consumption [AUDIT-C]) and/or a symptom-based measure (DSM-5 criteria for alcohol use disorder [AUD]) are associated with sustaining a fall among PWH in St Petersburg, Russia and Boston, Massachusetts in the United States. METHODS: Separate multivariate logistic regressions were used for each cohort to examine cross-sectional associations for each alcohol measure predicting fall. Potential confounders included physical functioning, depressive symptoms, and other substance use (measured with the Addiction Severity Index). RESULTS: A fall was reported by 35% (87/251) of the sample in Boston and 12% (46/400) in St Petersburg. Each additional AUD criterion-but not higher AUDIT-C score-was significantly associated with a fall in both Boston (odds ratio [OR] = 1.10; 95% confidence interval [CI] 1.02, 1.18) and St Petersburg (adjusted OR AOR = 1.10; 95% CI 1.02, 1.18). Heavy alcohol use (>6 drinks/occasion, any vs. none) was associated with more than twice the odds of a fall (AOR = 2.24; 95% CI 1.21, 4.13) in Boston. CONCLUSIONS: These findings suggest that while fall risk may vary by setting and population, heavy alcohol use and AUD symptom severity are potential targets for interventions to prevent falls. Studies in diverse global settings advance our understanding of the relationship between alcohol and falls in PWH.

Cannabis and cocaine use, drinking outcomes, and quality of life in general hospital inpatients with alcohol use disorder.

Background: While associations between cannabis and cocaine use, and heavy drinking and quality of life (QOL), are well-established in the general population, it is unclear whether they are present in hospital inpatients with alcohol use disorder (AUD). The aim of the study was to assess associations between cannabis and cocaine use and two outcomes [heavy drinking days (HDDs) and QOL] among hospital inpatients with AUD. Methods: Hospitalized patients with AUD and at least one past-month HDD participated in this cross-sectional study. Cannabis and cocaine use were assessed using the Alcohol, Smoking, and Substance Involvement Screening Test. HDDs were assessed using the Timeline Followback. QOL was assessed by the WHOQOL-BREF instrument. Multivariable regression models assessed associations. Results: Of 248 participants, 225 (91%) had severe AUD. There were no statistically significant associations between: recent cannabis use and HDDs [Incidence Rate Ratio (IRR) = 0.95; 95% Confidence Interval (95% CI): 0.80, 1.14], cocaine use and HDDs [IRR = 0.88; 95% CI: 0.66, 1.18], or both cannabis and cocaine use and HDDs [IRR = 0.87; 95%CI: 0.70, 1.09], as compared to use of neither cannabis nor cocaine. Use of cannabis, cocaine, and both, were not associated with QOL [(odds ratio (OR) = 0.98; 95% CI:0.55, 1.74), (OR = 0.76; 95% CI:0.30, 1.93), (OR = 1.00; 95%CI: 0.49, 2.03), respectively]. Conclusions: Among hospital inpatients with AUD, there were no significant associations between cannabis and cocaine use, heavy drinking, or QOL. Our findings raise questions regarding how drug use affects AUD and whether similar results would be found among those with milder AUD and in prospective studies.

Psychoeducational Messaging to Reduce Alcohol Use for College Students With Type 1 Diabetes: Internet-Delivered Pilot Trial.

BACKGROUND: College environments promote high-volume or binge alcohol consumption among youth, which may be especially harmful to those with type 1 diabetes (T1D). Little is known about the acceptability and effectiveness of interventions targeting reduced alcohol use by college students with T1D, and it is unclear whether intervention framing (specifically, the narrator of intervention messages) matters with respect to affecting behavior change. Interventions promoted by peer educators may be highly relatable and socially persuasive, whereas those delivered by clinical providers may be highly credible and motivating. OBJECTIVE: The aim of this study is to determine the acceptability and impacts of an alcohol use psychoeducational intervention delivered asynchronously through web-based channels to college students with T1D. The secondary aim is to compare the impacts of two competing versions of the intervention that differed by narrator (peer vs clinician). METHODS: We recruited 138 college students (aged 17-25 years) with T1D through web-based channels and delivered a brief intervention to participants randomly assigned to 1 of 2 versions that differed only with respect to the audiovisually recorded narrator. We assessed the impacts of the exposure to the intervention overall and by group, comparing the levels of alcohol- and diabetes-related knowledge, perceptions, and use among baseline, immediately after the intervention, and 2 weeks after intervention delivery. RESULTS: Of the 138 enrolled participants, 122 (88.4%) completed all follow-up assessments; the participants were predominantly women (98/122, 80.3%), were White non-Hispanic (102/122, 83.6%), and had consumed alcohol in the past year (101/122, 82.8%). Both arms saw significant postintervention gains in the knowledge of alcohol's impacts on diabetes-related factors, health-protecting attitudes toward drinking, and concerns about drinking. All participants reported significant decreases in binge drinking 2 weeks after the intervention (21.3%; odds ratio 0.48, 95% CI 0.31-0.75) compared with the 2 weeks before the intervention (43/122, 35.2%). Changes in binge drinking after the intervention were affected by changes in concerns about alcohol use and T1D. Those who viewed the provider narrator were significantly more likely to rate their narrator as knowledgeable and trustworthy; there were no other significant differences in intervention effects by the narrator. CONCLUSIONS: The intervention model was highly acceptable and effective at reducing self-reported binge drinking at follow-up, offering the potential for broad dissemination and reach given the web-based format and contactless, on-demand content. Both intervention narrators increased knowledge, improved health-protecting attitudes, and increased concerns regarding alcohol use. The participants' perceptions of expertise and credibility differed by narrator. TRIAL REGISTRATION: ClinicalTrials.gov NCT02883829; https://clinicaltrials.gov/ct2/show/NCT02883829. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1177/1932296819839503.

Sensitivity and specificity of S2BI for identifying alcohol and cannabis use disorders among adolescents presenting for primary care.

BACKGROUND: The Screening to Brief Intervention (S2BI) tool was designed to identify substance use disorders in adolescents. We report the S2BI's sensitivity and specificity for identifying alcohol and cannabis use disorders (AUD and CUD) in adolescents presenting for primary care. Methods: Participants aged 14-18 (N = 517) completed an electronic survey, consisting of the S2BI, the Composite International Diagnostic Interview (CIDI), and anxiety and depression screens. We calculated sensitivity, specificity, and positive and negative predictive value (PPV, NPV) of the S2BI compared to the CIDI criterion standard, using past year "monthly" and "weekly or more" consumption of alcohol or marijuana as a threshold for AUD or CUD. Results: Current AUD and CUD were present in 2.9% and 8.3% of the sample, respectively and severe AUD and CUD were present in 0.8% and 3.9%. The S2BI had 53.3% sensitivity and 94.2% specificity for identifying any AUD (PPV = 21.6%; NPV = 98.5%), and 81.4% sensitivity and 92.0% specificity for identifying any CUD (PPV = 47.9%; NPV = 98.2%). The same threshold had 100% sensitivity and 93.6% specificity for identifying moderate/severe AUD, and 90.0% sensitivity and 89.0% specificity for identifying moderate/severe CUD. Conclusions: S2BI had excellent sensitivity and specificity for identifying moderate and severe AUD and CUD. Sensitivity decreased when mild AUD and CUD were included.

Alcohol Use Behaviors and Reasons to Abstain From or Limit Drinking Among Medically Vulnerable Youth.

BACKGROUND: Youth with chronic medical conditions (YCMC) use alcohol at levels similar to their healthy peers but face elevated risk for adverse health consequences. As salient reasons to abstain from or limit drinking (RALD) among YCMC are unknown, we sought to identify clusters of RALD and test associations with use behaviors. METHODS: Eligible YCMC (ages 9-18) recruited from outpatient clinics reported their use behaviors and importance of potential RALD. Cluster analysis was used to discern RALD patterns, which were examined as predictors of alcohol use using multivariate regression. RESULTS: Among 398 participants, 30.9% reported past year alcohol use. Concerns about impacts on medications, school, and disease status were the most frequently endorsed RALD; prior negative experiences with alcohol and family history were the least frequently endorsed. Five RALD clusters were identified for all YCMC and 2 for recent drinkers. Compared to the cluster with high endorsement of multiple general and health-related RALD, those predominantly citing concerns about addiction and those not strongly endorsing any RALD consistently reported greater alcohol use. Among recent drinkers, the cluster characterized by low concern across multiple RALD also consistently reported greater alcohol use compared to their counterparts expressing moderate concern. CONCLUSIONS: For YCMC, RALD are complex but endorsement of multiple general and health-related RALD is associated with less use, and health concerns are especially prevalent. More research is needed to understand how salient RALD can inform tailored interventions that aim to delay and reduce substance use and improve health outcomes for YCMC.

Online Searching and Social Media to Detect Alcohol Use Risk at Population Scale.

INTRODUCTION: Harnessing engagement in online searching and social media may provide complementary information for monitoring alcohol use, informing prevention and policy evaluation, and extending knowledge available from national surveys. METHODS: Relative search volumes for 7 alcohol-related keywords were estimated from Google Trends (data, 2014-2017), and the proportion of alcohol use-related Twitter posts (data, 2014-2015) was estimated using natural language processing. Searching/posting measures were created for all 50 U.S. states plus Washington, D.C. Survey reports of alcohol use and summaries of state alcohol policies were obtained from the Behavioral Risk Factor Surveillance System (data, 2014-2016) and the Alcohol Policy Scale. In 2018-2019, associations among searching/posting measures and same state/year Behavioral Risk Factor Surveillance System reports of recent (past-30-day) alcohol use and maximum number of drinks consumed on an occasion were estimated using logistic and linear regression, adjusting for sociodemographics and Internet use, with moderation tested in regressions that included interactions of select searching/posting measures and the Alcohol Policy Scale. RESULTS: Recent alcohol use was reported by 52.93% of 1,297,168 Behavioral Risk Factor Surveillance System respondents, which was associated with all state-level searching/posting measures in unadjusted and adjusted models (p<0.0001). Among drinkers, most searching/posting measures were associated with maximum number of drinks consumed (p<0.0001). Associations varied with exposure to high versus low levels of state policy controls on alcohol. CONCLUSIONS: Strong associations were found among individual alcohol use and state-level alcohol-related searching/posting measures, which were moderated by the strength of state alcohol policies. Findings support using novel personally generated data to monitor alcohol use and possibly evaluate effects of alcohol control policies.

Clinical Trial Recruitment and Retention of College Students with Type 1 Diabetes via Social Media: An Implementation Case Study.

BACKGROUND: We sought to quantify the efficiency and acceptability of Internet-based recruitment for engaging an especially hard-to-reach cohort (college-students with type 1 diabetes, T1D) and to describe the approach used for implementing a health-related trial entirely online using off-the-shelf tools inclusive of participant safety and validity concerns. METHOD: We recruited youth (ages 17-25 years) with T1D via a variety of social media platforms and other outreach channels. We quantified response rate and participant characteristics across channels with engagement metrics tracked via Google Analytics and participant survey data. We developed decision rules to identify invalid (duplicative/false) records (N = 89) and compared them to valid cases (N = 138). RESULTS: Facebook was the highest yield recruitment source; demographics differed by platform. Invalid records were prevalent; invalid records were more likely to be recruited from Twitter or Instagram and differed from valid cases across most demographics. Valid cases closely resembled characteristics obtained from Google Analytics and from prior data on platform user-base. Retention was high, with complete follow-up for 88.4%. There were no safety concerns and participants reported high acceptability for future recruitment via social media. CONCLUSIONS: We demonstrate that recruitment of college students with T1D into a longitudinal intervention trial via social media is feasible, efficient, acceptable, and yields a sample representative of the user-base from which they were drawn. Given observed differences in characteristics across recruitment channels, recruiting across multiple platforms is recommended to optimize sample diversity. Trial implementation, engagement tracking, and retention are feasible with off-the-shelf tools using preexisting platforms.

How Returning Aggregate Research Results Impacts Interest in Research Engagement and Planned Actions Relevant to Health Care Decision Making: Cohort Study.

BACKGROUND: Collection of patient-reported outcomes measures (PROs) may augment clinical data and inform health research, improving care, yet approaches to sustaining interest among patient cohorts in research participation are needed. One approach may involve returning aggregate research results (ARRs), which may help patients contextualize personal experiences, prompt conversations with providers or family, and encourage information seeking. This model has been demonstrated for Web-based patient-centered registries. Studies with clinical cohorts may further elucidate the model, its impacts on interest in research participation and planned actions, and potential for participants to experience this as helpful or harmful-gap areas. OBJECTIVE: We sought to investigate the impacts of returning ARRs comprising summaries of PROs and clinical metrics to parents of children with rheumatic disease, assessing interest in future research participation among parents who viewed ARRs and plans for acting on returned information. Further, we sought to investigate reactions to viewing ARRs and how these reactions impacted planned actions. METHODS: Clinical and PRO data were obtained about children in a national clinical disease registry, summarized, and processed into annotated infographics, comprising ARRs for children's parents. Parents who viewed ARRs (n=111) were surveyed about the information's perceived value and their reactions. Reaction patterns were summarized using principal components analysis (PCA), and associations among reaction patterns and interest in research participation and planned actions were estimated using multivariate logistic regression. RESULTS: Parental endorsement of the value of ARRs for understanding their child's condition and making care decisions was high (across 10 topics for which ARRs were shared, 42.2%-77.3% of the parents reported information was "very valuable"). Most (58/111, 52.3%) parents reported being more interested in participating in research after viewing ARRs, with the remainder reporting that their interest levels were unchanged. Reactions to viewing ARRs reflected experiencing validation/affirmation and information burden based on PCA. Reactions were not associated with child demographic or clinical characteristics and PROs, except that parents from households with less education reported greater information burden than those from more educated households (P=.007). In adjusted models, parents with higher validation/affirmation scores had increased odds of reporting heightened interest in research participation (adjusted odds ratio [AOR] 1.97, 95% CI 1.18-3.30), while higher information burden scores were associated with decreased odds of planned discussions with their child (AOR 0.59, 95% CI 0.36-0.95) and increased odds of planned discussions with providers (AOR 1.75, 95% CI 1.02-3.00). CONCLUSIONS: Returning ARRs may foster a "virtuous cycle" of research engagement, especially where ARRs are experienced favorably and affect plans to share and discuss ARRs in support of a child's chronic disease care and treatment. Reactions to ARRs vary with education level, underscoring the need for attention to equity for this model.

Alcohol Use and Alcohol-Interactive Medications Among Medically Vulnerable Youth.

BACKGROUND AND OBJECTIVES: Despite their medical vulnerability, youth with chronic medical conditions (YCMCs) drink at levels commensurate with healthy youth. However, information about the prevalence of alcohol use among YCMCs who take alcohol-interactive (AI) medications is scant. To address gaps and inform interventions, we quantified simultaneous exposure to alcohol use and AI medications among YCMCs, hypothesizing that AI exposure would be associated with lower alcohol consumption and mediated by perceptions of alcohol-medication interference. METHODS: Adolescents with type 1 diabetes, juvenile idiopathic arthritis, moderate persistent asthma, cystic fibrosis, attention-deficit/hyperactivity disorder, or inflammatory bowel disease completed an electronic survey. We measured the prevalence of exposure to AI medications and the associations with past-year alcohol use as well as binge drinking and total consumption volume in the past 3 months using multivariate regression to estimate the odds of alcohol use given AI medication exposure and perceptions of interference. RESULTS: Of 396 youth, 86.4% were on AI medications, of whom, 35.4% reported past-year alcohol use (46.3% among those who were not on AI medications). AI medication use was associated with 43% lower odds of past-year alcohol use (adjusted odds ratio: 0.57; 95% confidence interval: 0.39-0.85) and lower total consumption (ß = -.43; SE = 0.11; P < .001). Perceptions of alcohol-medication interference partially mediated the relationship between AI medication exposure and past-year alcohol use (Sobel test P = .05). CONCLUSIONS: Many YCMCs reported using alcohol; however, drinking was less likely among those who were taking AI medications. Perceptions about alcohol-medication interference mediated the association between drinking and AI medication exposure, suggesting the potential salience of interventions that emphasize alcohol-related risks.

Adding patient-reported outcomes to a multisite registry to quantify quality of life and experiences of disease and treatment for youth with juvenile idiopathic arthritis.

BACKGROUND: Children with Juvenile Idiopathic Arthritis (JIA) often have poor health-related quality of life (HRQOL) despite advances in treatment. Patient-centered research may shed light on how patient experiences of treatment and disease contribute to HRQOL, pinpointing directions for improving care and enhancing outcomes. METHODS: Parent proxies of youth enrolled in the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry shared patient-reported outcomes about their child's HRQOL and experiences of disease and treatment burden (pain interference, morning stiffness, history of medication side effects and methotrexate intolerance). Contributions of these measures to HRQOL were estimated using generalized estimating equations accounting for site and patient demographics. RESULTS: Patients (N = 180) were 81.1% white non-Hispanic and 76.7% female. Mean age was 11.8 (SD = 3.6) years, mean disease duration was 7.7 years (SD = 3.5). Mean Total Pediatric Quality of Life was 76.7 (SD = 18.2). Mean pain interference score was 50.1 (SD = 11.1). Nearly one-in-five (17.8%) youth experienced >15 min of morning stiffness on a typical day, more than one quarter (26.7%) reported ≥1 serious medication side effect and among 90 methotrexate users, 42.2% met criteria for methotrexate intolerance. Measures of disease and treatment burden were independently negatively associated with HRQOL (all p-values <0.01). Negative associations among measures of treatment burden and HRQOL were attenuated after controlling for disease burden and clinical characteristics but remained significant. CONCLUSIONS: For youth with JIA, HRQOL is multidimensional, reflecting disease as well as treatment factors. Adverse treatment experiences undermine HRQOL even after accounting for disease symptoms and disease activity and should be assessed routinely to improve wellbeing.