Search

BACKGROUND: Influenza vaccination is recommended for adults regardless of human immunodeficiency virus (HIV) status. There may be facilitators or barriers to vaccinating people with HIV (PWH) that differ from people without HIV (PWoH). We sought to describe the uptake of influenza vaccination by HIV status and identify factors associated with vaccination. METHODS: We abstracted data from the electronic health records of PWH and PWoH in Kaiser Permanente Northern California during 6 influenza seasons (2013-2018). We determined vaccination uptake and used Poisson regression models to evaluate factors associated with vaccination in PWH and PWoH. RESULTS: 9272 PWH and 194 393 PWoH matched by age, sex, and race/ethnicity were included (mean age: 48 vs 49 years; men: 91% vs 90%; White race: 53% for both groups). PWH were more likely to receive the influenza vaccine (65-69% across years for PWH and 37-41% for PWoH) with an adjusted risk ratio for all years of 1.48 (95% CI: 1.46-1.50). For PWH, lower vaccination uptake was associated with several factors that suggested more complex health needs, such as lower CD4 cell counts, higher HIV viral loads, prior depression diagnoses, having Medicare insurance, and having a higher number of comorbidities. Associations with vaccination uptake were attenuated in PWH, compared with PWoH, for smoking, alcohol, and demographic factors. CONCLUSIONS: PWH had an almost 50% higher uptake of influenza vaccination than PWoH, possibly reflecting greater engagement with the healthcare system. We also found that PWH with more complex health needs had reduced vaccination uptake. Findings may inform outreach strategies to increase influenza vaccination in PWH.

Adverse childhood experiences (ACEs) are common and increase the risk of poor health outcomes. Resilience may offer protection against the impacts of ACEs. This study examined the association between maternal ACEs and mental/behavioral health outcomes during pregnancy overall and by resilience. The sample comprised pregnant patients in two pilot studies screened for eight ACEs and resilience during standard prenatal care in Kaiser Permanente Northern California from 1 March 2016 to 30 July 2016 (Study 1, medical centers A, B) and from 1 April 2018 to 31 March 2019 (Study 2, medical centers A, C). Early pregnancy outcomes included anxiety and depressive disorders, depression symptoms, intimate partner violence (IPV), and substance use. Multivariable logistic regression was used in this cross-sectional study to examine associations between maternal ACEs (0, 1-2, ≥3) and mental/behavioral health outcomes overall and among those with low and high resilience. Patients (n = 1084) averaged 30.8 years (SD 5.1); 41.7% were non-Hispanic White; 41.7% experienced ≥1 ACE, and 40.3% had low resilience. Patients with 1-2 ACEs or ≥3 ACEs (versus 0 ACEs) had higher odds of anxiety and depressive disorders, depressive symptoms, IPV, and any prenatal substance use (OR 1.44-4.40, p < 0.05). Each individual ACE was associated with ≥2 mental/behavioral health outcomes. In stratified analyses, having ≥1 ACE (vs. 0) was associated with a greater number of mental/behavioral health outcomes among patients with low versus high resilience. ACEs were associated with prenatal mental/behavioral health conditions, particularly in the context of low resilience, highlighting the importance of trauma-informed prenatal care and the need to study resilience-building interventions during pregnancy.

BACKGROUND: Alcohol use problems are associated with serious medical, mental health and socio-economic consequences. Yet even when patients are identified in healthcare settings, most do not receive treatment, and use of pharmacotherapy is rare. This study will test the effectiveness of the Alcohol Telemedicine Consult (ATC) Service, a novel, personalized telehealth intervention approach for primary care patients with alcohol use problems. METHODS: This cluster-randomized pragmatic trial, supplemented by qualitative interviews, will include adults with a primary care visit between 9/10/21-3/10/23 from 16 primary care clinics at two large urban medical centers within Kaiser Permanente Northern California, a large, integrated healthcare system. Clinics are randomized to the ATC Service (intervention), including alcohol pharmacotherapy and SBIRT (screening, MI (Motivational Interviewing)-based brief intervention and referral to addiction treatment) delivered by clinical pharmacists, or the Usual Care (UC) arm that provides systematic alcohol SBIRT. Primary outcomes include a comparison of the ATC and UC arms on 1) implementation outcomes (alcohol pharmacotherapy prescription rates, specialty addiction treatment referrals); and 2) patient outcomes (medication fills, addiction treatment initiation, alcohol use, healthcare services utilization) over 1.5 years. A general modeling approach will consider clustering of patients/providers, and a random effects model will account for intra-class correlations across patients within providers and across clinics. Qualitative interviews with providers will examine barriers and facilitators to implementation. DISCUSSION: The ATC study examines the effectiveness of a pharmacist-provided telehealth intervention that combines pharmacotherapy and MI-based consultation. If effective, the ATC study could affect treatment models across the spectrum of alcohol use problems. CLINICAL TRIALS REGISTRATION: This study has been registered on ClinicalTrials.gov (NCT05252221).

BACKGROUND: The combination of unhealthy alcohol use and depression is associated with adverse outcomes including higher rates of alcohol use disorder and poorer depression course. Therefore, addressing alcohol use among individuals with depression may have a substantial public health impact. We compared the effectiveness of a brief intervention (BI) for unhealthy alcohol use among patients with and without depression. METHOD: This observational study included 312,056 adult primary care patients at Kaiser Permanente Northern California who screened positive for unhealthy drinking between 2014 and 2017. Approximately half (48%) received a BI for alcohol use and 9% had depression. We examined 12-month changes in heavy drinking days in the previous three months, drinking days per week, drinks per drinking day, and drinks per week. Machine learning was used to estimate BI propensity, follow-up participation, and alcohol outcomes for an augmented inverse probability weighting (AIPW) estimator of the average treatment (BI) effect. This approach does not depend on the strong parametric assumptions of traditional logistic regression, making it more robust to model misspecification. RESULTS: BI had a significant effect on each alcohol use outcome in the non-depressed subgroup (-0.41 to -0.05, all ps  .28). However, differences between subgroups were nonsignificant (0.00 to 0.11, all ps > .44). CONCLUSION: On average, BI is an effective approach to reducing unhealthy drinking, but more research is necessary to understand its impact on patients with depression. AIPW with machine learning provides a robust method for comparing intervention effectiveness across subgroups.

OBJECTIVE: Motivational interviewing (MI) is a promising intervention for helping patients with mental health problems reduce their substance use. Examining the cost-effectiveness of MI and associations between MI and the use of health services can inform appropriate intervention strategies for these patients. METHOD: Kaiser Permanente adult patients with depression symptoms (Patient Health Questionnaire [PHQ-9] score > 5) seen in outpatient psychiatry (N = 302) who reported unhealthy alcohol use or other substance use (primarily cannabis) were randomized to three sessions of MI (intervention) or printed literature (control) with telephone follow-up interviews at 6 and 12 months. Cost-effectiveness analyses compared intervention costs associated with 30-day abstinence from unhealthy alcohol use (i.e., any days of ≥4/≥5 drinks for women/men) and cannabis use. Multivariable analyses examined associations between MI and healthcare utilization at 12 months (emergency department, primary care, psychiatry, and addiction treatment). RESULTS: MI resulted in greater likelihood of abstaining from unhealthy alcohol use (70.0% vs. 60.2%, p < .01) and cannabis use (74.6% vs. 63.9%, p < .01) than the control at 6 months, but outcomes did not differ at 12 months. The 6-month incremental cost-effectiveness ratios were $1,207-$1,523 per abstinent patient for unhealthy drinking and $1,040-$1,313 per abstinent patient for cannabis. There were no differences between groups on health service utilization. CONCLUSIONS: MI cost more than the control condition but yielded better outcomes at 6 months; MI had no relationship to health service utilization. Findings can inform implementation of substance use interventions through understanding MIs potential clinical and cost impact and its relationship to health services use.

BACKGROUND: Alcohol screening, brief intervention and referral to treatment (SBIRT) in adult primary care is an evidence-based, public health strategy to address unhealthy alcohol use, but evidence of effectiveness of alcohol brief intervention (ABI) in real-world implementation is lacking. METHODS: We fit marginal structural models with inverse probability weighting to estimate the causal effects of ABI on 12-month drinking outcomes using longitudinal electronic health records data for 312,056 adults with a positive screening result for unhealthy drinking between 2014 and 2017 in a large healthcare system that implemented systematic primary care-based SBIRT. We examined effects of ABI with and without adjusting for receipt of specialty alcohol use disorder (AUD) treatment, and whether effects varied by patient demographic characteristics and alcohol use patterns. RESULTS: Receiving ABI resulted in significantly greater reductions in heavy drinking days (mean difference [95% CI] = -0.26 [-0.45, -0.08]), drinking days per week (-0.04 [-0.07, -0.01]), drinks per drinking day (-0.05 [-0.08, -0.02]) and drinks per week (-0.16 [-0.27, -0.04]). Effects of ABI on 12-month drinking outcomes varied by baseline consumption level, age group and whether patients already had an AUD, with better improvement in those who were drinking at levels exceeding only daily limits, younger, and without an AUD. CONCLUSIONS: Systematic ABI in adult primary care has the potential to reduce drinking among people with unhealthy drinking considerably on both an individual and population level. More research is needed to help optimize ABI, in particular tailoring it to diverse sub-populations, and studying its long-term public health impact.

AIMS: To identify factors asociated with early and sustained cessation of heavy drinking. DESIGN: Retrospective cohort study over 5 years. SETTING: Kaiser Permanente Northern California, United States. PARTICIPANTS: Adults reporting heavy drinking during primary care-based alcohol screening between 1 June 2013 and 31 May 2014. The sample (n = 85 434) was 40.7% female and 33.8% non-white; mean age was 50.3 years (standard deviation = 18.1). MEASUREMENTS: Following US guidelines, early and sustained cessation of heavy drinking was defined as reporting lower-risk drinking or abstinence at 1 year and to 5 years after achieving early cessation, respectively. Associations between patient characteristics and service use and cessation outcomes were examined using logistic regression with inverse probability weights addressing attrition. FINDINGS: Nearly two-thirds of participants achieved early cessation of heavy drinking. Women [odds ratio (OR) = 1.39, 95% confidence interval (CI) = 1.35, 1.44], middle-age (35-64 years: ORs = 1.16-1.19), non-white race/ethnicity (ORs = 1.03-1.57), medical conditions (OR = 1.05, 95% CI = 1.04, 1.06), psychiatric (OR = 1.10, 95% CI = 1.06, 1.15) and drug use disorders (OR = 1.35, 95% CI = 1.17, 1.56) and addiction treatment (OR = 1.19, 95% CI = 1.09, 1.30) were associated with higher odds of early cessation, while older age (≥ 65 years: OR = 0.91, 95% CI = 0.86, 0.96), smoking (OR = 0.81, 95% CI = 0.77, 0.84), higher index drinking levels (exceeding both daily and weekly limits: OR = 0.30, 95% CI = 0.29, 0.32) and psychiatric treatment (OR = 0.91, 95% CI = 0.84, 0.99) were associated with lower odds. Among those who achieved early cessation (n = 19 200), 60.0% sustained cessation. Associations between patient factors and sustained cessation paralleled those observed in analyses of early cessation. Additionally, routine primary care (OR = 1.57, 95% CI = 1.44, 1.71) and addiction treatment post-1 year (OR = 1.41, 95% CI = 1.19, 1.66) were associated with higher odds of sustained cessation. Lower-risk drinking versus abstinence at 1 year was associated with lower odds of sustained cessation (OR = 0.62, 95% CI = 0.57, 0.66). CONCLUSIONS: Nearly two-thirds of a large, diverse sample of patients who reported heavy drinking in a Californian health-care system achieved early and sustained cessation of heavy drinking. Vulnerable subgroups (i.e. non-white patients and those with psychiatric disorders), patients who received routine primary care and those who received addiction treatment were more likely to sustain cessation of heavy drinking than other participants.

BackgroundAlcohol use disorders (AUD) can lead to poor health outcomes. Little is known about AUD treatment among persons with HIV (PWH). In an integrated health system in Northern California, 2014-2017, we compared AUD treatment rates between PWH with AUD and persons without HIV (PWoH) with AUD.MethodsUsing Poisson regression with GEE, we estimated prevalence ratios (PRs) comparing the annual probability of receiving AUD treatment (behavioral intervention or dispensed medication), adjusted for sociodemographics, psychiatric comorbidities, insurance type, and calendar year. Among PWH, we examined independent AUD treatment predictors using PRs adjusted for calendar year only.ResultsPWH with AUD (N = 633; 93% men, median age 49) were likelier than PWoH with AUD (N = 7006; 95% men, median age 52) to have depression (38% vs. 21%) and a non-alcohol substance use disorder (SUD, 48% vs. 25%) (both P

Background: The coronavirus disease 2019 (COVID-19) pandemic resulted in widespread psychosocial disruption, which may impact suicidal thoughts and behaviours. This study characterizes adult suicide-related emergency department (ED) encounters and patient characteristics during the COVID-19 pandemic in 2020 compared to the year prior. Methods: Retrospective cross-sectional study in a large, integrated, community-based health system of adults (≥18-years-old) with suicide-related ED encounters (defined by the Centres for Disease Control-recommended International Statistical Classification of Diseases [ICD-10-CM] codes) during the COVID-19 pandemic compared to the same period in 2019. Population-level incidence rate ratios (IRRs) compared suicide-related ED encounters in 2020 to 2019. Patient characteristics for the first suicide-related ED visit for each period were used to calculate percent relative change comparing 2020 to 2019. Findings: Of 10,651 suicide-related ED encounters in 2020 and 11,476 in 2019, 49.6% and 51.6% were for females and the mean age was 38±17 and 38±16 years-old, respectively. Suicide-related ED encounters significantly declined in each month of 2020 (IRR 0.71-0.91, p

BACKGROUND: Unhealthy alcohol use is a serious and costly public health problem. Alcohol screening and brief interventions are effective in reducing unhealthy alcohol consumption. However, rates of receipt and delivery of brief interventions vary significantly across healthcare settings, and relatively little is known about the associated patient and provider factors. METHODS: This study examines patient and provider factors associated with the receipt of brief interventions for unhealthy alcohol use in an integrated healthcare system, based on documented brief interventions in the electronic health record. Using multilevel logistic regression models, we retrospectively analyzed 287,551 adult primary care patients (and their 2952 providers) who screened positive for unhealthy drinking between 2014 and 2017. RESULTS: We found lower odds of receiving a brief intervention among patients exceeding daily or weekly drinking limits (vs. exceeding both limits), females, older age groups, those with higher medical complexity, and those already diagnosed with alcohol use disorders. Patients with other unhealthy lifestyle activities (e.g., smoking, no/insufficient exercise) were more likely to receive a brief intervention. We also found that female providers and those with longer tenure in the health system were more likely to deliver brief interventions. CONCLUSIONS: These findings point to characteristics that can be targeted to improve universal receipt of brief intervention.

Embedded pragmatic clinical trials (ePCTs) and quality improvement (QI) activities often occur simultaneously within healthcare systems (HCSs). Embedded PCTs within HCSs are conducted to test interventions and provide evidence that may impact public health, health system operations, and quality of care. They are larger and more broadly generalizable than QI initiatives, and may generate what is considered high-quality evidence for potential use in care and clinical practice guidelines. QI initiatives often co-occur with ePCTs and address the same high-impact health questions, and this co-occurrence may dilute or confound the ability to detect change as a result of the ePCT intervention. During the design, pilot, and conduct phases of the large-scale NIH Collaboratory Demonstration ePCTs, many QI initiatives occurred at the same time within the HCSs. Although the challenges varied across the projects, some common, generalizable strategies and solutions emerged, and we share these as case studies. KEY LESSONS: Study teams often need to monitor, adapt, and respond to QI during design and the course of the trial. Routine collaboration between ePCT researchers and health systems stakeholders throughout the trial can help ensure research and QI are optimally aligned to support high-quality patient-centered care.

This study examined nicotine and cannabis vaping among adolescents in treatment for substance use disorders. Participants were 363 adolescents aged 12-17 (66% male, mean age = 15.5 [SD = 1.3], 46% non-Hispanic white) seen for a specialty addiction intake evaluation between 2017 and 2019 at one of six medical offices of a large, integrated health care system in Northern California. Multivariable logistic regression models tested for associations of sociodemographics, cigarette smoking, and substance use disorders with vaping behaviors. A majority of adolescents reported ever (68%) or current vaping (60%) of nicotine and/or cannabis; current vaping was similar for nicotine (50%) and cannabis (51%); 40% reported current vaping of both. Current smokers (6% of the sample) had higher odds of ever vaping (aOR = 3.95, 95%CI: 1.04-14.95). Black (versus non-Hispanic white) adolescents had lower odds of current nicotine vaping (aOR = 0.08, 95%CI: 0.02-0.37) and current vaping of both nicotine and cannabis (aOR = 0.12, 95%CI: 0.03-0.60). Having an alcohol use disorder was associated with current vaping (aOR = 2.14, 95%CI: 1.06-4.33). Those who endorsed that most friends get drunk/high (aOR = 1.87, 95%CI: 1.02-3.42) or that cannabis was their substance of choice (aOR = 2.36, 95%CI: 1.16-4.81) had higher odds of current cannabis vaping. Higher neighborhood household income ($80,000-$120,000 and >$120,000 vs.

IntroductionSmoking tobacco and unhealthy alcohol use may negatively influence HIV care continuum outcomes but have not been examined in combination.MethodsParticipants were people with HIV (PWH) in Kaiser Permanente Northern California. Predictors included smoking status and unhealthy alcohol use (exceeding daily and/or weekly limits) reported by patients during primary care screening (index date). Outcomes were based on not achieving the following steps in the care continuum: linkage to HIV care (≥1 visit within 90 days of newly identified HIV diagnosis), retention (2+ in-person visits, 60+ days apart) and HIV RNA control (

This study examined the demographic and clinical correlates of HIV stigma and evaluated how HIV stigma was associated with physical and mental health outcomes one year later in a primary-care based cohort of persons living with HIV (PLHIV; N = 584). HIV stigma was measured using a modified Berger HIV stigma scale, which includes four subscales: (1) personalized stigma; (2) disclosure concerns; (3) negative self-image; and (4) concerns around public attitudes towards PLHIV. Physical and mental health were assessed using the 12-item short form survey (SF-12). Compared to whites, African Americans were more likely to have higher personalized stigma scores (adjusted prevalence ratio [aPR] 1.54 [95% confidence interval 1.10-2.15]), disclosure concerns (aPR 1.40 [1.03-1.92]), and concerns with public attitudes about PLHIV (aPR 1.61 [1.11-2.34]). Hispanic/Latinx participants were more likely to have concerns around public attitudes towards PLHIV (aPR 1.50 [1.11-2.02]) than whites. Compared to men, women were more likely to have higher negative self-image scores (aPR 1.50 [1.08-2.08]). Higher stigma scores were associated with poorer subsequent self-reported physical and mental health functional status. Our findings highlight the substantial need for addressing HIV stigma, particularly among minority subgroups.

BACKGROUND AND AIMS: Unhealthy drinking is a leading threat to health, yet few people with alcohol use disorder (AUD) receive treatment. This pilot tested the feasibility of addiction medicine video consultations in primary care for improving AUD medication adoption and specialty treatment initiation. METHODS: Primary care providers (PCPs) received training and access to on-call addiction medicine consultations. Feasibility measures were training attendance, intention to use the service and/or AUD pharmacotherapy, and user feedback. Secondary outcomes were utilization, prescription and treatment initiation rates, and case reports. χ2 tests were used to compare prescription and treatment initiation rates for consult recipients and non-recipients. RESULTS: Ninety-one PCPs (71.1%) attended a training, and 60 (65.9%) provided feedback. Of those, 37 (64.9%) mentioned pharmacotherapy and 41 (71.9%) intended to use the video consult service. Of 27 users, 19 provided feedback; 12 (63.1%) rated its value at 8 or above, on a scale of 1 to 10 (average 6.9). The most useful aspect was immediacy, and users wanted an easier workflow and increased consultant availability. Of 32 patients who received a consult, 11 (34.4%) were prescribed naltrexone, versus 43 (6.4%) of non-recipients (P

BACKGROUND: Unhealthy alcohol use among persons living with HIV (PLWH) is linked to significant morbidity, and use of alcohol services may differ by HIV status. Our objective was to compare unhealthy alcohol use screening and treatment by HIV status in primary care. METHODS: Cohort study of adult (≥18 years) PLWH and HIV-uninfected participants frequency matched 20:1 to PLWH by age, sex, and race/ethnicity who were enrolled in a large integrated healthcare system in the United States, with information ascertained from an electronic health record. Outcomes included unhealthy alcohol screening, prevalence, provider-delivered brief interventions, and addiction specialty care visits. Other predictors included age, sex, race/ethnicity, neighborhood deprivation index, depression, smoking, substance use disorders, Charlson comorbidity index, prior outpatient visits, insurance type, and medical facility. Cox proportional hazards models were used to compute hazard ratios (HR) for the outcomes of time to unhealthy alcohol use screening and time to first addiction specialty visit. Poisson regression with robust standard errors was used to compute prevalence ratios (PR) for other outcomes. RESULTS: 11,235 PLWH and 227,320 HIV-uninfected participants were included. By 4.5 years after baseline, most participants were screened for unhealthy alcohol use (85% of PLWH and 93% of HIV-uninfected), but with a lower rate among PLWH (adjusted HR 0.84, 95% CI 0.82 to 0.85). PLWH were less likely, compared with HIV-uninfected participants, to report unhealthy drinking among those screened (adjusted PR 0.74, 95% CI 0.69 to 0.79), and among those who screened positive, less likely to receive brief interventions (adjusted PR 0.82, 95% CI 0.75 to 0.90), but more likely (adjusted HR 1.7, 95% CI 1.2 to 2.4) to have an addiction specialty visit within 1 year. CONCLUSIONS: Unhealthy alcohol use was lower in PLWH, but the treatment approach by HIV status differed. PLWH reporting unhealthy alcohol use received less brief interventions and more addiction specialty care than HIV-uninfected participants.

: The COVID-19 pandemic is likely to exacerbate existing anxiety and substance use disorders (SUDs) and increase vulnerability among individuals previously free of these conditions. Numerous pandemic-related stressors-coronavirus infection fears, social distancing and isolation, activity restrictions, financial insecurity and unemployment, caregiving or childcare responsibilities-place a substantial burden both on the general population and on many health care providers. Anxiety symptoms such as worry, tension, irritability, difficulty concentrating, and sleep disruption are increasingly prevalent. For individuals in SUD treatment, anxiety can complicate efforts to achieve treatment goals. In this commentary, we outline the potential impact of anxiety on substance use problems during the COVID-19 crisis and describe key behavioral, pharmacological, and digital health treatment considerations. We highlight populations of special concern due to heightened vulnerability and challenges accessing services, strategies to support health care providers, and directions for future research.

BACKGROUND: Persons with HIV (PWH) are more likely to smoke and are more susceptible to the harmful effects of smoking than persons without HIV. We examined smoking patterns and use of cessation treatment among PWH and persons without HIV in a U.S. integrated health system. METHODS: We identified adults (≥18 years) with HIV and demographically-matched persons without HIV between July 2013 and December 2017. Smoking status and cessation treatment were ascertained from health records. We calculated age-standardized annual prevalence of smoking and evaluated trends using Cochran-Armitage tests and Poisson regression. Factors associated with cessation treatment during the study period, and smoking in the last year of the study, were evaluated by HIV status using multivariable Poisson models. RESULTS: The study included 11,235 PWH and 227,320 persons without HIV. Smoking prevalence was higher among PWH across all years but declined for both groups (from 16.6% to 14.6% in PWH and 11.6% to 10.5% in persons without HIV). Among smokers, PWH were more likely to initiate cessation treatment compared to persons without HIV (17.9% vs. 13.3%, covariate-adjusted prevalence ratio of 1.31, 95% CI = 1.15-1.50), with few differences in cessation treatment across subgroups of PWH. In 2017, smoking prevalence remained higher in PWH, especially among those who were younger or who had diagnoses of depression or substance use disorder. CONCLUSION: In a setting with access to cessation resources, smoking prevalence decreased both in PWH and persons without HIV. PWH had greater uptake of cessation treatment, which is encouraging for smoking reduction and improved health.

OBJECTIVE: Using electronic health record (EHR) data from a systematic, primary care-based alcohol screening, brief intervention, and referral to treatment (SBIRT) initiative within a health system, we examined correlates of remission from unhealthy drinking among patients with an alcohol use disorder (AUD). METHOD: We conducted a longitudinal study of 4,078 adults with AUD who screened positive for unhealthy drinking between October 1, 2015, and September 30, 2016. We extracted EHR data up to 3 years after screening until October 1, 2018. We used survival analysis to examine associations between remission (i.e., reporting abstinence or low-risk drinking at a subsequent screening) and patient characteristics, comorbidities, and treatment utilization. RESULTS: The median time to remission from unhealthy drinking was 1.7 years. Factors significantly associated with greater odds of remitting from unhealthy drinking during follow-up were female gender; older age (50-64 years); Black or Latino/Hispanic race/ethnicity; having more medical comorbidities; not having a comorbid drug use disorder; lower alcohol consumption levels; and receiving addiction medicine treatment before the index screening. In the first follow-up year, individuals with mental health comorbidities were more likely to remit, but those in psychiatric treatment were less likely. Receiving addiction treatment during follow-up was not associated with remission. CONCLUSIONS: Ethnic minorities and individuals with mental illness were more likely to remit, which is encouraging given the health disparities observed among these clinically important subgroups and warrants further research. Our findings may inform research on AUD recovery and clinical practice, as remission from unhealthy drinking is a crucial component of the early stages of recovery.

While persons with HIV (PWH) have benefited from significant advances in treatment and resulting longevity, mental health problems remain elevated in this population. Adverse childhood experiences (ACEs) are common among PWH and may negatively affect mental health and HIV-related outcomes. We examined the association between ACEs, depression and anxiety symptoms, substance use, antiretroviral therapy (ART) adherence, and HIV-clinical indicators in a sample of 584 PWH at risk for unhealthy alcohol use enrolled in a primary care-based alcohol intervention study. The sample was 96.9% male, 63.0% non-Hispanic white, with an average age of 49.0 years. ACEs were highly prevalent: 82.5% reported ≥1 ACE, including 34.2% reporting 1-2 ACEs, 25.0% reporting 3-4 ACEs, and 23.3% reporting ≥5 ACEs. Adjusting for demographics, having 1-2, 3-4 or ≥5 ACEs was significantly associated with anxiety (ORs (95%CI): 3.41 (1.13-10.33), 4.36 (1.42-3.36), and 3.96 (1.28-12.19), respectively) and poorer mental health quality of life (Betas (SE): -3.21 (1.40), -6.23 (1.51), and -7.09 (1.54), respectively), but not with other outcomes. Trauma-informed interventions to reduce anxiety and improve mental health quality of life in PWH may reduce the negative health sequelae of ACEs.

BackgroundUnhealthy alcohol use has adverse effects on HIV treatment. Screening, brief intervention, and referral to treatment (SBIRT) has some evidence of efficacy but may not be sufficient for those with low motivation or comorbid substance use.ObjectiveTo examine the effectiveness of motivational interviewing (MI) and emailed feedback (EF) among primary care HIV-positive patients, compared with treatment as usual care (UC) only, which included SBIRT.DesignRandomized clinical trial.ParticipantsSix hundred fourteen adult HIV-positive patients in Kaiser Permanente Northern California who reported prior-year unhealthy alcohol use.InterventionParticipants were randomized to either three sessions of MI (one in person and two by phone), information regarding alcohol risks via EF through a patient portal, or UC alone. MI and EF participants who reported unhealthy alcohol use at 6 months were offered additional MI and EF treatment, respectively.Main measuresParticipant-reported unhealthy alcohol use (defined as ≥ 4/≥ 5 drinks per day for women/men), alcohol problems at 12 months, based on blinded telephone interviews. Secondary outcomes included drug use and antiretroviral (ART) adherence.Key resultsAt 12 months, there were no overall group differences, but in all three arms, there were declines in unhealthy alcohol use and alcohol-related problems (p

Background: Only 10% of patients with alcohol and other drug (AOD) disorders receive treatment. The AOD Initiation and Engagement in Treatment (AOD-IET) measure was added to the national Healthcare Effectiveness Data and Information Set (HEDIS) to improve access to care. This study identifies factors related to improving AOD-IET rates. Methods: We include data from 7 health systems with differing geographic, patient demographic, and organizational characteristics; all used a common Virtual Data Warehouse containing electronic health records and insurance claims data. Multilevel logistic regression models examined AOD-IET among adults (18+). Results: A total of 86,565 patients had an AOD diagnosis qualifying for the HEDIS denominator. The overall initiation rate was 27.9% with wide variation; the overall engagement rate was 11.5% and varied from 4.5% to 17.9%. Women versus men (odds ratio [OR] = 0.81, 95% confidence interval [CI] = 0.76-0.86); Hispanics (OR = 0.85, 95% CI = 0.79-0.91), black/African Americans (OR = 0.82, 95% CI = 0.75-0.90), and Asian Americans (OR = 0.83, 95% CI = 0.72-0.95) versus whites; and patients aged 65+ versus 18-29 (OR = 0.82, 95% CI = 0.74-0.90) had lower odds of initiation. Patients aged 30-49 versus 18-29 (OR = 1.11, 95% CI = 1.04-1.19) and those with prior psychiatric (OR = 1.26, 95% CI = 1.18-1.35) and medical (OR = 1.18, 95% CI = 1.10-1.26) conditions had higher odds of initiation. Identification in primary care versus other departments was related to lower odds of initiation (emergency department [ED]: OR = 1.55, 95% CI = 1.45-1.66; psychiatry/AOD treatment: OR = 3.58, 95% CI = 3.33-3.84; other outpatient: OR = 1.19, 95% CI = 1.06-1.32). Patients aged 30-49 versus 18-29 had higher odds of engagement (OR = 1.26, 95% CI = 1.10-1.43). Patients aged 65+ versus 18-29 (OR = 0.51, 95% CI = 0.43-0.62) and black/African Americans versus whites (OR = 0.64, 95% CI = 0.53-0.77) had lower odds. Those initiating treatment in psychiatry/AOD treatment versus primary care (OR = 7.02, 95% CI = 5.93-8.31) had higher odds of engagement; those in inpatient (OR = 0.40, 95% CI = 0.32-0.50) or other outpatient (OR = 0.73, 95% CI = 0.59-0.91) settings had lower odds. Discussion: Rates of initiation and engagement varied but were low. Findings identified age, race/ethnicity, co-occurring conditions, and department of identification as key factors associated with AOD-IET. Focusing on these could help programs develop interventions that facilitate AOD-IET for those less likely to receive care.

ObjectivesConcomitant excessive alcohol consumption and benzodiazepine use is associated with adverse health outcomes. We examined associations of unhealthy alcohol use and other patient characteristics with benzodiazepine use.Study designA cross-sectional analysis of 2,089,525 Kaiser Permanente of Northern California outpatients screened for unhealthy alcohol use in primary care between November 1, 2014, and December 31, 2016.MethodsWe fit multivariable generalized linear models to estimate the associations between unhealthy alcohol use and benzodiazepine dispensation and, among patients who were dispensed a benzodiazepine, mean doses (in mean lorazepam-equivalent daily doses [LEDDs]) and prescription durations. We controlled for patient sex, age, race/ethnicity, estimated household income, Charlson Comorbidity Index (CCI) score, anxiety disorder, alcohol use disorder, insomnia, musculoskeletal pain, and epilepsy.ResultsIn the 12 months centered around (6 months before and 6 months after) the first alcohol-screening visit, 7.5% of patients used benzodiazepines. The following characteristics were independently associated with higher rates of benzodiazepine use, higher LEDD, and longer prescription duration: older age, white race/ethnicity, lower estimated household income, higher CCI score, and the presence of an anxiety disorder, insomnia, musculoskeletal pain, or epilepsy. Women and patients with an alcohol use disorder or unhealthy alcohol use, compared with men and patients with low-risk drinking or abstinence, were more likely to use a benzodiazepine; however, their LEDDs were lower and their prescription durations were shorter.ConclusionsBenzodiazepine use in primary care was associated with older age, female sex, white race/ethnicity, lower socioeconomic status, and unhealthy alcohol use. These findings may be applied to develop policies and interventions to promote judicious benzodiazepine use.

BackgroundMarijuana use is clinically problematic in depression, and non-medical and medical use may both contribute to barriers to care in this population. Among outpatients with depression, we examined the differential impact of medical or non-medical marijuana use, relative to no-use, on psychopathology and service use over time.MethodParticipants were 307 psychiatry outpatients participating in a trial of drug/alcohol use treatment for depression. Measures of past 30-day marijuana use, depression/anxiety symptoms, psychiatry visits, and functional data related to health status were collected at baseline, 3, 6, and 12 months. Regressions (baseline and 1 year) and growth models (over time) predicted clinical and psychiatry visit outcomes, from medical or non-medical marijuana use (no-use = reference).ResultsAt baseline, 40.0% of the sample used marijuana and more reported non-medical (71.7%) than medical (28.2%) use. Relative to non-users at baseline, patients using medically had worse mental/physical health functioning (p's

This prognostic study examines whether a model predicting suicide attempts can accurately stratify suicide risk among individuals scheduled for an intake visit to outpatient mental health care. Key Points: Question: Can a model predicting suicide attempts accurately stratify suicide risk among individuals scheduled for an intake visit to outpatient mental health care? Findings: In this prognostic study testing a previously validated model of suicide attempts using a sample of 1 623 232 mental health intake appointments scheduled during the past decade, the model showed good overall classification performance. The 10% of appointments at the highest risk level accounted for 48.8% of the appointments followed by a suicide attempt within 90 days. Meaning: These findings suggest that risk for suicidal behavior may be accurately stratified for mental health care intake appointments to facilitate targeted preventive interventions for individuals who are seeking to initiate an episode of care. Importance: Given that suicide rates have been increasing over the past decade and the demand for mental health care is at an all-time high, targeted prevention efforts are needed to identify individuals seeking to initiate mental health outpatient services who are at high risk for suicide. Suicide prediction models have been developed using outpatient mental health encounters, but their performance among intake appointments has not been directly examined. Objective: To assess the performance of a predictive model of suicide attempts among individuals seeking to initiate an episode of outpatient mental health care. Design, Setting, and Participants: This prognostic study tested the performance of a previously developed machine learning model designed to predict suicide attempts within 90 days of any mental health outpatient visit. All mental health intake appointments scheduled between January 1, 2012, and April 1, 2022, at Kaiser Permanente Northern California, a large integrated health care delivery system serving over 4.5 million patients, were included. Data were extracted and analyzed from August 9, 2022, to July 31, 2023. Main Outcome and Measures: Suicide attempts (including completed suicides) within 90 days of the appointment, determined by diagnostic codes and government databases. All predictors were extracted from electronic health records. Results: The study included 1 623 232 scheduled appointments from 835 616 unique patients. There were 2800 scheduled appointments (0.17%) followed by a suicide attempt within 90 days. The mean (SD) age across appointments was 39.7 (15.8) years, and most appointments were for women (1 103 184 [68.0%]). The model had an area under the receiver operating characteristic curve of 0.77 (95% CI, 0.76-0.78), an area under the precision-recall curve of 0.02 (95% CI, 0.02-0.02), an expected calibration error of 0.0012 (95% CI, 0.0011-0.0013), and sensitivities of 37.2% (95% CI, 35.5%-38.9%) and 18.8% (95% CI, 17.3%-20.2%) at specificities of 95% and 99%, respectively. The 10% of appointments at the highest risk level accounted for 48.8% (95% CI, 47.0%-50.6%) of the appointments followed by a suicide attempt. Conclusions and Relevance: In this prognostic study involving mental health intakes, a previously developed machine learning model of suicide attempts showed good overall classification performance. Implementation research is needed to determine appropriate thresholds and interventions for applying the model in an intake setting to target high-risk cases in a manner that is acceptable to patients and clinicians. [ABSTRACT FROM AUTHOR]

BackgroundHazardous alcohol use with depression may exacerbate health conditions and complicate medical care. We examined the rate of depression screening by alcohol use severity among primary care patients screened for hazardous alcohol use and, among those screened, examined patterns of significant depressive symptoms.MethodsUsing cross-sectional data from primary care patients (n = 2,894,906), we examined past-90-day alcohol use (number of typical drinking days/week and typical number of drinks consumed daily); depression screening rates (using the Patient Health Questionnaire 9 [PHQ-9]); and symptom severity, demographics, and prevalence of selected psychiatric diagnoses.ResultsWithin 30 days of routine, in-clinic alcohol use screening by medical assistants, 2.4% (n = 68,686) of patients also completed a PHQ-9; these patients were more likely to be female, younger, white, Medicaid insured, and to have a nondepressive psychiatric diagnosis and a lower Charlson comorbidity score. Abstainers and moderate drinkers (1 to 7 drinks/week or 1 to 4 drinks/week for women and individuals >65 years or for men ≤65 years, respectively) were less likely than hazardous drinkers (exceeding weekly limits) to complete the PHQ-9 or to have significant depressive symptoms (PHQ-9 score ≥10). Nonwhite patients with higher Charlson comorbidity scores were more likely to endorse significant depressive symptoms.ConclusionsOnly a small fraction of patients in this cohort were screened for depression. Nonwhite patients and those with higher comorbidity burden were more likely to report depression but less likely to be screened. These discrepancies between depression-screening rates and significant depressive symptoms suggest that screening for depression should be enhanced in these at-risk groups.

BACKGROUND:Limited primary care-based research has examined hazardous drinking risk factors and motivation to reduce use in persons with HIV (PWH). METHODS:We computed prevalence ratios (PR) for factors associated with recent (5) included: moderate/severe depression (PR: 1.43; 1.03, 2.00) and other substance use (PR: 1.49; 1.11, 2.01). Lower importance was associated with incomes above $50,000 (PR: 0.65; 0.46, 0.91) and marijuana use (PR: 0.65; 0.49, 0.87). HIV-specific factors (e.g., CD4 and HIV RNA levels) were not associated with alcohol outcomes. CONCLUSIONS:This study identified modifiable participant characteristics associated with alcohol outcomes in PWH, including anxiety and depression severity, tobacco use, and other substance use.

PURPOSE:Early intervention for adolescent substance use and mental health problems may mitigate potential harm. We examined patient outcomes from a pragmatic trial of two modalities of delivering screening, brief intervention, and referral to treatment (SBIRT) and usual care (UC) in pediatric primary care. METHODS:All clinic pediatricians (n = 52) were randomized to three arms: (1) pediatrician-only, in which pediatricians were trained to deliver SBIRT; (2) embedded behavioral clinician (BC), in which pediatricians were trained to refer eligible adolescents to a BC who administered SBIRT; and (3) UC. Using electronic health record data, changes in past year substance use and depression symptoms between the index visit and next screening visit were examined across treatment arms. RESULTS:Among patients who endorsed substance use and/or depression symptoms or were eligible for further assessments, brief interventions, and referrals based on clinician assessment at the index visit, 648 patients (mean age = 15.2 [standard deviation = 1.2]) were rescreened at a follow-up visit between 6 months and 2 years later. Among all patients, self-reported substance use rates did not differ over time or across arms, and depression symptoms increased over time. The embedded BC arm had lower odds of having depression symptoms at follow-up than the physician-only arm, and lower odds than the UC arm although not significant; we found no differences between the pediatrician-only and UC arms. CONCLUSIONS:The increase in depression symptoms over time highlights this population's vulnerability and the importance of developing appropriate interventions. An embedded BC in pediatric primary care trained in SBIRT may benefit patients with depression symptoms.

This study examined whether marijuana use was associated with clinically problematic outcomes for patients with depression and alcohol use disorder (AUD). The sample consisted of 307 psychiatry outpatients with mild to severe depression and past 30-day hazardous drinking/drug use, who participated in a trial of substance use treatment. Participants were assessed for AUD based on DSM-IV criteria. Measures of marijuana use, depression symptoms, and functional status related to mental health were collected at baseline, 3, and 6 months. Differences in these outcomes were analyzed among patients with and without AUD using growth models, adjusting for treatment effects. Marijuana was examined as both an outcome (patterns of use) and a predictor (impact on depression and functioning). Forty percent used marijuana and about half the sample met AUD criteria. Fewer patients with AUD used marijuana than those without AUD at baseline. Over 6 months, the proportion of patients with AUD using marijuana increased compared to those without AUD. Patients with AUD using marijuana had greater depressive symptoms and worse functioning than those without AUD. These findings indicate that marijuana use is clinically problematic for psychiatry outpatients with depression and AUD. Addressing marijuana in the context of psychiatry treatment may help improve outcomes.

ObjectiveMany adolescents needing specialty addiction or psychiatry treatment never access care. We examined initiation and engagement with addiction and/or psychiatry treatment among adolescents referred to treatment from a trial comparing two different modalities of delivering Screening, Brief Intervention and Referral to Treatment (SBIRT) to Usual Care in pediatric primary care. We hypothesized that both intervention arms would have higher initiation and engagement rates than usual care.MethodsWe randomized all pediatricians (n=52) in a pediatric primary care clinic to three arms: 1) pediatrician-only arm, in which pediatricians were trained to deliver SBIRT for substance use and/or mental health problems; 2) embedded-behavioral health clinician (embedded-BHC arm), in which pediatricians referred adolescents who endorsed substance use and/or mental health problems to a BHC; and 3) Usual Care (UC). We used electronic health record (EHR) data to examine specialty addiction and psychiatry treatment initiation and engagement rates after referral.ResultsAmong patients who screened positive for substance use and/or mental health problems and were referred to specialty addiction and/or psychiatry (n=333), those in the embedded-BHC arm had almost four times higher odds of initiating treatment than those in the pediatrician-only arm, OR=3.99, 95% CI=[1.99-8.00]. Compared to UC, those in the pediatrician-only arm had lower odds of treatment initiation (OR=0.53, 95% CI=[0.28-0.99]), while patients in the embedded-BHC arm had marginally higher odds (OR=1.83, 95% CI=[0.99-3.38]). Black patients and those with other/unknown race/ethnicity had lower odds of treatment initiation compared with white adolescents; there were no gender or age differences. We found no differences in treatment engagement across the three arms.ConclusionsEmbedded BHCs can have a significant positive impact on facilitating treatment initiation for pediatric primary care adolescents referred to addiction and/or psychiatry services.Clinical trials registrationClinicalTrials.gov #NCT02408952.