Contextual factors associated with successful alcohol screening and brief intervention implementation and sustainment in adult primary care.

INTRODUCTION: Hazardous drinking is a public health problem affecting approximately 20 % of the U.S. primary care population. Clinical trials have documented the efficacy and effectiveness of Alcohol Screening and Brief Intervention (ASBI), yet widespread implementation remains elusive, and questions remain regarding optimal implementation and sustainment strategies. Kaiser Permanente Northern California (KPNC) implemented systematic ASBI in adult primary care in mid-2013. We used 8 years of electronic health record (EHR) data, combined with surveys which captured primary care provider perceptions organized into PRISM (Practical, Robust Implementation and Sustainability Model) implementation framework domains (Intervention, External Environment, Implementation Infrastructure, and Recipients), to characterize ASBI implementation and sustainment and test how various factors are associated with ASBI rates. METHODS: Using EHR data, we calculated yearly screening rates of adults with a primary care visit, and brief intervention (BI) rates among those with a positive hazardous drinking screen, (exceeding the age and sex-specific daily and weekly low-risk NIH guidelines (≤3 per day and ≤ 7 per week for women and older men; ≤4 per day and ≤ 14 per week for men 18-65)), across KPNC, from 2014 to 2021. We collected web-based survey data, informed by the PRISM domains, from primary care providers (n = 796; 35.5 % RR) to assess perceptions on ASBI implementation and sustainability. RESULTS: Between 1/1/2014 and 12/31/21 there were 5,072,270 completed screenings and 624,167 BIs. After adjusting for patient panel characteristics, we found that facilities with higher Implementation Infrastructure domain scores, indicating more robust implementation capacity, had higher screening and BI rates; facilities with higher Intervention domain scores, indicating positive perceptions of SBIRT evidence, and facilities with higher Recipients domain scores, indicating perceived organizational robustness, clinician culture and management support; and greater perceived patient needs and their likely benefit from SBIRT, had higher BI rates. CONCLUSIONS: Results provide information on factors which may facilitate successful ASBI implementation and sustainability and could inform future ASBI implementation efforts in healthcare system settings. In particular, efforts toward bolstering an organization's implementation infrastructure capacity, prior to embarking on implementation of a systematic ASBI program, could potentially help pave the way for successful implementation.

Was receipt of any specialty alcohol treatment during the pandemic effective at reducing drinking for patients with or at risk of AUD?

INTRODUCTION: The COVID-19 pandemic changed the way healthcare providers delivered most health services, including treatment for alcohol use disorder (AUD). Specialty alcohol treatment remained available through the pandemic, and within some systems treatment use increased likely due to telehealth availability. However, the field knows little about the relationship between the pandemic's expanded access to specialty alcohol treatment and alcohol use outcomes. METHODS: The sample included 14,712 patients from Kaiser Permanente Northern California who screened positive for unhealthy alcohol use in primary care and had an AUD diagnosis or risked developing an AUD by reporting 5 or more heavy drinking days in a 3-month period between 1/1/2019 and 2/29/2020 (pre-pandemic). The study examined the receipt of any specialty alcohol treatment (including at least one outpatient, inpatient, or telehealth specialty treatment encounter, or pharmacotherapy prescription) from 3/1/2020 (pandemic start) to either the first completed follow-up alcohol screening or 6/20/2022 (study period end). The outcomes of alcohol use included changes in heavy drinking days, drinks per week, drinking days per week, and drinks per drinking day between the pre- and post-pandemic periods. RESULTS: On average patients significantly decreased alcohol use across all four alcohol use measures examined, regardless of whether they received treatment. However, those who received any treatment compared to those who did not have greater reductions in alcohol use, with an additional decrease of -3.55 heavy drinking days (95 % CI = -5.93, -1.17), -3.80 drinks per week (95 % CI = -5.18, -2.42), -0.72 drinks per drinking day (95 % CI = -1.14, -0.30), and - 1.01 drinking days per week (95 % CI = -1.30, -0.72). Treatment effects were greatest among patients who exceeded both daily and weekly limits pre-pandemic, with an additional decrease of -10.75 heavy drinking days (95 % CI = -15.28, -6.21), -12.83 drinks per week (95 % CI = -16.31, -9.35), -1.67 drinks per drinking day (95 % CI = -2.19, -1.14), and -2.02 drinking days per week (95 % CI = -2.41, -1.63). CONCLUSIONS: On average, patients decreased alcohol use during the onset of the pandemic, however, those who had any specialty alcohol treatment had significantly greater decreases, suggesting that the hybrid in-person and telehealth treatment approach was effective during the pandemic.

Prospective changes in drinking during the COVID-19 pandemic among adults with unhealthy alcohol use.

AIMS: This study examined differential changes in alcohol use during the COVID-19 pandemic among adults with unhealthy alcohol use. METHODS: Among 62 924 adults identified with unhealthy alcohol use in primary care prepandemic (1 January 2019 to 29 February 2020), changes in alcohol use during the pandemic (1 March 2020 to 30 June 2022) were examined using electronic health record data from Kaiser Permanente Northern California. Outcomes were changes in heavy drinking days in the past three months (HDDs) and overall consumption (drinks/week), including continuous and categorical measures. Differences in outcomes by sex, age, race/ethnicity, and alcohol use disorder (AUD) were examined. RESULTS: On average, drinking was reduced by 3.0 HDDs (in the past three months) (SD = 18.4) and 4.1 drinks/week (SD = 12.2), but women, certain age groups, White patients, and patients without AUD had smaller decreases than their counterparts. Overall, 9.1% increased, 34.4% maintained, and 56.5% decreased HDDs, and 20.2% increased, 19.8% maintained, and 60.1% decreased drinks/week. Women, patients aged ≥35 years, White patients, and patients with AUD had higher odds of increasing versus decreasing HDDs, and maintaining versus decreasing, compared to their counterparts. Patients aged 18-20 years, White patients, and patients without AUD had higher odds than their counterparts of increasing versus decreasing drinks/week. Women, patients aged 18-20 years, Asian/Pacific Islander, and Latino/Hispanic patients had higher odds of maintaining versus decreasing drinks/week. CONCLUSIONS: While alcohol use decreased overall among this sample of primary care patients with unhealthy drinking prepandemic, certain subgroups were more likely to increase drinking, suggesting a greater risk of alcohol-related problems.

Changes in Prenatal Cannabis Use Among Pregnant Individuals From 2012 to 2022.

This population-based cross-sectional study analyzed electronic health record data of pregnant individuals in an integrated health care delivery system in California to examine changes in prenatal cannabis use through self-report and urine toxicology testing during standard prenatal care between 2012 (n=33,546) and 2022 (n=43,415), and to test whether trends differed by race and ethnicity or age. The prevalence of prenatal cannabis use increased from 5.5% (95% CI, 5.3-5.8%) in 2012 to 9.0% (95% CI, 8.7-9.2%) in 2022 (adjusted prevalence ratio [aPR] 1.82, 95% CI, 1.72-1.92), with similar increases by toxicology test (aPR 1.70, 95% CI, 1.60-1.81) and self-report (aPR 2.12, 95% CI, 1.95-2.30). The increase in prevalence varied significantly across racial and ethnic and age groups, with the highest prevalence among Black individuals and those aged 13-24 across years. Although rates increased more slowly among groups with the highest prevalence of use, disparities persisted over time.

Association of psychiatric and substance use disorders with cannabis use and cannabis use disorder during early pregnancy in northern California.

AIMS: To estimate the strength of association between psychiatric disorders and substance use disorders (SUD), and cannabis use and cannabis use disorder (CUD) during early pregnancy. DESIGN: Observational study. SETTING: Kaiser Permanente Northern California, USA. PARTICIPANTS: 299 496 pregnancies from 227 555 individuals screened for cannabis use by self-report and a urine toxicology test at entrance to prenatal care in Kaiser Permanente Northern California during January 2011-December 2021 (excepting year 2020). The sample was 62.5% non-White, with a mean (standard deviation) age of 31.1 (5.5) years; 6.8% used cannabis; 0.2% had a CUD. MEASUREMENTS: Exposure variables included electronic health record-based psychiatric diagnoses of attention deficit hyperactivity, anxiety, bipolar, depressive, personality, posttraumatic stress and psychotic disorders; and alcohol, opioid, stimulant and tobacco use disorders, during the two years prior to pregnancy up to the day before the prenatal substance use screening date. Outcome variables were any cannabis use, frequency of self-reported cannabis use and CUD during early pregnancy. FINDINGS: Psychiatric disorder prevalence ranged from 0.2% (psychotic) to 14.3% (anxiety), and SUD ranged from 0.3% (stimulant/opioid) to 3.8% (tobacco). Psychiatric disorders were associated with cannabis use and CUD, with the strongest association for any use found for bipolar disorder (adjusted odds ratio [aOR] = 2.83; 95% confidence interval [CI] = 2.53-3.17) and the strongest association for CUD found for psychotic disorders (aOR = 10.01, 95% CI = 6.52-15.37). SUDs were associated with cannabis use and CUD, with the strongest association for any use found for tobacco use disorder (aOR = 4.03, 95% CI = 3.82-4.24) and the strongest association for CUD found for stimulant use disorder (aOR = 21.99, 95% CI = 16.53-29.26). Anxiety, bipolar, depressive disorders and tobacco use disorder were associated with greater odds of daily than monthly or less cannabis use. CONCLUSIONS: Psychiatric disorders and substance use disorders appear to be associated with elevated odds of any and frequent cannabis use as well as cannabis use disorder during early pregnancy. In most cases, the associations with cannabis outcomes were stronger for substance use disorders than other psychiatric disorders.

Racial and ethnic disparities in receipt of specialty treatment across risk profiles of adults with heavy alcohol use.

BACKGROUND: Variation in specialty treatment utilization for alcohol use disorder (AUD) by patient subgroups is poorly understood. This study examined whether and how patient risk profiles predict receipt of specialty treatment and whether there are disparities by race and ethnicity. METHODS: This cohort study included 206,956 adults with heavy alcohol use (that which exceeded National Institute on Alcohol Abuse and Alcoholism guidelines) between June 1, 2013 and December 31, 2014, using electronic health record data from Kaiser Permanente Northern California. Five risk profiles (characterized by daily or weekly heavy drinking and level of health risks) were identified in latent class analysis. Logistic regression models were fit to examine associations between risk profiles, race, ethnicity, and receipt of specialty treatment (including addiction medicine, psychiatry, or integrated behavioral health visits, and AUD pharmacotherapy), adjusting for other patient characteristics. Variation in the association between risk profiles and receipt of specialty treatment by race/ethnicity was also examined. RESULTS: Overall, 4.0% of patients received specialty treatment. Latino/Hispanic and Asian/Pacific Islander patients had lower odds of receiving specialty treatment than White patients (adjusted odds ratio [aOR] [95% CI] = 0.80 [0.75, 0.85], and 0.64 [0.59, 0.70], respectively). The substance use disorder and mental health disorder (SUD/MH) risk profile had the highest odds of receiving specialty treatment (10.46 [9.65, 11.34]). Associations between risk profiles and receipt of specialty treatment significantly differed by race/ethnicity. Black patients in the SUD/MH risk profile, and Hispanic/Latino patients in the risk profile with heavy daily drinking and more health risks, had lower odds of receiving specialty treatment than their White counterparts (adjusted ratio of odds ratios [aROR] [95% CI] = 0.69 [0.50, 0.94], and 0.79 [0.67, 0.92], respectively). CONCLUSIONS: This study provides new insights into racial/ethnic disparities in specialty treatment utilization for alcohol problems. Findings may help inform strategies for tailoring interventions to address heavy alcohol use.

Unhealthy Alcohol Use among Adults with Depression or Anxiety: Changes During COVID-19 and Associations with Mental Health Treatment.

OBJECTIVE: Individuals with unhealthy alcohol use and comorbid depression or anxiety may be vulnerable to alcohol use escalation in times of stress such as the COVID-19 pandemic. Among a cohort of individuals with pre-pandemic unhealthy drinking, we compared changes in alcohol use by whether people had a depression or anxiety diagnosis, and examined whether mental health treatment was related to these changes. METHODS: Using electronic health record data from Kaiser Permanente Northern California, we analyzed drinking changes during the pandemic (3/1/2020-6/30/2022) among adults identified in primary care with unhealthy alcohol use (exceeding daily/weekly recommended limits) pre-pandemic (1/1/2019-2/29/2020). Outcomes were mean changes in number of heavy drinking days (prior three months), drinks/week, drinks/day, and drinking days/week. Multivariable linear regression models were fit to: 1) compare outcomes of patients with depression or anxiety diagnoses to those without, and 2) among patients with depression or anxiety, estimate associations between mental health treatment and outcomes. RESULTS: The sample included 62,924 adults with unhealthy alcohol use, of whom 12,281 (19.5%) had depression or anxiety. On average, alcohol use significantly decreased across all measures during the pandemic, but patients with depression or anxiety had greater decreases in drinks/week (adjusted mean difference [aMD] [CI]=-0.34 [-0.55, -0.12]) and drinking days/week (-0.15 [-0.20, -0.10]). No associations were found between mental health treatment and changes in drinking. CONCLUSIONS: Contrary to expectations, patients with unhealthy alcohol use and depression or anxiety decreased alcohol use more than those without depression or anxiety during COVID-19, whether or not they accessed mental health services.

Addiction Medicine Treatment Utilization by Race/Ethnicity Among Adolescents With Substance Use Problems Before Versus During the COVID-19 Pandemic.

PURPOSE: To examine changes in addiction medicine treatment utilization during the COVID-19 pandemic among adolescents (aged 13-17 years) and differences by race/ethnicity. METHODS: We compared treatment initiation (overall and telehealth), engagement, and 12-week retention between insured adolescents with substance use problems during pre-COVID-19 (March to December 2019, n = 1,770) and COVID-19 (March to December 2020, n = 1,177) using electronic health record data from Kaiser Permanente Northern California. RESULTS: Compared to pre-COVID-19, odds of treatment initiation, overall (adjusted odds ratio [95% confidence interval] = 1.42 [1.21-1.67]), and telehealth (5.98 [4.59-7.80]) were higher during COVID-19, but odds of engagement and retention did not significantly change. Depending on the outcome, Asian/Pacific Islander, Black, and Latino/Hispanic (vs. White) adolescents had lower treatment utilization across both periods. Changes in utilization over time did not differ by race/ethnicity. DISCUSSION: Addiction medicine treatment initiation increased among insured adolescents during the pandemic, especially via telehealth. Although racial/ethnic disparities in treatment utilization persisted, they did not worsen.

Risk profiles of adults with heavy alcohol use: Drinking patterns, behavioral and metabolic factors, health problems, and racial and ethnic disparities.

BACKGROUND: Heavy alcohol use is a growing risk factor for chronic disease, yet little is known about its co-occurrence with other risk factors and health problems. This study aimed to identify risk profiles of adults with heavy alcohol use and examined potential disparities by race and ethnicity. METHODS: This cross-sectional study included 211,333 adults with heavy alcohol use (in excess of daily or weekly limits recommended by National Institute on Alcohol Abuse and Alcoholism) between June 1, 2013 and December 31, 2014 in Kaiser Permanente Northern California. Latent class analysis was used to examine how heavy drinking patterns clustered with other behavioral and metabolic risk factors and health problems to form risk profiles. Multinomial logistic regression models were fit to examine associations between race, ethnicity, and risk profiles. RESULTS: A 5-class model was selected as best fitting the data and representing clinically meaningful risk profiles: (1) "heavy daily drinking and lower health risks" (DAILY, 44.3%); (2) "substance use disorder and mental health disorder" (SUD/MH, 2.3%); (3) "heavy weekly drinking and lower health risks" (WEEKLY, 19.6%); (4) "heavy daily drinking and more health risks" (DAILY-R, 18.5%); (5) "heavy weekly drinking and more health risks" (WEEKLY-R, 15.3%). American Indian or Alaska Native (AIAN) and Black patients had higher odds than White patients of being in the SUD/MH, DAILY-R, and WEEKLY-R profiles than the DAILY profile. AIAN, Black, and Latino/Hispanic patients had higher odds than White patients of being in the SUD/MH, DAILY-R, and WEEKLY-R profiles rather than the WEEKLY profile. CONCLUSIONS: AIAN, Black, and Latino/Hispanic patients with self-reported heavy drinking were more likely to be in risk profiles with greater alcohol consumption, more health risks, and higher morbidity. Targeted, culturally appropriate interventions for heavy alcohol use that may address other modifiable risk factors are needed to work towards health equity.

Overall and Telehealth Addiction Treatment Utilization by Age, Race, Ethnicity, and Socioeconomic Status in California After COVID-19 Policy Changes.

Importance: Addiction treatment rapidly transitioned to a primarily telehealth modality (telephone and video) during the COVID-19 pandemic, raising concerns about disparities in utilization. Objective: To examine whether there were differences in overall and telehealth addiction treatment utilization after telehealth policy changes during the COVID-19 pandemic by age, race, ethnicity, and socioeconomic status. Design, Setting, and Participants: This cohort study examined electronic health record and claims data from Kaiser Permanente Northern California for adults (age ≥18 years) with drug use problems before the COVID-19 pandemic (from March 1, 2019, to December 31, 2019) and during the early phase of the COVID-19 pandemic (March 1, 2020, to December 31, 2020; hereafter referred to as COVID-19 onset). Analyses were conducted between March 2021 and March 2023. Exposure: The expansion of telehealth services during COVID-19 onset. Main Outcomes and Measures: Generalized estimating equation models were fit to compare addiction treatment utilization during COVID-19 onset with that before the COVID-19 pandemic. Utilization measures included the Healthcare Effectiveness Data and Information Set of treatment initiation and engagement (including inpatient, outpatient, and telehealth encounters or receipt of medication for opioid use disorder [OUD]), 12-week retention (days in treatment), and OUD pharmacotherapy retention. Telehealth treatment initiation and engagement were also examined. Differences in changes in utilization by age group, race, ethnicity, and socioeconomic status (SES) were examined. Results: Among the 19 648 participants in the pre-COVID-19 cohort (58.5% male; mean [SD] age, 41.0 [17.5] years), 1.6% were American Indian or Alaska Native; 7.5%, Asian or Pacific Islander; 14.3%, Black; 20.8%, Latino or Hispanic; 53.4%, White; and 2.5%, unknown race. Among the 16 959 participants in the COVID-19 onset cohort (56.5% male; mean [SD] age, 38.9 [16.3] years), 1.6% were American Indian or Alaska Native; 7.4%, Asian or Pacific Islander; 14.6%, Black; 22.2%, Latino or Hispanic; 51.0%, White; and 3.2%, unknown race. Odds of overall treatment initiation increased from before the COVID-19 pandemic to COVID-19 onset for all age, race, ethnicity, and SES subgroups except for patients aged 50 years or older; patients aged 18 to 34 years had the greatest increases (adjusted odds ratio [aOR], 1.31; 95% CI, 1.22-1.40). Odds of telehealth treatment initiation increased for all patient subgroups without variation by race, ethnicity, or SES, although increases were greater for patients aged 18 to 34 years (aOR, 7.17; 95% CI, 6.24-8.24). Odds of overall treatment engagement increased (aOR, 1.13; 95% CI, 1.03-1.24) without variation by patient subgroups. Retention increased by 1.4 days (95% CI, 0.6-2.2 days), and OUD pharmacotherapy retention did not change (adjusted mean difference, -5.2 days; 95% CI, -12.7 to 2.4 days). Conclusions: In this cohort study of insured adults with drug use problems, there were increases in overall and telehealth addiction treatment utilization after telehealth policies changed during the COVID-19 pandemic. There was no evidence that disparities were exacerbated, and younger adults may have particularly benefited from the transition to telehealth.

Disparities in the receipt of alcohol brief intervention: The intersectionality of sex, age, and race/ethnicity.

BACKGROUND AND AIMS: The increasing trend in alcohol consumption among women, exacerbated by the COVID-19 pandemic, is of growing concern. Screening, brief intervention, and referral to treatment in primary care is an efficacious and cost-effective treatment approach for unhealthy alcohol use. However, disparities exist in delivery of brief interventions by sex, age and race/ethnicity. This study measures brief intervention rates among eligible patients by sex, age and race/ethnicity and their intersectionality, in the context of a program of systematic alcohol screening and brief intervention program in adult primary care in a large, integrated health-care delivery system. DESIGN, SETTING AND PARTICIPANTS: This was a population-based observational study among primary care clinics in an integrated health-care delivery system in Northern California, USA. The participants comprised adult (18+) patients (n = 287 551) screening positive for unhealthy alcohol use between January 2014 and December 2017. MEASUREMENTS: Receipt of brief intervention, patient and provider characteristics from electronic health records. FINDINGS: Multi-level logistic regression showed that women had lower odds of receiving brief intervention than men among all age, racial/ethnic groups and drinking levels. Sex differences were greater among those aged 35-49 years [odds ratio (OR) = 0.67, 95% confidence interval (CI) = 0.64, 0.69]) and 50-65 years (OR = 0.69, 95% CI =0.66, 0.72) than among other age groups. Sex differences in odds of receiving brief intervention were greater for the Latino/Hispanic group for women versus men (OR = 0.69, 95% CI = 0.66, 0.72) and smaller for the Asian/Pacific Islander group (OR = 0.76, 95% CI = 0.72, 0.81). CONCLUSION: In the United States, compared with men, women appear to have lower odds of receiving brief intervention for unhealthy alcohol use across all age groups, particularly during middle age. Black women and Latina/Hispanic women appear to be less likely to receive brief intervention than women in other race/ethnicity groups. Receipt of brief intervention does not appear to differ by drinking levels between men and women.

Associations between alcohol brief intervention in primary care and drinking and health outcomes in adults with hypertension and type 2 diabetes: a population-based observational study.

OBJECTIVES: To evaluate associations between alcohol brief intervention (BI) in primary care and 12-month drinking outcomes and 18-month health outcomes among adults with hypertension and type 2 diabetes (T2D). DESIGN: A population-based observational study using electronic health records data. SETTING: An integrated healthcare system that implemented system-wide alcohol screening, BI and referral to treatment in adult primary care. PARTICIPANTS: Adult primary care patients with hypertension (N=72 979) or T2D (N=19 642) who screened positive for unhealthy alcohol use between 2014 and 2017. MAIN OUTCOME MEASURES: We examined four drinking outcomes: changes in heavy drinking days/past 3 months, drinking days/week, drinks/drinking day and drinks/week from baseline to 12-month follow-up, based on results of alcohol screens conducted in routine care. Health outcome measures were changes in measured systolic and diastolic blood pressure (BP) and BP reduction ≥3 mm Hg at 18-month follow-up. For patients with T2D, we also examined change in glycohaemoglobin (HbA1c) level and 'controlled HbA1c' (HbA1c<8%) at 18-month follow-up. RESULTS: For patients with hypertension, those who received BI had a modest but significant additional -0.06 reduction in drinks/drinking day (95% CI -0.11 to -0.01) and additional -0.30 reduction in drinks/week (95% CI -0.59 to -0.01) at 12 months, compared with those who did not. Patients with hypertension who received BI also had higher odds for having clinically meaningful reduction of diastolic BP at 18 months (OR 1.05, 95% CI 1.00 to 1.09). Among patients with T2D, no significant associations were found between BI and drinking or health outcomes examined. CONCLUSIONS: Alcohol BI holds promise for reducing drinking and helping to improve health outcomes among patients with hypertension who screened positive for unhealthy drinking. However, similar associations were not observed among patients with T2D. More research is needed to understand the heterogeneity across diverse subpopulations and to study BI's long-term public health impact.

Characterizing Unhealthy Alcohol Use Patterns and Their Association with Alcohol Use Reduction and Alcohol Use Disorder During Follow-Up in HIV Care.

Outcomes of PWH with unhealthy alcohol use, such as alcohol use reduction or progression to AUD, are not well-known and may differ by baseline patterns of unhealthy alcohol use. Among 1299 PWH screening positive for NIAAA-defined unhealthy alcohol use in Kaiser Permanente Northern California, 2013-2017, we compared 2-year probabilities of reduction to low-risk/no alcohol use and rates of new AUD diagnoses by baseline use patterns, categorized as exceeding: only daily limits (72% of included PWH), only weekly limits (17%), or both (11%), based on NIAAA recommendations. Overall, 73.2% (95% CI 70.5-75.9%) of re-screened PWH reduced to low-risk/no alcohol use over 2 years, and there were 3.1 (95% CI 2.5-3.8%) new AUD diagnoses per 100 person-years. Compared with PWH only exceeding daily limits at baseline, those only exceeding weekly limits and those exceeding both limits were less likely to reduce and likelier to be diagnosed with AUD during follow-up. PWH exceeding weekly drinking limits, with or without exceeding daily limits, may have a potential need for targeted interventions to address unhealthy alcohol use.

COVID-19 pandemic-related changes in utilization of telehealth and treatment overall for alcohol use problems.

BACKGROUND: During the COVID-19 pandemic, specialty alcohol treatment transitioned rapidly to telehealth, which may have created barriers for some patients but increased access for others. This study evaluated the impact of the COVID-19 pandemic on alcohol treatment utilization and potential disparities. METHODS: We analyzed electronic health record and claims data from Kaiser Permanente Northern California for adults with alcohol use problems (alcohol use disorder or unhealthy alcohol use diagnoses) during pre-COVID-19 (March to December 2019, n = 32,806) and COVID-19 onset (March to December 2020, n = 26,763). Generalized estimating equation models were fit to examine pre-COVID-19 to COVID-19 onset changes in alcohol treatment initiation, engagement, and retention (days in treatment). Heterogeneity in pre-COVID-19 to COVID-19 onset changes in treatment utilization by age, race, and ethnicity; neighborhood deprivation index (NDI); and comorbid medical and psychiatric disorders were also examined. RESULTS: Treatment initiation increased during the COVID-19 onset period (adjusted odds ratio [aOR] = 1.46; 95% CI = 1.41-1.52). The increases in odds of treatment initiation during the COVID-19 onset period compared with the pre-COVID period were largest among patients aged 18-34 years (aOR = 1.59; 95% CI = 1.48-1.71), those without medical conditions (aOR = 1.56; 95% CI = 1.49-1.65), and those without psychiatric disorders (aOR = 1.60; 95% CI = 1.51-1.69). Patients aged 18-34 years (aOR = 5.21; 95% CI = 4.67-5.81), those with the second highest NDIs (aOR = 4.63; 95% CI = 4.12-5.19), and those without medical (aOR = 4.34; 95% CI = 4.06-4.65) or psychiatric comorbidities (aOR = 4.48; 95% CI = 4.11-4.89) had the greatest increases in telehealth treatment initiation from pre-COVID-19 to COVID-19 onset. Treatment engagement and retention also increased during COVID-19 onset, with the greatest increase among patients aged 35-49 years who initiated treatment via telehealth (engagement: aOR = 2.33; 95% CI = 1.91-2.83; retention: adjusted mean difference [aMD] = 3.3 days; 95% CI = 2.6-4.1). We found no significant variation of changes in treatment utilization by race and ethnicity. CONCLUSIONS: The transition to telehealth in this healthcare system may have attracted subgroups of individuals who have historically underutilized care for alcohol use problems, particularly younger and healthier adults, without exacerbating pre-pandemic racial and ethnic disparities in treatment utilization.

Patterns of Health Care Use 5 Years After an Intervention Linking Patients in Addiction Treatment With a Primary Care Practitioner.

Importance: Substance use disorders are associated with high rates of emergency department (ED) use and challenges engaging with primary care services. Objective: To examine 5-year health care engagement and utilization outcomes for participants in the LINKAGE trial, given previously reported associations of LINKAGE with improved care engagement in the short term. Design, Setting, and Participants: In this post hoc analysis of a nonrandomized controlled trial, participants were assigned to the LINKAGE or usual care (UC) groups using a nonrandomized 3-month alternating off and on strategy over 30 months. Baseline through 5-year follow-up data were collected from April 2011 to October 2018. The trial was conducted at an urban outpatient addiction treatment clinic within a large health system among patients newly enrolled in addiction treatment. Data analysis was conducted from April 2021 to February 2022. Intervention: The LINKAGE intervention included 6 group-based sessions emphasizing patient agency, skill, and motivation in navigating health care services as well as a facilitated telephone or email connection with a primary care practitioner. The UC group received medical education. Main Outcomes and Measures: Substance use problem discussions with primary care practitioners (by patient self-report at 1-, 2-, and 5-year follow-up interview) and annual use of the electronic patient portal, primary care, and ED based on electronic health records. Results: A total of 503 participants, with a mean (SD) age of 42 (12) years, 346 (69%) male participants and 37 (7%) African American, 34 (7%) Asian, and 101 (20%) Hispanic participants, were assigned to LINKAGE (252 participants) or UC (251 participants). Compared with UC participants, LINKAGE participants were significantly more likely to discuss substance use problems with a primary care practitioner at 1-year follow-up (risk ratio [RR], 1.30; 95% CI, 1.03-1.65; P = .03) and use the electronic patient portal at 1- and 2-year follow-up (eg, messaging clinicians at 2 years: RR, 1.24; 95% CI, 1.04-1.47; P = .02). The LINKAGE group had small, statistically significant 5-year annual increases in primary care use (RR, 1.03; 95% CI, 1.003-1.07; P = .03) and significant annual decreases in substance-related ED use (RR, 0.79; 95% CI, 0.64-0.97; P = .03), relative to UC. The LINKAGE group did not significantly differ from the UC group on other types of ED utilization. Conclusions and Relevance: In this study, a patient activation intervention embedded in outpatient addiction treatment was associated with sustained improvements in health care engagement beyond previously reported 6-month outcomes and with long-term improvements in health care use patterns. Trial Registration: ClinicalTrials.gov Identifier: NCT01621711.

Comparing the effectiveness of a brief intervention to reduce unhealthy alcohol use among adult primary care patients with and without depression: A machine learning approach with augmented inverse probability weighting.

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 < .003), but not in the depressed subgroup (-0.33 to -0.01, 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.

Predicting severe alcohol use disorders in primary care using number of heavy drinking days.

BACKGROUND AND AIMS: Although screening for unhealthy alcohol use is becoming more common, severe alcohol use disorders (AUDs) associated with the most severe medical and socio-economic sequelae still often go unidentified in primary care. To improve identification of severe AUDs and aid clinical decision-making, we aimed to identify a threshold of heavy drinking days (HDDs) associated with severe AUDs. DESIGN, SETTING AND CASES: This cohort study analyzed electronic health record data of 138 765 adults who reported ≥ 1 HDD (4+ drinks/occasion for women and men aged ≥ 65 years, 5+ for men aged 18-64 years) during a 3-month period at a routine alcohol screening in primary care in a large Northern California, USA health-care system from 2014 to 2017. Our sample was 66.5% male, 59.7% white, 11.0% Asian/Pacific Islander, 5.0% black, 17.4% Latino/Hispanic and 7.0% other/unknown race/ethnicity; the mean age was 40.6 years (standard deviation = 15.2). MEASUREMENTS: We compared sensitivity and specificity of different thresholds of the reported number of HDDs during a 3-month period for predicting severe AUD diagnoses in the following year, in the full sample and by sex and age. FINDINGS: The prevalence of severe AUD diagnoses in the year after the screening was 0.6%. The optimal threshold predicting future severe AUD diagnoses in the full sample was ≥ 5 HDDs during a 3-month period [sensitivity = 68.9%, 95% confidence interval (CI) = 65.9, 72.0; specificity = 63.2%, 95% CI = 62.9, 63.4], but varied by sex and age. Women had a lower threshold than men (4 versus 6 HDDs), which decreased as women aged (from 5 HDDs among 18-24 years to 4 HDDs ≥ 25 years), but increased as men aged (from 5 HDDs among 18-24 years to 6 HDDs among 25-64 years, to 7 HDDs ≥ 65 years). CONCLUSIONS: Five or more heavy drinking days in a 3-month period may indicate heightened risk of future severe alcohol use disorder in an adult primary care population. The optimal thresholds are lower for women than for men, and thresholds decrease as women age but increase as men age.

Alcohol Use Among Young Adults in Northern California During the COVID-19 Pandemic-An Electronic Health Records-Based Study.

Background: Individuals globally were affected by the COVID-19 pandemic in myriad of ways, including social isolation and economic hardship, resulting in negative impacts on mental health and substance use. Young adults have been subjected to extraordinary challenges such as job loss, virtual school, or childcare issues, but have received limited attention from research so far. Methods: Using electronic health record data from a large integrated healthcare system in Northern California, this longitudinal observational study examined changes in the prevalence of unhealthy alcohol use (identified via systematic alcohol screening in adult primary care) from pre- (3/1/2019-12/31/2019) to post-COVID onset (3/1/2020-12/31/2020) among young adults (18-34 years). Among the 663,111 and 627,095 young adults who utilized primary care in the pre- and post-COVID onset periods, 342,889 (51.9%) and 186,711 (29.8%) received alcohol screening, respectively. We fit generalized estimating equation Poisson models to estimate the change in prevalence of unhealthy alcohol use from pre- to post-COVID onset among those who were screened, while using inverse probability weighting to account for potential selection bias of receiving alcohol screening. Heterogeneity in the change of prevalence by patient characteristics was also examined. Results: Overall, the unadjusted prevalence of unhealthy alcohol use slightly decreased from 9.2% pre-COVID to 9.0% post-COVID onset. After adjusting for patient covariates, the prevalence of unhealthy alcohol use decreased by about 2% [adjusted prevalence ratio (aPR) = 0.98, 95% CI = 0.96, 1.00]. The prevalence of unhealthy alcohol use increased among women by 8% (aPR = 1.08, 95% CI = 1.06, 1.11), patients 18-20 years by 7% (aPR = 1.07, 95% CI = 1.00, 1.15), and Latino/Hispanic patients by 7% (aPR = 1.07, 95% CI = 1.03, 1.11). While the prevalence of unhealthy alcohol use decreased among men by 12% (aPR = 0.88, 95% CI = 0.86, 0.90), patients 21-34 years by 2% (aPR = 0.98, 95% CI = 0.96, 0.99), White patients by 3% (95% CI = 0.95, 1.00), and patients living in neighborhoods with the lowest deprivation indices by 9% (aPR = 0.91, 95% CI = 0.88, 0.94), their unadjusted prevalence remained higher than their counterparts post-COVID onset. There was no variation in the change of prevalence by comorbid mental health conditions or drug use disorders. Conclusions: While changes in unhealthy alcohol use prevalence among young adults were small, findings raise concerns over increased drinking among women, those younger than the U.S. legal drinking age, and Latino/Hispanic patients.

Alcohol brief intervention, specialty treatment and drinking outcomes at 12 months: Results from a systematic alcohol screening and brief intervention initiative in adult primary care.

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.

Predicting adolescent alcohol and other drug problems using electronic health records data.

IMPORTANCE: Alcohol and other drug (AOD) use problems may cause significant burden on affected adolescents and their families, yet treatment providers often do not identify these problems early enough. OBJECTIVE: To develop, and internally and externally validate a multivariable prediction model of adolescent AOD problems using child- and maternal-level predictors before age 12, and child-level predictors between ages 12 to 18, as recorded in the electronic health records (EHR). DESIGN: A retrospective cohort study conducted time-to-event analyses using Cox proportional hazards models. SETTING AND PARTICIPANTS: 41,172 children born between 1997 and 2000 at four health plans (Kaiser Permanente Hawaii, KPHI; Kaiser Permanente Northern California, KPNC; Geisinger Clinic, GC; and Henry Ford Health System, HFHS) who had continuous membership since birth and linkable maternal records in the health plan. OUTCOMES: AOD use problems between ages 12 to 18, defined as either: 1) having a contact with the AOD treatment program or 2) receiving a non-tobacco AOD diagnosis in an inpatient or outpatient encounter. EXPOSURES: Candidate predictor variables include demographics, socioeconomic status, and clinical diagnoses of the children and the mothers. RESULTS: Overall, 1400 (3.4%) adolescents had an AOD disorder between ages 12 to 18; the median follow-up time post-age 12 was 5.3 years. The research team developed two final prediction models: a "baseline" model of 10 child-level and 7 maternal-level predictors before age 12, and a more comprehensive "time-varying" model, which incorporated child risk factors after age 12 as time-varying covariates in addition to the baseline model predictors. Model performance evaluation showed good discrimination performance of the models, with the concordance index improved for the time-varying model, especially for prediction of AOD events in late adolescence. CONCLUSIONS AND RELEVANCE: This study identified a number of child and maternal characteristics and diagnoses routinely available in EHR data as predictive of risk for developing AOD problems in adolescence. Further, we found that risk of developing problems varies significantly by the timing and persistence of the risk factors. Findings may have potential clinical implications for prevention and identification of adolescent AOD problems, but more research is needed, especially across additional health systems.