A patient activation intervention in primary care for patients with chronic pain on long term opioid therapy: results from a randomized control trial.

BACKGROUND: Given significant risks associated with long-term prescription opioid use, there is a need for non-pharmacological interventions for treating chronic pain. Activating patients to manage chronic pain has the potential to improve health outcomes. The ACTIVATE study was designed to evaluate the effectiveness of a 4-session patient activation intervention in primary care for patients on long-term opioid therapy. METHODS: The two-arm, pragmatic, randomized trial was conducted in two primary care clinics in an integrated health system from June 2015-August 2018. Consenting participants were randomized to the intervention (n = 189) or usual care (n = 187). Participants completed online and interviewer-administered surveys at baseline, 6- and 12- months follow-up. Prescription opioid use was extracted from the EHR. The primary outcome was patient activation assessed by the Patient Activation Measure (PAM). Secondary outcomes included mood, function, overall health, non-pharmacologic pain management strategies, and patient portal use. We conducted a repeated measure analysis and reported between-group differences at 12 months. RESULTS: At 12 months, the intervention and usual care arms had similar PAM scores. However, compared to usual care at 12 months, the intervention arm demonstrated: less moderate/severe depression (odds ratio [OR] = 0.40, 95%CI 0.18-0.87); higher overall health (OR = 3.14, 95%CI 1.64-6.01); greater use of the patient portal's health/wellness resources (OR = 2.50, 95%CI 1.42-4.40) and lab/immunization history (OR = 2.70, 95%CI 1.29-5.65); and greater use of meditation (OR = 2.72; 95%CI 1.61-4.58) and exercise/physical therapy (OR = 2.24, 95%CI 1.29-3.88). At 12 months, the intervention arm had a higher physical health measure (mean difference 1.63; 95%CI: 0.27-2.98). CONCLUSION: This trial evaluated the effectiveness of a primary care intervention in improving patient activation and patient-reported outcomes among adults with chronic pain on long-term opioid therapy. Despite a lack of improvement in patient activation, a brief intervention in primary care can improve outcomes such as depression, overall health, non-pharmacologic pain management, and engagement with the health system. TRIAL REGISTRATION: The study was registered on 10/27/14 on ClinicalTrials.gov (NCT02290223).

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.

Evaluating Implementation and Outcomes of the Achieving Depression and Anxiety Patient-Centered Treatment Collaborative Care Program in a Large, Integrated Health Care System: A Mixed Methods Observational Study Protocol.

Background Collaborative care is an evidence-based multidisciplinary model shown to improve patient depression and anxiety outcomes. Although there is robust literature showing the effectiveness of collaborative care on depression and anxiety symptoms, there is little published on outcomes of collaborative care implementation or the efficacy of collaborative care compared with psychiatric referrals. Reported here is a study protocol examining a novel depression and anxiety collaborative care program in a large, integrated health care system. Methods This is a mixed methods study of the Achieving Depression and Anxiety Patient-Centered Treatment (ADAPT) program as compared to outpatient psychiatric care at Kaiser Permanente Northern California, a large, integrated health care delivery system. The ADAPT program was designed using collaborative care principles, including measurement-based care, accurate diagnosis, and population management. Eligible participants will be ≥ 18 years old with mild to moderate-severe depressive symptoms as measured by the Patient Health Questionnaire-9. Exclusion criteria include acute suicide risk and serious mental health comorbidities. Implementation is examined using the reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) framework and interviews with program stakeholders. Results Pending. Conclusion Study data will help inform future collaborative care efforts while expanding the literature base. The Achieving Depression and Anxiety Patient-Centered Treatment program may improve patient outcomes and access to quality depression and/or anxiety care.

Young Adult Substance Use and Healthcare Use Associated With Screening, Brief Intervention and Referral to Treatment in Pediatric Primary Care.

PURPOSE: Screening, brief intervention, and referral to treatment (SBIRT) may impact future comorbidity and healthcare utilization among adolescents screening positive for substance use or mood problems. METHODS: In a randomized trial sample, we compared an SBIRT group to usual care for substance use, mental health, medical diagnoses, and healthcare utilization over 7 years postscreening. RESULTS: In logistic regression models adjusting for patient characteristics, the SBIRT group had lower odds of any substance (Odds Ratio[OR] = 0.80, 95% Confidence Interval [CI] = 0.66-.98), alcohol (OR = 0.69, 95% CI = 0.51-0.94), any drug (OR = 0.73, 95% CI = 0.54-0.98), marijuana (OR = 0.70, 95% CI = 0.50-0.98), and tobacco (OR = 0.83, 95% CI = 0.69-1.00) diagnoses, and lower odds of any inpatient hospitalizations (OR = 0.59, 95% CI = 0.41-0.85) compared with usual care. Negative binomial models examining number of visits among adolescents with at least one visit of that type found that those in the SBIRT group had fewer primary care (incidence rate ratio[iRR] = 0.90, p < .05) and psychiatry (iRR = 0.64, p < .01) and more addiction medicine (iRR = 1.52, p < .01) visits over 7 years compared with usual care. In posthoc analyses, we found that among Hispanic patients, those in the SBIRT group had lower odds of any substance, any drug and marijuana use disorder diagnoses compared with usual care, and among Black/African American patients, those in the SBIRT group had lower odds of alcohol use disorder diagnoses compared with usual care. DISCUSSION: Beneficial effects of adolescent SBIRT on substance use and healthcare utilization may persist into young adulthood.

Parent-focused prevention of adolescent health risk behavior: Study protocol for a multisite cluster-randomized trial implemented in pediatric primary care.

Evidence-based parenting interventions play a crucial role in the sustained reduction of adolescent behavioral health concerns. Guiding Good Choices (GGC) is a 5-session universal anticipatory guidance curriculum for parents of early adolescents that has been shown to reduce substance use, depression symptoms, and delinquent behavior. Although prior research has demonstrated the effectiveness of evidence-based parenting interventions at achieving sustained reductions in adolescent behavioral health concerns, public health impact has been limited by low rates of uptake in community and agency settings. Pediatric primary care is an ideal setting for implementing and scaling parent-focused prevention programs as these settings have a broad reach, and prevention programs implemented within them have the potential to achieve population-level impact. The current investigation, Guiding Good Choices for Health (GGC4H), tests the feasibility and effectiveness of implementing GGC in 3 geographically and socioeconomically diverse large integrated healthcare systems. This pragmatic, cluster randomized clinical trial will compare GGC parenting intervention to usual pediatric primary care practice, and will include approximately 3750 adolescents; n = 1875 GGC intervention and n = 1875 usual care. The study team hypothesizes that adolescents whose parents are randomized into the GGC intervention arm will show reductions in substance use initiation, the study's primary outcomes, and other secondary (e.g., depression symptoms, substance use prevalence) and exploratory outcomes (e.g., health services utilization, anxiety symptoms). The investigative team anticipates that the implementation of GGC within pediatric primary care clinics will successfully fill an unmet need for effective preventive parenting interventions. Trial registration: Clinicaltrials.govNCT04040153.

Treatment for alcohol use disorder among persons with and without HIV in a clinical care setting in the United States.

BACKGROUND: Alcohol 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. METHODS: Using 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. RESULTS: PWH 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 < 0.01). Annual probabilities of receiving AUD treatment were 45.4% for PWH and 34.4% for PWoH. After adjusting, there was no difference by HIV status (PR 1.02 [95% CI 0.94-1.11]; P = 0.61). Of treated PWH, 59% received only a behavioral intervention, 5% only a medication, and 36% both, vs. 67%, 4%, 30% for treated PWoH, respectively. Irrespective of HIV status, the most common medication was gabapentin. Among PWH, receiving AUD treatment was associated with having depression (PR 1.78 [1.51-2.10]; P < 0.01) and another SUD (PR 2.68 [2.20-3.27]; P < 0.01). CONCLUSIONS: PWH with AUD had higher AUD treatment rates than PWoH with AUD in unadjusted but not adjusted analyses, which may be explained by higher psychiatric comorbidity burden among PWH.

Patient and provider factors associated with receipt and delivery of brief interventions for unhealthy alcohol use in primary care.

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.

The relationship of smoking and unhealthy alcohol use to the HIV care continuum among people with HIV in an integrated health care system.

INTRODUCTION: Smoking tobacco and unhealthy alcohol use may negatively influence HIV care continuum outcomes but have not been examined in combination. METHODS: Participants 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 (<75 copies/mL). Adjusted odds ratios (ORs) were obtained from separate logistic regression models for each outcome associated with smoking and unhealthy alcohol use independently and combined. RESULTS: The overall sample (N = 8958) had a mean age of 48.0 years; was 91.3 % male; 54.0 % white, 17.6 % Latino, 15.1 % black, and 9.6 % other race/ethnicity. Smoking was associated with higher odds of not being linked to HIV care (OR = 1.60 [95 % CI 1.03-2.48]), not retained (OR = 1.30 [95 % CI 1.13-1.50]), and HIV RNA not in control (OR = 1.91 [95 % CI 1.60-2.27]). Alcohol measures were not independently associated with outcomes. The combination of unhealthy alcohol use and smoking (versus neither) was associated with higher odds of not being linked to care (OR = 2.83 [95 % CI 1.40-5.71]), although the interaction did not reach significance (p = 0.18). CONCLUSIONS: In this large sample of PWH in an integrated health care system, smoking, both independently and in combination with unhealthy alcohol use, was associated with worse HIV care continuum outcomes.

Three-Year Outcomes After Brief Treatment of Substance Use and Mood Symptoms.

BACKGROUND: Screening, brief intervention, and referral to treatment (SBIRT) for adolescents exhibiting co-occurring substance use and mental health problems may improve outcomes and have long-lasting effects. This study examined the relationship between access to SBIRT and substance use, depression and medical diagnoses, and health services use at 1 and 3 years postscreening for such adolescents. METHODS: The study draws from a cluster-randomized trial comparing SBIRT to usual care (UC) for adolescents endorsing past-year substance use and recent mood symptoms during visits to a general pediatrics clinic between November 1, 2011, and October 31, 2013, in a large, integrated health system (N = 1851); this sample examined the subset of adolescents endorsing both problems (n = 289). Outcomes included depression, substance use and medical diagnoses, and emergency department and outpatient visits 1 and 3 years later. RESULTS: The SBIRT group had lower odds of depression diagnoses at 1 (odds ratio [OR] = 0.31; confidence interval [CI] = 0.11-0.87) and 3 years (OR = 0.51; CI = 0.28-0.94) compared with the UC group. At 3 years, the SBIRT group had lower odds of a substance use diagnosis (OR = 0.46; CI = 0.23-0.92), and fewer emergency department visits (rate ratio = 0.65; CI = 0.44-0.97) than UC group. CONCLUSIONS: The findings suggest that SBIRT may prevent health complications and avert costly services use among adolescents with both mental health and substance use problems. As SBIRT is implemented widely in pediatric primary care, training pediatricians to discuss substance use and mental health problems can translate to positive outcomes for these vulnerable adolescents.

Health System-Based Unhealthy Alcohol Use Screening and Treatment Comparing Demographically Matched Participants With and Without HIV.

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.

Smoking and cessation treatment among persons with and without HIV in a U.S. integrated health system.

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.

The Kaiser Permanente Northern California Adult Alcohol Registry, an Electronic Health Records-Based Registry of Patients With Alcohol Problems: Development and Implementation.

BACKGROUND: Electronic health record (EHR)-based disease registries have aided health care professionals and researchers in increasing their understanding of chronic illnesses, including identifying patients with (or at risk of developing) conditions and tracking treatment progress and recovery. Despite excessive alcohol use being a major contributor to the global burden of disease and disability, no registries of alcohol problems exist. EHR-based data in Kaiser Permanente Northern California (KPNC), an integrated health system that conducts systematic alcohol screening, which provides specialty addiction medicine treatment internally and has a membership of over 4 million members that are highly representative of the US population with access to care, provide a unique opportunity to develop such a registry. OBJECTIVE: Our objectives were to describe the development and implementation of a protocol for assembling the KPNC Adult Alcohol Registry, which may be useful to other researchers and health systems, and to characterize the registry cohort descriptively, including underlying health conditions. METHODS: Inclusion criteria were adult members with unhealthy alcohol use (using National Institute on Alcohol Abuse and Alcoholism guidelines), an alcohol use disorder (AUD) diagnosis, or an alcohol-related health problem between June 1, 2013, and May 31, 2019. We extracted patients' longitudinal, multidimensional EHR data from 1 year before their date of eligibility through May 31, 2019, and conducted descriptive analyses. RESULTS: We identified 723,604 adult patients who met the registry inclusion criteria at any time during the study period: 631,780 with unhealthy alcohol use, 143,690 with an AUD diagnosis, and 18,985 with an alcohol-related health problem. We identified 65,064 patients who met two or more criteria. Of the 4,973,195 adult patients with at least one encounter with the health system during the study period, the prevalence of unhealthy alcohol use was 13% (631,780/4,973,195), the prevalence of AUD diagnoses was 3% (143,690/4,973,195), and the prevalence of alcohol-related health problems was 0.4% (18,985/4,973,195). The registry cohort was 60% male (n=432,847) and 41% non-White (n=295,998) and had a median age of 41 years (IQR=27). About 48% (n=346,408) had a chronic medical condition, 18% (n=130,031) had a mental health condition, and 4% (n=30,429) had a drug use disorder diagnosis. CONCLUSIONS: We demonstrated that EHR-based data collected during clinical care within an integrated health system could be leveraged to develop a registry of patients with alcohol problems that is flexible and can be easily updated. The registry's comprehensive patient-level data over multiyear periods provides a strong foundation for robust research addressing critical public health questions related to the full course and spectrum of alcohol problems, including recovery, which would complement other methods used in alcohol research (eg, population-based surveys, clinical trials).

Associations Between Medical Conditions and Alcohol Consumption Levels in an Adult Primary Care Population.

Importance: Excessive alcohol consumption is associated with increased incidence of several medical conditions, but few nonveteran, population-based studies have assessed levels of alcohol use across medical conditions. Objective: To examine associations between medical conditions and alcohol consumption levels in a population-based sample of primary care patients using electronic health record data. Design, Setting, and Participants: This cross-sectional study used separate multinomial logistic regression models to estimate adjusted associations between 26 medical conditions and alcohol consumption levels in a sample of 2 720 231 adult primary care patients screened for unhealthy drinking between January 1, 2014, and December 31, 2017, then only among those reporting alcohol use. The study was conducted at Kaiser Permanente Northern California, a large, integrated health care delivery system that incorporated alcohol screening into its adult primary care workflow. Data were analyzed from June 29, 2018, to February 7, 2020. Main Outcomes and Measures: The main outcome was level of alcohol use, classified as no reported use, low-risk use, exceeding daily limits only, exceeding weekly limits only, or exceeding daily and weekly limits, per National Institute on Alcohol Abuse and Alcoholism guidelines. Other measures included sociodemographic, body mass index, smoking, inpatient and emergency department use, and a dichotomous indicator for the presence of 26 medical conditions in the year prior to the alcohol screening identified using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and ICD-10-CM diagnosis codes. Results: Among the 2 720 231 included patients, 1 439 361 (52.9%) were female, 1 308 659 (48.1%) were white, and 883 276 (32.5%) were aged 18 to 34 years. Patients with any of the conditions (except injury or poisoning) had lower odds of drinking at low-risk and unhealthy levels relative to no reported use compared with those without the condition. Among 861 427 patients reporting alcohol use, patients with diabetes (odds ratio [OR], 1.11; 95% CI, 1.08-1.15), hypertension (OR, 1.11; 95% CI, 1.09-1.13), chronic obstructive pulmonary disease (COPD; OR, 1.16; 95% CI, 1.10-1.22), or injury or poisoning (OR, 1.06; 95% CI, 1.04-1.07) had higher odds of exceeding daily limits only; those with atrial fibrillation (OR, 1.12; 95% CI, 1.06-1.18), cancer (OR, 1.06; 95% CI, 1.03-1.10), COPD (OR, 1.15; 95% CI, 1.09-1.20), or hypertension (OR, 1.37; 95% CI, 1.34-1.40) had higher odds of exceeding weekly limits only; and those with COPD (OR, 1.15; 95% CI, 1.07-1.23), chronic liver disease (OR, 1.42; 95% CI, 1.32-1.53), or hypertension (OR, 1.48; 95% CI, 1.44-1.52) had higher odds of exceeding both daily and weekly limits. Conclusions and Relevance: Findings suggest that patients with certain medical conditions are more likely to have elevated levels of alcohol use. Health systems and clinicians may want to consider approaches to help targeted patient subgroups limit unhealthy alcohol use and reduce health risks.

The role of substance use disorders in experiencing a repeat opioid overdose, and substance use treatment patterns among patients with a non-fatal opioid overdose.

BACKGROUND: A non-fatal opioid overdose (NFOO) increases the risk of another overdose and identifies high-risk patients. We estimated the risk of repeat opioid overdose for patients with and without substance use disorder (SUD) diagnoses and the change in substance use treatment utilization rates associated with the first NFOO. METHODS: We selected patients (>18 years of age) from Kaiser Permanente Northern California with a NFOO between 2009-2016 (n = 3,992). Cox proportional hazards models estimated the 1-year risk of opioid overdose associated with SUD diagnoses (opioid, alcohol, cannabis, amphetamine, sedative, and cocaine), controlling for patient characteristics. Among patients with an index NFOO, we calculated monthly utilization rates for outpatient substance use services and buprenorphine before and after the index overdose. Interrupted time series models estimated the change in level and trend in utilization rates associated with the index overdose. RESULTS: Approximately 7.2 % of patients had a repeat opioid overdose during the year after the index NFOO. The only SUD diagnosis significantly associated with greater risk of repeat overdose was opioid use disorder (OUD) (aHR: 1.51; 95 % CI: 1.13-2.01). Before the index overdose, 4.16 % of patients received outpatient substance use services and 1.32 % received buprenorphine. The index overdose was associated with a 5.94 % (standard error: 0.77 %) absolute increase in outpatient substance use services and a 1.29 % (standard error: 0.15 %) increase in buprenorphine. CONCLUSION: Patients with a NFOO and OUD are vulnerable to another overdose. Low initiation rates for substance use treatment after a NFOO indicate a need to address patient, provider, and system barriers.

Correlates of Pregnant Women's Participation in a Substance Use Assessment and Counseling Intervention Integrated into Prenatal Care.

INTRODUCTION: Screening and referral for substance use are essential components of prenatal care. However, little is known about barriers to participation in substance use interventions that are integrated within prenatal care. METHODS: Our study examines demographic and clinical correlates of participation in an initial assessment and counseling intervention integrated into prenatal care in a large healthcare system. The sample comprised Kaiser Permanente Northern California pregnant women with a live birth in 2014 or 2015 who screened positive for prenatal substance use via a self-reported questionnaire and/or urine toxicology test given as part of standard prenatal care (at ~ 8 weeks gestation). RESULTS: Of the 11,843 women who screened positive for prenatal substance use (median age = 30 years; 42% white; 38% screened positive for alcohol only, 20% for cannabis only, 5% nicotine only, 17% other drugs only, and 19% ≥ 2 substance categories), 9836 (83%) completed the initial substance use assessment and counseling intervention. Results from multivariable logistic regression analyses indicated that younger age, lower income, single marital status, and a positive urine toxicology test predicted higher odds of participation, while other/unknown race/ethnicity, greater parity, receiving the screening later in pregnancy, and screening positive for alcohol only or other drugs only predicted lower odds of participation (all Ps < .05). DISCUSSION: Findings suggest that integrated substance use interventions can successfully reach vulnerable populations of pregnant women (e.g., younger, lower income, racial/ethnic minorities). Future research should address whether differences in participation are due to patient (e.g., type of substance used, perceived stigma) or provider factors (e.g., working harder to engage traditionally underserved patients).

Association of Anxiety With High-Cost Health Care Use Among Individuals With Type 2 Diabetes.

OBJECTIVE: People with type 2 diabetes vary greatly in their use of high-cost health care resources. We examined the association of anxiety with high-cost use after accounting for depression and medical comorbidity. RESEARCH DESIGN AND METHODS: Using electronic health record data, we assessed past anxiety diagnosis, health care use and costs, demographics, comorbidities, and diabetes control status and complications during 2008-2012 for 143,573 adult members of an integrated health care system with type 2 diabetes. Multivariable regression models estimated associations between anxiety and emergency department (ED) use, total hospitalization costs, and high-cost status (i.e., incurring total health care costs in the top 20% among all system members). RESULTS: During 2008-2011, 12.9% of participants received a diagnosis of anxiety, of whom 52.9% also had received a depression diagnosis. After adjustment for covariates including depression, anxiety was positively related to the number of ED visits in 2012 (incidence rate ratio 1.27; 95% CI 1.21, 1.34), the likelihood of visiting the ED on a chronic, frequent basis during 2010-2012 (odds ratio 2.55; 95% CI 1.90, 3.44), and high-cost status in 2012 (odds ratio 1.29; 95% CI 1.23, 1.36), but anxiety was not related to total hospitalization costs in 2012 (relative cost ratio 1.06; 95% CI 0.94, 1.21; P = 0.33). CONCLUSIONS: Anxiety is highly comorbid with depression among individuals with type 2 diabetes and is independently associated with high-cost resource use. Strategies to improve anxiety management among people with diabetes hold the potential to also reduce health care costs.

Health Care Use Over 3 Years After Adolescent SBIRT.

BACKGROUND: Most studies on adolescent screening, brief intervention, and referral to treatment (SBIRT) have examined substance use outcomes. However, it may also impact service use and comorbidity-an understudied topic. We address this gap by examining effects of SBIRT on health care use and comorbidities. METHODS: In a randomized trial sample, we assessed 3 SBIRT care modalities: (1) pediatrician-delivered, (2) behavioral clinician-delivered, and (3) usual. Medical comorbidity and health care use were compared between a brief-intervention group with access to SBIRT for behavioral health (combined pediatrician and behavioral clinician arms) and a group without (usual care) over 1 and 3 years. RESULTS: Among a sample of eligible adolescents (n = 1871), the SBIRT group had fewer psychiatry visits at 1 year (incidence rate ratio [iRR] = 0.76; P = .05) and 3 years (iRR = 0.65; P < .05). Total outpatient visits did not differ in year 1. The SBIRT group was less likely to have mental health diagnoses (odds ratio [OR] = 0.69; 95% confidence interval [CI] = 0.48-1.01) or chronic conditions (OR = 0.66; 95% CI = 0.45-0.98) at 1 year compared with those in usual care. At 3 years, the SBIRT group had fewer total outpatient visits (iRR = 0.85; P < .05) and was less likely to have substance use diagnoses (OR = 0.64; 95% CI = 0.45-0.91) and more likely to have substance use treatment visits (iRR = 2.04; P < .01). CONCLUSIONS: Providing SBIRT in pediatric primary care may improve health care use and health, mental health, and substance use outcomes. We recommend further exploring the effects of SBIRT on these outcomes.

Patient characteristics associated with treatment initiation and engagement among individuals diagnosed with alcohol and other drug use disorders in emergency department and primary care settings.

Background: Treatment initiation and engagement rates for alcohol and other drug (AOD) use disorders differ depending on where the AOD use disorder was identified. Emergency department (ED) and primary care (PC) are 2 common settings where patients are identified; however, it is unknown whether characteristics of patients who initiate and engage in treatment differ between these settings. Methods: Patients identified with an AOD disorder in ED or PC settings were drawn from a larger study that examined Healthcare Effectiveness Data and Information Set (HEDIS) AOD treatment initiation and engagement measures across 7 health systems using electronic health record data (n = 54,321). Multivariable generalized linear models, with a logit link, clustered on health system, were used to model patient factors associated with initiation and engagement in treatment, between and within each setting. Results: Patients identified in the ED had higher odds of initiating treatment than those identified in PC (adjusted odds ratio [aOR] = 1.89, 95% confidence interval [CI] = 1.73-2.07), with no difference in engagement between the settings. Among those identified in the ED, compared with patients aged 18-29, older patients had higher odds of treatment initiation (age 30-49: aOR = 1.25, 95% CI = 1.12-1.40; age 50-64: aOR = 1.42, 95% CI = 1.26-1.60; age 65+: aOR = 1.27, 95% CI = 1.08-1.49). However, among those identified in PC, compared with patients aged 18-29, older patients were less likely to initiate (age 30-49: aOR = 0.81, 95% CI = 0.71-0.94; age 50-64: aOR = 0.68, 95% CI = 0.58-0.78; age 65+: aOR = 0.47, 95% CI = 0.40-0.56). Women identified in ED had lower odds of initiating treatment (aOR = 0.80, 95% CI = 0.72-0.88), whereas sex was not associated with treatment initiation in PC. In both settings, patients aged 65+ had lower odds of engaging compared with patients aged 18-29 (ED: aOR = 0.61, 95% CI = 0.38-0.98; PC: aOR = 0.42, 95% CI = 0.26-0.68). Conclusion: Initiation and engagement in treatment differed by sex and age depending on identification setting. This information could inform tailoring of future AOD interventions.

The prevalence of Healthcare Effectiveness Data and Information Set (HEDIS) initiation and engagement in treatment among patients with cannabis use disorders in 7 US health systems.

Background: Cannabis use disorders (CUDs) have increased with more individuals using cannabis, yet few receive treatment. Health systems have adopted the Healthcare Effectiveness Data and Information Set (HEDIS) quality measures of initiation and engagement in alcohol and other drug (AOD) dependence treatment, but little is known about the performance of these among patients with CUDs. Methods: This cohort study utilized electronic health records and claims data from 7 health care systems to identify patients with documentation of a new index CUD diagnosis (no AOD diagnosis ≤60 days prior) from International Classification of Diseases, Ninth revision, codes (October 1, 2014, to August 31, 2015). The adjusted prevalence of each outcome (initiation, engagement, and a composite of both) was estimated from generalized linear regression models, across index identification settings (inpatient, emergency department, primary care, addiction treatment, and mental health/psychiatry), AOD comorbidity (patients with CUD only and CUD plus other AOD diagnoses), and patient characteristics. Results: Among 15,202 patients with an index CUD diagnosis, 30.0% (95% confidence interval [CI]: 29.2-30.7%) initiated, 6.9% (95% CI: 6.2-7.7%) engaged among initiated, and 2.1% (95% CI: 1.9-2.3%) overall both initiated and engaged in treatment. The adjusted prevalence of outcomes varied across index identification settings and was highest among patients diagnosed in addiction treatment, with 25.0% (95% CI: 22.5-27.6%) initiated, 40.9% (95% CI: 34.8-47.0%) engaged, and 12.5% (95% CI: 10.0-15.1%) initiated and engaged. The adjusted prevalence of each outcome was generally highest among patients with CUD plus other AOD diagnosis at index diagnosis compared with those with CUD only, overall and across index identification settings, and was lowest among uninsured and older patients. Conclusion: Among patients with a new CUD diagnosis, the proportion meeting HEDIS criteria for initiation and/or engagement in AOD treatment was low and demonstrated variation across index diagnosis settings, AOD comorbidity, and patient characteristics, pointing to opportunities for improvement.

Association of behavioral health factors and social determinants of health with high and persistently high healthcare costs.

A high proportion of U.S. health care costs are attributable to a relatively small proportion of patients. Understanding behavioral and social factors that predict initial and persistent high costs for these "high utilizers" is critical for health policy-makers. This prospective observational study was conducted at Kaiser Permanente Northern California (KPNC), an integrated healthcare delivery system with 4.1 million members. A stratified random sample of high-cost vs. non-high-cost adult KPNC members matched by age, gender, race/ethnicity, type of health insurance, and medical severity (N = 378) was interviewed between 3/14/2013 and 3/20/2014. Data on health care costs and clinical diagnoses between 1/1/2008 and 12/31/2012 were derived from the electronic health record (EHR). Social-economic status, depression symptoms, adverse childhood experiences (ACEs), interpersonal violence, financial stressors, neighborhood environment, transportation access, and patient activation and engagement were obtained through telephone interviews. Initial and subsequent high-cost status were defined as being classified in top 20% cost levels over 1/1/2009-12/31/2011 and 1/1/2012-12/31/2012, respectively. Psychiatric diagnosis (OR 2.55, 95% CI 1.52-4.29, p < 0.001), financial stressors (OR 1.97, 95% CI 1.19-3.26, p = 0.009), and ACEs (OR 1.10, 95% CI 1.00-1.20, p = 0.051) predicted initial high-cost status. ACEs alone predicted persistent high-cost status in the subsequent year (OR 1.12, 95% CI 1.00-1.25, p = 0.050). Non-medical factors such as psychiatric problems, financial stressors and adverse childhood experiences contribute significantly to the likelihood of high medical utilization and cost. Efforts to predict and reduce high utilization must include measuring and potentially addressing these factors.