Prevalence and trends of suspected cannabinoid hyperemesis syndrome over an 11-year period in Northern California: An electronic health record study.

BACKGROUND: As access to cannabis has increased, there has been a rise in a condition called cannabinoid hyperemesis syndrome (CHS). This study estimates annual prevalence of suspected CHS at emergency department visits (ED) over an 11-year period in Northern California. METHODS: This retrospective observational cohort study used electronic health records from Kaiser Permanente Northern California. Two CHS case definitions were used to construct two cohorts of adults (18+) with ≥1 CHS visits from 2009 to 2019. The primary definition used a narrow definition based on past studies (CHS group 1) and an exploratory definition allowed for a broader range of codes (CHS group 2); both definitions required a primary diagnosis of vomiting. Annual prevalence of CHS and annual rates of counts of CHS visits estimated using a log-link Poisson model are reported per group. FINDINGS: There were 57,227 patients with ≥1 CHS visits included in CHS group 1 and 65,645 patients included in CHS group 2. Over eleven years, CHS increased across groups with the fastest rise in CHS group 1 (prevalence ratio = 2.75, 95 % confidence interval [CI] 2.65-2.85, p<.0001 from 2009 to 2019 vs. prevalence ratio = 2.34, 95 % CI 2.27-2.43). CHS group 1 also exhibited the largest increase in ED visits (rate ratio = 2.35, 95 % CI 2.27-2.43, p<.0001). CONCLUSION: In a large California population, suspected CHS increased over time across definitions. Annual prevalence increased by 134-175 %, depending on CHS definition. CHS group 2's definition may have been too broad and changes in ICD-10-CM coding may have impacted estimates.

Development and Validation of Electronic Health Record Measures of Safety Planning Practices as Part of Zero Suicide Implementation.

OBJECTIVE: Safety planning for suicide prevention is an important quality metric for Zero Suicide implementation. We describe the development, validation, and application of electronic health record (EHR) programs to measure uptake of safety planning practices across six integrated healthcare systems as part of a Zero Suicide evaluation study. METHODS: Safety planning was documented in narrative notes and structured EHR templates using the Stanley Brown Safety Planning Intervention (SBSPI) in response to a high-risk cutoff score on the Columbia Suicide Severity Rating Scale (CSSRS). Natural Language Processing (NLP) metrics were developed and validated using chart review to characterize practices documented in narrative notes. We applied NLP to measure frequency of documentation in the narrative text and standard programming methods to examine structured SBSPI templates from 2010-2022. RESULTS: Chart reviews found three safety planning practices documented in narrative notes that were delivered to at least half of patients at risk: professional contacts, lethal means counseling for firearms, and lethal means counseling for medication access/storage. NLP methods were developed to identify these practices in clinical text with high levels of accuracy (Sensitivity, Specificity, & PPV ≥ 82%). Among visits with a high-risk CSSRS, 40% (Range 2-73% by health system) had an SBSPI template within 1 year of implementation. CONCLUSIONS: This is one of the first reports describing development of measures that leverage electronic health records to track use of suicide prevention safety plans. There are opportunities to use the methods developed here in future evaluations of safety planning.

Measuring safety planning delivery in real-world systems to understand quality of suicide prevention care is challenging.Natural Language Processing (NLP) methods effectively identified some safety planning practices in electronic health records (EHR) from all notes ensuring a comprehensive measurement, but NLP will require updates/testing for local documentation practices.Structured safety planning templates in the EHR using the Stanley Brown Safety Planning Intervention improve ease and accuracy of measurement but may be less comprehensive than NLP for capturing all instances of safety planning documentation.

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.

Variation in completeness of coding external cause of injuries under ICD-10-CM.

INTRODUCTION: Information about causes of injury is key for injury prevention efforts. Historically, cause-of-injury coding in clinical practice has been incomplete due to the need for extra diagnosis codes in the International Classification of Diseases-Ninth Revision-Clinical Modification (ICD-9-CM) coding. The transition to ICD-10-CM and increased use of clinical support software for diagnosis coding is expected to improve completeness of cause-of-injury coding. This paper assesses the recording of external cause-of-injury codes specifically for those diagnoses where an additional code is still required. METHODS: We used electronic health record and claims data from 10 health systems from October 2015 to December 2021 to identify all inpatient and emergency encounters with a primary diagnosis of injury. The proportion of encounters that also included a valid external cause-of-injury code is presented. RESULTS: Most health systems had high rates of cause-of-injury coding: over 85% in emergency departments and over 75% in inpatient encounters with primary injury diagnoses. However, several sites had lower rates in both settings. State mandates were associated with consistently high external cause recording. CONCLUSIONS: Completeness of cause-of-injury coding improved since the adoption of ICD-10-CM coding and increased slightly over the study period at most sites. However, significant variation remained, and completeness of cause-of-injury coding in any diagnosis data used for injury prevention planning should be empirically determined.

Clinician perspectives on adolescent cannabis-related beliefs and behaviors following recreational cannabis legalization.

BACKGROUND: As more states legalize cannabis, studies are needed to understand the potential impacts of recreational cannabis legalization (RCL) on adolescents from the perspective of clinicians who care for them. METHODS: This qualitative study characterized clinician perspectives on whether cannabis legalization is associated with changes in adolescents' cannabis use beliefs, behaviors, and consequences. Semi-structured qualitative interviews were conducted with 32 clinicians in a large healthcare organization from 9/6/2022-12/21/2022. Video-recorded interviews were transcribed and analyzed using thematic analysis. RESULTS: The 32 participants (56.3 % female, mean [SD] age, 45.9 [7.6] years; 65.3 % non-Hispanic White) were from Addiction Medicine (n = 13), Psychiatry/Mental Health (n = 7), Pediatrics (n = 5), and the Emergency Department (n = 7). Clinicians described post-RCL increases in adolescent cannabis use, use of non-combustible modes and high-potency products, and younger age of first use. Clinicians reported social, physical, and policy changes, including changes in social norms, appealing advertisements, marketing, and easier access. Many noted fewer perceived harms among adolescents and greater self-medication post-RCL. They described how RCL contributed to increased parental cannabis use and permissiveness around adolescent use. Finally, many described post-RCL increases in cannabis hyperemesis syndrome, and several noted increased cannabis-related psychosis and acute intoxication, and decreased court-mandated treatment. CONCLUSIONS: Clinicians from diverse specialties described post-RCL increases in adolescent cannabis use and cannabis-related consequences, alongside changes in social norms, access, marketing and advertisements, and decreased perceptions of harms. Findings can inform strategies to support adolescents in the context of increased cannabis availability and acceptability post-legalization and support the development of hypotheses for broader-scale quantitative work.

Factors associated with suicidal ideation among people with HIV engaged in care.

BACKGROUND: People with HIV (PWH) are at elevated risk for suicidal ideation (SI), yet few studies have examined how substance use, clinical and sociodemographic factors are associated with SI among PWH. METHOD: We used substance use (Tobacco, Alcohol, Prescription Medication, and Other Substance Use [TAPS]) and depression (PHQ-9) data from computerized screening of adult PWH in primary care clinics in Northern California, combined with health record data on psychiatric diagnoses, HIV diagnosis, treatment, and control (HIV RNA, CD4), insurance, and neighborhood deprivation index (NDI) to examine factors associated with SI (PHQ-9 item 9 score > 0). Adjusted odds ratios (aOR) for SI were obtained from logistic regression models. RESULTS: Among 2829 PWH screened (92 % male; 56 % white; mean (SD) age of 54 (13) years; 220 (8 %) reported SI. Compared with no problematic use, SI was higher among those reporting one (aOR = 1.65, 95 % CI = 1.17, 2.33), two (aOR = 2.23, 95 % CI = 1.42, 3.49), or ≥ 3 substances (aOR = 4.49, 95 % CI = 2.41, 8.39). SI risk was higher for those with stimulant use (aOR = 3.55, 95 % CI = 2.25, 5.59), depression (aOR = 4.18, 95 % CI = 3.04, 5.74), and anxiety diagnoses (aOR = 1.67, 95 % CI = 1.19, 2.34), or Medicaid (aOR = 2.11, 95%CI = 1.24, 3.60) compared with commercial/other insurance. SI was not associated with HIV-related measures or NDI. LIMITATIONS: SI was assessed with a single PHQ-9 item. Simultaneous SI and exposure data collection restricts the ability to establish substance use as a risk factor. CONCLUSIONS: HIV care providers should consider multiple substance use, stimulant use, depression or anxiety, and public insurance as risk factors for SI and provide interventions when needed.

Clozapine Use Among People With Psychotic Disorders Who Experience Specific Indications for Clozapine.

Objective: To examine rates of clozapine use among people with psychotic disorders who experience specific indications for clozapine.Methods: Records data from 11 integrated health systems identified patients aged 18 years or older with recorded International Classification of Diseases, Tenth Revision, Clinical Modification, diagnoses of schizophrenia, schizoaffective disorder, or other psychotic disorder who experienced any of the 3 events between January 1, 2019, and December 31, 2019, suggesting indications for clozapine: a diagnosis of self-harm injury or poisoning, suicidal ideation diagnosed or in response to standardized assessments, and hospitalization or emergency department (ED) care for psychotic disorder despite treatment with 2 or more antipsychotic medications. Prescription dispensing data identified all clozapine use prior to or in the 12 months following each indication event. Analyses were conducted with aggregate data from each health system; no individual data were shared.Results: A total of 7,648 patients with psychotic disorder diagnoses experienced at least 1 indication event. Among 1,097 experiencing a self-harm event, 32 (2.9%) had any prior clozapine use, and 10 (0.9%) initiated clozapine during the following 12 months. Among 6,396 with significant suicidal ideation, 238 (3.7%) had any prior clozapine use, and 70 (1.1%) initiated clozapine over 12 months. Among 881 with hospitalization or ED visit despite pharmacotherapy, 77 (8.7%) had any prior clozapine treatment, and 41 (4.7%) initiated clozapine over 12 months. Among those with significant suicidal ideation, rates of both prior clozapine treatment and subsequent initiation varied significantly by race and ethnicity, with rates among Hispanic and non-Hispanic Black patients lower than among non Hispanic White patients.Conclusions: Initiating clozapine treatment is uncommon among people with psychotic disorders who experience events suggesting clozapine is indicated, with even lower rates among Black and Hispanic patients.

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.

Suicide Screening, Risk Assessment, and Lethal Means Counseling During Zero Suicide Implementation.

OBJECTIVE: The authors measured implementation of Zero Suicide (ZS) clinical practices that support identification of suicide risk and risk mitigation, including screening, risk assessment, and lethal means counseling, across mental health specialty and primary care settings. METHODS: Six health care systems in California, Colorado, Michigan, Oregon, and Washington participated. The sample included members ages ≥13 years from 2010 to 2019 (N=7,820,524 patients). The proportions of patients with suicidal ideation screening, suicide risk assessment, and lethal means counseling were estimated. RESULTS: In 2019, patients were screened for suicidal ideation in 27.1% (range 5.0%-85.0%) of mental health visits and 2.5% (range 0.1%-35.0%) of primary care visits among a racially and ethnically diverse sample (44.9% White, 27.2% Hispanic, 13.4% Asian, and 7.7% Black). More patients screened positive for suicidal ideation in the mental health setting (10.2%) than in the primary care setting (3.8%). Of the patients screening positive for suicidal ideation in the mental health setting, 76.8% received a risk assessment, and 82.4% of those identified as being at high risk received lethal means counseling, compared with 43.2% and 82.4%, respectively, in primary care. CONCLUSIONS: Six health systems that implemented ZS showed a high level of variation in the proportions of patients receiving suicide screening and risk assessment and lethal means counseling. Two opportunities emerged for further study to increase frequency of these practices: expanding screening beyond patients with regular health care visits and implementing risk assessment with lethal means counseling in the primary care setting directly after a positive suicidal ideation screening.

Anxiety, depression, and suicidal ideation among early adolescents during the COVID-19 pandemic.

BACKGROUND: Anxiety and depression are among the most common and debilitating psychiatric disorders affecting youth, with both related to increased suicide risk. While rates of youth anxiety and depression were increasing before the COVID-19 pandemic, the pandemic further negatively impacted adolescent mental health. Unfortunately, few studies have examined prevalence of these concerns among early adolescents (ages 10-13) longitudinally during the pandemic. METHOD: The current study examined self-reported anxiety and depression symptoms, and suicidal ideation amongst a general pediatrics population of 11- to 13-year-olds (n = 623) from March through September 2020 (early-pandemic) and approximately 7 months later (September 2020 through May 2021; mid-pandemic). Paired samples proportions were used to examine changes in prevalence of moderate to severe anxiety, depression, and suicidal ideation from early- to mid-pandemic. RESULTS: Results highlight high initial rates and stability in anxiety and suicidal ideation, as well as a significant increase in depression (42.9% increase; p < .05) among the full sample during the COVID-19 pandemic. Prevalance of concerns were greatest for females and Hispanic youth during the early-pandemic, and generally highest for females and Medicaid insured youth at mid-pandemic. DISCUSSION: Results extend recent research and underscore the need for continued monitoring of mental health concerns across development for youth who grew up during the COVID-19 pandemic; highlighting the need for sustainable, effective, and accessible early detection, prevention, and intervention strategies. Improving these services is critical to support youth who experienced pandemic-related stressors, and to prepare for supporting youth during future disruptive and isolating events.

On- and Off-Label Atypical Antipsychotic Prescription Trends Across a Nine-Year Period Among Adolescents Pre- to Post-COVID-19.

OBJECTIVE: This study examined atypical antipsychotic prescribing by Food and Drug Administration (FDA) approved-use (on-label) status for adolescents before and during the COVID-19 pandemic. METHODS: Retrospective data were collected from electronic health records (EHRs) of adolescents aged 10-17 years in Kaiser Permanente Northern California. New outpatient atypical antipsychotic prescription orders during 2013-2021 were evaluated. Prescriptions were categorized as on-label if linked in EHRs to autism, psychosis, bipolar disorder, or Tourette's diagnoses; otherwise, they were potentially off-label (herein, off-label). Trend analysis of monthly prescribing rates assessed slope change at pandemic onset for the cohort and by sex and age groups. RESULTS: Among 5828 patients, 74.5% of new antipsychotic orders were off-label in 2021. Overall prescribing decreased significantly until early 2020 (slope = -0.045, P < .01) but then significantly increased through 2021 (post-March 2020 slope change = 0.211, P = .01). Off-label prescriptions increased at a similar rate during the COVID-19 time period, but on-label prescriptions did not change significantly. Males and younger adolescents (ages 10-14 years) showed significant decreases until early 2020, while females and older adolescents (ages 15-17 years) did not. Females and younger adolescents exhibited significant increases in overall and off-label prescribing rates following pandemic onset; older adolescents exhibited increases in overall prescriptions while males had no detectable changes. CONCLUSIONS: Antipsychotic prescribing declined slightly but then increased significantly following COVID-19 onset for overall and off-label prescriptions. Pandemic onset differentially impacted antipsychotic prescribing by sex and age, with overall and off-label prescribing driven by increases among female and younger adolescents.

Validation of a Multivariable Model to Predict Suicide Attempt in a Mental Health Intake Sample.

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.

Adolescent utilization of eating disorder higher level of care: roles of family-based treatment adherence and demographic factors.

BACKGROUND: Outpatient family-based treatment (FBT) is effective in treating restrictive eating disorders among adolescents. However, little is known about whether FBT reduces higher level of care (HLOC) utilization or if utilization of HLOC is associated with patient characteristics. This study examined associations between utilization of eating disorder related care (HLOC and outpatient treatment) and reported adherence to FBT and patient characteristics in a large integrated health system. METHODS: This retrospective cohort study examined 4101 adolescents who received care for restrictive eating disorders at Kaiser Permanente Northern California. A survey was sent to each medical center to identify treatment teams as high FBT adherence (hFBT) and low FBT adherence (lFBT). Outpatient medical and psychiatry encounters and HLOC, including medical hospitalizations and higher-level psychiatric care as well as patient characteristics were extracted from the EHR and examined over 12 months post-index. RESULTS: 2111 and 1990 adolescents were treated in the hFBT and lFBT, respectively. After adjusting for age, sex, race/ethnicity, initial percent median BMI, and comorbid mental health diagnoses, there were no differences in HLOC or outpatient utilization between hFBT and lFBT. Females had higher odds of any utilization compared with males. Compared to White adolescents, Latinos/Hispanics had lower odds of HLOC utilization. Asian, Black, and Latino/Hispanic adolescents had lower odds of psychiatric outpatient care than Whites. CONCLUSIONS: Reported FBT adherence was not associated with HLOC utilization in this sample. However, significant disparities across patient characteristics were found in the utilization of psychiatric care for eating disorders. More efforts are needed to understand treatment pathways that are accessible and effective for all populations with eating disorders.

Adolescents with restrictive eating treated by Family-Based Treatment (FBT) teams had better early weight gain but no differences in the use of intensive outpatient, residential, partial hospital programs or inpatient psychiatry care when compared to those treated by teams with a low adherence to the FBT approach. Factors such as sex, race, ethnicity, mood disorders, and suicidality were associated with the use of psychiatric services. These findings are consistent with previously documented systematic disparities in accessing psychiatric services across patient demographics and should be used to inform the development of proposed care models that are more inclusive and accessible to all patients.

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.

Telehealth Collaborative Care Led by Clinical Pharmacists for People With Psychosis or Bipolar Disorder: A Propensity Weighted Comparison With Usual Psychiatric Care.

Objective: People with psychosis or bipolar disorder (severe and persistent mental illness [SPMI]) are at high risk for poor psychiatric and chronic illness outcomes, which could be ameliorated through improved health care quality. This study assessed whether a telehealth, collaborative care program managed by psychiatric clinical pharmacists (SPMI Population Care) was associated with improved health care quality for adults with SPMI in a large California health system.Methods: This retrospective cohort study used electronic health record data to compare 968 program enrollees at 6 demonstration sites (Population Care) to 8,339 contemporaneous patients with SPMI at 6 non-program sites (Usual Care). SPMI diagnoses were based on ICD-10-CM diagnostic codes. Primary outcomes were optimal psychotropic medication adherence, guideline-recommended glycemic screening, annual psychiatrist visit, and emergency department use. Difference-in-difference analyses assessed change in outcomes from 12 months pre- to 12 months post-enrollment using overlap weighting with high dimensional propensity scores to balance participant characteristics across groups. Participant data were collected from January 1, 2020, to June 30, 2022.Results: From pre- to post-enrollment, Population Care was associated with greater achievement of psychotropic medication adherence and glycemic screening (+6 and +9 percentage points), but unexpectedly with a decrease in annual psychiatrist visits (-6 percentage points) and no significant change in emergency department use, relative to Usual Care. More than 75% of Population Care participants attended an intake and ≥ 1 follow-up visits. Participants with psychosis (26% of sample) had similar results as those with bipolar disorder.Conclusions: Clinical pharmacist-led telehealth collaborative care has potential to improve psychopharmacologic treatment adherence and recommended disease preventive screening for people with psychosis or bipolar disorder.

Cardiovascular Disease Risk Factor Control in People With and Without HIV.

BACKGROUND: Management of hypertension, dyslipidemia, diabetes and other modifiable factors may mitigate the cardiovascular disease (CVD) risk in people with human immunodeficiency virus (HIV, PWH) compared with people without HIV (PWoH). METHODS: This was a retrospective cohort study of 8285 PWH and 170 517 PWoH from an integrated health system. Risk factor control was measured using a novel disease management index (DMI) accounting for amount/duration above treatment goals (0% to 100% [perfect control]), including 2 DMIs for hypertension (diastolic and systolic blood pressure), 3 for dyslipidemia (low-density lipoprotein, total cholesterol, triglycerides), and 1 for diabetes (HbA1c). CVD risk by HIV status was evaluated overall and in subgroups defined by DMIs, smoking, alcohol use, and overweight/obesity in adjusted Cox proportional hazards models. RESULTS: PWH and PWoH had similar DMIs (80%-100%) except for triglycerides (worse for PWH) and HbA1c (better for PWH). In adjusted models, PWH had an elevated risk of CVD compared with PWoH (hazard ratio [HR], 1.18; 95% confidence interval [CI], 1.07-1.31). This association was attenuated in subgroups with controlled dyslipidemia and diabetes but remained elevated for PWH with controlled hypertension or higher total cholesterol. The strongest HIV status association with CVD was seen in the subgroup with frequent unhealthy alcohol use (HR, 2.13; 95% CI, 1.04-4.34). CONCLUSIONS: Control of dyslipidemia and diabetes, but not hypertension, attenuated the HIV status association with CVD. The strong association of HIV and CVD with frequent unhealthy alcohol use suggests enhanced screening and treatment of alcohol problems in PWH is warranted.

Stability of Suicide Risk Prediction Models During Changes in Health Care Delivery.

OBJECTIVE: The authors aimed to use health records data to examine how the accuracy of statistical models predicting self-harm or suicide changed between 2015 and 2019, as health systems implemented suicide prevention programs. METHODS: Data from four large health systems were used to identify specialty mental health visits by patients ages ≥11 years, assess 311 potential predictors of self-harm (including demographic characteristics, historical risk factors, and index visit characteristics), and ascertain fatal or nonfatal self-harm events over 90 days after each visit. New prediction models were developed with logistic regression with LASSO (least absolute shrinkage and selection operator) in random samples of visits (65%) from each calendar year and were validated in the remaining portion of the sample (35%). RESULTS: A model developed for visits from 2009 to mid-2015 showed similar classification performance and calibration accuracy in a new sample of about 13.1 million visits from late 2015 to 2019. Area under the receiver operating characteristic curve (AUC) ranged from 0.840 to 0.849 in the new sample, compared with 0.851 in the original sample. New models developed for each year for 2015-2019 had classification performance (AUC range 0.790-0.853), sensitivity, and positive predictive value similar to those of the previously developed model. Models selected similar predictors from 2015 to 2019, except for more frequent selection of depression questionnaire data in later years, when questionnaires were more frequently recorded. CONCLUSIONS: A self-harm prediction model developed with 2009-2015 visit data performed similarly when applied to 2015-2019 visits. New models did not yield superior performance or identify different predictors.

Development and validation of a machine learning model using electronic health records to predict trauma- and stressor-related psychiatric disorders after hospitalization with sepsis.

A significant minority of individuals develop trauma- and stressor-related disorders (TSRD) after surviving sepsis, a life-threatening immune response to infections. Accurate prediction of risk for TSRD can facilitate targeted early intervention strategies, but many existing models rely on research measures that are impractical to incorporate to standard emergency department workflows. To increase the feasibility of implementation, we developed models that predict TSRD in the year after survival from sepsis using only electronic health records from the hospitalization (n = 217,122 hospitalizations from 2012-2015). The optimal model was evaluated in a temporally independent prospective test sample (n = 128,783 hospitalizations from 2016-2017), where patients in the highest-risk decile accounted for nearly one-third of TSRD cases. Our approach demonstrates that risk for TSRD after sepsis can be stratified without additional assessment burden on clinicians and patients, which increases the likelihood of model implementation in hospital settings.

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.

Associations between Adverse Childhood Experiences (ACEs) and Prenatal Mental Health and Substance Use.

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.