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.

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.

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.

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.

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.

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.

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.

Cardiometabolic Monitoring and Sociodemographic and Clinical Characteristics of Youths Prescribed Antipsychotic Medications.

OBJECTIVE: This study examined time trends and patient characteristics related to guideline-recommended cardiometabolic risk factor monitoring among youths treated with antipsychotic medications. METHODS: This observational study assessed participant sociodemographic and clinical characteristics and year of antipsychotic medication initiation, with receipt of glycemic and lipid testing within 2 years of initiation as the primary outcome. Electronic health records and pharmacy data from Kaiser Permanente Northern California for 4,568 youths (ages 10-21 years) who began antipsychotic medication treatment during 2013-2017 were included. RESULTS: Mean±SD age of the sample was 17.0±3.0 years, 52% were male, and 50% were Asian American, Native Hawaiian, or Pacific Islander; Black; Latino; or another or unknown race-ethnicity. Overall, 54% of the sample completed glycemic and lipid monitoring within 2 years of medication initiation (41% within 1 year). With each study year, monitoring rates increased by 5% in this cohort, after the analyses were adjusted for participant factors (p=0.001). In the fully adjusted analysis, youths with a psychotic disorder were 23% more likely to receive cardiometabolic monitoring than those without a psychotic disorder or bipolar disorder (p<0.001). Monitoring was also more common among younger versus older adolescents and among those with risperidone (vs. quetiapine) medication, obesity, or more frequent use of outpatient health care. Youths with (vs. without) substance use disorder were 19% less likely to complete monitoring (p<0.001). CONCLUSIONS: Cardiometabolic monitoring increased modestly over time, but close to half of the studied youths did not receive glycemic or lipid testing. Additional clinical strategies may be needed to increase monitoring overall and among harder-to-reach youth subgroups.

Cannabis Use for Medical Reasons Among Patients in a Large California Health Care System After Legalization of Nonmedical Use.

OBJECTIVE: In 2018, California legalized the sale of cannabis for adult nonmedical use. To understand use of cannabis after legalization, we surveyed a stratified random sample of adults in a large health system (ages 19-64 years) with and without documented chronic pain about their reasons for cannabis use from November 2018 to March 2019. METHOD: We compared patients with and without chronic pain on measures for medical, nonmedical, pain-related, and mental health-related cannabis use based on self-reported symptoms. RESULTS: Patients with chronic pain reported higher past-year medical use (34.6%) compared to patients without chronic pain (22.8%), past-year pain-related use (29.7% vs. 15.5%), and past-year mental health-related use (24.8% vs. 18.9%). In adjusted models, relative to patients without chronic pain, those with chronic pain had a 6.2% (95% CI [0.010, 0.11]) higher probability of past-year medical cannabis use and an 8.0% (95% CI [0.035, 0.13]) higher probability of past-year pain-related cannabis use. CONCLUSIONS: Compared to patients without chronic pain, patients with chronic pain were more likely to use cannabis for reasons related to medical and pain symptoms in the past year. Use for past-year mental health symptoms did not differ between these two groups. Cannabis use among patients with and without chronic pain is common after legalization for nonmedical use, and understanding reasons for use is important to improve overall patient care.

Influenza Vaccination Uptake and Associated Factors Among Adults With and Without Human Immunodeficiency Virus in a Large, Integrated Healthcare System.

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

Performance of a Prediction Model of Suicide Attempts Across Race and Ethnicity.

This study examines whether race disparities exist in the prediction of suicide attempts and if have they have detrimental effects on individuals and health care systems.

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.

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.