Electroconvulsive Therapy Anesthetic Choice and Clinical Outcomes.

OBJECTIVE: Etomidate and methohexital are the 2 commonly used anesthetics for electroconvulsive therapy (ECT) in the United States. The objective of this study was to examine how anesthetic choice between etomidate and methohexital is associated with real-world clinical outcomes. METHODS: This naturalistic retrospective cohort study examined longitudinal electronic health records for 495 adult patients who received 2 or more ECT treatments from 2010 to 2019 in Kaiser Permanente North California, a large integrated health care system. Study outcomes included 12-month posttreatment depression remission as measured by the 9-item Patient Health Questionnaire, psychiatric and all-cause emergency department visits, and psychiatric and all-cause hospitalizations. RESULTS: Anesthetic choice was not significantly related to depression severity, emergency department visits, or psychiatric hospitalizations at 12 months after completing ECT. In exploratory analyses, we found that etomidate compared with methohexital was associated with higher rates of patient discomfort adverse effects-postictal agitation, phlebitis, and myoclonus (2.4% vs 0.4%; P < 0.001). CONCLUSIONS: We present the first large comparison of etomidate and methohexital as anesthetics for ECT and their associations with real-world outcomes. Our study showed no significant difference on depression remission, emergency department visits, or hospitalizations 12-months posttreatment. Thus, clinicians should focus on other patient or treatment characteristics when deciding on anesthetics for ECT. Further investigation is needed to confirm our exploratory findings that etomidate use was correlated with a higher rate of patient discomfort adverse effects relative to methohexital.

Do Youth Want Psychosocial Screenings in Diabetes Clinic? Profiles of Acceptability.

AIMS: Psychosocial screenings are recommended and increasingly common in pediatric subspecialty clinics, though little is known about their acceptability. This study seeks to uncover profiles of acceptability and assess demographic and clinical correlates among adolescents with diabetes. METHODS: A sample of 124 adolescents (57.7% female) ages 12-21 years (M = 16.2 ± 2.3) completed screenings during routine diabetes appointments. K-means clustering of responses to acceptability items derived profiles; Analysis of Variance (ANOVA) and Chi-square tests assessed correlates. RESULTS: Adolescents with the most common profile (72.6%) placed high importance on medical providers' awareness of their emotions and reported no difficulties/discomfort with the screener. These youth had moderate depressive symptoms, low diabetes distress, and low A1c. Those who fit a less common profile (18.5%) were uncomfortable with the screener and had the highest depressive symptoms and lowest A1c. Youth who fit a smaller profile (6.5%) endorsed technical difficulties and had high depressive symptoms and lowest diabetes distress. The smallest profile (2.4%, N = 3) had difficulty understanding and experienced discomfort with the screening and had the lowest depressive symptoms and the highest diabetes distress and A1c. These differences in depressive symptoms (F = 3.54, p = .017), A1c values (F = 4.03, p = .009), and diabetes distress (F = 3.27, p = .036) were significant though differences in age, gender, and diabetes duration were not. CONCLUSIONS: Most youth responded favorably to in-clinic psychosocial screenings. Youth who were less satisfied were at increased risk for psychosocial and medical complications. Findings highlight areas of need, such as enhanced support with and an emphasized rationale for screenings, which may improve patient experience in subspecialty care.

Engagement in perinatal depression treatment: a qualitative study of barriers across and within racial/ethnic groups.

BACKGROUND: To better understand previously observed racial/ethnic disparities in perinatal depression treatment rates we examined care engagement factors across and within race/ethnicity. METHODS: Obstetric patients and women's health clinician experts from a large healthcare system participated in this qualitative study. We conducted focus groups with 30 pregnant or postpartum women of Asian, Black, Latina, and White race/ethnicity with positive depression screens. Nine clinician experts in perinatal depression (obstetric, mental health, and primary care providers) were interviewed. A semi-structured format elicited treatment barriers, cultural factors, and helpful strategies. Discussion transcripts were coded using a general inductive approach with themes mapped to the Capability-Opportunity-Motivation-Behavior (COM-B) theoretical framework. RESULTS: Treatment barriers included social stigma, difficulties recognizing one's own depression, low understanding of treatment options, and lack of time for treatment. Distinct factors emerged for non-White women including culturally specific messages discouraging treatment, low social support, trauma history, and difficulty taking time off from work for treatment. Clinician factors included knowledge and skill handling perinatal depression, cultural competencies, and language barriers. Participants recommended better integration of mental health treatment with obstetric care, greater treatment convenience (e.g., telemedicine), and programmatic attention to cultural factors and social determinants of health. CONCLUSIONS: Women from diverse backgrounds with perinatal depression encounter individual-level, social, and clinician-related barriers to treatment engagement, necessitating care strategies that reduce stigma, offer convenience, and attend to cultural and economic factors. Our findings suggest the importance of intervention and policy approaches effecting change at multiple levels to increase perinatal depression treatment engagement.

Depression in context: Important considerations for youth with type 1 vs type 2 diabetes.

BACKGROUND: Youth with diabetes are at increased risk for depression. However, severity and correlates of depressive symptoms may differ by diabetes type. OBJECTIVE: Associations of depressive symptoms with global health, diabetes duration, and gender were compared between youth with type 1 and type 2 diabetes. METHODS: A sample of 149 youth ages 12 to 21 diagnosed with either type 1 (n = 122) or type 2 (n = 27) diabetes were screened during routine clinic appointments. Regression models were constructed to examine differences by diabetes type. RESULTS: Adolescents with type 2 diabetes had significantly higher depressive symptom scores (4.89 vs 2.99, P = .025) than those with type 1 diabetes. A significant interaction between global health and diabetes type on depressive symptoms revealed inverse associations between global health and depressive symptoms that was stronger among youth with type 2 diabetes (ß = -.98, P < .001) than type 1 (ß = -.48, P < .001). Further probing revealed that among youth with better global health, adolescents with type 1 had more depressive symptoms than those with type 2 diabetes (ß = .33, P = .035). Diabetes duration and depressive symptoms were positively associated among individuals with type 2 (ß = .86, P = .043), but not type 1 diabetes. No gender differences were detected. CONCLUSION: These findings suggest that correlates of depressive symptoms in youth with diabetes differ by diabetes type. Global health appears to be an important correlate among youth with both types, whereas diabetes duration was only a significant factor among those with type 2 diabetes. The current findings can inform future psychosocial intervention efforts within both these populations.

Assessing strengths of children with type 1 diabetes: Validation of the Diabetes Strengths and Resilience (DSTAR) measure for ages 9 to 13.

BACKGROUND: Adaptive diabetes-specific attitudes and behaviors, known as diabetes strengths, relate to positive self-management and quality of life outcomes in type 1 diabetes (T1D), but have not been studied in preadolescence. To facilitate strengths-based care and research on this topic, we developed and evaluated the psychometric properties of a measure of diabetes strengths for children age 9 to 13. METHODS: Participants were 187 children receiving care for T1D at a tertiary care children's hospital. They completed the 12-item self-report Diabetes Strengths and Resilience scale for children (DSTAR-Child), which we adapted from a measure validated for adolescents. Youth completed the DSTAR-Child twice, and measures of relevant constructs at baseline: general and diabetes-related quality of life, depressive symptoms, and diabetes distress. Parents rated children's engagement in self-management behaviors and general resilience. We extracted HbA1c from the medical record. RESULTS: The DSTAR-Child total score demonstrated reliability, including internal consistency and stability across two time points. The total score was significantly associated in expected directions with psychosocial measures and glycemic control but not self-management behaviors. In confirmatory factor analyses, the best-fitting structure contained two latent factors tapping intrapersonal and interpersonal strengths. Resulting subscale scores also appeared reliable and valid. CONCLUSIONS: This brief, practical measure of diabetes strengths demonstrated sound psychometric properties. Diabetes strengths appeared unrelated to self-management behaviors, perhaps because of the primary role of adult caregivers in T1D management for preadolescents. As a research and clinical tool, the DSTAR-Child can facilitate greater understanding of diabetes strengths and inform strengths-based strategies to foster resilient T1D outcomes.

Barriers and facilitators to healthy eating among low-income Latino adolescents.

OBJECTIVE: The objective of this study was to explore barriers and facilitators to healthy eating among low-income Latino adolescents using an intervention development framework. METHODS: Semi-structured interviews (n = 30) were conducted with Latino youth ages 13-17 who had overweight or obesity at a safety-net clinic in San Francisco, CA. Adolescent beliefs and attitudes regarding healthy eating and individual, family, and community level barriers and facilitators were elicited. Interviews were analyzed using an inductive approach and the Capability-Opportunity-Motivation (COM-B) model. RESULTS: Participants had capability gaps; while they demonstrated basic nutrition knowledge, they also held significant misconceptions about healthy eating, equating "organic" with healthy and failing to recognize sugar in a number of beverages and foods. Families were a source of support through role modeling and purchasing fresh produce, yet in many cases also undermined adolescents' healthy eating goals through purchases of high calorie low nutrient food, an opportunity facilitator and challenge. By contrast, peers were mostly a negative influence due to frequent consumption of high calorie low nutrient food. The school environment posed opportunity challenges as participants found school lunch unpalatable and had ready access to unhealthy options nearby. Participants were motivated to improve their eating habits but often not resilient in the face of obstacles. CONCLUSIONS: Interventions to promote healthy eating among low-income Latino adolescents should address common nutritional misconceptions, target families as well as teens, consider peer influences, and advocate for policy approaches that improve the school food environment.

The Diabetes Strengths and Resilience Measure for Adolescents With Type 1 Diabetes (DSTAR-Teen): Validation of a New, Brief Self-Report Measure.

Objective: Despite the challenges of managing type 1 diabetes, many adolescents achieve optimal outcomes. A validated measure of diabetes-specific strengths is needed to measure adaptive behaviors and attitudes associated with overcoming challenges and achieving "resilient" outcomes. Methods: Baseline data from 260 adolescents (age 14-18 years, M = 15.7 ± 1.1, 60% female, 33% Non-Caucasian, M A1c = 9.1 ± 1.9%) and caregivers in a behavioral intervention trial were analyzed to evaluate psychometric properties of the 12-item self-report Diabetes Strengths and Resilience measure for adolescents (DSTAR-Teen). Reliability and validity were examined in relation to measures of related constructs, regimen adherence, and glycemic outcomes, and confirmatory factor analysis was conducted. Results: Reliability was good (internal consistency: α = .89; item-total correlations: r range = .55-.78). Significant correlations demonstrated construct and criterion validity. A two-factor structure reflecting intrapersonal and interpersonal processes fit the data better than a one-factor solution. Conclusions: The DSTAR-Teen has strong psychometric properties, captures adaptive aspects of adolescents' diabetes management (i.e., "strengths"), and is related to clinical outcomes.

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.

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.

Intentions to Use Cannabis Postpartum: A Qualitative Study of Pregnant Individuals Who Used Cannabis During Early Pregnancy.

Objective: To examine plans for postpartum cannabis use among pregnant individuals who used cannabis during early pregnancy. Materials and Methods: Eighteen virtual focus groups were conducted from November 17, 2021, to December 17, 2021, with 23 Black and 30 White pregnant adults in Kaiser Permanente Northern California, who self-reported prenatal cannabis use during early pregnancy. Focus groups were recorded, transcribed, and analyzed using thematic analysis. Results: The sample (N = 53) had a mean age of 30.3 years (standard deviation = 5.2) at recruitment; 70% reported daily, 25% weekly, and 6% ≤ monthly cannabis use at entrance to prenatal care. Some participants viewed cannabis as critical for coping with postpartum mental and physical health challenges, while others questioned whether cannabis use would fit with their parental lifestyle, and some planned to abstain altogether. Most planned to use cannabis postpartum, but with lower frequency than before pregnancy, and in ways consistent with harm reduction (e.g., smoking outside to avoid secondhand or thirdhand smoke exposure). Many were motivated to abstain from cannabis while breastfeeding, and some desired more data on the safety of cannabis and breastfeeding, or intended to "pump and dump," believing it would reduce potential transfer of Δ9-tetrahydrocannabinol (THC) to their infant. Responses from Black and White participants were generally similar, but White participants were more likely to report plans to use cannabis while breastfeeding and to want information about cannabis and breastfeeding. Conclusions: Pregnant individuals with prenatal cannabis use had varied plans for cannabis use postpartum. Many were motivated to abstain or use cannabis less frequently than pre-pregnancy, especially during lactation.

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.

Serious Mental Illness, Glycemic Control, and Neighborhood Factors within an Urban Diabetes Cohort.

BACKGROUND AND HYPOTHESIS: Serious mental illness (SMI) may compromise diabetes self-management. This study assessed the association between SMI and glycemic control, and explored sociodemographic predictors and geographic clustering of this outcome among patients with and without SMI. STUDY DESIGN: We used electronic health record data for adult primary care patients with diabetes from 2 San Francisco health care delivery systems. The primary outcome was poor glycemic control (hemoglobin A1c >9.0%), which was modeled on SMI diagnosis status and sociodemographics. Geospatial analyses examined hotspots of poor glycemic control and neighborhood characteristics. STUDY RESULTS: The study included 11 694 participants with diabetes, 21% with comorbid SMI, of whom 22% had a schizophrenia spectrum or bipolar disorder. Median age was 62 years; 52% were female and 79% were Asian, Black, or Hispanic. In adjusted models, having schizophrenia spectrum disorder or bipolar disorder was associated with greater risk for poor glycemic control (vs participants without SMI, adjusted relative risk [aRR] = 1.24; 95% confidence interval, 1.02, 1.49), but having broadly defined SMI was not. People with and without SMI had similar sociodemographic correlates of poor glycemic control including younger versus older age, Hispanic versus non-Hispanic White race/ethnicity, and English versus Chinese language preference. Hotspots for poor glycemic control were found in neighborhoods with more lower-income, Hispanic, and Black residents. CONCLUSIONS: Poor diabetes control was significantly related to having a schizophrenia spectrum or bipolar disorder, and to sociodemographic factors and neighborhood. Community-based mental health clinics in hotspots could be targets for implementation of diabetes management services.

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.

Racial-Ethnic Differences in Treatment Initiation for New Diagnoses of Perinatal Depression.

OBJECTIVE: The adverse consequences of untreated perinatal depression highlight the need to identify populations to target in order to increase treatment rates. The authors sought to evaluate treatment initiation for a new diagnosis of depression during pregnancy or postpartum and to describe racial-ethnic differences in initiation and type (psychotherapy, antidepressants) of treatment in a large health care system with universal perinatal depression screening. METHODS: This retrospective cohort study included women who delivered a live birth in the Kaiser Permanente Northern California system between October 2012 and May 2017. Black, Latina, Asian, and White women ages ≥15 years were eligible. New depression diagnoses were defined by using ICD-9 and ICD-10 codes from electronic health records. Treatment initiation was defined as receiving at least one antidepressant medication dispensation or psychotherapy visit up to 90 days after the diagnosis. Modified Poisson regression was used to estimate the risk for initiating treatment and the type of treatment initiated. RESULTS: In total, 13,637 women with a new depression diagnosis (prenatal: N=7,041, 51.6%; postpartum: N=6,596, 48.4%) were identified. Of the pregnant women, 31.4% initiated treatment, and of the postpartum women, 73.1% initiated treatment. Latina and Asian women were less likely than White women to initiate treatment postpartum. During pregnancy and postpartum, non-White women were more likely to initiate psychotherapy. White women were more likely to initiate antidepressant medication during pregnancy and postpartum or a combination of antidepressant medication and psychotherapy during the postpartum period. CONCLUSIONS: Research is warranted to identify patient-, provider-, and system-level barriers that contribute to racial-ethnic disparities in perinatal mental health care.

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.

Exploring preferences for different modes of cannabis use during early pregnancy: A qualitative study.

OBJECTIVE: Rates of prenatal cannabis use are rising, yet little is known about modes of cannabis use during pregnancy. This focus group study with pregnant individuals aimed to examine use patterns and perceptions regarding common modes of prenatal cannabis use. METHOD: Kaiser Permanente Northern California pregnant adult patients who identified as White or Black and self-reported cannabis use during pregnancy were recruited to participate (N = 53; 40% Black, 60% White; Meanage = 30.3, SD = 5.2). Eighteen focus groups with race-concordant facilitators followed a semi-structured format that queried participants on their prenatal cannabis use, including preferred modes of use (e.g., vapes, blunts, dabs, joints, edibles, topicals, pipes). Focus group discussions were coded and analyzed using a general inductive approach. RESULTS: A range of modes were preferred, with no single mode predominant. Participants' preferences aligned with four themes: perceived effects and benefits of cannabis, health and safety, convenience and familiarity, and partner and friend influences. Participants sought modes that were accessible and familiar, provided consistent and quick relief for pregnancy-related symptoms, were aligned with partners or friends, and minimized perceived risks while also providing symptom relief. Participants desired evidence-based information about mode safety to better inform mode selection during pregnancy. CONCLUSIONS: A range of personal and social factors influenced mode preferences during pregnancy. Many participants desired to reduce harms and use cannabis more safely in pregnancy but received little mode-specific information to guide these preferences. Further research identifying mode-specific risks is needed to guide harm reduction approaches during pregnancy.

Patient Perceptions of Prenatal Cannabis Use and Implications for Clinicians.

OBJECTIVE: To understand pregnant patients' reasons for prenatal cannabis use and perceptions of safety, desired and undesirable health care experiences, and desired information about prenatal cannabis use and secondarily to understand racial differences in these perceptions and preferences. METHODS: We conducted a qualitative study including 18 semi-structured, race-concordant virtual focus groups with pregnant individuals who self-reported cannabis use at prenatal care entry in a large integrated health care system in Northern California from November 2021 to December 2021. The focus groups included semi-structured questions that were recorded, transcribed, and coded by the research team. Thematic analysis was used to analyze the data. RESULTS: Overall, 53 participants were included; 30 self-identified, as White and 23 self-identified as Black. Participants averaged 30.3 years of age (SD 5.2 years) and were on average at 20.9 weeks of gestation at study enrollment; 69.8% reported daily cannabis use, 24.5% reported weekly cannabis use, and 5.7% reported monthly or less cannabis use at entrance to prenatal care. Although some participants quit cannabis use in early pregnancy because of concerns about potential health risks, many perceived a lack of scientific evidence or believed that prenatal cannabis use was safe. Many preferred cannabis to over-the-counter or prescription medications for treating mood, morning sickness, pain, and sleep. Participants valued open interactions with obstetricians that acknowledged their motivations for use, and they desired information about potential risks through conversations and educational materials. White and Black participants' perspectives were generally similar, but a few Black participants uniquely described concerns about racial bias related to their prenatal cannabis use. CONCLUSION: Pregnant patients used cannabis to manage mood and medical symptoms, and many believed that prenatal cannabis use was safer than the use of prescription medications. Obstetrician-initiated, patient-centered conversations around prenatal cannabis use, advice to discontinue cannabis use during pregnancy, and exploration of willingness to switch to medically recommended interventions for pregnancy-related symptoms may benefit patients.

Pregnant individual's lived experience of cannabis use during the COVID-19 pandemic: a qualitative study.

Introduction: Quantitative studies indicate that the COVID-19 pandemic has contributed to increased rates of prenatal cannabis use. However, little is known about how the pandemic has impacted cannabis use from the perspective of pregnant individuals themselves. Our objective was to characterize COVID-19-related changes in cannabis use among pregnant individuals who used cannabis during the pandemic. Methods: We conducted 18 focus groups (from 11/17/2021 to 12/17/2021) with Black and White pregnant individuals aged 18+ who self-reported prenatal cannabis use during universal screening at entrance to prenatal care (at ~8 weeks gestation) in Kaiser Permanente Northern California. Virtual focus groups were transcribed and analyzed using thematic analysis. Results: The sample of 53 pregnant individuals (23 Black, 30 White) was 30.3 years old (SD = 5.2) on average, and most (70%) self-reported daily versus weekly or monthly prenatal cannabis use. Major themes regarding the impact of the pandemic on cannabis use included increases in use (resulting from depression, anxiety, stress, boredom), and changes in social use (less sharing of smoked cannabis products), modes of use (from smoking to other modes due to respiratory concerns) and source (from storefront retailers to delivery). Conclusion: Coping with mental health symptoms and stress were identified drivers of perceived pandemic-related increases in prenatal cannabis use in 2021. Pregnant individuals adapted their use in ways consistent with public health recommendations to decrease social contact and reduce or quit smoking to mitigate COVID-19 transmission and harms. Proactive, mental health outreach for pregnant individuals during future pandemic waves may reduce prenatal cannabis use.

Expanding the use of patient-reported outcomes (PROs): Screening youth with type 1 diabetes from underrepresented populations.

AIM: Youth from lower socioeconomic status (SES) have suboptimal type 1 diabetes (T1D) outcomes. Patient reported outcomes (PROs) measure psychosocial states and are associated with T1D outcomes, however are understudied in low SES youth. We aimed to evaluate associations between PROs and public insurance status, a proxy for low SES. METHODS: We analyzed survey data from 129 youth with T1D (age 15.7 ± 2.3 years, 33 % publicly insured) screened with PROMIS Global Health (PGH, measuring global health) and Patient Health Questionnaire (PHQ-9, measuring depressive symptoms) during diabetes appointments. Correlation and regression analyses evaluated differences in PGH and PHQ-9 by insurance status. RESULTS: For youth with public insurance, lower global health correlated with lower self-monitoring blood glucose (SMBG; r = 0.38,p = 0.033) and older age (r = -0.45,p = 0.005). In youth with private insurance, lower global health correlated with lower SMBG (r = 0.27,p = 0.018) and female sex (rho = 0.26,p = 0.015). For youth with private insurance, higher depressive symptoms correlated with higher body mass index (r = 0.22,p = 0.03) and fewer SMBG (r = -0.35,p = 0.04). In multivariate regression analyses, public insurance was inversely associated with global health (p = 0.027). CONCLUSION: PGH is a particularly salient PRO in youth with public insurance. Global health may be an important psychosocial factor to assess in youth with T1D from low SES backgrounds.