Associations between vaping and daily cigarette consumption among individuals with psychological distress.

INTRODUCTION: Individuals with behavioral health conditions smoke at significantly higher rates and have been resistant to existing smoking cessation efforts. A clearer understanding of associations between vaping and daily cigarette consumption in this vulnerable population is warranted. METHODS: We analyzed data from the 2014-2018 National Health Interview Survey (NHIS) to examine whether vaping was associated with differences in number of cigarettes smoked per day (CPD) among adults who smoke daily and have varying levels of psychological distress. RESULTS: After adjustment for sociodemographic covariates, individuals who vaped every day smoked on average 1.48 fewer cigarettes per day than individuals who never vaped (p<0.01), while individuals who vaped some days and individuals who ever but no longer vaped smoked 0.77 and 1.48 more CPD, respectively, than individuals who never vaped. Differences between those who vaped every day and those who never vaped were even greater among those with moderate psychological distress (-2.21 CPD, p<0.01). CONCLUSIONS: Our findings suggest that use of vaping devices may be associated with lower daily cigarette use among individuals with psychological distress, potentially supporting smoking harm reduction efforts.

Disproportionate increase in cannabis use among people with serious psychological distress and associations with psychiatric service use in the United States, 2009-2019.

BACKGROUND: Cannabis use is on the rise, but it is unclear how use is changing among individuals with serious psychological distress (SPD) compared to the general population as well as what associations this may have with mental health service use. METHODS: Retrospective cohort study using the National Survey on Drug Use and Health (NSDUH) 2009-19 public use files of 447,228 adults aged ≥ 18 years. Multivariable logistic regression and predictive margin methods were used to estimate linear time trends in any and greater-than-weekly levels of cannabis use by year and SPD status and rates of psychiatric hospitalization and outpatient mental health care. FINDINGS: Rates of any and weekly-plus cannabis use increased similarly among individuals with SPD compared to those without from 200 to 2014 but more rapidly in SPD every year from 2015 to 2019 (p < 0.001). Among individuals with SPD, no use was associated with a 4.2 % probability of psychiatric hospitalization, significantly less than less-than-weekly (5.0 %, p = 0.037) and weekly-plus cannabis use (5.1 %, p = 0.028). For outpatient mental health care, no use was associated with a 27.4 % probability (95 % CI 26.7-28.1 %) of any outpatient care, significantly less than less than weekly use (32.6 % probability, p < 0.001) and weekly-plus use (29.9 % probability, p = 0.01). CONCLUSIONS: Cannabis use is increasing more rapidly among individuals with SPD than the general population, and is associated with increased rates of psychiatric hospitalization and outpatient service use. These findings can inform policy makers looking to tailor regulations on advertising for cannabis and develop public health messaging on cannabis use by people with mental illness.

PERSPECTIVE: A Fireside Chat about Global Mental Health with Dr. Esther Duflo, Nobel Laureate in Economics.

Dr. Esther Duflo, Nobel Laureate in Economics, and co-founder and co-director of the Abdul Latif Jameel Poverty Action Lab (J-PAL) sat down with Dr. Benjamin Cook for a "fireside chat" at the 12th National Institute of Mental Health Global Mental Health Research Without Borders Conference. Dr. Duflo discussed J-PAL's efforts to develop and test interventions for improving mental health and how cash transfer programs can be used to improve mental health. She also discussed the importance of using randomized control trials (RCTs) in shaping global mental health initiatives. Dr. Duflo shared insights from projects addressing loneliness among older individuals in India, secondary school scholarships in Ghana, and other studies that have informed social policies. Looking forward, she discusses climate change as a threat to the reductions in poverty realized in the last 30 years and encourages the expansion of networks of research and policy collaborations to improve global health.

Oral Health Screening by MassHealth Accountable Care Organizations: An opportunity for equity-focused interventions.

Establishing reliable access to dental services for publicly insured patients is an important part of achieving equitable oral health care. In 2023, an oral health screening requirement was added to the MassHealth Accountable Care Organization contract, which has the capacity to affect over 1.3 million members enrolled in MassHealth Accountable Care Organizations throughout the state. The goal of the oral health screening requirement is to identify MassHealth-insured patients who do not have reliable access to dental services and to provide them with resources to establish a dental home with a MassHealth-participating dentist. Primary care providers were surveyed, and results indicate a need for a care coordination mechanism to assist MassHealth-insured patients with establishing a dental home, in addition to an option to request telehealth-enabled and/or urgent dental appointments. This report describes the oral health screening program at one MassHealth Accountable Care Organization and presents some of the data collected during the first year of its implementation, in addition to discussing how this data is being used to guide equity-focused interventions with the potential for policy implications.

Collaborative Care for Depression and Anxiety: Racial-Ethnic Differences in Treatment Engagement and Outcomes.

OBJECTIVE: This study aimed to examine racial-ethnic differences in engagement with and clinical outcomes of a collaborative care model (CoCM) implemented in primary care outpatient clinics in an urban academic medical center. METHODS: Adult patients (N=4,911) who screened positive for symptoms of depression, anxiety, or both on the Patient Health Questionnaire-9 or the Generalized Anxiety Disorder-7 scale and who identified as non-Hispanic Black, Hispanic, or non-Hispanic White were offered participation in a CoCM implementation. The primary outcome was treatment engagement, defined as receipt of any follow-up visit, minimally adequate 4-week follow-up (at least one visit), and minimally adequate 16-week follow-up (at least three visits) after initial assessment. Secondary outcomes were response and remission of depression or anxiety. RESULTS: After adjustment of analyses for sociodemographic covariates, Black and Hispanic participants were significantly less likely than White participants to have received any or minimally adequate follow-up. Black and Hispanic participants who received any or minimally adequate 16-week follow-up were more likely than White participants to demonstrate depression symptom response and remission of anxiety symptoms. CONCLUSIONS: This CoCM implementation appears to have been effective in treating depression and anxiety among Black and Hispanic patients. However, significant disparities in receipt of follow-up care were observed. Efforts must be made to improve the retention of patients from racial-ethnic minority groups in collaborative care.

Share of Adult Suicides After Recent Jail Release.

Importance: Although people released from jail have an elevated suicide risk, the potentially large proportion of this population in all adult suicides is unknown. Objective: To estimate what percentage of adults who died by suicide within 1 year or 2 years after jail release could be reached if the jail release triggered community suicide risk screening and prevention efforts. Design, Setting, and Participants: This cohort modeling study used estimates from meta-analyses and jail census counts instead of unit record data. The cohort included all adults who were released from US jails in 2019. Data analysis and calculations were performed between June 2021 and February 2024. Main Outcomes and Measures: The outcomes were percentage of total adult suicides within years 1 and 2 after jail release and associated crude mortality rates (CMRs), standardized mortality ratios (SMRs), and relative risks (RRs) of suicide in incarcerated vs not recently incarcerated adults. Taylor expansion formulas were used to calculate the variances of CMRs, SMRs, and other ratios. Random-effects restricted maximum likelihood meta-analyses were used to estimate suicide SMRs in postrelease years 1 and 2 from 10 jurisdictions. Alternate estimate was computed using the ratio of suicides after release to suicides while incarcerated. Results: Included in the analysis were 2019 estimates for 7 091 897 adults (2.8% of US adult population; 76.7% males and 23.3% females) who were released from incarceration at least once, typically after brief pretrial stays. The RR of suicide was 8.95 (95% CI, 7.21-10.69) within 1 year after jail release and 6.98 (95% CI, 4.21-9.76) across 2 years after release. A total of 27.2% (95% CI, 18.0%-41.7%) of all adult suicide deaths occurred in formerly incarcerated individuals within 2 years of jail release, and 19.9% (95% CI, 16.2%-24.1%) of all adult suicides occurred within 1 year of release (males: 23.3% [95% CI, 20.8%-25.6%]; females: 24.0% [95% CI, 19.7%-36.8%]). The alternate method yielded slightly larger estimates. Another 0.8% of adult suicide deaths occurred during jail stays. Conclusions and Relevance: This cohort modeling study found that adults who were released from incarceration at least once make up a large, concentrated population at greatly elevated risk for death by suicide; therefore, suicide prevention efforts focused on return to the community after jail release could reach many adults within 1 to 2 years of jail release, when suicide is likely to occur. Health systems could develop infrastructure to identify these high-risk adults and provide community-based suicide screening and prevention.

Self-Pay Outpatient Mental Health Care for Children and Adolescents, by Socioeconomic Status.

OBJECTIVE: Many parents struggle to find mental health care for their children, and many mental health clinicians do not accept insurance payments. The authors aimed to estimate the frequency and cost of self-pay psychotherapy and psychotropic medication management visits for youths and to determine how service use varies by family income. METHODS: A descriptive cross-sectional analysis was performed among youths ages 5-17 years in the 2018-2020 Medical Expenditure Panel Survey. Specialist visits included those with psychiatrists, psychologists, social workers, and mental health counselors or family therapists. RESULTS: Approximately one in five of 13,639 outpatient mental health specialist visits were self-pay, with psychologists (23% of visits) and social workers (24% of visits) most likely to see youths on a self-pay basis. Use of self-pay care was strongly associated with higher income, but even families earning <$28,000 per year utilized some self-pay care, at a median cost of $95 per visit. Self-pay visits were associated with slightly lower clinical need than insurance-covered visits, although this measure varied by income. CONCLUSIONS: The self-pay market for child mental health care potentially exacerbates inequities in access to care by burdening low-income families with high costs. Incentivizing mental health providers to participate in insurance for larger portions of their patient panels, for example, by increasing reimbursement rates and reducing paperwork, may help improve equitable access to mental health care. To the extent that reimbursement rates drive insurance acceptance, the frequency of self-pay mental health visits suggests that mental health services are underreimbursed relative to their benefit to patients and families.

Racial and Ethnic Differences in Telemedicine Use.

Importance: Individuals of racial and ethnic minority groups may be less likely to use telemedicine in part due to lack of access to technology (ie, digital divide). To date, some studies have found less telemedicine use by individuals of racial and ethnic minority groups compared with White individuals, and others have found the opposite. What explains these different findings is unclear. Objective: To quantify racial and ethnic differences in the receipt of telemedicine and total visits with and without accounting for demographic and clinical characteristics and geography. Design, Setting, and Participants: This cross-sectional study included individuals who were continuously enrolled in traditional Medicare from March 2020 to February 2022 or until death. Exposure: Race and ethnicity, which was categorized as Black non-Hispanic, Hispanic, White non-Hispanic, other (defined as American Indian/Pacific Islander, Alaska Native, and Asian), and unknown/missing. Main Outcomes and Measures: Total telemedicine visits (audio-video or audio); total visits (telemedicine or in-person) per individual during the study period. Multivariable models were used that sequentially adjusted for demographic and clinical characteristics and geographic area to examine their association with differences in telemedicine and total visit utilization by documented race and ethnicity. Results: In this national sample of 14 305 819 individuals, 7.4% reported that they were Black, 5.6% Hispanic, and 4.2% other race. In unadjusted results, compared with White individuals, Black individuals, Hispanic individuals, and individuals of other racial groups had 16.7 (95% CI, 16.1-17.3), 32.9 (95% CI, 32.3-33.6), and 20.9 (95% CI, 20.2-21.7) more telemedicine visits per 100 beneficiaries, respectively. After adjustment for clinical and demographic characteristics and geography, compared with White individuals, Black individuals, Hispanic individuals, and individuals of other racial groups had 7.9 (95% CI, -8.5 to -7.3), 13.2 (95% CI, -13.9 to -12.6), and 9.2 (95% CI, -10.0 to -8.5) fewer telemedicine visits per 100 beneficiaries, respectively. In unadjusted and fully adjusted models, and in 2019 and the second year of the COVID-19 pandemic, Black individuals, Hispanic individuals, and individuals of other racial groups continued to have fewer total visits than White individuals. Conclusions and Relevance: The results of this cross-sectional study of US Medicare enrollees suggest that although nationally, Black individuals, Hispanic individuals, and individuals of other racial groups received more telemedicine visits during the pandemic and disproportionately lived in geographic regions with higher telemedicine use, after controlling for geographic region, Black individuals, Hispanic individuals, and individuals of other racial groups received fewer telemedicine visits than White individuals.

Association between electronic nicotine product use and subsequent first episode psychosis.

Tobacco use has been established as a possible risk factor for psychosis, but the effect of electronic nicotine delivery systems (ex. nicotine vapes) has not been independently established. Using the Population Assessment of Tobacco and Health study, we found that use of electronic nicotine products was significantly associated with later first episode psychosis after controlling for substance use and other confounders, and that this relationship was only significant among the heaviest users (>20 puffs/day). Given the rapid rise in electronic nicotine products use, clinicians and public health professionals should consider potential impacts and closely monitor trends in the coming years.

Health Care Spending, Use, and Financial Hardship Among Traditional Medicare and Medicare Advantage Enrollees With Mental Health Symptoms.

OBJECTIVE: We examined the differences in health care spending and utilization, and financial hardship between Traditional Medicare (TM) and Medicare Advantage (MA) enrollees with mental health symptoms. DESIGN: Cross-sectional study. PARTICIPANTS: We identified Medicare beneficiaries with mental health symptoms using the Patient Health Questionnaire-2 and the Kessler-6 Psychological Distress Scale in the 2015-2021 Medical Expenditure Panel Survey. MEASUREMENTS: Outcomes included health care spending and utilization (both general and mental health services), and financial hardship. The primary independent variable was MA enrollment. RESULTS: MA enrollees with mental health symptoms were 2.3 percentage points (95% CI: -3.4, -1.2; relative difference: 16.1%) less likely to have specialty mental health visits than TM enrollees with mental health symptoms. There were no significant differences in total health care spending, but annual out-of-pocket spending was $292 (95% CI: 152-432; 18.2%) higher among MA enrollees with mental health symptoms than TM enrollees with mental health symptoms. Additionally, MA enrollees with mental health symptoms were 5.0 (95% CI: 2.9-7.2; 22.3%) and 2.5 percentage points (95% CI: 0.8-4.2; 20.9%) more likely to have difficulty paying medical bills over time and to experience high financial burden than TM enrollees with mental health symptoms. CONCLUSION: Our findings suggest that MA enrollees with mental health symptoms were more likely to experience limited access to mental health services and high financial hardship compared to TM enrollees with mental health symptoms. There is a need to develop policies aimed at improving access to mental health services while reducing financial burden for MA enrollees.

Social Risk Factors and Racial and Ethnic Disparities in Health Care Resource Utilization Among Medicare Advantage Beneficiaries With Psychiatric Disorders.

The intersection of social risk and race and ethnicity on mental health care utilization is understudied. This study examined disparities in health care treatment, adjusting for clinical need, among 25,780 Medicare Advantage beneficiaries with a diagnosis of a psychiatric disorder. We assessed contributions to disparities from racial and ethnic differences in the composition and returns of social risk variables. Black and Hispanic beneficiaries had lower rates of mental health outpatient visits than Whites. Assessing composition, Black and Hispanic beneficiaries experienced greater financial, food, and housing insecurity than White beneficiaries, factors associated with greater mental health treatment. Assessing returns, food insecurity was associated with an exacerbation of Hispanic-White disparities. Health care systems need to address the financial, food and housing insecurity of racial and ethnic minority groups with psychiatric disorder. Accounting for racial and ethnic differences in social risk adjustment-based payment reforms has significant implications for provider reimbursement and outcomes.

Acceptability and Feasibility of a Smartphone-Based Real-Time Assessment of Suicide Among Black Men: Mixed Methods Pilot Study.

BACKGROUND: Suicide rates in the United States have increased recently among Black men. To address this public health crisis, smartphone-based ecological momentary assessment (EMA) platforms are a promising way to collect dynamic, real-time data that can help improve suicide prevention efforts. Despite the promise of this methodology, little is known about its suitability in detecting experiences related to suicidal thoughts and behavior (STB) among Black men. OBJECTIVE: This study aims to clarify the acceptability and feasibility of using smartphone-based EMA through a pilot study that assesses the user experience among Black men. METHODS: We recruited Black men aged 18 years and older using the MyChart patient portal messaging (the patient-facing side of the Epic electronic medical record system) or outpatient provider referrals. Eligible participants self-identified as Black men with a previous history of STB and ownership of an Android or iOS smartphone. Eligible participants completed a 7-day smartphone-based EMA study. They received a prompt 4 times per day to complete a brief survey detailing their STB, as well as proximal risk factors, such as depression, social isolation, and feeling like a burden to others. At the conclusion of each day, participants also received a daily diary survey detailing their sleep quality and their daily experiences of everyday discrimination. Participants completed a semistructured exit interview of 60-90 minutes at the study's conclusion. RESULTS: In total, 10 participants completed 166 EMA surveys and 39 daily diary entries. A total of 4 of the 10 participants completed 75% (21/28) or more of the EMA surveys, while 9 (90%) out of 10 completed 25% (7/28) or more. The average completion rate of all surveys was 58% (20.3/35), with a minimum of 17% (6/35) and maximum of 100% (35/35). A total of 4 (40%) out of 10 participants completed daily diary entries for the full pilot study. No safety-related incidents were reported. On average, participants took 2.08 minutes to complete EMA prompts and 2.72 minutes for daily diary surveys. Our qualitative results generally affirm the acceptability and feasibility of the study procedures, but the participants noted difficulties with the technology and the redundancy of the survey questions. Emerging themes also addressed issues such as reduced EMA survey compliance and diminished mood related to deficit-framed questions related to suicide. CONCLUSIONS: Findings from this study will be used to clarify the suitability of EMA for Black men. Overall, our EMA pilot study demonstrated mixed feasibility and acceptability when delivered through smartphone-based apps to Black men. Specific recommendations are provided for managing safety within these study designs and for refinements in future intervention and implementation science research. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/31241.

Increasing prevalence of hot drought across western North America since the 16th century.

Across western North America (WNA), 20th-21st century anthropogenic warming has increased the prevalence and severity of concurrent drought and heat events, also termed hot droughts. However, the lack of independent spatial reconstructions of both soil moisture and temperature limits the potential to identify these events in the past and to place them in a long-term context. We develop the Western North American Temperature Atlas (WNATA), a data-independent 0.5° gridded reconstruction of summer maximum temperatures back to the 16th century. Our evaluation of the WNATA with existing hydroclimate reconstructions reveals an increasing association between maximum temperature and drought severity in recent decades, relative to the past five centuries. The synthesis of these paleo-reconstructions indicates that the amplification of the modern WNA megadrought by increased temperatures and the frequency and spatial extent of compound hot and dry conditions in the 21st century are likely unprecedented since at least the 16th century.

Persistent Disparities: Trends in Rates of Sheltered Homelessness Across Demographic Subgroups in the USA.

CONTEXT: Homelessness is a public health crisis affecting millions of Americans every year, with severe consequences for health ranging from infectious diseases to adverse behavioral health outcomes to significantly higher all-cause mortality. A primary constraint of addressing homelessness is a lack of effective and comprehensive data on rates of homelessness and who experiences homelessness. While other types of health services research and policy are based around comprehensive health datasets to successfully evaluate outcomes and link individuals with services and policies, there are few such datasets that report homelessness. METHODS: Gathering archived data from the US Department of Housing and Urban Development, we created a unique dataset of annual rates of homelessness, nationally, as measured by persons accessing homeless shelter systems, for 11 years (2007-2017, including the Great Recession and prior to the start of the 2020 pandemic). Responding to the need to measure and address racial and ethnic disparities in homelessness, the dataset reports annual rates of homelessness across HUD selected, Census-based racial and ethnic categories. FINDINGS: Between 2007 and 2017, across all types of sheltered homelessness, whether individual, family, or total, Black, American Indian or Alaska Native, and Native Hawaiian and Pacific Islander individuals and families were far more likely to experience homelessness than non-Hispanic White individuals and families. Particularly concerning about the rates of homelessness among these populations is the persistent and increasing nature of these disparities across the entire study period. CONCLUSIONS: While homelessness is a public health problem, the hazard of experiencing homelessness is not uniformly distributed across different populations. Because homelessness is such a strong social determinant of health and risk factor across multiple health domains, it deserves the same careful annual tracking and evaluation by public health stakeholders as other areas of health and health care.

Examining Racial/Ethnic Disparities in Tobacco Dependence Treatment Among Medicaid Beneficiaries Using Fifty State Medicaid Claims, 2009-2014.

In the USA, low-income racial/ethnic minority groups experience higher smoking rates and greater smoking-related disease burden than their White counterparts. Despite the adverse effects, racial/ethnic minorities are less likely to access tobacco dependence treatment (TDT). Medicaid is one of the largest payers of TDT in the USA and covers predominantly low-income populations. The extent of TDT use among beneficiaries from distinct racial/ethnic groups is unknown. The objective is to estimate racial/ethnic differences in TDT use among Medicaid fee-for-service beneficiaries. Using a retrospective study design and 50 state (including the District of Columbia) Medicaid claims (2009-2014), we employed multivariable logistic regression models and predictive margin methods to estimate TDT use rates among adults (18-64) enrolled (≥ 11 months) in Medicaid fee-for-service programs (January 2009-December 2014) by race/ethnicity. The population included White (n = 6,536,004), Black (n = 3,352,983), Latinx (n = 2,264,647), Asian (n = 451,448), and Native American/Alaskan Native (n = 206,472) beneficiaries. Dichotomous outcomes reflected service use in the past year. Any TDT use was operationalized as any smoking cessation medication fill, any smoking cessation counseling visit, or any smoking cessation outpatient visit. In secondary analyses, we disaggregated TDT use into three separate outcomes. Results suggested that Black (10.6%; 95% CI = 9.9-11.4%), Latinx (9.5%; 95% CI = 8.9-10.2%), Asian (3.7%; 95% CI = 3.4-4.1%), and Native American/Alaskan Native (13.7%; 95% CI = 12.7-14.7%) beneficiaries had lower TDT use rates compared to White beneficiaries (20.6%). Similar racial/ethnic treatment disparities were identified across all outcomes. By identifying significant racial/ethnic disparities in TDT use between 2009 and 2014, this study provides a benchmark against which to measure recent interventions in state Medicaid programs improving equity in smoking cessation interventions.

Examining Racial/Ethnic Differences in Patterns of Opioid Prescribing: Results from an Urban Safety-Net Healthcare System.

Prescription opioids still account for a large proportion of overdose deaths and contribute to opioid use dependence (OUD). Studies earlier in the epidemic suggest clinicians were less likely to prescribe opioids to racial/ethnic minorities. As OUD-related deaths have increased disproportionately amongst minority populations, it is essential to understand racial/ethnic differences in opioid prescribing patterns to inform culturally sensitive mitigation efforts. The purpose of this study is to estimate racial/ethnic differences in opioid medication use among patients prescribed opioids. Using electronic health records and a retrospective cohort study design, we estimated multivariable hazard models and generalized linear models, assessing racial/ethnic differences in OUD diagnosis, number of opioid prescriptions, receiving only one opioid prescription, and receiving ≥18 opioid prescriptions. Study population (N=22,201) consisted of adult patients (≥18years), with ≥3 primary care visits (ensuring healthcare system linkage), ≥1 opioid prescription, who did not have an OUD diagnoses prior to the first opioid prescription during the 32-month study period. Relative to racial/ethnic minority patients, White patients, in both unadjusted and adjusted analyses, had a greater number of opioid prescriptions filled, a higher proportion received ≥18 opioid prescriptions, and a greater hazard of having an OUD diagnosis subsequent to receiving an opioid prescription (all groups p<0.001). Although opioid prescribing rates have declined nationally, our findings suggest White patients still experience a high volume of opioid prescriptions and greater risk of OUD diagnosis. Racial/ethnic minorities are less likely to receive follow-up pain medications, which may signal low care quality. Identifying provider bias in pain management of racial/ethnic minorities could inform interventions seeking balance between adequate pain treatment and risk of opioid misuse/abuse.

Predictors of relapse and engagement in care one year after ending services in an urban safety net coordinated specialty care program for first episode psychosis.

OBJECTIVE: This study aimed to identify risk factors for relapse (psychiatric emergency department visits or hospitalization) and lack of follow-up with outpatient psychiatric care in the 12 months after ending services in an urban safety net coordinated specialty care (CSC) program for first episode psychosis (FEP). METHODS: The study population (n = 143) were individuals with FEP who had any CSC care between 2014 and 2021. To identify risk factors for relapse and follow up after exit, multivariable logistic regression was performed using data from electronic health records and linked insurance claims data. RESULTS: Individuals with any emergency department visit or hospitalization 12 months prior to ending CSC (aOR = 4.69, 95 % CI 1.78-12.34) and those who were using cannabis at last CSC contact (aOR = 4.06, 95 % CI 1.56-10.56) had a higher risk of relapse after ending CSC services. Cannabis use at last contact was also associated with lower rates of outpatient psychiatric follow-up (aOR = 0.32, 95 % CI 0.12-0.94), while CSC duration in months had a small positive association with post-CSC psychiatric follow-up. There were no differences in relapse or follow-up by race or ethnicity, primary diagnosis, or medication usage. CONCLUSIONS: Prior relapse during CSC predicted relapse in the 12 months after ending CSC services, but not outpatient follow up. Cannabis use predicted both a higher rate of relapse and a lower rate of follow up after ending services. There were no differences by race or ethnicity in our sample, suggesting that once individuals engaged in FEP care there were no evident disparities in the observed outcomes.

Effects of live-online, group mindfulness training on opioid use and anxiety during buprenorphine treatment: A comparative effectiveness RCT.

BACKGROUND: Office-based opioid treatment with buprenorphine has emerged as a popular evidence-based treatment for opioid use disorder. Unfortunately, psychosocial stress, anxiety, pain, and co-morbid substance use increase patients' risk for relapse. We designed this study to compare the effects of complementing buprenorphine treatment with 24 weeks of a live-online Mindful Recovery Opioid Care Continuum (M-ROCC) group to a time and attention-matched, live-online Recovery Support Group (RSG) active control condition. METHODS: We plan to enroll a maximum of N = 280 and randomize at least N = 192 patients prescribed buprenorphine through referrals from office-based and telemedicine buprenorphine treatment providers and social media advertisements. Participants will be randomly assigned to M-ROCC or RSG and will be blinded to their treatment condition. The primary outcome for this study will be biochemically confirmed periods of abstinence from illicit opioids, as measured by self-reported use and randomly collected, video-observed oral fluid toxicology testing during the final 12 weeks of study participation. Secondary outcomes include changes in Patient-Reported Outcomes Measurement Information System (PROMIS) anxiety and pain interference scores between baseline and week 24. RESULTS: The trial was funded by the National Institutes of Health, HEAL Initiative through NCCIH (R33AT010125). Data collection is projected to end by September 2023, and we expect publication of results in 2024. CONCLUSION: If the M-ROCC intervention is found to be effective in this format, it will demonstrate that live-online mindfulness groups can improve outcomes and address common co-morbidities like anxiety and pain during buprenorphine treatment.

Predicting adolescent suicidal behavior following inpatient discharge using structured and unstructured data.

BACKGROUND: The objective was to develop and assess performance of an algorithm predicting suicide-related ICD codes within three months of psychiatric discharge. METHODS: This prognostic study used a retrospective cohort of EHR data from 2789 youth (12 to 20 years old) hospitalized in a safety net institution in the Northeastern United States. The dataset combined structured data with unstructured data obtained through natural language processing of clinical notes. Machine learning approaches compared gradient boosting to random forest analyses. RESULTS: Area under the ROC and precision-recall curve were 0.88 and 0.17, respectively, for the final Gradient Boosting model. The cutoff point of the model-generated predicted probabilities of suicide that optimally classified the individual as high risk or not was 0.009. When applying the chosen cutoff (0.009) to the hold-out testing set, the model correctly identified 8 positive cases out of 10, and 418 negative cases out 548. The corresponding performance metrics showed 80 % sensitivity, 76 % specificity, 6 % PPV, 99 % NPV, F-1 score of 0.11, and an accuracy of 76 %. LIMITATIONS: The data in this study comes from a single health system, possibly introducing bias in the model's algorithm. Thus, the model may have underestimated the incidence of suicidal behavior in the study population. Further research should include multiple system EHRs. CONCLUSIONS: These performance metrics suggest a benefit to including both unstructured and structured data in design of predictive algorithms for suicidal behavior, which can be integrated into psychiatric services to help assess risk.

Racial and Ethnic Disparities in COVID-19-Related Stressor Exposure and Adverse Mental Health Outcomes Among Health Care Workers.

OBJECTIVE: Racial and ethnic disparities in exposure to COVID-19-related stressors, pandemic-related distress, and adverse mental health outcomes were assessed among health care workers in the Bronx, New York, during the first wave of the pandemic. METHODS: The authors analyzed survey data from 992 health care workers using adjusted logistic regression models to assess differential prevalence of outcomes by race/ethnicity and their interactions. RESULTS: Compared with their White colleagues, Latinx, Black, Asian, and multiracial/other health care workers reported significantly higher exposure to multiple COVID-19-related stressors: redeployment, fear of being sick, lack of autonomy at work, and inadequate access to personal protective equipment. Endorsing a greater number of COVID-19-related stressors was associated with pandemic-related distress in all groups and with adverse mental health outcomes in some groups; it was not related to hazardous alcohol use in any of the groups. These associations were not significantly different between racial and ethnic groups. Latinx health care workers had significantly higher probabilities of pandemic-related distress and posttraumatic stress than White colleagues. Despite greater exposure to COVID-19-related stressors, Black, Asian, and multiracial/other health care workers had the same, if not lower, prevalence of adverse mental health outcomes. Conversely, White health care workers had a higher adjusted prevalence of moderate to severe anxiety compared with Asian colleagues and greater hazardous alcohol use compared with all other groups. CONCLUSIONS: Health care workers from racial and ethnic minority groups reported increased exposure to COVID-19-related stressors, suggestive of structural racism in the health care workforce. These results underscore the need for increased support for health care workers and interventions aimed at mitigating disparities in vocational exposure to risk and stress.