High-density lipoprotein (HDL) as an indicator for alcohol use in a psychiatrically ill population.

AIMS: To examine the cross sectional and longitudinal associations between the Alcohol Use Disorders Identification Test-Concise (AUDIT-C) and differences in high-density lipoprotein (HDL) in a psychiatrically ill population. METHODS: Retrospective observational study using electronic health record data from a large healthcare system, of patients hospitalized for a mental health/substance use disorder (MH/SUD) from 1 July 2016 to 31 May 2023, who had a proximal AUDIT-C and HDL (N = 15 915) and the subset who had a repeat AUDIT-C and HDL 1 year later (N = 2915). Linear regression models examined the association between cross-sectional and longitudinal AUDIT-C scores and HDL, adjusting for demographic and clinical characteristics that affect HDL. RESULTS: Compared with AUDIT-C score = 0, HDL was higher among patients with greater AUDIT-C severity (e.g. moderate AUDIT-C score = 8.70[7.65, 9.75] mg/dl; severe AUDIT-C score = 13.02 [12.13, 13.90] mg/dL[95% confidence interval (CI)] mg/dl). The associations between cross-sectional HDL and AUDIT-C scores were similar with and without adjusting for patient demographic and clinical characteristics. HDL levels increased for patients with mild alcohol use at baseline and moderate or severe alcohol use at follow-up (15.06[2.77, 27.69] and 19.58[2.77, 36.39] mg/dL[95%CI] increase for moderate and severe, respectively). CONCLUSIONS: HDL levels correlate with AUDIT-C scores among patients with MH/SUD. Longitudinally, there were some (but not consistent) increases in HDL associated with increases in AUDIT-C. The increases were within range of typical year-to-year variation in HDL across the population independent of alcohol use, limiting the ability to use HDL as a longitudinal clinical indicator for alcohol use in routine care.

Value-Based Insurance Design: Clinically Nuanced Consumer Cost-Sharing for Mental Health Services.

BACKGROUND: While consumer cost-sharing is a widely used strategy to mitigate health care spending, numerous studies have demonstrated that even modest levels of out-of-pocket cost are associated with lower use of medical care, including clinically necessary, high-value services. Within mental health care, increases in cost-sharing are associated with reductions in use of mental health care and psychotropic medication use. Further, these reductions in mental health services and treatments can lead to downstream consequences including worsening of psychiatric illness and increased need for acute care and psychiatric hospitalization. Thus, there is a need for clinically informed solutions that explicitly balance the need for appropriate access to essential mental health services and treatments with growing fiscal pressures faced by public and private payers. Value-Based Insurance Design (VBID) describes a model where consumer cost-sharing is based on the potential clinical benefit rather than the price of a specific health care service or treatment. AIMS OF THE STUDY: Describe value-based insurance design and applications in mental health care. RESULTS, DISCUSSION AND IMPLICATIONS FOR HEALTH POLICIES: For over two decades, clinically nuanced VBID programs have been implemented in an effort to optimize the use of high-value health services and enhance equity through reduced consumer cost-sharing. Overall, the evidence suggests that VBID has demonstrated success in reducing consumer out-of-pocket costs associated with specific, high value services. By reducing financial barriers to essential clinical services and medications, VBID has potential to enhance equity. However, the impact of VBID on overall mental health care spending and clinical outcomes remains uncertain.

Identifying Medicare Beneficiaries With Delirium.

BACKGROUND: Each year, thousands of older adults develop delirium, a serious, preventable condition. At present, there is no well-validated method to identify patients with delirium when using Medicare claims data or other large datasets. We developed and assessed the performance of classification algorithms based on longitudinal Medicare administrative data that included International Classification of Diseases, 10th Edition diagnostic codes. METHODS: Using a linked electronic health record (EHR)-Medicare claims dataset, 2 neurologists and 2 psychiatrists performed a standardized review of EHR records between 2016 and 2018 for a stratified random sample of 1002 patients among 40,690 eligible subjects. Reviewers adjudicated delirium status (reference standard) during this 3-year window using a structured protocol. We calculated the probability that each patient had delirium as a function of classification algorithms based on longitudinal Medicare claims data. We compared the performance of various algorithms against the reference standard, computing calibration-in-the-large, calibration slope, and the area-under-receiver-operating-curve using 10-fold cross-validation (CV). RESULTS: Beneficiaries had a mean age of 75 years, were predominately female (59%), and non-Hispanic Whites (93%); a review of the EHR indicated that 6% of patients had delirium during the 3 years. Although several classification algorithms performed well, a relatively simple model containing counts of delirium-related diagnoses combined with patient age, dementia status, and receipt of antipsychotic medications had the best overall performance [CV- calibration-in-the-large <0.001, CV-slope 0.94, and CV-area under the receiver operating characteristic curve (0.88 95% confidence interval: 0.84-0.91)]. CONCLUSIONS: A delirium classification model using Medicare administrative data and International Classification of Diseases, 10th Edition diagnosis codes can identify beneficiaries with delirium in large datasets.

Development and Evaluation of a Natural Language Processing Annotation Tool to Facilitate Phenotyping of Cognitive Status in Electronic Health Records: Diagnostic Study.

BACKGROUND: Electronic health records (EHRs) with large sample sizes and rich information offer great potential for dementia research, but current methods of phenotyping cognitive status are not scalable. OBJECTIVE: The aim of this study was to evaluate whether natural language processing (NLP)-powered semiautomated annotation can improve the speed and interrater reliability of chart reviews for phenotyping cognitive status. METHODS: In this diagnostic study, we developed and evaluated a semiautomated NLP-powered annotation tool (NAT) to facilitate phenotyping of cognitive status. Clinical experts adjudicated the cognitive status of 627 patients at Mass General Brigham (MGB) health care, using NAT or traditional chart reviews. Patient charts contained EHR data from two data sets: (1) records from January 1, 2017, to December 31, 2018, for 100 Medicare beneficiaries from the MGB Accountable Care Organization and (2) records from 2 years prior to COVID-19 diagnosis to the date of COVID-19 diagnosis for 527 MGB patients. All EHR data from the relevant period were extracted; diagnosis codes, medications, and laboratory test values were processed and summarized; clinical notes were processed through an NLP pipeline; and a web tool was developed to present an integrated view of all data. Cognitive status was rated as cognitively normal, cognitively impaired, or undetermined. Assessment time and interrater agreement of NAT compared to manual chart reviews for cognitive status phenotyping was evaluated. RESULTS: NAT adjudication provided higher interrater agreement (Cohen κ=0.89 vs κ=0.80) and significant speed up (time difference mean 1.4, SD 1.3 minutes; P<.001; ratio median 2.2, min-max 0.4-20) over manual chart reviews. There was moderate agreement with manual chart reviews (Cohen κ=0.67). In the cases that exhibited disagreement with manual chart reviews, NAT adjudication was able to produce assessments that had broader clinical consensus due to its integrated view of highlighted relevant information and semiautomated NLP features. CONCLUSIONS: NAT adjudication improves the speed and interrater reliability for phenotyping cognitive status compared to manual chart reviews. This study underscores the potential of an NLP-based clinically adjudicated method to build large-scale dementia research cohorts from EHRs.

"One size does not fit all" - lessons learned from a multiple-methods study of a resident wellness curriculum across sites and specialties.

BACKGROUND: There is growing recognition that wellness interventions should occur in context and acknowledge complex contributors to wellbeing, including individual needs, institutional and cultural barriers to wellbeing, as well as systems issues which propagate distress. The authors conducted a multiple-methods study exploring contributors to wellbeing for junior residents in diverse medical environments who participated in a brief resilience and stress-reduction curriculum, the Stress Management and Resiliency Training Program for Residents (SMART-R). METHODS: Using a waitlist-controlled design, the curriculum was implemented for post-graduate year (PGY)-1 or PGY-2 residents in seven residency programs across three sites. Every three months, residents completed surveys, including the Perceived Stress Scale-10, General Self-Efficacy Questionnaire, a mindfulness scale (CAMSR), and a depression screen (PHQ-2). Residents also answered free-text reflection questions about psychological wellbeing and health behaviors. RESULTS: The SMART-R intervention was not significantly associated with decreased perceived stress. Linear regression modeling showed that depression was positively correlated with reported stress levels, while male sex and self-efficacy were negatively correlated with stress. Qualitative analysis elucidated differences in these groups: Residents with lower self-efficacy, those with a positive depression screen, and/or female residents were more likely to describe experiencing lack of control over work. Residents with higher self-efficacy described more positive health behaviors. Residents with a positive depression screen were more self-critical, and more likely to describe negative personal life events. CONCLUSIONS: This curriculum did not significantly modify junior residents' stress. Certain subpopulations experienced greater stress than others (female residents, those with lower self-efficacy, and those with a positive depression screen). Qualitative findings from this study highlight universal stressful experiences early in residency, as well as important differences in experience of the learning environment among subgroups. Tailored wellness interventions that aim to support diverse resident sub-groups may be higher yield than a "one size fits all" approach. TRIAL REGISTRATION: NCT02621801 , Registration date: December 4, 2015 - Retrospectively registered.

"Call Me, Maybe": Supervisor and Resident Comfort With Indirect Supervision in Psychiatry Training.

BACKGROUND: Resident supervision is critical for education and ensuring patient safety. After hours, communication with attendings is variable. OBJECTIVE: The objective was to identify differences among psychiatry residents and attendings regarding the desired level of supervision for issues that arise overnight in the psychiatric emergency department (ED). METHODS: In a single-site psychiatric ED, an electronic survey containing 30 hypothetical scenarios was administered. For each scenario, residents were asked if they would call attendings and attendings whether they would want to be called. RESULTS: 35/44 psychiatry residents and 15/17 faculty participated, yielding a response rate of 82%. For five scenarios, faculty preferred that residents call for supervision more frequently than residents indicated they would. These included staff or house staff injuries (60% vs. 22.9%, p = 0.011; 93.3% vs. 62.9%, p = 0.039), a patient using heroin in the ED (53.3% vs. 5.7%, p < 0.001), a conflict with the medical ED attending (100% vs. 65.7%, p = 0.010), and a decision about calling in a backup resident (60% vs. 28.6%, p = 0.036). CONCLUSIONS: In a psychiatric ED, attendings prefer greater involvement in cases relating to psychosocial issues, legal concerns, and conflicts with patients. More work is needed to fully understand these differences and their potential impact on patient care and training.

Acute Phase Treatment Outcomes of Electroconvulsive Therapy in Adolescents and Young Adults.

OBJECTIVE: Electroconvulsive therapy (ECT) is a highly efficacious, well-tolerated treatment in adults. Little is known, however, about its effectiveness in adolescents and young adults. Our objectives were to assess clinical outcomes after acute phase ECT in adolescents and young adults and determine whether screening positive or negative for a substance use disorder (SUD) is associated with differences in treatment outcomes. METHODS: Study sample consisted of all patients 16 to 25 years old who received ECT from May 2011 to August 2016 and who completed self-reported SUD screens and the Behavior and Symptom Identification Scale-24 (BASIS-24) initially and completed the BASIS-24 again after the fifth ECT treatment. For 5 BASIS-24 domains, longitudinal changes in mean domain scores were assessed; mean changes by SUD screening status were also examined using linear mixed models. RESULTS: One hundred ninety adolescents and young adults, with mean age 21.0 ± 2.6 years, met inclusion criteria. Electroconvulsive therapy was associated with significant clinical improvement (score decreases) in all 5 BASIS-24 domains during the acute phase treatment (P < 0.001). Sixty-four percent (122/190) screened positive for SUD. Compared with adolescents and young adults screening negative for SUD, those screening positive for co-occurring SUD had greater improvement in depression/functioning (-0.37 ± 0.14, P = 0.009), interpersonal relationships (-0.27 ± 0.13, P = 0.045), and emotional lability (-0.27 ± 0.14, P = 0.044) domains after the fifth ECT treatment. CONCLUSIONS: Electroconvulsive therapy in adolescents and young adults was associated with significantly improved clinical outcomes during acute phase treatment. Adolescents and young adults screening positive for SUD had better acute phase ECT outcomes in self-reported depression/functioning, interpersonal relationships, and emotional lability than those screening negative. More research is needed to clarify adolescents and young adult patient characteristics that may be associated with differential ECT outcomes.

After Hours: A Survey of Moonlighting Practices in Psychiatry Residents.

OBJECTIVE: The authors surveyed psychiatry residents to determine who participates in moonlighting and to understand their views and opinions on the necessity, importance, and educational value of moonlighting. METHODS: An electronic survey was distributed to psychiatry residents at 16 programs nationally. Descriptive characteristics were calculated. Logistic and linear regressions were performed to determine differences between those who moonlight and those who do not and to assess differences in measures of financial distress, quality of life, and work-life balance. RESULTS: A total of 173/624 (27.6%) residents participated. Within the subset allowed to moonlight, 50% (47/94) reported moonlighting during prior academic year, for an average of 17.4 ± 8.6 hoursh per month. Within those eligible to moonlight, there were no differences in perceived financial distress, quality of life, work-life balance, and confidence between residents who moonlighted and those who did not. Among moonlighters, 10.6% moonlighted overnight before working the next day, and only 68.1% included moonlighting when recording duty hours. 45% reported no supervision available while moonlighting. CONCLUSIONS: In the study sample, 50% of psychiatry residents eligible to moonlight opted to do so. Though most programs have policies in place regarding moonlighting, programs may benefit from ensuring that residents are reporting moonlighting in duty hours and that supervision is available to those moonlighting.

A Qualitative Analysis of Stress and Relaxation Themes Contributing to Burnout in First-Year Psychiatry and Medicine Residents.

OBJECTIVE: Qualitative research on trainee well-being can add nuance to the understanding of propagators of burnout, and the role for interventions aimed at supporting well-being. This qualitative study was conducted to identify (i) situations and environments that cause stress for trainees, (ii) stress-reducing activities that trainees utilize, and (iii) whether trainees who report distress (high burnout and depression scores) describe different stressors and relaxation factors than those who do not. METHODS: The study was conducted with a convenience sample of first-year medicine and psychiatry residents at a large urban teaching hospital. Participants were asked to complete electronic stress and relaxation diaries daily for 1 week. Diary entries were coded for recurrent themes. Participants were screened for burnout and depression. Codes were compared by subgroup based on baseline burnout and depression status to elucidate if specific themes emerged in these subgroups. RESULTS: Study sample included 51 interns. Sixteen (16/50, 32%) screened positive for burnout and three (3/50, 14%) had a positive depression screen. The most common stressors related to aspects of the learning environment, compounded by feeling under-equipped, overwhelmed, or out of time. The majority of relaxation activities involved social connection, food, other comforts, and occurred outside of the hospital environment. CONCLUSIONS: This study reveals that interns (regardless of burnout or depression screen) identify stressors that derive primarily from organizational, interpersonal, and cultural experiences of the learning environment; whereas relaxation themes are diversely represented across realms (home, leisure, social, health), though emphasize activities that occur outside of the work place.

Smarter continuity in an era of expanding challenges in primary care.

If we are to achieve the clinical and economic benefits of primary care and care continuity, the implementation and evaluation of strategies that reward clinicians and patients are warranted.

Remodeling Broken Systems: Addressing the National Emergency in Child and Adolescent Mental Health.

A national emergency in child and adolescent mental health was declared in the United States in 2021 in the wake of the COVID-19 pandemic. This Open Forum discusses potential solutions to better support child and adolescent mental health by improving or expanding school-based mental health services, child psychiatry access programs, virtual mental health services, and new models of care (e.g., integrated youth services hubs and crisis stabilization units). The success of such programs is dependent on stable funding, strong leadership and accountability, robust and well-trained workforces, systems integration, and attention to health equity.

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.

Medical and Psychiatric Care Preceding the First Psychotic Disorder Diagnosis.

BACKGROUND: Individuals with psychotic symptoms experience substantial morbidity and have shortened life expectancies; early treatment may mitigate the worst effects. Understanding care preceding a first psychotic disorder diagnosis is critical to inform early detection and intervention. STUDY DESIGN: In this observational cohort study using comprehensive information from the Massachusetts All-Payer Claims Database, we identified the first psychotic disorder diagnosis in 2016, excluding those with historical psychotic disorder diagnoses in the prior 48 months among those continuous enrollment data. We reviewed visits, medications, and hospitalizations 2012-2016. We used logistic regression to examine characteristics associated with pre-diagnosis antipsychotic use. STUDY RESULTS: There were 2505 individuals aged 15-35 years (146 per 100 000 similarly aged individuals in the database) with a new psychotic disorder diagnosis in 2016. Most (97%) had at least one outpatient visit in the preceding 48 months; 89% had a prior mental health diagnosis unrelated to psychosis (eg, anxiety [60%], depression [60%]). Many received psychotropic medications (77%), including antipsychotic medications (46%), and 68% had a visit for injury or trauma during the preceding 48 months. Characteristics associated with filling an antipsychotic medication before the psychotic disorder diagnosis included male sex and Medicaid insurance at psychosis diagnosis. CONCLUSIONS: In this insured population of Massachusetts residents with a new psychotic disorder diagnosis, nearly all had some healthcare utilization, visits for injury or trauma were common, and nearly half filled an antipsychotic medication in the preceding 48 months. These patterns of care could represent either pre-disease signals, delays, or both in receiving a formal diagnosis.

Effectiveness of long-term acute care hospitalization in elderly patients with chronic critical illness.

BACKGROUND: For patients recovering from severe acute illness, admission to a long-term acute care hospital (LTAC) is an increasingly common alternative to continued management in an intensive care unit (ICU). OBJECTIVE: To examine the effectiveness of LTAC transfer in patients with chronic critical illness. RESEARCH DESIGN: Retrospective cohort study in United States hospitals from 2002 to 2006. SUBJECTS: Medicare beneficiaries with chronic critical illness, defined as mechanical ventilation and at least 14 days of intensive care. MEASURES: Survival, costs, and hospital readmissions. We used multivariate analyses and instrumental variables to account for differences in patient characteristics, the timing of LTAC transfer, and selection bias. RESULTS: A total of 234,799 patients met our definition of chronic critical illness. Of these, 48,416 (20.6%) were transferred to an LTAC. In the instrumental variable analysis, patients transferred to an LTAC experienced similar survival compared with patients who remained in an ICU [adjusted hazard ratio=0.99; 95% confidence interval (CI), 0.96 to 1.01; P=0.27). Total hospital-related costs in the 180 days after admission were lower among patients transferred to LTACs (adjusted cost difference=-$13,422; 95% CI, -26,662 to -223, P=0.046). This difference was attributable to a reduction in skilled nursing facility admissions (adjusted admission rate difference=-0.591; 95% CI, -0.728 to -0.454; P<0.001). Total Medicare payments were higher (adjusted cost difference=$15,592; 95% CI, 6343 to 24,842; P=0.001). CONCLUSIONS: Patients with chronic critical illness transferred to LTACs experience similar survival compared with patients who remain in ICUs, incur fewer health care costs driven by a reduction in postacute care utilization, however, invoke higher overall Medicare payments.

Focusing on Digital Research Priorities for Advancing the Access and Quality of Mental Health.

Digital mental health solutions are now well recognized as critical to solving the global mental health crisis. As research accelerates, it is now clear that solutions ranging from computer-based therapy programs to virtual reality headsets and smartphone apps to large language model chatbots are of interest, feasible, and hold exciting potential to improve mental health. This research should now consider the next generation of scientific and clinical questions regarding if these new approaches are equitable, valid, effective, implementable, efficacious, and even cost-effective. This paper outlines several of the new frontiers for the next generation of research and introduces JMIR Publications' partnership with the Society of Digital Psychiatry to further advance these aims.

Population turnover and leakage in commercial ACOs.

OBJECTIVES: Commercial accountable care organization (ACO) contracts attempt to mitigate spending growth, but past evaluations have been limited to continuously enrolled ACO members in health maintenance organization (HMO) plans, excluding many members. The objective of this study was to examine the magnitude of turnover and leakage within a commercial ACO. STUDY DESIGN: A historical cohort study using detailed information from multiple commercial ACO contracts within a large health care system between 2015 and 2019. METHODS: Individuals insured through 1 of the 3 largest commercial ACO contracts during the study period, 2015-2019, were included. We examined patterns of entry and exit and the characteristics that predicted remaining in the ACO compared with leaving the ACO. We also examined predictors of the amount of care delivered in the ACO compared with outside the ACO. RESULTS: Among the 453,573 commercially insured individuals in the ACO, approximately half left the ACO within the initial 24 months after entry. Approximately one-third of spending was for care occurring outside the ACO. Patients who remained in the ACO differed from those who left earlier, including being older, having a non-HMO plan, having lower predicted spending at entry, and having more medical spending for care performed within the ACO during the initial quarter of membership. CONCLUSIONS: Both turnover and leakage hamper the ability of ACOs to manage spending. Modifications that address potentially intrinsic vs avoidable sources of population turnover and increase patient incentives for care within vs outside of ACOs could help address medical spending growth within commercial ACO programs.