Project description:OBJECTIVE::The aim was to describe treatment history including medications, psychosocial therapy and hospital visits of participants in the Canadian Psychiatric Risk and Outcomes Study (PROCAN). METHODS::PROCAN is a 2-site study of 243 youth/young adults aged 12 to 25 y, categorized into 4 groups: healthy controls ( n = 42), stage 0 (non-help seeking, asymptomatic with risk mainly family history of serious mental illness (SMI); n = 41), stage 1a (distress disorders; n = 52) and stage 1b (attenuated syndromes; n = 108). Participants were interviewed regarding lifetime and current treatments, including medications, psychosocial therapies and hospital visits. RESULTS::The number receiving baseline medications differed significantly across groups ( P < 0.001): 0% healthy controls, 14.6% stage 0, 32.7% stage 1a and 34.3% stage 1b. Further, 26.9% and 49.1% of stage 1a and stage 1b participants received psychosocial therapy at baseline, indicative of statistically significant differences among the groups ( P < 0.001). Similar results were observed for lifetime treatment history; stage 1b participants had the highest frequency of lifetime treatment. Medications started in adulthood (>18 y of age) were the most common for initiation of treatment compared to childhood (0 to 12 y) and adolescence (13 to 17 y) for stage 1a and 1b participants. Lifetime mental health hospital visits differed significantly across groups ( P < 0.001) and were most common in stage 1b participants (29.6%) followed by stage 1a (13.5%), stage 0 (4.9%) and healthy controls (2.4%). CONCLUSION::We found that treatment history for participants in the PROCAN study differed among the at-risk groups. Future initiatives focused on determining the effects of treatment history on SMI are warranted.
Project description:BackgroundMost mental disorders begin in adolescence; however, there are gaps in our understanding of youth mental health. Clinical and policy gaps arise from our current inability to predict, from amongst all youth who experience mild behavioural disturbances, who will go on to develop a mental illness, what that illness will be, and what can be done to change its course and prevent its worsening to a serious mental illness (SMI). There are also gaps in our understanding of how known risk factors set off neurobiological changes that may play a role in determining who will develop a SMI. Project goals are (i) to identify youth at different stages of risk of SMI so that intervention can begin as soon as possible and (ii) to understand the triggers of these mental illnesses.MethodThis 2-site longitudinal study will recruit 240 youth, ages 12-25, who are at different stages of risk for developing a SMI. The sample includes (a) healthy individuals, (b) symptom-free individuals who have a first-degree relative with a SMI, (c) youth who are experiencing distress and may have mild symptoms of anxiety or depression, and (d) youth who are already demonstrating attenuated symptoms of SMI such as bipolar disorder or psychosis. We will assess, every 6 months for one year, a wide range of clinical and psychosocial factors to determine which factors can be used to predict key outcomes. We will also assess neuroimaging and peripheral markers. We will develop and validate a prediction algorithm that includes demographic, clinical and psychosocial predictors. We will also determine if adding biological markers to our algorithm improves prediction.DiscussionOutcomes from this study include an improved clinical staging model for SMI and prediction algorithms that can be used by health care providers as decision-support tools in their practices. Secondly, we may have a greater understanding of clinical, social and cognitive factors associated with the clinical stages of development of a SMI, as well as new insights from neuroimaging and later neurochemical biomarker studies regarding predisposition to SMI development and progression through the clinical stages of illness.
Project description:BackgroundIdentifying early biomarkers of serious mental illness (SMI)-such as changes in brain structure and function-can aid in early diagnosis and treatment. Whole brain structural and functional connectomes were investigated in youth at risk for SMI.MethodsParticipants were classified as healthy controls (HC; n = 33), familial risk for serious mental illness (stage 0; n = 31), mild symptoms (stage 1a; n = 37), attenuated syndromes (stage 1b; n = 61), or discrete disorder (transition; n = 9) based on clinical assessments. Imaging data was collected from two sites. Graph-theory based analysis was performed on the connectivity matrix constructed from whole-brain white matter fibers derived from constrained spherical deconvolution of the diffusion tensor imaging (DTI) scans, and from the correlations between brain regions measured with resting state functional magnetic resonance imaging (fMRI) data.ResultsLinear mixed effects analysis and analysis of covariance revealed no significant differences between groups in global or nodal metrics after correction for multiple comparisons. A follow up machine learning analysis broadly supported the findings. Several non-overlapping frontal and temporal network differences were identified in the structural and functional connectomes before corrections.ConclusionsResults suggest significant brain connectome changes in youth at transdiagnostic risk may not be evident before illness onset.
Project description:BackgroundAvoiding interruptions and dropout in outpatient care can prevent mental illness symptom exacerbation and costly crisis services, such as emergency room visits and inpatient psychiatric hospitalization. During the COVID-19 pandemic, to attempt to maintain care continuity, telemedicine services were increasingly utilized, despite the lack of data on efficacy in patients with serious mental illness. Patients with serious mental illness are challenging to enroll and sustain in randomized controlled trials over time due to fluctuations in disease exacerbation. However, capturing and examining utilization and efficacy data in community mental health center (CMHC) patients with serious mental illness during the pandemic is a unique opportunity to inform future clinical and policy decision-making.ObjectiveWe aimed to identify and describe the characteristics of CMHC patients with serious mental illness who experienced treatment interruptions and who utilized telemedicine during the pandemic.MethodsWe conducted a retrospective observational study of treatment interruptions and telemedicine use during the period from December 2019 to June 2020 (compared to the period from December 2018 to June 2019) in New Hampshire CMHC patients. The study population included all Medicaid beneficiaries with serious mental illness engaged in treatment 3 months prior to the declaration of a state of emergency in response to the COVID-19 pandemic. We used chi-square tests of independence and logistic regression to explore associations between treatment interruptions and variables (gender, age, rurality, and diagnosis). Telemedicine utilization was categorized as low (<25%), medium (25%-75%), or high (>75%) use.ResultsA total of 16,030 patients were identified. New Hampshire CMHCs demonstrated only a 4.9% increase in treatment interruptions compared with the year prior. Patients who were male (odds ratio [OR] 1.27, 95% CI 1.17-1.38; P<.001), under the age of 18 years (ages 0-12 years: OR 1.37, 95% CI 0.62-0.86, P<.001; aged 13-17 years: OR 1.49, 95% CI 0.57-0.79, P<.001), or among milder diagnostic categories, such as anxiety disorders (OR 3.77, 95% CI 3.04-4.68; P<.001) and posttraumatic stress disorder (OR 3.69, 95% CI 2.96-4.61; P<.001), were most likely to experience treatment interruptions. Patients who were female (OR 0.89, CI 0.65-0.74), 18 to 34 years old (OR 0.74, CI 0.70-0.79), or among milder diagnostic categories, such as anxiety disorder (OR 0.69, CI 0.65-0.74) or posttraumatic stress disorder (OR 0.77, CI 0.72-0.83), and with major depressive disorder (OR 0.73, CI 0.68-0.78) were less likely to be in the low telemedicine utilization group.ConclusionsThe integration of telemedicine supported care continuity for most CMHC patients; yet, retention varied by subpopulation, as did telemedicine utilization. The development of policies and clinical practice guidelines requires empirical evidence on the effectiveness and limitations of telemedicine in patients with serious mental illness.
Project description:ObjectiveAdults with serious mental illness and comorbid alcohol dependence are at high risk for both high utilization of crisis-driven health care services and criminal justice involvement. Evidence-based medication-assisted treatment (MAT) for alcohol dependence may reduce both crisis service utilization and criminal recidivism. The authors estimated the effect of MAT on behavioral health treatment utilization and criminal justice outcomes for this population.MethodRelevant administrative data were merged from several public agencies in Connecticut for 5,743 adults ≥18 years old who had schizophrenia spectrum disorder, bipolar disorder, or major depressive disorder comorbid with moderate to severe alcohol dependence and who were incarcerated for at least one night during the study window (2002-2009). Longitudinal multivariable regression models were used to estimate the effect of MAT compared with other outpatient substance abuse treatments on inpatient mental health and substance abuse hospitalizations, emergency department visits, criminal convictions, and incarcerations.ResultsMAT was associated with significant improvements in clinical outcomes in the 12 months following initiation compared with non-MAT comparison treatment, including greater reductions in mental health hospitalization and emergency department visits and greater improvements in psychotropic medication adherence. No benefits of MAT were found for most criminal justice outcomes, except for significant reductions in felony convictions among adults with bipolar disorder.ConclusionsMAT is underused for treating alcohol dependence, especially among adults with serious mental illness. These results suggest that MAT can have important benefits for clinical outcomes in this population. More research is needed to improve its use in this patient population as well as to address barriers to its availability.
Project description:Objective:To evaluate differences in patient characteristics and real-world outcomes in two distinct high-risk cohorts of patients with serious mental illness (SMI). Methods:Retrospective cross-sectional analysis using a national multi-payer claims database. Two SMI cohorts identified by a technical expert panel-patients recently discharged (RD) from an SMI-related hospitalization and early episode (EE) patients-were evaluated for antipsychotic medication adherence, healthcare utilization, and spending patterns. Results:The analysis included 51,705 patients with bipolar disorder, major depressive disorder, and schizophrenia. More than half were over age 46 and >60% were female. Adherence to psychiatric medications was low (52.5% RD and 16.1% EE). More than half of RD and 100% of EE patients switched medications at least once annually, but 19% of RD patients switched ?2 times compared to 14% of EE. The RD cohort (generally older and sicker) had higher psychiatric related utilization and higher annual costs (US$21,171 versus US$15,398). In both cohorts, women were more likely to have an emergency department (ED) and primary care provider (PCP) visit, but less likely to be hospitalized. Patients age <46 were less likely to have a PCP visit and more likely to have an ED visit, but younger patients age 18-24 were less likely to be hospitalized. Conclusion:Efforts to manage SMI are confounded by heterogeneity and low adherence to treatment. By better understanding which patients are at higher risk for specific adverse outcomes, clinicians can target interventions more appropriately to reduce the significant burden of SMI.
Project description:Smokers with serious mental illness (SMI) face individual, interpersonal, and healthcare provider barriers to cessation treatment utilization and smoking abstinence. Proactive outreach strategies are designed to address these barriers by promoting heightened contact with smokers and facilitating access to evidence-based treatments. The present study examined the effect of proactive outreach among smokers with SMI (n = 939) who were enrolled in the publicly subsidized Minnesota Health Care Programs (MHCP) and compared this effect to that observed among MHCP smokers without SMI (n = 1382). Relative to usual care, the intervention increased treatment utilization among those with SMI (52.1% vs 40.0%, p = 0.002) and without SMI (39.3% vs 25.4%, p < 0.001). The intervention also increased prolonged smoking abstinence among those with SMI (14.9% vs 9.4%, p = 0.010) and without SMI (17.7% vs 13.6%, p = 0.09). Findings suggest that implementation of proactive outreach within publicly subsidized healthcare systems may alleviate the burden of smoking in this vulnerable population. Trial Registration ClinicalTrials.gov identifier: NCT01123967.
Project description:IntroductionThere is emerging evidence to support that the COVID-19 pandemic and related public health measures may be associated with negative mental health sequelae. Rural populations in particular may fair worse because they share many unique characteristics that may put them at higher risk for adverse outcomes with the pandemic. Yet, rural populations may also be more resilient due to increased sense of community. Little is known about the impact of the pandemic on the mental health and well-being of a rural population pre- and post-pandemic, especially those with serious mental illness.Material and methodsWe conducted a longitudinal, mixed-methods study with assessments preceding the pandemic (between October 2019 and March 2020) and during the stay-at-home orders (between April 23, 2020, and May 4, 2020). Changes in hopelessness, suicidal ideation, connectedness, and treatment engagement were assessed using a repeated-measures ANOVA or Friedman test.ResultsAmong 17 eligible participants, 11 people were interviewed. Overall, there were no notable changes in any symptom scale in the first 3-5 months before the pandemic or during the stay-at-home orders. The few patients who reported worse symptoms were significantly older (mean age: 71.7 years, SD: 4.0). Most patients denied disruptions to treatment, and some perceived telepsychiatry as beneficial.ConclusionsRural patients with serious mental illness may be fairly resilient in the face of the COVID-19 pandemic when they have access to treatment and supports. Longer-term outcomes are needed in rural patients with serious mental illness to better understand the impact of the pandemic on this population.
Project description:BackgroundTransition-age youth have elevated rates of mental disorders, and they often do not receive services. This is a serious public health concern, as mental health conditions persist into adulthood. Continuing to engage this population has been a pervasive challenge for the mental health care system worldwide. Few mental health interventions have been developed for transition-age youth, and even fewer have been found to be effective over the transition to adulthood. Cornerstone, a theoretically guided intervention has shown promise for addressing the mental health and psychosocial needs of this population as they emerge into adulthood. Cornerstone provides case management, trauma-focused cognitive behavioral therapy, mentoring/peer support, community-based in vivo practice, and groups to address stigma, mistrust, and practical skill development to improve the transition to independence among transition-age youth with serious mental health conditions.Methods/designThis study utilizes a hybrid research design and focuses on examining feasibility, acceptability and preliminary impact, along with factors that influence implementation, to maximize new knowledge. The study combines qualitative methods and a randomized controlled trial, using data to inform and refine protocols and manuals, while testing the preliminary impact of the intervention, compared to best available services (treatment as usual, TAU) at a partnering outpatient mental health clinic (n = 60). Contributors to the intervention development research (n = 20) are national experts on mental health services, clinic administrators and staff and young adults with direct experience. The intervention involves intensive staff training and 18 months of ongoing service provision, monitoring and supervision. Quantitative survey data will be collected at baseline, 3 months, 6 months, and 9 months measuring mental health and practical life outcomes via self-report measures. Medical records will be used to triangulate self-report data (i.e., primary diagnosis, treatment planning and attendance). Qualitative data focuses on the intervention development process and implementation research and will use constant comparison coding techniques. In this intention-to-treat analysis, we will conduct basic omnibus analyses to examine whether Cornerstone leads to improved outcomes relative to TAU utilizing t tests across treatment conditions for each outcome measure specified. We will likewise examine whether changes in the proposed mediating variables differ across groups.DiscussionThe aim of this study is to refine Cornerstone through an intensive preliminary trial, learning through collaboration with clinic staff, project team members, and leaders in New York State and nationwide on how to best serve transition-age youth with serious mental health conditions. Cornerstone has the potential to fill a large gap in the service system for transition-age youth with serious mental health conditions, and may enhance the menu of care options for those who have been recently diagnosed with a serious mental health condition, and yet, have a long life to live. The program is recovery-oriented, builds on the best evidence to date, and is in line with both local and national health care reform efforts.Trial registrationThis trial was registered with ClinicalTrials.gov (Identifier: NCT02696109 ) on 22 April 16 as Protocol Record R34-MH102525-01A1MRM, as New York University, Cornerstone program for transition-age youth with serious mental illness: study protocol for a randomized controlled trial.
Project description:Depressive symptoms have debilitating effects on the physical health and functioning of people with serious mental illness. We examined change in depressive symptoms among overweight and obese adults with serious mental illness (n = 343) using data combined from two randomized trials comparing the 12-month In SHAPE program to a gym membership control condition. In SHAPE consists of a gym membership, weekly individual meetings with a fitness trainer, and instruction on healthy eating and nutrition. Depressive symptoms were measured at baseline, 3, 6, and 12 months. Change in depressive symptoms did not differ between groups, but depressive symptoms decreased over time across the entire sample (p = 0.045). At 12 months, reduced depressive symptoms were associated with clinically significant improved cardiorespiratory fitness (p = 0.030), 10% or more weight loss (p = 0.044), and cardiovascular risk reduction (p = 0.028) across both groups. Our findings suggest that participation in health promotion programs resulting in cardiovascular risk reduction may be associated with reduced depressive symptoms.