Longitudinal Trends in Medication Treatment for Youth At-Risk for Serious Mental Illness.
Ontology highlight
ABSTRACT:
SUBMITTER: Farris MS
PROVIDER: S-EPMC8172345 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature
Publications
Longitudinal Trends in Medication Treatment for Youth At-Risk for Serious Mental Illness.
Farris Megan S MS Braun Amy A MacQueen Glenda G Goldstein Benjamin I BI Wang JianLi J Kennedy Sidney H SH Addington Jean J
Canadian journal of psychiatry. Revue canadienne de psychiatrie 20210119 4
Similar Datasets
Project description:ObjectiveThe aim was to describe treatment history including medications, psychosocial therapy and hospital visits of participants in the Canadian Psychiatric Risk and Outcomes Study (PROCAN).MethodsPROCAN 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.ResultsThe 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%).ConclusionWe 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.
| S-EPMC6405799 | biostudies-literature
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.
| S-EPMC6034268 | biostudies-literature
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.
| S-EPMC9476574 | biostudies-literature
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.
| S-EPMC8981005 | biostudies-literature
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.
| S-EPMC6032529 | biostudies-literature
Project description:IntroductionTransition-age youth (16-29 years old) are disproportionately affected by the onset, impact and burden of serious mental illness (SMI; for example, depression, bipolar disorder, schizophrenia spectrum disorders). Emerging evidence has increasingly highlighted the concept of resilience in mental health promotion and treatment approaches for this population. A comprehensive synthesis of existing evidence is needed to enhance conceptual clarity in this area, identify knowledge gaps, and inform future research and practice. As such, the present scoping review is guided by the following questions: How has resilience been conceptualised and operationalised in the transition-age youth mental health literature? What factors influence resilience among transition-age youth with SMI, and what outcomes have been studied within the context of transition-age youth's mental health recovery?Methods and analysisThe present protocol will follow six key stages, in accordance with Arksey and O'Malley's (2005) established scoping review methodology and recent iterations of this framework, and has been registered with Open Science Framework (https://osf.io/rzfc5). The protocol and review process will be carried out by a multidisciplinary team in consultation with community stakeholders. A comprehensive search strategy will be conducted across multiple electronic databases to identify relevant empirical literature. Included sources will address the population of transition-age youth (16-29 years) diagnosed with SMI, the concept of resilience (in any context) and will report original research written in English. Data screening and extraction will be completed by at least two independent reviewers. Following meta-narrative review and qualitative content analyses, findings will be synthesised as a descriptive overview with tabular and graphical summaries.Ethics and disseminationUniversity of Toronto Health Sciences Research Ethics Board approval was obtained to complete the community stakeholder consultation stage of this review. Results will be disseminated through conference presentations, publications, and user-friendly reports and graphics.
| S-EPMC9486183 | biostudies-literature
Project description:BackgroundSevere mental illness (SMI) incorporates schizophrenia, bipolar disorder, non-organic psychosis, personality disorder or any other severe and enduring mental health illness. Medication, particularly antipsychotics and mood stabilisers are the main treatment options. Medication optimisation is a hallmark of medication safety, characterised by the use of collaborative, person-centred approaches. There is very little published research describing medication optimisation with people living with SMI.ObjectivePublished literature and two stakeholder groups were employed to answer: What works for whom and in what circumstances to optimise medication use with people living with SMI in the community?MethodsA five-stage realist review was co-conducted with a lived experience group of individuals living with SMI and a practitioner group caring for individuals with SMI. An initial programme theory was developed. A formal literature search was conducted across eight bibliographic databases, and literature were screened for relevance to programme theory refinement. In total 60 papers contributed to the review. 42 papers were from the original database search with 18 papers identified from additional database searches and citation searches conducted based on stakeholder recommendations.ResultsOur programme theory represents a continuum from a service user's initial diagnosis of SMI to therapeutic alliance development with practitioners, followed by mutual exchange of information, shared decision-making and medication optimisation. Accompanying the programme theory are 11 context-mechanism-outcome configurations that propose evidence-informed contextual factors and mechanisms that either facilitate or impede medication optimisation. Two mid-range theories highlighted in this review are supported decision-making and trust formation.ConclusionsSupported decision-making and trust are foundational to overcoming stigma and establishing 'safety' and comfort between service users and practitioners. Avenues for future research include the influence of stigma and equity across cultural and ethnic groups with individuals with SMI; and use of trained supports, such as peer support workers.Prospero registration numberCRD42021280980.
| S-EPMC11671929 | biostudies-literature
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.
| S-EPMC7027903 | biostudies-literature
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.
| S-EPMC7525931 | biostudies-literature
Project description:BackgroundExposure to second-generation antipsychotics (SGAs) carries a risk of type 2 diabetes, but questions remain about the diabetogenic effects of SGAs.AimsTo assess the diabetes risk associated with two frequently used SGAs.MethodThis was a retrospective cohort study of adults with schizophrenia, bipolar I disorder or severe major depressive disorder (MDD) exposed during 2008-2013 to continuous monotherapy with aripiprazole or olanzapine for up to 24 months, with no pre-period exposure to other antipsychotics. Newly diagnosed type 2 diabetes was quantified with targeted minimum loss-based estimation; risk was summarised as the restricted mean survival time (RMST), the average number of diabetes-free months. Sensitivity analyses were used to evaluate potential confounding by indication.ResultsAripiprazole-treated patients had fewer diabetes-free months compared with olanzapine-treated patients. RMSTs were longer in olanzapine-treated patients, by 0.25 months [95% CI: 0.14, 0.36], 0.16 months [0.02, 0.31] and 0.22 months [0.01, 0.44] among patients with schizophrenia, bipolar I disorder and severe MDD, respectively. Although some sensitivity analyses suggest a risk of unobserved confounding, E-values indicate that this risk is not severe.ConclusionsUsing robust methods and accounting for exposure duration effects, we found a slightly higher risk of type 2 diabetes associated with aripiprazole compared with olanzapine monotherapy regardless of diagnosis. If this result was subject to unmeasured selection despite our methods, it would suggest clinician success in identifying olanzapine candidates with low diabetes risk. Confirmatory research is needed, but this insight suggests a potentially larger role for olanzapine in the treatment of well-selected patients, particularly for those with schizophrenia, given the drug's effectiveness advantage among them.
| S-EPMC11698215 | biostudies-literature