6 research outputs found

    Introducing a Systematic Approach to Clozapine Monitoring in a Community (Adult) Mental Health Service

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    Change management is now considered a core managerial competency. Under the fiscal and regulatory environment that currently applies, healthcare managers and professionals must be competent in initiating, guiding and managing change to drive efficient and effective delivery of care. This dissertation describes a successful journey through a planned change effort. An evidence-based approach to monitoring adverse effects of clozapine was implemented in a Community (Adult) Mental health Team. Clozapine has the sole license for treatment-resistant schizophrenia, but has been associated with several potentially life-threatening adverse effects. Accumulating evidence suggests that not enough attention is paid to recognising and addressing these adverse effects, a finding replicated in an internal audit of practice within this service. Additional external regulatory imperatives provided further impetus for change. The change was implemented using the HSE change model as a guiding tool. A range of qualitative and quantitative tools that were used to evaluate the change revealed successful attainment of set objectives, and also identified early signs for long term sustenance and continuous quality improvements. On reflection, the challenges encountered during this project have had considerable formative impact on the learning and practice of the author. It is hoped that future service evaluations will confirm attainment of its intended long term impact, while also providing objective bases for further continuous quality improvement initiatives

    Two psychiatric presentations linked with ‘head shop’ products.

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    We report two cases of acute onset and rapid resolution of psychotic symptoms, the first following oral ingestion and the second following intravenous injection of some head shop products (HSPs). Both were associated with autonomic instability and negative results on urine toxicology screening using standard techniques. They highlight the potential dangers of managing such cases in acute stand-alone psychiatric units. Recent advance in characterising some HSPs by toxicology screening is also discussed

    Prevalence and Correlates of Likely Major Depressive Disorder among Medical Students in Alberta, Canada

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    Background: Medical students are exposed to multiple factors during their academic and clinical studies that contribute to depression. Aims: This study aims to examine the prevalence and correlates of likely major depressive disorder (MDD) among medical students. Methods: This study utilized a descriptive cross-sectional design. Data were collected through a self-administered online survey, which included questions on sociodemographic characteristics and likely MDD using the PHQ-9. Data were analyzed using a descriptive, Chi-square test and logistic regression model. Results: There were 246 medical students who participated in the survey. The majority were females, 155 (65.1%); Caucasian, 158 (66.4%); and in a relationship, 168 (70.5%). The prevalence of likely MDD was 29.1%. Respondents who did not feel supported and respondents who were neutral about their social support, friends, and family, were 11 and 4 times more likely to experience MDD than those who felt well supported (OR = 11.14; 95% CI: 1.14–108.80) and (OR = 4.65; 95% CI: 1.10–19.56), respectively. Conclusions: This study suggests a high prevalence of likely MDD among medical students who do not feel they have sufficient social support from friends and family. Social adjustments, including talking to friends and family and participating in leisure activities, could reduce the level of depression among medical students

    Choice of antipsychotic treatment by European psychiatry trainees: are decisions based on evidence?

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    Background: Little is known about the factors influencing treatment choice in psychosis, the majority of this work being conducted with specialists (consultant) in psychiatry. We sought to examine trainees' choices of treatment for psychosis if they had to prescribe it for themselves, their patients, and factors influencing decision-making. Methods: Cross-sectional, semi-structured questionnaire-based study. Results: Of the 726 respondents (response rate = 66%), the majority chose second-generation antipsychotics (SGAs) if they had to prescribe it for themselves (n = 530, 93%) or for their patients (n = 546, 94%). The main factor influencing choice was perceived efficacy, 84.8% (n = 475) of trainees stating this was the most important factor for the patient, and 77.8% (n = 404) stating this was the most important factor for their own treatment. Trainees with knowledge of trials questioning use of SGAs (CATIE, CUtLASS, TEOSS) were more likely to choose second-generation antipsychotics than those without knowledge of these trials (chi(2) = 3.943; p = 0.047; O.R. = 2.11; 95% C.I. = 1.0-4.48). Regarding psychotherapy, cognitive behavioural therapy (CBT) was the most popular choice for self (33.1%; n = 240) and patient (30.9%; n = 224). Trainees were significantly more likely to prefer some form of psychotherapy for themselves rather than patients (chi(2) = 9.98; p < 0,002; O.R. = 1.54; 95% CIs = 1.18-2.0). Conclusions: Trainees are more likely to choose second-generation antipsychotic medication for patients and themselves. Despite being aware of evidence that suggests otherwise, they predominantly base these choices on perceived efficacy

    Reducing readmission rates for individuals discharged from acute psychiatric care in Alberta using peer and text message support: Protocol for an innovative supportive program

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    Abstract Background Individuals discharged from inpatient psychiatry units have the highest readmission rates of all hospitalized patients. These readmissions are often due to unmet need for mental health care compounded by limited human resources. Reducing the need for hospital admissions by providing alternative effective care will mitigate the strain on the healthcare system and for people with mental illnesses and their relatives. We propose implementation and evaluation of an innovative program which augments Mental Health Peer Support with an evidence-based supportive text messaging program developed using the principles of cognitive behavioral therapy. Methods A pragmatic stepped-wedge cluster-randomized trial, where daily supportive text messages (Text4Support) and mental health peer support are the interventions, will be employed. We anticipate recruiting 10,000 participants at the point of their discharge from 9 acute care psychiatry sites and day hospitals across four cities in Alberta. The primary outcome measure will be the number of psychiatric readmissions within 30 days of discharge. We will also evaluate implementation outcomes such as reach, acceptability, fidelity, and sustainability. Our study will be guided by the Consolidated Framework for Implementation Research, and the Reach-Effectiveness-Adoption-Implementation-Maintenance framework. Data will be extracted from administrative data, surveys, and qualitative methods. Quantitative data will be analysed using machine learning. Qualitative interviews will be transcribed and analyzed thematically using both inductive and deductive approaches. Conclusions To our knowledge, this will be the first large-scale clinical trial to assess the impact of a daily supportive text message program with and without mental health peer support for individuals discharged from acute psychiatric care. We anticipate that the interventions will generate significant cost-savings by reducing readmissions, while improving access to quality community mental healthcare and reducing demand for acute care. It is envisaged that the results will shed light on the effectiveness, as well as contextual barriers and facilitators to implementation of automated supportive text message and mental health peer support interventions to reduce the psychological treatment and support gap for patients who have been discharged from acute psychiatric care. Trial registration clinicaltrials.gov, NCT05133726 . Registered 24 November 202
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