Canadian Network for Mood and Anxiety Treatments (CANMAT) 2023 Update on Clinical Guidelines for Management of Major Depressive Disorder in Adults: Réseau canadien pour les traitements de l'humeur et de l'anxiété (CANMAT) 2023 : Mise à jour des lignes directrices cliniques pour la prise en charge du trouble dépressif majeur chez les adultes.

BACKGROUND: The Canadian Network for Mood and Anxiety Treatments (CANMAT) last published clinical guidelines for the management of major depressive disorder (MDD) in 2016. Owing to advances in the field, an update was needed to incorporate new evidence and provide new and revised recommendations for the assessment and management of MDD in adults. METHODS: CANMAT convened a guidelines editorial group comprised of academic clinicians and patient partners. A systematic literature review was conducted, focusing on systematic reviews and meta-analyses published since the 2016 guidelines. Recommendations were organized by lines of treatment, which were informed by CANMAT-defined levels of evidence and supplemented by clinical support (consisting of expert consensus on safety, tolerability, and feasibility). Drafts were revised based on review by patient partners, expert peer review, and a defined expert consensus process. RESULTS: The updated guidelines comprise eight primary topics, in a question-and-answer format, that map a patient care journey from assessment to selection of evidence-based treatments, prevention of recurrence, and strategies for inadequate response. The guidelines adopt a personalized care approach that emphasizes shared decision-making that reflects the values, preferences, and treatment history of the patient with MDD. Tables provide new and updated recommendations for psychological, pharmacological, lifestyle, complementary and alternative medicine, digital health, and neuromodulation treatments. Caveats and limitations of the evidence are highlighted. CONCLUSIONS: The CANMAT 2023 updated guidelines provide evidence-informed recommendations for the management of MDD, in a clinician-friendly format. These updated guidelines emphasize a collaborative, personalized, and systematic management approach that will help optimize outcomes for adults with MDD.

Marked Increase in Amphetamine-Related Emergency Department Visits and Inpatient Admissions in Toronto, Canada, 2014-2021.

BACKGROUND: We report emergency department and inpatient amphetamine-related trends focusing on co-occurring substance use and psychiatric diagnoses at the Centre for Addiction and Mental Health, the largest mental health teaching hospital in Canada. METHODS: We describe yearly trends in amphetamine-related Centre for Addiction and Mental Health emergency department visits and inpatient admissions out of all emergency department visits and inpatient admissions between 2014 and 2021, along with proportions of concurrent substance-related admissions and mental/psychotic disorders emergency department visits and inpatient admissions among amphetamine-related contacts; joinpoint regression analyses assessed changes in amphetamine-related emergency department visits and inpatient admissions. RESULTS: Amphetamine-related emergency department visits rose from 1.5% in 2014 to 8.3% in 2021, with a peak of 9.9% in 2020. Amphetamine-related inpatient admissions rose from 2.0% to 8.8% in 2021, with a peak of 8.9% in 2020. Significant increasing trends in the percentage of amphetamine-related emergency department visits happened especially between the second and the fourth quarter of 2014 (quarterly percent change = + 71.4, P <0.01). Similarly, the percentage of amphetamine-related inpatient admissions increased mostly between the second quarter of 2014 and the third quarter of 2015 (quarterly percent change = + 32.6, P <0.01). The proportion of concurrent opioid-related contacts among amphetamine-related emergency department visits and inpatient admission increased markedly between 2014 and 2021; psychotic disorders in amphetamine-related inpatient admissions more than doubled from 2015 to 2021. DISCUSSION: Prevalence of amphetamine use, mostly from methamphetamine, has been increasing in Toronto as have co-occurring psychiatric disorders and opioid use. Our findings highlight the need for increases in accessible efficacious treatments for complex populations with polysubstance use and co-occurring disorders.

Patient Safety and Mental Health-A Growing Quality Gap in Canada.

Patient safety research in mental health has focused mainly on suicide and violence risk at the expense of other domains of safety. In Canada, we lack a national strategy or research agenda for this important area. This piece calls on psychiatrists to consider the scope of missed opportunities in patient safety in current practice and presents how to begin to consider the safety of our patients in a systematic manner.

Review of Use of Asynchronous Technologies Incorporated in Mental Health Care.

PURPOSE OF REVIEW: Mental health clinicians should understand how technologies augment, enhance, and provide alternate means for the delivery of mental healthcare. These technologies can be used asynchronously, in which the patient and the clinician need not be communicating at the same time. This contrasts with synchronous technologies, in which patient and clinician must communicate at the same time. RECENT FINDINGS: The review is based on research literature and the authors' clinical and healthcare administration experiences. Asynchronous technologies can exist between a single clinician and a single patient, such as patient portal e-mail and messaging, in-app messaging, asynchronous telepsychiatry via store-and-forward video, and specialty patient-to-provider mobile apps. Asynchronous technologies have already been used in different countries with success, and can alleviate the psychiatric workforce shortage and improve barriers to access. Multiple studies referred to in this review demonstrate good retention and acceptability of asynchronous psychotherapy interventions by patients. Asynchronous technologies can alleviate access barriers, such as geographical, scheduling, administrative, and financial issues. It is important for clinicians to understand the efficacy, assess the ethics, and manage privacy and legal concerns that may arise from using asynchronous technologies.

The Use of Text Messaging as an Adjunct to Internet-Based Cognitive Behavioral Therapy for Major Depressive Disorder in Youth: Secondary Analysis.

BACKGROUND: As an established treatment for major depressive disorder (MDD), cognitive behavioral therapy (CBT) is now implemented and assessed in internet-based formats that, when combined with smartphone apps, enable secure text messaging. As an adjunct to such internet-based CBT (ICBT) approaches, text messaging has been associated with increased adherence and therapeutic alliance. OBJECTIVE: This study analyzed data from the intervention arm of a randomized control trial evaluating 24-week ICBT for MDD (intervention arm) against standard-care psychiatry (waitlist control). The aim of this secondary analysis was to assess MDD symptom improvement in relation to the frequency and content of text messages sent by ICBT participants to Navigator-Coaches during randomized control trial participation. Higher text frequency in general and in 3 conceptual categories (appreciating alliance, alliance building disclosures, and agreement confirmation) was hypothesized to predict larger MDD symptom improvement. METHODS: Participants were young adults (18-30 years) from the Centre for Addiction and Mental Health. The frequencies of categorized texts from 20 ICBT completers were analyzed with respect to MDD symptom improvement using linear regression models. Texts were coded by 2 independent coders and categorized using content analysis. MDD symptoms were measured using the Beck Depression Inventory-II (BDI-II). RESULTS: Participants sent an average of 136 text messages. Analyses indicated that BDI-II improvement was negatively associated with text messaging frequency in general (ß=-0.029, 95% CI -0.11 to 0.048) and in each of the 3 categories: appreciating alliance (ß=-0.096, 95% CI -0.80 to 0.61), alliance building disclosures (ß=-0.098, 95% CI -0.28 to 0.084), and agreement confirmation (ß=-0.076, 95% CI -0.40 to 0.25). Altogether, the effect of text messaging on BDI-II improvement was uniformly negative across statistical models. More text messaging appeared associated with less MDD symptom improvement. CONCLUSIONS: The hypothesized positive associations between conceptually categorized text messages and MDD symptom improvement were not supported in this study. Instead, more text messaging appeared to indicate less treatment benefit. Future studies with larger samples are needed to discern the optimal use of text messaging in ICBT approaches using adjunctive modes of communication. TRIAL REGISTRATION: Clinical Trials.gov NCT03406052; https://www.clinicaltrials.gov/ct2/show/NCT03406052.

Commentary: Minding the Gap in Access to Mental Health Services - Calling for Smart Funding, Not Just More Funding.

In response to the paper by Gatov and colleagues (2023), the authors of this commentary, both psychiatrists, consider ways of addressing long-standing gaps in access to mental health services in Canada. They note the innovation seen during the COVID-19 pandemic with the rise of virtual care because of viral threat and economic imperative. Drawing on examples, including the UK-based experiment with publicly funded psychotherapy, they discuss the need for more flexible provider models of care (read: non-physician), better data collection and the potential of artificial intelligence. They conclude by calling for smarter funding, not just more funding.

The Role of Daily Steps in the Treatment of Major Depressive Disorder: Secondary Analysis of a Randomized Controlled Trial of a 6-Month Internet-Based, Mindfulness-Based Cognitive Behavioral Therapy Intervention for Youth.

BACKGROUND: Current evidence supports physical activity (PA) as an adjunctive treatment for major depressive disorder (MDD). Few studies, however, have examined the relationship between objectively measured PA and MDD treatment outcomes using prospective data. OBJECTIVE: This study is a secondary analysis of data from a 24-week internet-based, mindfulness-based cognitive behavioral therapy program for MDD. The purpose of this analysis was twofold: (1) to examine average daily step counts in relation to MDD symptom improvement, and whether pain moderated this relationship; and (2) to examine whether changes in step activity (ie, step trajectories) during treatment were associated with baseline symptoms and symptom improvement. METHODS: Patients from the Centre for Addiction and Mental Health were part of a randomized controlled trial evaluating the effects of internet-based, mindfulness-based cognitive behavioral therapy for young adults (aged 18-30 years old) with MDD. Data from 20 participants who had completed the intervention were analyzed. PA, in the form of objectively measured steps, was measured using the Fitbit-HR Charge 2 (Fitbit Inc), and self-reported depression severity was measured with the Beck Depression Inventory-II (BDI-II). Linear regression analysis was used to test PA's relationship with depression improvement and the moderating effect of pain severity and pain interference. Growth curve and multivariable regression models were used to test longitudinal associations. RESULTS: Participants walked an average of 8269 steps per day, and each additional +1000-step difference between participants was significantly associated with a 2.66-point greater improvement (reduction) in BDI-II, controlling for anxiety, pain interference, and adherence to Fitbit monitoring (P=.02). Pain severity appeared to moderate (reduce) the positive effect of average daily steps on BDI-II improvement (P=.03). Higher baseline depression and anxiety symptoms predicted less positive step trajectories throughout treatment (Ps≤.001), and more positive step trajectories early in the trial predicted greater MDD improvement at the end of the trial (Ps<.04). However, step trajectories across the full duration of the trial did not significantly predict MDD improvement (Ps=.40). CONCLUSIONS: This study used objective measurements to demonstrate positive associations between PA and depression improvement in the context of cognitive behavioral treatment. Pain appeared to moderate this relationship, and baseline symptoms of anxiety and depression predicted PA trajectories. The findings inform future interventions for major depression. Future research with larger samples should consider additional moderators of PA-related treatment success and the extent to which outcomes are related to PA change in multimodal interventions. TRIAL REGISTRATION: Clinical Trials.gov NCT03406052; https://www.clinicaltrials.gov/ct2/show/NCT03406052. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/11591.

Therapist Feedback and Implications on Adoption of an Artificial Intelligence-Based Co-Facilitator for Online Cancer Support Groups: Mixed Methods Single-Arm Usability Study.

BACKGROUND: The recent onset of the COVID-19 pandemic and the social distancing requirement have created an increased demand for virtual support programs. Advances in artificial intelligence (AI) may offer novel solutions to management challenges such as the lack of emotional connections within virtual group interventions. Using typed text from online support groups, AI can help identify the potential risk of mental health concerns, alert group facilitator(s), and automatically recommend tailored resources while monitoring patient outcomes. OBJECTIVE: The aim of this mixed methods, single-arm study was to evaluate the feasibility, acceptability, validity, and reliability of an AI-based co-facilitator (AICF) among CancerChatCanada therapists and participants to monitor online support group participants' distress through a real-time analysis of texts posted during the support group sessions. Specifically, AICF (1) generated participant profiles with discussion topic summaries and emotion trajectories for each session, (2) identified participant(s) at risk for increased emotional distress and alerted the therapist for follow-up, and (3) automatically suggested tailored recommendations based on participant needs. Online support group participants consisted of patients with various types of cancer, and the therapists were clinically trained social workers. METHODS: Our study reports on the mixed methods evaluation of AICF, including therapists' opinions as well as quantitative measures. AICF's ability to detect distress was evaluated by the patient's real-time emoji check-in, the Linguistic Inquiry and Word Count software, and the Impact of Event Scale-Revised. RESULTS: Although quantitative results showed only some validity of AICF's ability in detecting distress, the qualitative results showed that AICF was able to detect real-time issues that are amenable to treatment, thus allowing therapists to be more proactive in supporting every group member on an individual basis. However, therapists are concerned about the ethical liability of AICF's distress detection function. CONCLUSIONS: Future works will look into wearable sensors and facial cues by using videoconferencing to overcome the barriers associated with text-based online support groups. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/21453.