Tag: AI

Reading of the Week: More Therapy, More Inequity? The New JAMA Psych Study; Also, Dr. Reimer on Living with Depression and Generative AI & Biases

January 23, 2025 /

From the Editor

What has been the most significant innovation in mental healthcare delivery in recent years? It wasn’t a new medication or therapy, but the widespread adoption of the webcam in 2020. Over the course of a handful of pandemic weeks, psychiatrists and therapists switched to virtual sessions, making it easier for people to receive care, including psychotherapy, unbound by geography, and thus addressing inequity – or, at least, that was the hope. As noted recently in The New York Times: “In the 1990s, teletherapy was championed as a way to reach disadvantaged patients living in remote locations where there were few psychiatrists. A decade later, it was presented as a more accessible alternative to face-to-face sessions, one that could radically lower barriers to care.”

So, are more people receiving psychotherapy? And has this new era of virtual care resulted in better access for all? Dr. Mark Olfson (of Columbia University) and his co-authors attempt to answer these questions in a new paper for JAMA Psychiatry. Drawing on the data of more than 90 000 Americans, they analyzed trends in outpatient psychotherapy in the US, finding more care than ever before. That said, they note greater inequity: “psychotherapy use increased significantly faster among several socioeconomically advantaged groups and that inequalities were evident in teletherapy access.” We consider the study and its implications.

As doctors, we often shy away from discussing our health, especially our mental health – even with our own physicians. This is particularly concerning because doctors have a higher suicide rate than the general population, yet fears of vulnerability, judgment, and stigma keep many of us silent. In this episode of Quick Takes, I sit down with Dr. Joss Reimer, president of the Canadian Medical Association, who openly shares her own experiences with depression, as a doctor and as a patient. “We all need help sometimes.”

And in the third selection, Matthew Flathers (of Harvard University) et al. analyze AI depictions of psychiatric diagnoses in a new paper for BMJ Mental Health. They tested two AI image models with different diagnoses and commented on the results. “Generative AI models acquire biases at every stage of their development – from societal prejudice in online training data, to the optimisation metrics and safety guidelines each developer puts in place. These layered biases persist even when their precise origins remain elusive.”

DG

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Reading of the Week: Suicide Barriers & Suicide Prevention – the New CJP Study; Also, the Future of Education and AI & Diagnoses

November 28, 2024 /

From the Editor

The idea is simple: if certain locations attract suicidal individuals, making it harder for suicides to occur at those places can help. After much debate, in 2003, the City of Toronto did exactly that, constructing a suicide barrier for the Bloor Viaduct. Suicides immediately declined. 

What has been the long-term effect? And have the means of suicide deaths simply shifted? In the first selection, Dr. Mark Sinyor (of the University of Toronto) and his co-authors attempt to answer these questions. In a new study published in The Canadian Journal of Psychiatry, they drew on over two decades of data to analyze the impact of this suicide barrier. “Contrary to initial findings, these results indicate an enduring suicide prevention effect of the Bloor Viaduct suicide barrier.” We consider the study and its implications.

Pretty but lifesaving?

When it comes to medical education, much has changed over the years – including its name. What was once known as Continuing Medical Education (CME) is now referred to as Continuing Professional Development (CPD). But the changes go far beyond a simple rebranding. After all, the sheer volume of journal articles available today is staggering. How can you keep up? How can technology help? In the second selection, a new Quick Takes podcast, I speak with Dr. Sanjeev Sockalingam (of the University of Toronto) to explore the evolving world of CPD. “It took a pandemic to get us to realize that we could do so much online.”

Finally, in the third selection, from JAMA Network Open, Dr. Ethan Goh (of Stanford University) and his colleagues wonder if AI can assist physicians in making diagnoses. In an RCT, physicians were randomized to either conventional resources or those enhanced by access to AI (specifically, LLM). “In this trial, the availability of an LLM to physicians as a diagnostic aid did not significantly improve clinical reasoning compared with conventional resources.”

DG

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Reading of the Week: Care & Technology – Papers on Virtual Care and an App for Alcohol; Also, Dr. Reisman on ChatGPT & Bedside Manner

October 17, 2024 /

From the Editor

With COVID-19, mental health services were transformed in a matter of weeks when much care shifted to virtual. Today, we are all proficient in our webcams and familiar with terms like Zoom fatigue.

From a system perspective, we have unanswered questions: What’s the right amount of virtual care? When is it appropriate? In the first selection, Matthew Crocker (of the Canadian Institute for Health Information) and his co-authors focus on virtual versus in-person follow-up care after an ED visit in Ontario. Drawing on databases, they analyzed more than 28 000 such visits, wondering if the virtual option led to more adverse psychiatric outcomes. “These results support virtual care as a modality to increase access to follow-up after an acute care psychiatric encounter across a wide range of diagnoses.” We consider the paper and its implications.

Apps for mental health are increasingly popular; the mental health app market may be worth more than $24 billion by 2030, according to one estimate. In the second selection from Internet Interventions, John A. Cunningham (of the University of Toronto) and co-authors describe a new RCT involving participants who were concerned about their drinking. 761 were given either an app with several intervention modules or just educational materials. They were then followed for six months. “The results of this trial provide some supportive evidence that smartphone apps can reduce unhealthy alcohol consumption.”

And in the third selection, Dr. Jonathan Reisman, an ED physician, writes about AI. In a provocative essay for The New York Times, he argues that physicians often rely on scripts to seem compassionate – such as when we deliver bad news. AI, he reasons then, could do that well. “It doesn’t actually matter if doctors feel compassion or empathy toward patients; it only matters if they act like it. In much the same way, it doesn’t matter that A.I. has no idea what we, or it, are even talking about.”

DG

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Reading of the Week: In-person vs. Remote CBT – the New CMAJ Study; Also, Treatment & Opioids in the US, and AI & Med School Exams

July 25, 2024 /

From the Editor

In the early days of the pandemic, patients connected with us virtually from their kitchens and bedrooms – and, yes, their closets and washrooms. But as COVID-19 fades, we may wonder: what care should be delivered virtually and what should be done in person?

In the first selection, Sara Zandieh (of McMaster University) and her co-authors examine remote versus in-person CBT in a new CMAJ study. They conducted a systematic review and meta-analysis with 54 randomized controlled trials and almost 5 500 participants, addressing both physical and mental problems. “Moderate-certainty evidence showed little to no difference in the effectiveness of in-person and therapist-guided remote CBT across a range of mental health and somatic disorders, suggesting potential for the use of therapist-guided remote CBT to facilitate greater access to evidence-based care.” We consider the paper and its implications.

In the second selection, Dr. Tae Woo Park (of the University of Pittsburgh) and his co-authors explore opioid use disorder (OUD) treatment. In their JAMA research letter, they compared medication and psychosocial treatments for OUD across the United States, surveying more than 17 000 facilities and analyzing the availability of evidenced-based interventions like buprenorphine and contingency management. “Substance use treatment facilities reported significant gaps in provision of effective treatments for OUD.”

And in the third selection from CNBC, Dr. Scott Gottlieb and Shani Benezra (both of the American Enterprise Institute) describe their experiment: they tasked several large language models with answering questions from the USMLE Step 3. The average resident score is 75%; four of five AI programs surpassed that benchmark. “[These models] may offer a level of precision and consistency that human providers, constrained by fatigue and error, might sometimes struggle to match, and open the way to a future where treatment portals can be powered by machines, rather than doctors.”

There will be no Reading next week.

DG

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Reading of the Week: Preventing Postpartum Depression in Pakistan – the New Nature Med Study; Also, Deaths of Despair and ChatGPT & Abstracts

April 18, 2024 /

From the Editor

Imagine that you are asked to design a program to prevent depression in a population at risk. Would you hire psychiatrists? Look to nurses? Tap the expertise of psychologists? All three?

In the first selection from Nature Medicine, Pamela J. Surkan (of Johns Hopkins University) and her co-authors describe a study that focused on prevention. As they worked in Pakistan – a nation with few mental health providers by Western standards – they chose to train lay people, teaching them to deliver CBT. In their single-blind, randomized controlled trial, 1 200 women who were pregnant and had anxiety (but not depression) were given enhanced usual care or CBT. “We found reductions of 81% and 74% in the odds of postnatal MDE and of moderate-to-severe anxiety…” We discuss the paper and its implications.

In the second selection, Joseph Friedman and Dr. Helena Hansen (both of the University of California, Los Angeles) look at deaths of despair in the United States in a research letter for JAMA Psychiatry. Their work builds on the idea that some deaths are related to the hopelessness of a person’s social or economic circumstance; past publications focused largely on White Americans. Friedman and Hansen drew on more than two decades of data, including ethnicity, from a US database, finding a different pattern and that: “Rising inequalities in deaths of despair among American Indian, Alaska Native and Black individuals were largely attributable to disproportionate early mortality from drug- and alcohol-related causes…”

A recent survey finds that psychiatrists see AI as potentially helpful with paperwork and diagnosing patients. But could AI help you keep up with the literature? In the third selection from Annals of Family Medicine, Dr. Joel Hake (of the University of Kansas) and his co-authors used ChatGPT to produce short summaries of studies, then evaluated their quality, accuracy, and bias. “We suggest that ChatGPT can help family physicians accelerate review of the scientific literature.”

DG

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Reading of the Week: tDCS for Depression – the New JAMA Psych Paper; Also, Psychiatrists & AI and Dr. Daniel Gorman on Charlatan Syndrome

April 11, 2024 /

From the Editor

In her autobiography, psychiatrist Linda Gask writes about her struggles with depression and the moment she realized that she was better: she started to hear the birds chirping again. For many of our patients, the songs of the birds remain elusive. Antidepressants work but some patients don’t respond, and others are cool to the idea of medication management. CBT is effective but difficult to access. What about Transcranial Direct Current Stimulation (tDCS) – an intervention that could be done at home?

Dr. Lucas Borrione (of the University of São Paulo) and his co-authors try to answer that question in a new JAMA Psychiatry paper. They report on a randomized clinical trial including 210 Brazilian adults with a major depressive episode who were offered tDCS and a digital intervention; the study featured two sham interventions. “The findings indicate that unsupervised home use tDCS should not be currently recommended in clinical practice.” We consider the paper and its clinical implications.

Would tDCS have helped?

Artificial intelligence is having a moment. Not surprisingly, many are seeing the possibilities for mental health care, from better therapy to reduced paperwork. In the second selection, from Psychiatry Research, Charlotte Blease (of Uppsala University) and her co-authors report on the findings of a survey of 138 psychiatrists with both qualitative and quantitative data. “The foremost interest was around the potential of these tools to assist psychiatrists with documentation.”

And in the third selection, Dr. Daniel Gorman (of the University of Toronto) writes about the struggles of taking a child to Disney World in JAMA. Any parent – or aunt or cousin or older sib – can relate. But Dr. Gorman notes the particular challenges that he faces: he’s a child psychiatrist. “Sometimes I fantasize about sharing with parents my doubts about parenting strategies, but the risks always seem too great – the risk of discrediting myself and my profession and the risk of robbing parents of agency and hope.”

DG

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Reading of the Week: Can Chatbots & AI Help Access? The new Nature Med Paper; Also, Telepsych in the US and the Latest in the News

February 15, 2024 /

From the Editor

More and more organizations use AI; today, a chatbot might assist you in ordering a pizza or tracking a package. But could a chatbot help our patients find the mental health care that they need? Could it help self-identified members of ethnic groups – who historically do less well in getting services – with access?

Johanna Habicht (of Limbic) and her co-authors try to answer these questions in a new study for Nature Medicine. They looked at the use of a chatbot for self-referral against the standard option in the UK’s NHS when patients seek psychological care. The resulting multisite observational study involved almost 130 000 people. They found that AI increased referrals (especially, in terms of diversity). “Here we demonstrate that digital tools can reduce the accessibility gap by addressing several key barriers.” We look at the study and mull its implications.

As we move past the pandemic, we ask: is virtual care routinely offered for mental disorders? In the second selection from JAMA Health Forum, Jonathan Cantor (of the RAND Corporation) and his colleagues consider mental telehealth – or telepsychiatry, to use the older term – in the United States. With a secret shopper approach, trained callers phoned more than 1 400 US clinics, posing as potential clients with mental health problems. They found most offered virtual care. Further: “There were no differences in the availability of mental telehealth services based on the prospective patient’s clinical condition, perceived race or ethnicity, or sex.”

And, finally, we explore the latest in the news with recent articles from The Guardian and The New York Times. Among the topics: the mental health struggles of rising political star Lina Hidalgo, privacy and mental health apps, and help for those with schizophrenia and homelessness in Cameroon.

DG

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Reading of the Week: Global Burden of Schizophrenia – the new Molecular Psych Study; Also, MedEd’s Evolution & Saxbe on Helping Depressed Teens

November 30, 2023 /

From the Editor

Is there more mental illness than before? Or is there greater awareness? 

Dr. Marco Solmi (of the University of Ottawa) and his co-authors attempt to answer these questions in a new paper for Molecular Psychiatry that focuses on schizophrenia. Drawing on 30 years of data globally, they consider prevalence (how many have the illness), incidence (the number who develop it each year), and the disability-adjusted life-years (the loss of one healthy year of life) using more than 86 000 points of data. They find: “Globally, we show that, from 1990 to 2019, raw prevalence increased by over 65%, incidence by 37.11%, DALYs by over 65%, but age-adjusted prevalence and incidence estimates showed a slight decrease, and burden did not change.” We consider the paper and its implications.

Textbooks, highlighters, and classrooms? The world of medical education is changing. Today, we have AI, sim, and e-learning. In the second selection, we look at the new Quick Takes podcast with Dr. Ivan Silver (of the University of Toronto), former vice president of education at CAMH who marvels at the potential. “This is the renaissance period for health professional education.” 

And in the third selection, psychologist Darby Saxbe (of the University of Southern California) writes in The New York Times about ways to help depressed adolescents. Drawing on recent studies showing the failure of school-based psychosocial interventions, she argues for a different approach. “It’s critical to keep pace with the evidence and attend to the first principle of all health care providers: First, do no harm.”

DG

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Reading of the Week: MAiD, Suicide & the Patient-Family Perspective – the new CJP Paper; Also, AI & Misinformation, and Palus on Mental Health Merch 

November 9, 2023 /

From the Editor

In March, medical assistance in dying will be expanded in Canada to include those with mental illness. Not surprisingly, many people feel strongly about it, with some seeing the change as a natural extension of basic rights and others arguing that it will be a profound mistake. 

What do patients and family members think? How does it relate to their views of suicide in general? Lisa Hawke (of the University of Toronto) and her co-authors attempt to answer these questions in a new Canadian Journal of Psychiatry paper. They do a qualitative analysis, interviewing 30 people with mental illness and 25 family members on medical assistance in dying when the sole underlying medical condition is mental illness (or MAiD MI-SUMC). “Participants acknowledge the intersections between MAiD MI-SUMC and suicidality and the benefits of MAiD MI-SUMC as a more dignified way of ending suffering, but also the inherent complexity of considering [such] requests in the context of suicidality.” We consider the paper and its implications.

In the second selection, Dr. Scott Monteith (of Michigan State University) and his co-authors write about artificial intelligence and misinformation in a new British Journal of Psychiatry paper. They note the shift in AI – from predictive models to generative AI – and its implications for patients. “Misinformation created by generative AI about mental illness may include factual errors, nonsense, fabricated sources and dangerous advice.”

And in the third selection, writer Shannon Palus discusses the rise of “mental health merch” – clothing items and other merchandise that tout mental health problems, including a pricey sweatshirt with “Lexapro” written on the front (the US brand name for escitalopram). In Slate, Palus discusses her coolness to such things. “As a person who struggles with her own mental health, as a Lexapro taker – well, I hate this trend, honestly! I find it cloying and infantilizing.”

Note that there will be no Reading next week.

DG

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Reading of the Week: Self-stigma & Depression – the new JAD Study; Also, ChatGPT & Mental Health Care, and Dr. Catherine Hickey on the Opioid Crisis

November 2, 2023 /

From the Editor 

Depression is the result of character weakness. So explained my patient who had a major depressive disorder and hesitated to take medications.

Though fading, stigma about mental illness continues to exist, including self-stigma, the negative thoughts and beliefs that patients have about their own disease – as with my patient. How common is self-stigma? How does its prevalence differ around the globe? What are risk factors for it? Nan Du (of the University of Hong Kong) and co-authors attempt to answer these questions in a new Journal of Affective Disorders paper. They do a systematic review and meta-analysis of self-stigma for people with depression, drawing on 56 studies with almost 12 000 participants, and they a focus on international comparisons. “The results showed that the global prevalence of depression self-stigma was 29%. Levels of self-stigma varied across regions, but this difference was not significant.” We consider the paper and its clinical implications.

In this week’s second selection, we look at ChatGPT and mental health care. Dr. John Torous (of Harvard University) joins me for a Quick Takes podcast interview. He sees potential for patients – including making clinical notes more accessible by bridging language and knowledge divides – and for physicians, who may benefit from a more holistic differential diagnosis and treatment plan based on multiple data sets. He acknowledges problems with privacy, accuracy, and ChatGPT’s tendency to “hallucinate,” a term he dislikes. “We want to really be cautious because these are complex pieces of software.” 

And in the third selection, Dr. Catherine Hickey (of Memorial University) writes about the opioid crisis for Academic Psychiatry. The paper opens personally, with Dr. Hickey describing paramedics trying to help a young man who had overdosed. She considers the role of psychiatry and contemplates societal biases. “[I]n a better world, the needless deaths of countless young people would never be tolerated, regardless of their skin color.”

DG

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