keyword
https://read.qxmd.com/read/38609507/large-language-models-could-change-the-future-of-behavioral-healthcare-a-proposal-for-responsible-development-and-evaluation
#1
JOURNAL ARTICLE
Elizabeth C Stade, Shannon Wiltsey Stirman, Lyle H Ungar, Cody L Boland, H Andrew Schwartz, David B Yaden, João Sedoc, Robert J DeRubeis, Robb Willer, Johannes C Eichstaedt
Large language models (LLMs) such as Open AI's GPT-4 (which power ChatGPT) and Google's Gemini, built on artificial intelligence, hold immense potential to support, augment, or even eventually automate psychotherapy. Enthusiasm about such applications is mounting in the field as well as industry. These developments promise to address insufficient mental healthcare system capacity and scale individual access to personalized treatments. However, clinical psychology is an uncommonly high stakes application domain for AI systems, as responsible and evidence-based therapy requires nuanced expertise...
April 2, 2024: Npj Ment Health Res
https://read.qxmd.com/read/38602769/race-and-socioeconomic-status-as-predictors-of-willingness-to-use-digital-mental-health-interventions-or-one-on-one-psychotherapy-national-survey-study
#2
JOURNAL ARTICLE
Lorenzo Lorenzo-Luaces, Akash Wasil, Corinne N Kacmarek, Robert DeRubeis
BACKGROUND: There is an ongoing debate about whether digital mental health interventions (DMHIs) can reduce racial and socioeconomic inequities in access to mental health care. A key factor in this debate involves the extent to which racial and ethnic minoritized individuals and socioeconomically disadvantaged individuals are willing to use, and pay for, DMHIs. OBJECTIVE: This study examined racial and ethnic as well as socioeconomic differences in participants' willingness to pay for DMHIs versus one-on-one therapy (1:1 therapy)...
April 11, 2024: JMIR Formative Research
https://read.qxmd.com/read/38123125/mental-health-apps-for-children-and-adolescents-a-clinician-friendly-review
#3
EDITORIAL
Stephen M Schueller, Akash R Wasil, John Bunyi, Robert J DeRubeis, John R Weisz
Mobile apps for mental health and wellness (MH apps) have the potential to support youth mental health, expanding access to the large proportion of youth with mental health concerns who do not access formal treatment. Survey data suggest that young people are highly interested in MH apps, with minoritized youth (eg, LGBTQ individuals) and youth with elevated depressive symptoms reporting especially high rates of downloading MH apps.1 In addition, systematic reviews and meta-analyses suggest that MH apps can be effective...
April 2024: Journal of the American Academy of Child and Adolescent Psychiatry
https://read.qxmd.com/read/38086157/implementing-precision-methods-in-personalizing-psychological-therapies-barriers-and-possible-ways-forward
#4
JOURNAL ARTICLE
Anne-Katharina Deisenhofer, Michael Barkham, Esther T Beierl, Brian Schwartz, Katie Aafjes-van Doorn, Christopher G Beevers, Isabel M Berwian, Simon E Blackwell, Claudi L Bockting, Eva-Lotta Brakemeier, Gary Brown, Joshua E J Buckman, Louis G Castonguay, Claire E Cusack, Tim Dalgleish, Kim de Jong, Jaime Delgadillo, Robert J DeRubeis, Ellen Driessen, Jill Ehrenreich-May, Aaron J Fisher, Eiko I Fried, Jessica Fritz, Toshi A Furukawa, Claire M Gillan, J M Gómez Penedo, Peter F Hitchcock, Stefan G Hofmann, Steven D Hollon, Nicholas C Jacobson, Daniel R Karlin, Chi Tak Lee, Cheri A Levinson, Lorenzo Lorenzo-Luaces, Riley McDanal, Danilo Moggia, Mei Yi Ng, Lesley A Norris, Vikram Patel, Marilyn L Piccirillo, Stephen Pilling, Julian A Rubel, Gonzalo Salazar-de-Pablo, Jessica L Schleider, Paula P Schnurr, Stephen M Schueller, Greg J Siegle, Rudolf Uher, Ed Watkins, Christian A Webb, Shannon Wiltsey Stirman, Laure Wynants, Soo Jeong Youn, Sigal Zilcha-Mano, Wolfgang Lutz, Zachary D Cohen
No abstract text is available yet for this article.
December 1, 2023: Behaviour Research and Therapy
https://read.qxmd.com/read/38010770/a-transdiagnostic-dimensional-classification-of-anxiety-shows-improved-parsimony-and-predictive-noninferiority-to-dsm
#5
JOURNAL ARTICLE
Elizabeth C Stade, Robert J DeRubeis, Lyle Ungar, Ayelet Meron Ruscio
The current conceptualization of anxiety in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5)-which includes 11 anxiety disorders plus additional anxiety-related conditions-does not align with accumulating evidence that anxiety is transdiagnostic and dimensional in nature. Transdiagnostic dimensional anxiety models have been proposed, yet they measure anxiety at either a very broad (e.g., "anxiety") or very narrow (e.g., "performance anxiety") level, overlooking intermediate properties of anxiety that cut across DSM disorders...
November 2023: J Psychopathol Clin Sci
https://read.qxmd.com/read/37557989/urbanicity-and-depression-a-global-meta-analysis
#6
REVIEW
Colin Xu, Lucille Miao, Devon Turner, Robert DeRubeis
BACKGROUND: Previous meta-analyses have revealed that in adult and older adult populations of developed countries, depression is more prevalent in urban than rural areas. No meta-analyses have identified the effects of urbanicity on the general age demographic for developing countries. We conducted a meta-analysis of urban-rural differences in depression across all age demographics for developed and developing countries. METHODS: PubMed and PsycINFO databases were searched for studies published between 1980 and 2020...
August 7, 2023: Journal of Affective Disorders
https://read.qxmd.com/read/37485415/depression-and-anxiety-symptoms-subjective-well-being-and-happiness-among-indian-high-school-students
#7
JOURNAL ARTICLE
Suh Jung Park, Akash R Wasil, Sarah Gillespie, Rebecca M Shingleton, John R Weisz, Robert J DeRubeis
BACKGROUND: Mental health problems cause significant distress and impairment in adolescents worldwide. One-fifth of the world's adolescents live in India, and much remains to be known about their mental health and wellbeing. AIM: In this preregistered study, we aimed to estimate the rates of depressive and anxiety symptoms, examine their relationship with indicators of wellbeing, and identify correlates of mental health among Indian adolescents. METHODS: We administered self-report measures of depressive symptoms (PHQ-9), anxiety symptoms (GAD-7), wellbeing (WEMWBS), and happiness (SHS) to 1,213 Indian adolescents (52...
June 2023: Indian Journal of Psychiatry
https://read.qxmd.com/read/36698442/the-development-and-internal-evaluation-of-a-predictive-model-to-identify-for-whom-mindfulness-based-cognitive-therapy-mbct-offers-superior-relapse-prevention-for-recurrent-depression-versus-maintenance-antidepressant-medication
#8
JOURNAL ARTICLE
Zachary D Cohen, Robert J DeRubeis, Rachel Hayes, Edward R Watkins, Glyn Lewis, Richard Byng, Sarah Byford, Catherine Crane, Willem Kuyken, Tim Dalgleish, Susanne Schweizer
Depression is highly recurrent, even following successful pharmacological and/or psychological intervention. We aimed to develop clinical prediction models to inform adults with recurrent depression choosing between antidepressant medication (ADM) maintenance or switching to Mindfulness-Based Cognitive Therapy (MBCT). Using data from the PREVENT trial ( N =424), we constructed prognostic models using elastic net regression that combined demographic, clinical and psychological factors to predict relapse at 24 months under ADM or MBCT...
January 2023: Clinical Psychological Science
https://read.qxmd.com/read/35987551/which-symptoms-of-depression-and-anxiety-matter-most-an-investigation-of-subjective-importance-ratings-with-college-students-in-india
#9
JOURNAL ARTICLE
Akash R Wasil, Tanvi Malhotra, Nivedita Nandakumar, Sophia Glinski, Avantika Bhatia, Robert J DeRubeis
One goal of clinical psychological science is to help people with problems that matter to them. However, little is known about which kinds of symptoms are viewed as most important, particularly among individuals in non-western settings. We examined the extent to which young adults in India rated individual symptoms of depression and anxiety as important, concerning, and undesirable. Participants were college students at Indian Universities (n = 283). They received a measure of depressive symptoms (Patient Health Questionnaire-9) and anxiety symptoms (Generalized Anxiety Disorder Screener-7)...
September 2022: Behavior Therapy
https://read.qxmd.com/read/34945767/a-patient-stratification-approach-to-identifying-the-likelihood-of-continued-chronic-depression-and-relapse-following-treatment-for-depression
#10
JOURNAL ARTICLE
Rob Saunders, Zachary D Cohen, Gareth Ambler, Robert J DeRubeis, Nicola Wiles, David Kessler, Simon Gilbody, Steve D Hollon, Tony Kendrick, Ed Watkins, David Richards, Sally Brabyn, Elizabeth Littlewood, Debbie Sharp, Glyn Lewis, Steve Pilling, Joshua E J Buckman
BACKGROUND: Subgrouping methods have the potential to support treatment decision making for patients with depression. Such approaches have not been used to study the continued course of depression or likelihood of relapse following treatment. METHOD: Data from individual participants of seven randomised controlled trials were analysed. Latent profile analysis was used to identify subgroups based on baseline characteristics. Associations between profiles and odds of both continued chronic depression and relapse up to one year post-treatment were explored...
December 4, 2021: Journal of Personalized Medicine
https://read.qxmd.com/read/34927478/emotion-regulation-strategy-correlates-with-discrete-state-emotion-in-major-depression
#11
JOURNAL ARTICLE
Colin Xu, Haley Gelberg, Robert J DeRubeis
BACKGROUND AND OBJECTIVES: Research has shown that state emotion can affect emotion regulation strategies in healthy samples. Emotion regulation plays an important role in depression. We hypothesized that for depressed individuals, experiencing anxiety or anger affects emotion regulation strategy use differently than experiencing sadness. DESIGN AND METHODS: Individuals diagnosed with chronic or recurrent depression ( N  = 386) responded to vignettes of hypothetical stressors and reported their state emotions and emotion regulation strategies in a thought-listing procedure...
December 19, 2021: Anxiety, Stress, and Coping
https://read.qxmd.com/read/34920035/life-events-and-treatment-prognosis-for-depression-a-systematic-review-and-individual-patient-data-meta-analysis
#12
REVIEW
Dr Joshua E J Buckman, Rob Saunders, Laura-Louise Arundell, Iyinoluwa D Oshinowo, Zachary D Cohen, Ciaran O'Driscoll, Phoebe Barnett, Joshua Stott, Gareth Ambler, Prof Simon Gilbody, Prof Steven D Hollon, Prof Tony Kendrick, Prof Edward Watkins, Prof Thalia C Eley, Megan Skelton, Prof Nicola Wiles, Prof David Kessler, Prof Robert J DeRubeis, Prof Glyn Lewis, Prof Stephen Pilling
OBJECTIVE: To investigate associations between major life events and prognosis independent of treatment type: 1) after adjusting for clinical prognostic factors and socio-demographics; 2) among patients with depressive episodes at least six-months long; and 3) patients with a first life-time depressive episode. METHODS: Six RCTs of adults seeking treatment for depression in primary care met eligibility criteria, individual patient data (IPD) were collated from all six (n=2858)...
December 14, 2021: Journal of Affective Disorders
https://read.qxmd.com/read/34878526/stratified-care-vs-stepped-care-for-depression-a-cluster-randomized-clinical-trial
#13
RANDOMIZED CONTROLLED TRIAL
Jaime Delgadillo, Shehzad Ali, Kieran Fleck, Charlotte Agnew, Amy Southgate, Laura Parkhouse, Zachary D Cohen, Robert J DeRubeis, Michael Barkham
Importance: Depression is a major cause of disability worldwide. Although empirically supported treatments are available, there is scarce evidence on how to effectively personalize psychological treatment selection. Objective: To compare the clinical effectiveness and cost-effectiveness of 2 treatment selection strategies: stepped care and stratified care. Design, Setting, and Participants: This multisite, cluster randomized clinical trial recruited participants from the English National Health Service from July 5, 2018, to February 1, 2019...
February 1, 2022: JAMA Psychiatry
https://read.qxmd.com/read/34706451/which-symptoms-of-depression-and-anxiety-are-most-strongly-associated-with-happiness-a-network-analysis-of-indian-and-kenyan-adolescents
#14
JOURNAL ARTICLE
Akash R Wasil, Sarah Gillespie, Suh Jung Park, Katherine E Venturo-Conerly, Tom L Osborn, Robert J DeRubeis, John R Weisz, Payton J Jones
BACKGROUND: Network analyses have been applied to understand the relationships between individual symptoms of depression and anxiety. However, little is known about which symptoms are most strongly associated with "positive" indicators of mental health, such as happiness. Furthermore, few studies have examined symptom networks in participants from low- and middle-income countries. METHODS: To address these gaps, we applied network analyses in a sample of Indian adolescents (Study 1; n=1080) and replicated these analyses in a pre-registered study with Kenyan adolescents (Study 2; n=2176)...
December 1, 2021: Journal of Affective Disorders
https://read.qxmd.com/read/34472893/economic-evaluation-of-an-online-single-session-intervention-for-depression-in-kenyan-adolescents
#15
RANDOMIZED CONTROLLED TRIAL
Akash R Wasil, Corinne N Kacmarek, Tom L Osborn, Emma H Palermo, Robert J DeRubeis, John R Weisz, Brian T Yates
Objective: To evaluate the costs and cost-effectiveness of Shamiri-Digital , an online single-session intervention (SSI) for depression among Kenyan adolescents. Method: Data were drawn from a randomized clinical trial with n = 103 Kenyan high school students (64% female, M age = 15.5). All students were eligible to participate, regardless of baseline depression symptomatology. We estimated delivery costs in 2020 U.S. dollars from multiple perspectives. To account for uncertainty, we performed sensitivity analyses with different cost assumptions and definitions of effectiveness...
August 2021: Journal of Consulting and Clinical Psychology
https://read.qxmd.com/read/34222793/online-single-session-interventions-for-kenyan-adolescents-study-protocol-for-a-comparative-effectiveness-randomised-controlled-trial
#16
JOURNAL ARTICLE
Akash R Wasil, Tom Lee Osborn, John R Weisz, Robert J DeRubeis
Background: Mental health problems are the leading cause of disability among adolescents worldwide, yet access to treatment is limited. Brief digital interventions have been shown to improve youth mental health, but little is known about which digital interventions are most effective. Aims: To evaluate the effectiveness of two digital single-session interventions (Shamiri-Digital and Digital-CBT (cognitive-behavioural therapy)) among Kenyan adolescents. Methods: We will perform a school-based comparative effectiveness randomised controlled trial...
2021: General Psychiatry
https://read.qxmd.com/read/34121629/patients-judgments-of-the-importance-of-treatment-induced-reductions-in-symptoms-of-depression-the-role-of-specific-symptoms-magnitudes-of-change-and-post-treatment-levels
#17
JOURNAL ARTICLE
Thomas T Kim, Colin Xu, Robert J Derubeis
Objective: An implicit assumption in the use of depressive severity measures to assess change during treatment, such as the Hamilton Rating Scale for Depression (HRSD), is that reductions from pre- to post-treatment that are equal to each other are of equal value. However, stakeholders' valuations of changes might depart substantially from this assumption. Method: Vignettes were constructed that reflected the six possible 1, 2, and 3-point reductions on five cognitive and four somatic symptoms derived from the HRSD...
June 14, 2021: Psychotherapy Research: Journal of the Society for Psychotherapy Research
https://read.qxmd.com/read/34085036/evaluating-the-effectiveness-of-personalized-medicine-with-software
#18
JOURNAL ARTICLE
Adam Kapelner, Justin Bleich, Alina Levine, Zachary D Cohen, Robert J DeRubeis, Richard Berk
We present methodological advances in understanding the effectiveness of personalized medicine models and supply easy-to-use open-source software. Personalized medicine involves the systematic use of individual patient characteristics to determine which treatment option is most likely to result in a better average outcome for the patient. Why is personalized medicine not done more in practice? One of many reasons is because practitioners do not have any easy way to holistically evaluate whether their personalization procedure does better than the standard of care, termed improvement ...
2021: Frontiers in big data
https://read.qxmd.com/read/34051626/a-personalized-index-to-inform-selection-of-a-trauma-focused-or-non-trauma-focused-treatment-for-ptsd
#19
RANDOMIZED CONTROLLED TRIAL
Shannon Wiltsey Stirman, Zachary D Cohen, Carole A Lunney, Robert J DeRubeis, Joshua F Wiley, Paula P Schnurr
PTSD treatment guidelines recommend several treatments with extensive empirical support, including Prolonged Exposure (PE), a trauma-focused treatment and Present-Centered Therapy (PCT), a non-trauma-focused therapy. Research to inform treatment selection has yielded inconsistent findings with single prognostic variables that are difficult to integrate into clinical decision-making. We examined whether a combination of prognostic factors can predict different benefits in a trauma-focused vs. a non-trauma-focused psychotherapy...
July 2021: Behaviour Research and Therapy
https://read.qxmd.com/read/34002503/the-promise-of-machine-learning-in-predicting-treatment-outcomes-in-psychiatry
#20
JOURNAL ARTICLE
Adam M Chekroud, Julia Bondar, Jaime Delgadillo, Gavin Doherty, Akash Wasil, Marjolein Fokkema, Zachary Cohen, Danielle Belgrave, Robert DeRubeis, Raquel Iniesta, Dominic Dwyer, Karmel Choi
For many years, psychiatrists have tried to understand factors involved in response to medications or psychotherapies, in order to personalize their treatment choices. There is now a broad and growing interest in the idea that we can develop models to personalize treatment decisions using new statistical approaches from the field of machine learning and applying them to larger volumes of data. In this pursuit, there has been a paradigm shift away from experimental studies to confirm or refute specific hypotheses towards a focus on the overall explanatory power of a predictive model when tested on new, unseen datasets...
June 2021: World Psychiatry: Official Journal of the World Psychiatric Association (WPA)
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