Advances in Cognitive Behavior Therapy for Psychosis

Turkington, Douglas; Wright, Nicola; Tai, Sara

doi:10.1521/ijct.2013.6.2.150

Cited by 6 publications

(2 citation statements)

References 46 publications

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“…There is ample evidence that psychiatric disorders can be treated using psychological interventions and, in Sweden at least, psychological interventions have taken the place as first choice interventions for a number of conditions (Socialstyrelsen, 2017). Cognitive Behavior Therapy (CBT) is perhaps the most thoroughly researched psychotherapy today, and has positive effects on a wide variety of psychiatric disorders (Hofmann, Asnaani, Vonk, Sawyer, & Fang, 2012) ranging from depression (Cuijpers et al, 2013;Hedman et al, 2014), insomnia (Blom, Jernelov, Rück, Lindefors, & Kaldo, 2016;Siebern & Manber, 2011) and social phobia all the way to obsessive compulsive disorder (Andersson et al, 2012;Foa, 2010), and psychosis (Turkington, Wright, & Tai, 2013). The last 20 years of research also shows that delivering CBT in the form of guided self-help via the internet (ICBT) can be as effective as face-to-face CBT (Carlbring, Andersson, Cuijpers, Riper, & Hedman-Lagerlof, 2018;Cuijpers, Donker, van Straten, Li, & Andersson, 2010;Hedman, Ljotsson, & Lindefors, 2012;Karyotaki et al, 2017).…”

Section: Introduction 1the State Of Psychological Treatment Of Commomentioning

confidence: 99%

Predicting treatment failure in regular care Internet-Delivered Cognitive Behavior Therapy for depression and anxiety using only weekly symptom measures.

Forsell

Isacsson

Blom

et al. 2020

Journal of Consulting and Clinical Psychology

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To my family Josefin, Selma and Oskar. Not only did they put up with me during the entire PhD journey, but they also spent the last two weeks of it in quarantine with me because of the coronavirus pandemic of 2020.ABSTRACT Background: Internet-delivered Cognitive Behavior Therapy (ICBT) is efficacious for a number of psychiatric disorders and can be successfully implemented in routine psychiatric care. Still, only about half of patients experience a good enough treatment outcome. Using data from the early part of treatment to identify patients with high risk of not benefitting from it, and target them with additional resources to prevent the predicted failure is a potential way forward. We call this an Adaptive Treatment Strategy, and a very important part of it is the ability to predict the outcome for a specific patient. Aims:To establish a proof of concept for an Adaptive Treatment Strategy in ICBT, and explore outcome prediction further by evaluating the accuracy of an empirically supported classification algorithm, the time point in treatment when acceptable accuracy can be reached, and the accuracy of ICBT-therapists' own predictions. Preliminary benchmarks regarding the clinical usefulness of prediction will be established. Studies:Four studies were performed: Study I was a randomized controlled trial (RCT; n=251) where patients' risk of treatment Failure (Red=high risk of failure, Green=low risk) was predicted during week 4 out of 9 in ICBT for Insomnia. Red patients (n=102) were then randomized to either continuing with standard treatment (n=51) or having their treatment individually adapted (n=51). In Study II, the classification algorithm from Study I was evaluated in terms of classification accuracy and the contribution of the different predictors used. In Study III, data from 4310 regular care ICBT-patients having received treatment for either Depression, Social anxiety disorder or Panic disorder were analyzed in a series of multiple regression models using weekly observations of the primary symptom measure as predictors to classify risk of Failure. As a contrast, Study IV examines ICBT therapists' own predictions on both categorical and continuous treatment outcomes, as they made predictions for each of their patients (n=897) during week 4 in the same three treatments as in Study III. Results:The RCT was successful in that Red patients receiving Adapted treatment improved significantly more than Red patients receiving standard treatment, and their odds of failure were nearly cut in half. Green patients did better than Red patients, indicating that the accuracy of the classification algorithm was clinically useful. Study II showed that the balanced accuracy of the classifier was 67% and that only 11 of 21 predictors correlated significantly with Failure. Notable predictors were symptom levels as well as different markers of treatment engagement. Study III and IV showed that acceptable predictions could be made halfway through treatment using only symptom scores and basic statistics, and that ICBT-...

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Section: Introduction 1the State Of Psychological Treatment Of Commomentioning

confidence: 99%

Predicting treatment failure in regular care Internet-Delivered Cognitive Behavior Therapy for depression and anxiety using only weekly symptom measures.

Forsell

Isacsson

Blom

et al. 2020

Journal of Consulting and Clinical Psychology

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“…Among these is the contemporary psychiatric aim to identify symptoms (using the Diagnostic and Statistical Manual, DSM) in order to diagnose and develop a treatment plan, which, more often than not, aims to eliminate these very symptoms with the hope of improving the well-being of the patient. One could argue that the cognitive behavioral therapy (CBT) approach, which is recently gaining popularity in the treatment of psychosis, has similar aims—that is, the elimination of symptoms (Garrett & Turkington, 2011; Herz, 2012; Kimhy et al, 2013; Turkington, Wright, & Tai, 2013).…”

mentioning

confidence: 99%

“Don’t step on Tony!” The importance of symptoms when working with psychosis.

Knafo¹,

Selzer²

2015

Psychoanalytic Psychology

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This article claims that the attention to a patient's symptoms is critical when working with psychotic states. It asserts that viewing symptoms as a crucial inroad into the understanding of the patient's issues is often disregarded in today's mental health environment, which focuses almost exclusively on the elimination of symptoms with medication. The authors regard symptoms as presenting a vital inroad into the working relationship with persons suffering psychosis. A detailed case illustration is presented to demonstrate the way working with symptoms gives credibility to the patient's reality and aids in creating a working alliance and in moving the treatment forward.

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The hearing voices network: initial lessons and future directions for mental health professionals and Systems of Care

2017

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For more than two decades, the Hearing Voices Network (HVN) has provided alternative approaches to supporting voice hearers, and an emerging body of research is now confirming their value. HVN approaches present unique opportunities and challenges for mental health professionals and systems of care that work with individuals who hear voices. An overview of the HVN is presented, including its history, principles and approaches. HVN approaches are compared and contrasted with traditional mental health treatments. HVN's potential contribution to the transformation of mental health care is discussed. Directions for future research are presented.

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Advances in Cognitive Behavior Therapy for Psychosis

Cited by 6 publications

References 46 publications

Predicting treatment failure in regular care Internet-Delivered Cognitive Behavior Therapy for depression and anxiety using only weekly symptom measures.

Predicting treatment failure in regular care Internet-Delivered Cognitive Behavior Therapy for depression and anxiety using only weekly symptom measures.

“Don’t step on Tony!” The importance of symptoms when working with psychosis.

The hearing voices network: initial lessons and future directions for mental health professionals and Systems of Care

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