Per Carlbring
  • Email
  • Facebook
  • Linkedin
  • Twitter
  • YouTube
  • RSS
  • News
  • Publications
  • MSc thesis
  • Questionnaires
  • CV
  • Contact
Search the site...
  • Swedish
  • English
  • Home
  • Nyheter @en
  • In the Absence of Effects: An Individual Patient Data Meta-Analysis of Non-response and Its Predictors in Internet-Based Cognitive Behavior Therapy

In the Absence of Effects: An Individual Patient Data Meta-Analysis of Non-response and Its Predictors in Internet-Based Cognitive Behavior Therapy

Posted on 2020-05-18 by Per Carlbring in Nyheter @en
0

Negative effects of psychological treatments have recently received increased attention in both research and clinical practice. Most investigations have focused on determining the occurrence and characteristics of deterioration and other adverse and unwanted events, such as interpersonal issues, indicating that patients quite frequently experience such incidents in treatment. However, non-response is also negative if it might have prolonged an ongoing condition and caused unnecessary suffering. Yet few attempts have been made to directly explore non-response in psychological treatment or its plausible causes. Internet-based cognitive behavior therapy (ICBT) has been found effective for a number of diagnoses but has not yet been systematically explored with regard to those patients who do not respond.

Methods: The current study collected and aggregated data from 2,866 patients in 29 clinical randomized trials of ICBT for three categories of diagnoses: anxiety disorders, depression, and other (erectile dysfunction, relationship problems, and gambling disorder). Raw scores from each patient variable were used in an individual patient data meta-analysis to determine the rate of non-response on the primary outcome measure for each clinical trial, while its potential predictors were examined using binomial logistic regression. The reliable change index (RCI) was used to classify patients as non-responders.

Results: Of the 2,118 patients receiving treatment, and when applying a RCI of z ≥ 1.96, 567 (26.8%) were classified as non-responders. In terms of predictors, patients with higher symptom severity on the primary outcome measure at baseline, Odds Ratio (OR) = 2.04, having a primary anxiety disorder (OR = 5.75), and being of male gender (OR = 1.80), might have higher odds of not responding to treatment.

Conclusion: Non-response seems to occur among approximately a quarter of all patients in ICBT, with predictors related to greater symptoms, anxiety disorders, and gender indicating increasing the odds of not responding. However, the results need to be replicated before establishing their clinical relevance, and the use of the RCI as a way of determining non-response needs to be validated by other means, such as by interviewing patients classified as non-responders.

Photo: Andrea Piacquadio

Read the full paper (open access):
Rozental, A., Andersson, G., & Carlbring, P. (2019). In the Absence of Effects: An Individual Patient Data Meta-Analysis of Non-response and Its Predictors in Internet-Based Cognitive Behavior Therapy. Frontiers in Psychology, 10(589). doi:10.3389/fpsyg.2019.00589

Internet Interventions, Just published, meta-analysis, Negative effects

Nyheter

  • New meta-analysis on genes and psychotherapy outcome in anxiety disorders

    2021-02-25
  • The Prevalence and Clinical and Sociodemographic Factors of Problem Online Gambling: A Systematic Review

    2021-02-02
  • Online Consultations in Mental Healthcare During the Covid-19 Outbreak: An International Survey Study on Uptake and Experiences

    2020-12-17
  • NEW STUDY: How to succeed in keeping your New Year’s resolution

    2020-12-09
  • Virtual Reality exposure therapy for public speaking anxiety in routine care: a single-subject effectiveness trial

    2020-11-30
  • Sudden gains and large intersession improvements in internet-based psychodynamic treatment (IPDT) for depressed adolescents

    2020-11-30
  • Seeking neutral: A Virtual Reality-based person-identity-matching task for attentional bias modification

    2020-11-30
  • Measuring Alliance Toward Embodied Virtual Therapists in the Era of Automated Treatments

    2020-07-09
  • Measuring Alliance Toward Embodied Virtual Therapists in the Era of Automated Treatments

    2020-07-09
  • Internet Interventions for Adults with Anxiety and Mood Disorders: A Narrative Umbrella Review of Recent Meta-Analyses

    2020-05-19
  • In the Absence of Effects: An Individual Patient Data Meta-Analysis of Non-response and Its Predictors in Internet-Based Cognitive Behavior Therapy

    2020-05-18
  • Are physical activity and sedentary behavior related to depression?

    2020-05-13
  • Comparing internet-delivered cognitive therapy and behavior therapy with telephone support for insomnia disorder: a randomized controlled trial

    2020-04-27
  • Deposit Limit Prompt in Online Gambling for Reducing Gambling Intensity: A Randomized Controlled Trial

    2020-04-27
  • Open PhD-position: Psychological and Social Mechanisms Underlying the Diffusion of AI in Society

    2020-03-01
  • Congratulations Ekaterina Ivanova (she is defending his PhD thesis today)

    2020-01-13
  • Congratulations Kristoffer Magnusson (he is defending his PhD thesis today)

    2019-12-09
  • Agreement between problem gamblers and their concerned significant others regarding the amount of money lost when gambling

    2019-11-06
  • Treating depression with virtual reality interventions

    2019-10-07
  • The efficacy of app‐supported smartphone interventions for mental health problems: a meta‐analysis

    2019-09-10
Copyleft (ɔ) 2020 Professor Per Carlbring