Clinically sufficient classification accuracy and key predictors of treatment failure in a randomized controlled trial of Internet-delivered Cognitive Behavior Therapy for Insomnia.

ABSTRACT:

Background

In Adaptive Treatment Strategies, each patient's outcome is predicted early in treatment, and treatment is adapted for those at risk of failure. It is unclear what minimum accuracy is needed for a classifier to be clinically useful. This study aimed to establish a empirically supported benchmark accuracy for an Adaptive Treatment Strategy and explore the relative value of input predictors.

Method

Predictions from 200 patients receiving Internet-delivered cognitive-behavioral therapy in an RCT was analyzed. Correlation and logistic regression was used to explore all included predictors and the predictive capacity of different models.

Results

The classifier had a Balanced accuracy of 67 %. Eleven out of the 21 predictors correlated significantly with Failure.

SUBMITTER: Forsell E 

PROVIDER: S-EPMC9253627 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature