Personalized Prediction of Response to Smartphone-Delivered Meditation Training: Randomized Controlled Trial.

ABSTRACT:

Background

Meditation apps have surged in popularity in recent years, with an increasing number of individuals turning to these apps to cope with stress, including during the COVID-19 pandemic. Meditation apps are the most commonly used mental health apps for depression and anxiety. However, little is known about who is well suited to these apps.

Objective

This study aimed to develop and test a data-driven algorithm to predict which individuals are most likely to benefit from app-based meditation training.

Methods

Using randomized controlled trial data comparing a 4-week meditation app (Healthy Minds Program [HMP]) with an assessment-only control condition in school system employees (n=662), we developed an algorithm to predict who is most likely to benefit from HMP.

SUBMITTER: Webb CA 

PROVIDER: S-EPMC9682449 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature