Personalized Prediction of Response to Smartphone-Delivered Meditation Training: Randomized Controlled Trial.
J Med Internet Res
; 24(11): e41566, 2022 11 08.
Article
in English
| MEDLINE | ID: covidwho-2109575
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. Baseline clinical and demographic characteristics were submitted to a machine learning model to develop a "Personalized Advantage Index" (PAI) reflecting an individual's expected reduction in distress (primary outcome) from HMP versus control.RESULTS:
A significant group × PAI interaction emerged (t658=3.30; P=.001), indicating that PAI scores moderated group differences in outcomes. A regression model that included repetitive negative thinking as the sole baseline predictor performed comparably well. Finally, we demonstrate the translation of a predictive model into personalized recommendations of expected benefit.CONCLUSIONS:
Overall, the results revealed the potential of a data-driven algorithm to inform which individuals are most likely to benefit from a meditation app. Such an algorithm could be used to objectively communicate expected benefits to individuals, allowing them to make more informed decisions about whether a meditation app is appropriate for them. TRIAL REGISTRATION ClinicalTrials.gov NCT04426318; https//clinicaltrials.gov/ct2/show/NCT04426318.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Meditation
/
Mobile Applications
/
COVID-19
Type of study:
Experimental Studies
/
Prognostic study
/
Qualitative research
/
Randomized controlled trials
Topics:
Traditional medicine
Limits:
Humans
Language:
English
Journal:
J Med Internet Res
Journal subject:
Medical Informatics
Year:
2022
Document Type:
Article
Affiliation country:
41566
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