Processing incomplete questionnaire data into continuous digital biomarkers for addiction monitoring.

ABSTRACT:

Purpose

eHealth systems allow efficient daily smartphone-based collection of self-reported data on mood, wellbeing, routines, and motivation; however, missing data is frequent. Within addictive disorders, missing data may reflect lack of motivation to stay sober. We hypothesize that qualitative questionnaire data contains valuable information, which after proper handling of missing data becomes more useful for practitioners.

Methods

Anonymized data from daily questionnaires containing 11 questions was collected with an eHealth system for 751 patients with alcohol use disorder (AUD). Two digital continuous biomarkers were composed from 9 wellbeing questions (WeBe-i) and from two questions representing motivation/self-confidence to remain sober (MotSC-i). To investigate possib

SUBMITTER: Zetterstrom A 

PROVIDER: S-EPMC9282457 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature