Predictors of adherence to electronic self-monitoring in patients with bipolar disorder: a contactless study using Growth Mixture Models.

ABSTRACT:

Background

Several studies have reported on the feasibility of electronic (e-)monitoring using computers or smartphones in patients with mental disorders, including bipolar disorder (BD). While studies on e-monitoring have examined the role of demographic factors, such as age, gender, or socioeconomic status and use of health apps, to our knowledge, no study has examined clinical characteristics that might impact adherence with e-monitoring in patients with BD. We analyzed adherence to e-monitoring in patients with BD who participated in an ongoing e-monitoring study and evaluated whether demographic and clinical factors would predict adherence.

Methods

Eighty-seven participants with BD in different phases of the illness were included. Patterns of adherence for wearable use,

SUBMITTER: Ortiz A 

PROVIDER: S-EPMC10192477 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature