@Article{info:doi/10.2196/19476,
author="Ryan, Kelly Ann
and Babu, Pallavi
and Easter, Rebecca
and Saunders, Erika
and Lee, Andy Jinseok
and Klasnja, Predrag
and Verchinina, Lilia
and Micol, Valerie
and Doil, Brent
and McInnis, Melvin G
and Kilbourne, Amy M",
title="A Smartphone App to Monitor Mood Symptoms in Bipolar Disorder: Development and Usability Study",
journal="JMIR Ment Health",
year="2020",
month="Sep",
day="22",
volume="7",
number="9",
pages="e19476",
keywords="bipolar disorder; momentary assessment; mood; mobile phone; mobile app",
abstract="Background: There is considerable scientific interest in finding new and innovative ways to capture rapid fluctuations in functioning within individuals with bipolar disorder (BD), a severe, recurrent mental disorder associated with frequent shifts in symptoms and functioning. The use of smartphones can provide valid and real-world tools for use in measurement-based care and could be used to inform more personalized treatment options for this group, which can improve standard of care. Objective: We examined the feasibility and usability of a smartphone to capture daily fluctuations in mood within BD and to relate daily self-rated mood to smartphone use behaviors indicative of psychomotor activity or symptoms of the illness. Methods: Participants were 26 individuals with BD and 12 healthy control individuals who were recruited from the Prechter Longitudinal Study of BD. All were given a smartphone with a custom-built app and prompted twice a day to complete questions of mood for 28 days. The app automatically and unobtrusively collected phone usage data. A poststudy satisfaction survey was also completed. Results: Our sample showed a very high adherence rate to the daily momentary assessments (91{\%} of the 58 prompts completed). Multivariate mixed effect models showed that an increase in rapid thoughts over time was associated with a decrease in outgoing text messages ($\beta$=--.02; P=.04), and an increase in impulsivity self-ratings was related to a decrease in total call duration ($\beta$=--.29; P=.02). Participants generally reported positive experiences using the smartphone and completing daily prompts. Conclusions: Use of mobile technology shows promise as a way to collect important clinical information that can be used to inform treatment decision making and monitor outcomes in a manner that is not overly burdensome to the patient or providers, highlighting its potential use in measurement-based care. ",
issn="2368-7959",
doi="10.2196/19476",
url="http://mental.jmir.org/2020/9/e19476/",
url="https://doi.org/10.2196/19476",
url="http://www.ncbi.nlm.nih.gov/pubmed/32960185"
}