A Smartphone App to Monitor Mood Symptoms in Bipolar Disorder: Development and Usability Study.
bipolar disorder
mobile app
mobile phone
momentary assessment
mood
Journal
JMIR mental health
ISSN: 2368-7959
Titre abrégé: JMIR Ment Health
Pays: Canada
ID NLM: 101658926
Informations de publication
Date de publication:
22 Sep 2020
22 Sep 2020
Historique:
received:
19
04
2020
accepted:
18
07
2020
revised:
23
06
2020
entrez:
22
9
2020
pubmed:
23
9
2020
medline:
23
9
2020
Statut:
epublish
Résumé
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. 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. 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. 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 (β=-.02; P=.04), and an increase in impulsivity self-ratings was related to a decrease in total call duration (β=-.29; P=.02). Participants generally reported positive experiences using the smartphone and completing daily prompts. 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.
Sections du résumé
BACKGROUND
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
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
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
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 (β=-.02; P=.04), and an increase in impulsivity self-ratings was related to a decrease in total call duration (β=-.29; P=.02). Participants generally reported positive experiences using the smartphone and completing daily prompts.
CONCLUSIONS
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.
Identifiants
pubmed: 32960185
pii: v7i9e19476
doi: 10.2196/19476
pmc: PMC7539167
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e19476Subventions
Organisme : NCATS NIH HHS
ID : KL2 TR000434
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002240
Pays : United States
Informations de copyright
©Kelly Ann Ryan, Pallavi Babu, Rebecca Easter, Erika Saunders, Andy Jinseok Lee, Predrag Klasnja, Lilia Verchinina, Valerie Micol, Brent Doil, Melvin G McInnis, Amy M Kilbourne. Originally published in JMIR Mental Health (http://mental.jmir.org), 22.09.2020.
Références
Eur Psychiatry. 2017 Mar;41:115-121
pubmed: 28135594
J Affect Disord. 2016 Mar 15;193:145-50
pubmed: 26773907
JMIR Ment Health. 2016 Jan 06;3(1):e2
pubmed: 26740354
J Affect Disord. 1998 Sep;50(2-3):187-201
pubmed: 9858078
Arch Gen Psychiatry. 1994 Nov;51(11):849-59; discussion 863-4
pubmed: 7944874
Psychiatry Res. 2014 Jun 30;217(1-2):124-7
pubmed: 24679993
J Neurol Neurosurg Psychiatry. 1960 Feb;23:56-62
pubmed: 14399272
Arch Gen Psychiatry. 1971 Mar;24(3):215-20
pubmed: 5100617
Eur J Psychotraumatol. 2015 May 19;6:27882
pubmed: 25994025
Am J Geriatr Psychiatry. 2003 Sep-Oct;11(5):517-24
pubmed: 14506085
Int J Epidemiol. 2018 Feb 1;47(1):28-28n
pubmed: 29211851
Annu Rev Clin Psychol. 2008;4:1-32
pubmed: 18509902
Am J Psychiatry. 2003 Jul;160(7):1286-90
pubmed: 12832243
Asian J Psychiatr. 2014 Aug;10:90-5
pubmed: 25042959
Biomed Eng Online. 2011 Apr 05;10:24
pubmed: 21466669
Arch Gen Psychiatry. 1998 Jan;55(1):27-32
pubmed: 9435757
Bipolar Disord. 2015 Nov;17(7):715-28
pubmed: 26395972
Encephale. 1995 Dec;21 Spec No 6:3-11
pubmed: 8582314
Br J Psychiatry. 1978 Nov;133:429-35
pubmed: 728692
Bipolar Disord. 2006 Feb;8(1):1-14
pubmed: 16411976
J Affect Disord. 2012 May;138(3):440-8
pubmed: 22314261
Psychiatr Serv. 2016 May 1;67(5):558-61
pubmed: 26695497
Cogn Behav Pract. 2015 Feb;22(1):49-59
pubmed: 27330267
Lancet. 1997 May 17;349(9063):1436-42
pubmed: 9164317
Arch Gen Psychiatry. 2011 Mar;68(3):241-51
pubmed: 21383262
Psychiatr Serv. 2010 May;61(5):500-7
pubmed: 20439372
J Affect Disord. 2016 Feb;191:88-93
pubmed: 26655117
Int J Methods Psychiatr Res. 2016 Dec;25(4):309-323
pubmed: 27038019
PLoS One. 2012;7(5):e36468
pubmed: 22615769