KIOS : A smartphone app for self‐monitoring for patients with bipolar disorder
Article Swipe
Mehak Pahwa
,
Susan L. McElroy
,
H. Richard Priesmeyer
,
Gregg Siegel
,
Phyllis A. Siegel
,
Sharon Nuss
,
Charles L. Bowden
,
Rif S. El‐Mallakh
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1111/bdi.13362
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1111/bdi.13362
Objectives This study examined the use of a self‐monitoring/self‐management smartphone application (app) for patients with bipolar disorder. The app was specifically designed with patient‐centered computational software system based on concepts from nonlinear systems (chaos) theory. Methods This was a randomized, active comparator study of use of the KIOS app compared to an existing free app that has high utilization rates known as eMoods, over 52 weeks, and performed in three academic centers. Patients were evaluated monthly utilizing the Bipolar Inventory of Symptoms Schedule (BISS). The primary outcome measure was the persistence of using the app over the year of the study. Results Patients assigned to KIOS persisted in the study longer than those assigned to eMoods; 57 patients (87.70%) in the KIOS group versus 42 (73.69%) in the eMoods group completed the study ( p = 0.03). By 52 weeks, significantly more of KIOS group (84.4%) versus eMoods group (54%) entered data into their programs ( χ 2 = 14.2, df = 1, p = 0.0002). Patient satisfaction for KIOS was greater ( F = 5.21, df = 1, 108, p = 0.025) with a standardized effect size (Cohen's d) of 0.41. There was no difference in clinical outcome at the end of the study between the two groups. Conclusions This is the first randomized comparison study comparing two apps for the self‐monitoring/self‐management of bipolar disorder. The study revealed greater patient satisfaction and greater adherence to a patient‐centered software program (KIOS) than a monitoring program that does not provide feedback (eMoods).
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/bdi.13362
- OA Status
- green
- Cited By
- 7
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4381470414
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4381470414Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1111/bdi.13362Digital Object Identifier
- Title
-
KIOS : A smartphone app forself‐monitoring for patients with bipolar disorderWork title - Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-06-20Full publication date if available
- Authors
-
Mehak Pahwa, Susan L. McElroy, H. Richard Priesmeyer, Gregg Siegel, Phyllis A. Siegel, Sharon Nuss, Charles L. Bowden, Rif S. El‐MallakhList of authors in order
- Landing page
-
https://doi.org/10.1111/bdi.13362Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://pmc.ncbi.nlm.nih.gov/articles/PMC10730767/pdf/nihms-1907295.pdfDirect OA link when available
- Concepts
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Smartphone app, Bipolar disorder, Self-monitoring, Randomized controlled trial, Self-management, Psychology, Medicine, Physical therapy, Clinical psychology, Internal medicine, Computer science, World Wide Web, Mood, Social psychology, Machine learningTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6, 2024: 1Per-year citation counts (last 5 years)
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38Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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