Evidence map›Paper›PMID 37340215›Full record

ArticleBipolar disorders2024

KIOS: A smartphone app for self-monitoring for patients with bipolar disorder.

Mehak Pahwa, Susan L McElroy, Richard Priesmeyer, Gregg Siegel, Phyllis Siegel, Sharon Nuss, Charles L Bowden, Rif S El-Mallakh

Abstract read
In one paragraph

Article in Bipolar disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mehak PahwaDepartment of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky, USA.ORCID 0000-0002-3559-2590
Susan L McElroyDepartment of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, USA.
Richard PriesmeyerJurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas, USA.
Gregg SiegelBiomedical Development Corporation, San Antonio, Texas, USA.
Phyllis SiegelBiomedical Development Corporation, San Antonio, Texas, USA.
Sharon NussDepartment of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky, USA.
Charles L BowdenDeceased, previously Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Rif S El-MallakhDepartment of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky, USA.ORCID 0000-0002-4992-8016

Funding

Nonlinear Computation Tool to Chart Trajectories of Bipolar DisorderR42MH091997 · NIMH · BIOMEDICAL DEVELOPMENT CORPORATION · PI BOWDEN, CHARLES LEE, PRIESMEYER, RICHARD · 2015 to 2016
$1.5M
NIMH NIH HHS R42 MH091997NIMH NIH HHS R42MH091997
6 · The paper itself

Abstract

objectivesThis 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.

methodsThis 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.

resultsPatients 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

conclusionsThis 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).

Indexed as

Bipolar DisorderMobile ApplicationsSelf-ManagementHumansSmartphoneappbipolareMoodsKIOSself-managementself-monitoringsmartphone

Identifiers

PMID37340215
PMCPMC10730767

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.