Evidence map›Paper›PMID 40979181›Full record

ArticleJournal of mood and anxiety disorders2025

Feasibility and accuracy of the ASERT digital questionnaire in mood tracking for a longitudinal research study on bipolar disorder.

Isaac Lynch, Gail I S Harmata, Ercole John Barsotti, Jess G Fiedorowicz, Aislinn J Williams, Cari Linkenmeyer, Sarah Smith, Spencer Smith, Jenny Gringer Richards, Jeffrey D Long and 4 more

Abstract read
In one paragraph

Article in Journal of mood and anxiety disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Isaac LynchCarver College of Medicine, The University of Iowa, United States.
Gail I S HarmataDepartment of Radiology, The University of Iowa, United States.
Ercole John BarsottiDepartment of Radiology, The University of Iowa, United States.
Jess G FiedorowiczDepartment of Psychiatry, The University of Iowa, United States.
Aislinn J WilliamsDepartment of Psychiatry, The University of Iowa, United States.
Cari LinkenmeyerCarver College of Medicine, The University of Iowa, United States.
Sarah SmithDepartment of Radiology, The University of Iowa, United States.
Spencer SmithDepartment of Radiology, The University of Iowa, United States.
Jenny Gringer RichardsDepartment of Radiology, The University of Iowa, United States.
Jeffrey D LongDepartment of Psychiatry, The University of Iowa, United States.
Soňa SikorováMindpax s.r.o., Prague, Czech Republic.
Eduard BaksteinMindpax s.r.o., Prague, Czech Republic.
John A WemmieDepartment of Psychiatry, The University of Iowa, United States.
Vincent A MagnottaDepartment of Radiology, The University of Iowa, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It is challenging for bipolar disorder (BD) studies to capture multiple mood states within a participant at in-person visits. Mood tracking could aid scheduling, but evaluation is usually done using clinical assessments inconvenient for participants to undergo often. However, frequent assessments are necessary to capture dynamic mood changes typical of BD. The Aktibipo Self-Rating Questionnaire (ASERT) is a simple, self-report mood survey. We examined the utility of collecting the ASERT weekly to assess mood changes and schedule follow-up visits. Methods: Sixty-one participants with BD completed the ASERT and were administered the Montgomery-Åsberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS) during a baseline visit. Participants were then sent weekly text messages with an ASERT survey link. If participants exhibited at least a 5-point (later 8-point) change from baseline on either the mania or depression subscale, they were called and administered the MADRS or YMRS. A 10-point change on either phone-delivered clinical scale prompted a follow-up visit. Associations between ASERT subscales and clinical scales were evaluated using Spearman's correlation and robust regression. Results: Mean completion rate was 94.8 % and median completion time was 67 s. The ASERT depression and mania subscales correlated with the MADRS and YMRS at baseline and all follow-up time points. Our screening method aided scheduling, with 15 of 19 participants exhibiting a 10-point change or greater on the MADRS and/or YMRS at Visit 2. Conclusions: The ASERT can be feasibly deployed to track mood and can help schedule follow-up assessments in BD longitudinal studies.

Indexed as

Bipolar disorderDepressionLongitudinal studiesManiaMood tracking

Identifiers

PMID40979181
PMCPMC12445695

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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.