Evidence map›Paper›PMID 37647264›Full record

ArticlePloS one2023

Building an ecological momentary assessment smartphone app for 4- to 10-year-old children: A pilot study.

Helen M Milojevich, Daniel Stickel, Margaret M Swingler, Xinyi Zhang, Jeffery Terrell, Margaret A Sheridan, Xianming Tan

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Review
  4. Review
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

7 authors.

Helen M MilojevichCenter for Child and Family Policy, Sanford School of Public Policy, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0001-5337-7264
Daniel StickelDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Margaret M SwinglerFrank Porter Graham Child Development Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Xinyi ZhangDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Jeffery TerrellDepartment of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Margaret A SheridanDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Xianming TanDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0002-5478-2269

Funding

Identifying injurious Thoughts and Behaviors in Childhood: A Mixed-Methods InvestigationR01MH115004 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHERIDAN, MARGARET ANN · 2018 to 2022
$4.2M
Using growth models to identify how trajectories of infant brain development predict childhood behavior and neural functionR21HD096232 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHERIDAN, MARGARET ANN · 2018 to 2019
$414k
NICHD NIH HHS R21 HD096232NIMH NIH HHS R01 MH115004
6 · The paper itself

Abstract

objectiveEcological momentary assessment (EMA) minimizes recall burden and maximizes ecological validity and has emerged as a valuable tool to characterize individual differences, assess contextual associations, and document temporal associations. However, EMA has yet to be reliably utilized in young children, in part due to concerns about responder reliability and limited compliance. The present study addressed these concerns by building a developmentally appropriate EMA smartphone app and testing the app for feasibility and usability with young children ages 4-10 (N = 20; m age = 7.7, SD = 2.0).

methodsTo pilot test the app, children completed an 11-item survey about their mood and behavior twice a day for 14 days. Parents also completed brief surveys twice a day to allow for parent-child comparisons of responses. Finally, at the end of the two weeks, parents provided user feedback on the smartphone app.

resultsResults indicated a high response rate (nearly 90%) across child surveys and high agreement between parents and children ranging from 0.89-0.97.

conclusionsOverall, findings suggest that this developmentally appropriate EMA smartphone app is a reliable and valid tool for collecting in-the-moment data from young children outside of a laboratory setting.

Indexed as

Mobile ApplicationsChildChild, PreschoolEcological Momentary AssessmentHumansMental RecallPilot ProjectsReproducibility of Results

Identifiers

PMID37647264
PMCPMC10468030

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.