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Reliability of Data Collected via Ecological Momentary Assessment on the Example of FeverApp Registry

Bibliographic Data

ID15719397
AuthorsLarisa Rathjens (0000-0002-6229-3262, Witten/Herdecke University), Moritz Gwiasda (0000-0002-4104-8823, Witten/Herdecke University), Silke Schwarz (0000-0003-2567-2797, Witten/Herdecke University), Ricarda Möhler (Witten/Herdecke University), David Martin (0000-0002-2914-8063, Witten/Herdecke University), Ekkehart Jenetzky (0000-0001-5415-8784, Witten/Herdecke University, corresponding author)
Year2023
Volume10
Issue2
Pages385-385
Publication date2023-02-15
Open AccessYes
TypeARTICLE
VenueChildren (JOURNAL)
Journal identifiersISSN: 2227-9067 • E-ISSN: 2227-9067
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/children10020385
PMID36832514
OpenAlexW4320916935
LanguageEN
References cited27

The FeverApp registry is an ambulant ecological momentary assessment (EMA) model registry focusing on research of fever in children. Verification of EMA reliability is a challenge, due to absence of other source data. To ensure the reliability of EMA data, 973 families were invited to reassess their documentation in a survey. The survey contained questions (a) regarding the number of children, (b) genuineness of entries, (c) completeness of submitted fever episodes, (d) medication, (e) usefulness and further usage of the app. Of those invited, 438 families (45% response rate) participated in the survey. Of these, 363 (83%) families have registered all their children, 208 families have one child. The majority (n = 325, 74.2%) of families stated that they only made genuine entries in the app. Agreement between survey and app for fever episodes is 90% (Cohen's κ = 0.75 [0.66, 0.82]). Medication shows 73.7% agreement, κ = 0.49 [0.42; 0.54]. The majority (n = 245, 55.9%) consider the app as an additional benefit and 87.3% would like to use it further. Email surveys are a possible approach to evaluate EMA based registry data. The possible observation units (children and fever episodes) show an adequate reliability. With this approach, surveys of further samples and variables could help to improve the quality of EMA based registries

Data quality · Documentation · Family medicine · Operations management · Reliability (semiconductor · Asthma and respiratory diseases · Computer Science · Engineering · Medicine · Mental Health Research Topics · Neuroscience of respiration and sleep · Psychology

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    Open Access•Jacob Cohen•Educational and Psychological…•1960

  • Covid-19 Associated Contact Restrictions in Germany

    Open Access•Mara Barschkett, Berthold Koletzko et al.•Children•2021

  • Sociodemographic Characteristics and Interests of FeverApp Users

    Open Access•Silke Schwarz, David Martin et al.•International Journal of…•2021

  • Intrinsic motivation and extrinsic incentives jointly predict performance

    Christopher P Cerasoli, Jessica M Nicklin et al.•Psychological Bulletin•2014

Highly citedNo

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