Understanding adherence to the recording of ecological momentary assessments in the example of tinnitus monitoring.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
31 12 2020
Historique:
received: 08 10 2020
accepted: 09 12 2020
entrez: 1 1 2021
pubmed: 2 1 2021
medline: 11 5 2021
Statut: epublish

Résumé

The recording of Ecological Momentary Assessments (EMA) can assist people with chronic diseases in monitoring their health state. However, many users quickly lose interest in their respective EMA platforms. Therefore, we studied the adherence of users of the mHealth app TRACKYOURTINNITUS (TYT). The app is used to record EMA in people with tinnitus. 1292 users, who interacted with the app between April 2014 and February 2017, were analyzed in this work. We defined "adherence" based on the dimensions of interaction duration and interaction continuity. We propose methods that are able to predict the (dis)continuation of interaction with the app and identify user segments that are characterized by similar patterns of adherence. For the prediction task we used the data of the questionnaires MiniTF and TSCHQ, which are filled in when the users enter TYT for the first time. Additionally, time series of the eight items of the daily EMA questionnaire were used. The distribution of user activity pertaining to the adherence dimension of interaction duration revealed a very skewed distribution, with most users giving up after only 1 day of interaction. However, many users returned after interrupting for some time. Some of the MiniTF items indicated that the worries of users might have lead to an increased likelihood of returning back to the app. The MiniTF score itself was not predictive, though. The answers to the TSCHQ items, in turn, pointed to user strata (more than 65 years of age at registration), which tended towards higher interaction continuity. As the registration questionnaires predicted adherence only to a limited extent, it is promising to study the activities of the users in the very first days of interaction more deeply. It turned out in this context that the effects of interaction stimulants like personalized and non-personalized tips, pointers to information sources, and mechanisms used in online treatments for tinnitus (e.g., in iCBT) should be further investigated.

Identifiants

pubmed: 33384428
doi: 10.1038/s41598-020-79527-0
pii: 10.1038/s41598-020-79527-0
pmc: PMC7775469
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

22459

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Auteurs

Miro Schleicher (M)

Institute of Technical and Business Information Systems, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany. miro.schleicher@ovgu.de.

Vishnu Unnikrishnan (V)

Institute of Technical and Business Information Systems, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany.

Patrick Neff (P)

Department of Psychiatry and Psychotherapy of Regensburg University, Regensburg, Germany.
University Research Priority Program 'Dynamics of Healthy Aging', University of Zurich, Zurich, Switzerland.

Jorge Simoes (J)

Department of Psychiatry and Psychotherapy of Regensburg University, Regensburg, Germany.

Thomas Probst (T)

Department for Psychotherapy and Biopsychosocial Health, Danube University Krems, Krems, Austria.

Rüdiger Pryss (R)

Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany.

Winfried Schlee (W)

Department of Psychiatry and Psychotherapy of Regensburg University, Regensburg, Germany.

Myra Spiliopoulou (M)

Institute of Technical and Business Information Systems, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany.

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Classifications MeSH