Evidence map›Paper›PMID 33384428›Full record

ArticleScientific reports2020

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

Miro Schleicher, Vishnu Unnikrishnan, Patrick Neff, Jorge Simoes, Thomas Probst, Rüdiger Pryss, Winfried Schlee, Myra Spiliopoulou

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Tinnitus Measured in Everyday Life: A Literature Review of Ecological Momentary Assessment Studies.Journal of the Association for Research in Otolaryngology : JARO · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Acceptability and satisfaction withFrontiers in psychiatry · 2022
    Article
  9. Article
  10. Article
  11. 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

8 authors at 4 institutions in 3 countries.

Miro SchleicherInstitute of Technical and Business Information Systems, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany. miro.schleicher@ovgu.de.
Vishnu UnnikrishnanInstitute of Technical and Business Information Systems, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany.
Patrick NeffDepartment of Psychiatry and Psychotherapy of Regensburg University, Regensburg, Germany.
Jorge SimoesDepartment of Psychiatry and Psychotherapy of Regensburg University, Regensburg, Germany.
Thomas ProbstDepartment for Psychotherapy and Biopsychosocial Health, Danube University Krems, Krems, Austria.
Rüdiger PryssInstitute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany.
Winfried SchleeDepartment of Psychiatry and Psychotherapy of Regensburg University, Regensburg, Germany.
Myra SpiliopoulouInstitute of Technical and Business Information Systems, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany.
Otto-von-Guericke University Magdeburg · DEUniversity of Regensburg · DEUniversität für Weiterbildung Krems · ATUniversity of Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Ecological Momentary AssessmentMonitoring, PhysiologicPatient ComplianceFemaleHumansMaleMobile ApplicationsModels, TheoreticalPatient Education as TopicQuality of LifeSurveys and QuestionnairesTelemedicineTinnitus

Identifiers

PMID33384428
PMCPMC7775469
OpenAlexW3117542045

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.