Literature DB >> 33384428

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

Miro Schleicher1, Vishnu Unnikrishnan2, Patrick Neff3,4, Jorge Simoes3, Thomas Probst5, Rüdiger Pryss6, Winfried Schlee3, Myra Spiliopoulou2.   

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.

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Year:  2020        PMID: 33384428      PMCID: PMC7775469          DOI: 10.1038/s41598-020-79527-0

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  30 in total

1.  A multidisciplinary European guideline for tinnitus: diagnostics, assessment, and treatment.

Authors:  R F F Cima; B Mazurek; H Haider; D Kikidis; A Lapira; A Noreña; D J Hoare
Journal:  HNO       Date:  2019-03       Impact factor: 1.284

2.  Attrition and adherence in smartphone-delivered interventions for mental health problems: A systematic and meta-analytic review.

Authors:  Jake Linardon; Matthew Fuller-Tyszkiewicz
Journal:  J Consult Clin Psychol       Date:  2019-11-07

3.  Compliance with an EMA monitoring protocol and its relationship with participant and smoking characteristics.

Authors:  Natalie Schüz; Julia A E Walters; Mai Frandsen; Jodie Bower; Stuart G Ferguson
Journal:  Nicotine Tob Res       Date:  2013-09-19       Impact factor: 4.244

4.  Economic Evaluation of Text-Messaging and Smartphone-Based Interventions to Improve Medication Adherence in Adolescents with Chronic Health Conditions: A Systematic Review.

Authors:  Sherif M Badawy; Lisa M Kuhns
Journal:  JMIR Mhealth Uhealth       Date:  2016-10-25       Impact factor: 4.773

5.  Outpatient Tinnitus Clinic, Self-Help Web Platform, or Mobile Application to Recruit Tinnitus Study Samples?

Authors:  Thomas Probst; Rüdiger C Pryss; Berthold Langguth; Myra Spiliopoulou; Michael Landgrebe; Markku Vesala; Stephen Harrison; Johannes Schobel; Manfred Reichert; Michael Stach; Winfried Schlee
Journal:  Front Aging Neurosci       Date:  2017-04-21       Impact factor: 5.750

6.  The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances.

Authors:  Anthony Bagnall; Jason Lines; Aaron Bostrom; James Large; Eamonn Keogh
Journal:  Data Min Knowl Discov       Date:  2016-11-23       Impact factor: 3.670

7.  Editorial: Towards an Understanding of Tinnitus Heterogeneity.

Authors:  Christopher R Cederroth; Silvano Gallus; Deborah A Hall; Tobias Kleinjung; Berthold Langguth; Antonello Maruotti; Martin Meyer; Arnaud Norena; Thomas Probst; Rüdiger Pryss; Grant Searchfield; Giriraj Shekhawat; Myra Spiliopoulou; Sven Vanneste; Winfried Schlee
Journal:  Front Aging Neurosci       Date:  2019-03-19       Impact factor: 5.750

8.  Teenagers and texting: use of a youth ecological momentary assessment system in trajectory health research with latina adolescents.

Authors:  Carolyn Garcia; Rachel R Hardeman; Gyu Kwon; Elizabeth Lando-King; Lei Zhang; Therese Genis; Sonya S Brady; Elizabeth Kinder
Journal:  JMIR Mhealth Uhealth       Date:  2014-01-24       Impact factor: 4.773

9.  Patients' Acceptance of Smartphone Health Technology for Chronic Disease Management: A Theoretical Model and Empirical Test.

Authors:  Kaili Dou; Ping Yu; Ning Deng; Fang Liu; YingPing Guan; Zhenye Li; Yumeng Ji; Ningkai Du; Xudong Lu; Huilong Duan
Journal:  JMIR Mhealth Uhealth       Date:  2017-12-06       Impact factor: 4.773

Review 10.  The Impact of mHealth Interventions: Systematic Review of Systematic Reviews.

Authors:  David Novillo-Ortiz; Milena Soriano Marcolino; João Antonio Queiroz Oliveira; Marcelo D'Agostino; Antonio Luiz Ribeiro; Maria Beatriz Moreira Alkmim
Journal:  JMIR Mhealth Uhealth       Date:  2018-01-17       Impact factor: 4.773

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  5 in total

1.  Daily Contributors of Tinnitus Loudness and Distress: An Ecological Momentary Assessment Study.

Authors:  Jorge Simoes; Jan Bulla; Patrick Neff; Rüdiger Pryss; Steven C Marcrum; Berthold Langguth; Winfried Schlee
Journal:  Front Neurosci       Date:  2022-07-05       Impact factor: 5.152

Review 2.  A State-of-Art Review of Digital Technologies for the Next Generation of Tinnitus Therapeutics.

Authors:  Grant D Searchfield; Philip J Sanders; Zohreh Doborjeh; Maryam Doborjeh; Roger Boldu; Kevin Sun; Amit Barde
Journal:  Front Digit Health       Date:  2021-08-10

3.  Predicting Ecological Momentary Assessments in an App for Tinnitus by Learning From Each User's Stream With a Contextual Multi-Armed Bandit.

Authors:  Saijal Shahania; Vishnu Unnikrishnan; Rüdiger Pryss; Robin Kraft; Johannes Schobel; Ronny Hannemann; Winny Schlee; Myra Spiliopoulou
Journal:  Front Neurosci       Date:  2022-04-11       Impact factor: 5.152

4.  Measuring Environmental Justice in Real Time: A Pilot Study Using Digital Participatory Method in the Global South, Nepal.

Authors:  Rehana Shrestha; Klaus Telkmann; Benjamin Schüz; Pramesh Koju; Reshma Shrestha; Biraj Karmacharya; Gabriele Bolte
Journal:  Int J Environ Res Public Health       Date:  2022-04-14       Impact factor: 4.614

5.  Acceptability and satisfaction with emma, a smartphone application dedicated to suicide ecological assessment and prevention.

Authors:  Margot Morgiève; Daniel Yasri; Catherine Genty; Jonathan Dubois; Marion Leboyer; Guillaume Vaiva; Sofian Berrouiguet; Jérôme Azé; Philippe Courtet
Journal:  Front Psychiatry       Date:  2022-08-11       Impact factor: 5.435

  5 in total

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