The Effect of Non-Personalised Tips on the Continued Use of Self-Monitoring mHealth Applications

Autor: Miro Schleicher, Myra Spiliopoulou, Yash Shah, Winfried Schlee, Noor Jamaludeen, Vishnu Unnikrishnan, Johannes Schobel, Ruediger Pryss, Robin Kraft
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Brain Sciences
Volume 10
Issue 12
Brain Sciences, Vol 10, Iss 924, p 924 (2020)
ISSN: 2076-3425
DOI: 10.3390/brainsci10120924
Popis: Chronic tinnitus, the perception of a phantom sound in the absence of corresponding stimulus, is a condition known to affect patients&rsquo
quality of life. Recent advances in mHealth have enabled patients to maintain a &lsquo
disease journal&rsquo
of ecologically-valid momentary assessments, improving patients&rsquo
own awareness of their disease while also providing clinicians valuable data for research. In this study, we investigate the effect of non-personalised tips on patients&rsquo
perception of tinnitus, and on their continued use of the application. The data collected from the study involved three groups of patients that used the app for 16 weeks. Groups A &
Y were exposed to feedback from the start of the study, while group B only received tips for the second half of the study. Groups A and Y were run by different supervisors and also differed in the number of hospital visits during the study. Users of Group A and B underwent assessment at baseline, mid-study, post-study and follow-up, while users of group Y were only assessed at baseline and post-study. It is seen that the users in group B use the app for longer, and also more often during the day. The answers of the users to the Ecological Momentary Assessments are seen to form clusters where the degree to which the tinnitus distress depends on tinnitus loudness varies. Additionally, cluster-level models were able to predict new unseen data with better accuracy than a single global model. This strengthens the argument that the discovered clusters really do reflect underlying patterns in disease expression.
Databáze: OpenAIRE
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