2017
DOI: 10.3389/fpubh.2017.00249
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Supportive Mental Health Self-Monitoring among Smartphone Users with Psychological Distress: Protocol for a Fully Mobile Randomized Controlled Trial

Abstract: Mobile health (mHealth) could be widely used in the population to improve access to psychological treatment. In this paper, we describe the development of a mHealth intervention on the basis of supportive self-monitoring and describe the protocol for a randomized controlled trial to evaluate its effectiveness among smartphone users with psychological distress. Based on power analysis, a representative quota sample of N = 186 smartphone users will be recruited, with an over-sampling of persons with moderate to … Show more

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Cited by 13 publications
(10 citation statements)
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“…We coded studies reporting unrestricted data collection as number of measures and coded studies reporting restricted data collection as number of modules . A range of studies measured the number of outcome surveys completed from those assigned [45,68,75]. Others assessed the number of videos watched from a playlist [36,55], educational modules completed [52], or self-care advice accessed [69].…”
Section: Resultsmentioning
confidence: 99%
“…We coded studies reporting unrestricted data collection as number of measures and coded studies reporting restricted data collection as number of modules . A range of studies measured the number of outcome surveys completed from those assigned [45,68,75]. Others assessed the number of videos watched from a playlist [36,55], educational modules completed [52], or self-care advice accessed [69].…”
Section: Resultsmentioning
confidence: 99%
“…Finally, psychological variables such as cognitive representation of the disease, distress, and anxiety may significantly influence the adoption of mHealth ( Ruland et al, 2013 ; Beiwinkel et al, 2017 ). For example, having low self-control and self-efficacy could reduce patients’ confidence in their ability to deal with their symptoms ( Gysels and Higginson, 2007 ).…”
Section: Issues In Mhealth Adoptionmentioning
confidence: 99%
“…The EdaMove 3 is a smart sensor device to record and analyze skin conductivity (i.e., EDA), as well as physical activity (e.g., step counter). The sensor has already been successfully applied in different fields of research (e.g., psycho-physiologic monitoring [59], affective computing [60]) and provides all relevant standards for the proper measurement of the EDA and corresponding components (i.e., phasic SCR, tonic SCL). In more detail, an exosomatic measurement with direct current (DC) (i.e., 0.5 V constant voltage system) is used for the assessment of the EDA signal.…”
Section: Instrumentationmentioning
confidence: 99%