Marshall, Jamie M

Dunstan, Debra

Bartik, Warren

2020

The research protocol relating to both this pilot study and the main intervention study have been published: Marshall, J. M., Dunstan, D. A., & Bartik, W. (2020). Effectiveness of using mental health mobile apps as digital antidepressants for reducing anxiety and depression: Protocol for a multiple baseline across-individuals design. JMIR Research Protocols, 9(7), e17159. doi:10.2196/17159 For further details about any aspect of this research output data, please contact Jamie Marshall by e-mail: j.marshall@snowflakeclinic.com.au

This dataset contains the de-identified data of four individuals who participated in this pilot study using the mental health app, SuperBetter. A multiple single-case design was used. The dataset contains: 1. Daily distress ratings, known as Subjective Units of Distress (SUDS); 2. Anxiety and depression symptom outcome ratings, captured at four different time points by the Depression Anxiety Stress Scale - 21 Item Version (DASS-21); 3. Life functioning ratings captured at four different time points by the Outcome Questionnaire - 45 Item Version 2nd Edition (OQ-45.2); 4. Demographic information captured by our demographics questionnaire; and 5. Final app rating and appraisal captured by the Mobile Application Rating Scale - User Version (uMARS). The dataset contains both raw data files and graph / figure files for visual analysis. For more information on the background, method, results and discussion of this dataset, see the published research protocol article that covers both this pilot study and main intervention study (Marshall, Dunstan, & Bartik; 2020), and published pilot study article.

https://hdl.handle.net/1959.11/29109

en

University of New England

Attribution-NoDerivatives 4.0 International

Can a Smartphone App Make you Feel Super Better? A Pilot Study Utilizing a Multiple Single-Case Design

Dataset

Publication