Beaumont, Elaine ORCID: https://orcid.org/0000-0002-8259-5858, Dagnall, Neil ORCID: https://orcid.org/0000-0003-0657-7604, Massey, Sue and Irons, Chris (2024) Evaluating the impact the Self‐Compassion App has on levels of compassion, psychological distress and well‐being. Counselling and Psychotherapy Research. ISSN 1473-3145
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Abstract
Introduction: The Self‐Compassion App is the first commercially available, smartphone app based upon the ideas and practices of Compassion‐Focused Therapy. Through 28 sessions, the app supports individuals to develop compassionate minds and, in doing so, promotes well‐being and reduces psychological distress (e.g. self‐criticism and shame). Aim: This study evaluated the impact the app had on participants' levels of compassion, well‐being, self‐criticism and psychological distress. Methodology: Fifty‐two participants—consisting of staff and students at the University of Salford—took part in this study. Pre‐, post‐ and follow‐up measures were collected to explore changes in levels of compassion, self‐criticism, emotion regulation, well‐being and psychological distress. Findings: Statistically significant increases were observed in levels of self‐compassion, self‐reassurance, emotion regulation skills and well‐being. Significant reductions were found in self‐criticism, anxiety and stress, and post‐study, participants became more open to receiving compassion from others. Implications: Results from this study are promising and suggest that using the Self‐Compassion App reduces psychological distress and enhances psychological well‐being. Considering interventions that utilise technology with the aim of boosting well‐being, levels of compassion and reducing self‐criticism are potentially important given the difficulties that many students and educators experience, and the current waitlist times for psychological help and support. Further Research: A randomised control trial and longitudinal study would be beneficial to explore the long‐term benefits of using the app. Further studies, in clinical and non‐clinical populations, will clarify how the app might benefit people and what type of engagement is necessary to derive change.
Impact and Reach
Statistics
Additional statistics for this dataset are available via IRStats2.