Background: There is increasing empirical evidence for the positive mental health effects of compassion-based interventions. Although numerous smartphone apps offering compassion-based interventions ('compassion apps') are now available for the general public, the quality of these apps has not yet been reviewed. A qualitative review of existing compassion apps serves as a crucial first step toward testing the efficacy of these apps, by identifying good-quality compassion apps that might be worth the investment of a scientific trial.
Aims: The current study focuses on reviewing the quality of existing compassion apps.
Method: Existing compassion apps were identified through searches in the Google Play Store and App Store. The 24 included apps were reviewed on their quality by using the Mobile App Rating Scale, and on their consistency with current evidence by comparing them to existing and studied compassion-based interventions.
Results: Of the 24 included apps, eight were identified that met the criteria of being consistent with existing and studied compassion-based interventions, and acceptable to good overall quality. The other 16 apps failed to meet one or both of these criteria.
Conclusions: Good-quality compassion apps are available, but many of the available apps fail to meet certain quality criteria. In particular, many apps failed to offer sufficient relevant and correct information, or failed to offer this information in an entertaining and interesting way. It is recommended that future compassion apps are based on a clear definition of compassion, offer evidence- and theory-based exercises and implement tools for increasing engagement.
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http://dx.doi.org/10.1192/bjo.2023.537 | DOI Listing |
J Med Syst
January 2025
Instituto Polibienestar, University of Valencia, Valencia, Spain.
The physician-patient relationship relies mostly on doctors' empathetic abilities to understand and manage patients' emotions, enhancing patient satisfaction and treatment adherence. With the advent of digital technologies in education, innovative empathy training methods such as virtual reality, simulation training systems, mobile apps, and wearable devices, have emerged for teaching empathy. However, there is a gap in the literature regarding the efficacy of these technologies in teaching empathy, the most effective types, and the primary beneficiaries -students or advanced healthcare professionals-.
View Article and Find Full Text PDFBMJ Open
December 2024
Instituto Superior Miguel Torga, Coimbra, Portugal.
Introduction: Fertility patients increasingly use web-based and mobile-based apps to access psychosocial care. These digital tools may be a helpful alternative to traditional psychological interventions. Developing and evaluating patient-centred e-mental health tools rooted in evidence-based interventions is a priority.
View Article and Find Full Text PDFJ Med Internet Res
October 2024
Health Services Research and Development Center of Innovation for Complex Chronic Healthcare, Edward Hines Jr VA Hospital, Department of Veterans Affairs, Hines, IL, United States.
Commun Psychol
September 2024
Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, B15 2TT, UK.
People differ in their levels of impulsivity and patience, and these preferences are heavily influenced by others. Previous research suggests that susceptibility to social influence may vary with age, but the mechanisms and whether people are more influenced by patience or impulsivity remain unknown. Here, using a delegated inter-temporal choice task and Bayesian computational models, we tested susceptibility to social influence in young (aged 18-36, N = 76) and older (aged 60-80, N = 78) adults.
View Article and Find Full Text PDFJMIR Hum Factors
August 2024
Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore.
Background: Digital technologies have impacted health care delivery globally, and are increasingly being deployed in clinical practice. However, there is limited research on patients' expectations of doctors' clinical competencies when using digital health care technologies (DHTs) in medical care. Understanding these expectations can reveal competency gaps, enhance patient confidence, and contribute to digital innovation initiatives.
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