Affiliation:
1. Division of Psychology and Mental Health, School of Health Sciences University of Manchester Manchester UK
2. Greater Manchester Mental Health NHS Foundation Trust, Manchester Royal Infirmary Manchester UK
3. Centre for Biostatistics University of Manchester Manchester UK
4. Mersey Care NHS Foundation Trust Winwick UK
Abstract
AbstractObjectivesPsychosis can be thought of as a threat‐based experience. Compassion has been shown to be effective in reducing threat, although highly distressed individuals may struggle to be self‐compassionate. This study explored the effects of compassionate interactions with staff on inpatients with psychosis.MethodExperience Sampling Method (ESM) was used to investigate the relationships between compassion from staff and paranoia, voice hearing, distress related to psychosis experiences, affect and risk incidents in daily life. Twenty‐two service users residing on inpatient mental health wards took part. Baseline measures of compassion, fears of compassion and affect were taken. Participants completed ESM assessments 10 times per day, over 6 days.ResultsCompassion from staff was associated with a small increase in voice hearing, but was not associated with paranoia, paranoia‐related distress, voice‐related distress, negative affect, positive affect, or risk incidents in daily life. Baseline fears of compassion moderated the relationships between compassion from staff and some of the service user outcomes. For inpatients scoring low on fears of compassion, compassionate interactions were associated with increased positive affect and lower paranoia. However, for those scoring high on fears of compassion, this relationship was reversed, and compassionate interactions were associated with higher paranoia and lower positive affect.ConclusionPeople with psychosis who have fears of compassion may benefit from receiving support to address these fears in order to experience the benefit from the compassion of staff. The results should be interpreted with caution due to the low number of observations and limited statistical power.