Sensory hypersensitivity after acquired brain injury: the patient perspective.

PURPOSE: Sensory hypersensitivity is a frequently reported complaint after acquired brain injury (ABI). This study explores patients' perceptions of sensory hypersensitivity following ABI and its impact on everyday life. MATERIALS AND METHODS: Semi-structured interviews were conducted with 18 patients with ABI (stroke, brain tumour, TBI) who reported complaints of sensory hypersensitivity. Interview data were analysed using qualitative thematic analysis. RESULTS: Six themes emerged from the data: (1) definition of sensory hypersensitivity, relating to individual perceptions of sensory hypersensitivity; (2) type of sensory stimuli, relating to the variety of stimuli that patients may be sensitive to; (3) course, relating to changes in sensory hypersensitivity following ABI; (4) fatigue, relating to its association with sensory hypersensitivity; (5) consequences of sensory hypersensitivity, relating to the physical, social and emotional impact of sensory hypersensitivity on patients' lives; and (6) coping strategies, relating to behaviours used to cope with sensory hypersensitivity. CONCLUSIONS: Sensory hypersensitivity can have a major impact on patients' physical well-being, return to work and (social) participation after ABI. Characteristics of sensory hypersensitivity vary between patients with ABI. To develop treatments for sensory hypersensitivity, future studies should focus on cognitive (e.g., filtering information) and psychological factors (e.g., coping) in relation to sensory hypersensitivity.

Sensory hypersensitivity occurs in all types of acquired brain injury (ABI).It is important to ask an ABI patient how sensory hypersensitivity is experienced.It is recommended to investigate the physical (e.g., headache) and emotional (e.g., irritability, anger, frustration) consequences of sensory hypersensitivity and its impact on return to work and social participation.When the patient mentions sensory hypersensitivity, also map cognition (with a focus on attention), fatigue, stress, and coping.

Automated spike and seizure detection: Are we ready for implementation?

OBJECTIVE: Automated detection of spikes and seizures has been a subject of research for several decades now. There have been important advances, yet automated detection in EMU (Epilepsy Monitoring Unit) settings has not been accepted as standard practice. We intend to implement this software at our EMU and so carried out a qualitative study to identify factors that hinder ('barriers') and facilitate ('enablers') implementation. METHOD: Twenty-two semi-structured interviews were conducted with 14 technicians and neurologists involved in recording and reporting EEGs and eight neurologists who receive EEG reports in the outpatient department. The study was reported according to the Consolidated Criteria for Reporting Qualitative Studies (COREQ). RESULTS: We identified 14 barriers and 14 enablers for future implementation. Most barriers were reported by technicians. The most prominent barrier was lack of trust in the software, especially regarding seizure detection and false positive results. Additionally, technicians feared losing their EEG review skills or their jobs. Most commonly reported enablers included potential efficiency in the EEG workflow, the opportunity for quantification of EEG findings and the willingness to try the software. CONCLUSIONS: This study provides insight into the perspectives of users and offers recommendations for implementing automated spike and seizure detection in EMUs.

Compassion-focused therapy as guided self-help for enhancing public mental health: A randomized controlled trial.

OBJECTIVE: Despite promising results for compassion-focused therapy (CFT) as self-help, larger-scale trials including long-term follow-up data are needed to establish its effectiveness in the context of public mental health. Empirical evidence supporting its effectiveness in improving well-being is lacking. In a randomized controlled trial, the effects of CFT as guided self-help on well-being were evaluated. METHOD: Adults (mean age = 52.87, SD = 9.99, 74.8% female) with low to moderate levels of well-being were recruited in the Dutch population and randomized to CFT (n = 120) or a waitlist control group (n = 122). Participants completed the Mental Health Continuum-Short Form (well-being), Hospital Anxiety and Depression Scale (depression and anxiety), Perceived Stress Scale (stress), Self-Compassion Scale-Short Form (self-compassion), Forms of Self-Criticizing/Attacking and Reassurance Scale (self-criticism and self-reassurance), Positive and Negative Affect Schedule (positive/negative affect), and Gratitude questionnaire (gratitude) at baseline, postintervention (3 months), 3- and 9-month follow-up. RESULTS: Compared with the waitlist control group, the CFT group showed superior improvement on well-being at postintervention, d = .51, 95% CI [.25, .77], p < .001, and 3-month follow-up, d = .39, 95% CI [.13, .65], p < .001. No significant moderators were found. On all secondary outcome measures but positive affect, the intervention group showed significantly greater improvements up to 3-month follow-up. At 9-month follow-up, improvements on all measures were retained or amplified among CFT participants. CONCLUSIONS: CFT as guided self-help shows promise as a public mental health strategy for enhancing well-being and reducing psychological distress. (PsycINFO Database Record