Burnout Syndrome

Burnout is a common problem among healthcare professionals and may affect their psychological well-being, quality of life, and professional functioning. This study will examine whether an intensive compassion-based intervention can help reduce burnout and improve well-being in healthcare professionals. Participants will be randomly assigned to either an Attachment-Based Compassion Therapy intervention or a relaxation intervention. Outcomes will be measured before the intervention, immediately after the intervention, and three months later. Attachment-Based Compassion groups will be composed of 80 participants each, and TAU group will be composed of 80 participants (total sample n = 160). Burnout Inventory-Human Services Survey - MBI-HSS. Burnout will be assessed using the Maslach Burnout Inventory-Human Services Survey. This questionnaire evaluates the three main dimensions of burnout: emotional exhaustion, depersonalization, and personal accomplishment. Items are rated on a Likert-type scale according to the frequency with which the participant experiences each symptom. Scores are calculated separately for each burnout dimension. In this study, emotional exhaustion and depersonalization will be considered the primary outcome variables, while reduced personal accomplishment will be considered a secondary outcome variable

The NeuroFinance Human Stress Trial (NFHST-2026-001) is a decentralized observational clinical study designed to evaluate how financial market volatility, economic uncertainty, digital media exposure, and information-driven stress environments affect human physiologic and behavioral health. Participants will undergo remote monitoring using wearable biosensors, cardiovascular telemetry devices, sleep tracking systems, heart rate variability monitoring, and behavioral analytics platforms. The study will use artificial intelligence and machine learning systems to analyze relationships between external financial and informational events and biologic stress responses, including autonomic nervous system activity, sleep disruption, cardiovascular strain, emotional resilience, and inflammatory signaling. The goal of the study is to develop predictive digital biomarkers and AI-assisted forecasting systems capable of identifying stress-related physiologic deterioration before clinical manifestation.

Burnout is highly prevalent among oncology clinicians, including residents in training. This prospective, mixed-methods, quasi-experimental study will evaluate how burnout changes over 12 months during the first year of medical oncology residency and explore which work-related, professional identity, and program support factors influence this variation. Residents will participate in a structured self-care and burnout prevention program with multiple modules (e.g., yoga, mindfulness, art therapy, music therapy, Balint groups, workshops, mentorship). Quantitative burnout outcomes will be measured using the Maslach Burnout Inventory (MBI-HSS), and qualitative insights will be collected through individual semi-structured interviews. The study will also describe sociodemographic characteristics, baseline burnout prevalence, participation/adherence, satisfaction, and implementation barriers/facilitators.

This is a randomized controlled trial aiming to develop and evaluate a workplace health program to improve stress resilience and mental well-being among healthcare workers at University Medicine Essen using a participatory research design (including a steering committee composed of hospital staff, needs assessment through focus groups, and pilot testing). The intervention combines mind-body medicine techniques, complementary medicine self-care strategies, and psycho-biotic nutrition. If successful, the program will be integrated into routine workplace health management and serve as a model for other healthcare institutions.

Burnout is highly prevalent among VA primary care providers and staff, impairing productivity and retention, as well as safety, quality, and patient experience. In this pilot trial, the investigators will facilitate the development of burnout reduction interventions using an evidence-based quality improvement (EBQI) approach, and then evaluate the feasibility, acceptability and effectiveness of a pilot EBQI-facilitated burnout reduction intervention in a modified stepped wedge design in one VA region.

One hundred ICU doctors, nurses and psychologists from the 28 units participating in the EPIC stepped-wedge trial (ClinicalTrials.gov NCT06605079) will each complete the same four-part survey twice-once during their unit's usual-care phase and again during the EPIC tele-palliative-care intervention. The questionnaire begins with Part A, gathering demographic and professional details such as age, gender, family status, education, role, years of ICU service, shift patterns, leave days and any prior palliative-care or ethics training. Part B then probes 22 workplace stressors and ethical dilemmas-resource constraints, family pressures, moral conflicts, emotional distancing from colleagues, perceived control over decisions and work-life balance-using a five-point frequency scale. Part C merges a 19-item Maslach Burnout Inventory subset (emotional exhaustion, depersonalization, personal accomplishment) on a seven-point frequency scale with a 16-item Oldenburg Burnout Inventory subset (exhaustion, disengagement) on a four-point agreement scale. Finally, Part D employs Neff's 16-item Self-Compassion Scale-rated from almost never to almost always-to assess self-kindness, common humanity, mindfulness, self-judgment, isolation and over-identification. Within-subject, repeated-measures analyses of total and subscale scores will quantify how EPIC's blended-learning curriculum and standardized teleconsultations shift clinician burnout profiles and self-compassion over time.

Burnout is an increasing concern in the medical professions. This study aims to utilise established, validated self-report measures combined with continuous heart rate variability measurements to better understand the stress and recovery patterns experienced by doctors that may contribute to burnout. This mixed methods study design will consist of an ecological momentary assessment phase where participants will complete commonly used and validated real-time subjective measures while concurrently wearing a heart rate variability monitor to provide an objective measure of stress. Following on from this, participants of interest will be invited to participate in semi structured interviews to further explore their experiences of stress and recovery.

Burnout syndrome is an occupational disease that has affected health care providers, for example, caregivers of older adults. This syndrome negatively affects physical and psychological health, which may reflect on the mental health of the caregiver and the care provided to the older adults. Interventions have been developed to minimize the impacts of burnout. Thus, this study has two main objectives: 1) to identify the effect of cannabidiol on indicators of burnout and empathy of caregivers of older people with functional dependence for activities of daily living; 2) identify possible associations between burnout indicators, empathy levels and their domains, and quality of care. This is a two-phase study (i.e., Phase 1: cross-sectional; Phase 2: clinical trial). In Phase 1, caregivers will answer questionnaires developed by researchers for sociodemographic characterization, care and satisfaction of care. In addition, they will complete instruments to assess the functional dependence of the older people - EIAVD, depressive symptoms - PHQ-9, social support - EAS, Burnout syndrome - MBI and Empathy - EMRI and MET. In Phase 2, caregivers will be randomized to cannabidiol or placebo intervention. Caregivers with number 0 will be allocated to the intervention using cannabidiol (300mg - divided into two times a day) and those drawn with number 1 will be allocated to the placebo group. Both interventions will be performed for four weeks. Caregivers will fill in the MBI, EMRI, MET, NPI and QAO instruments before and after the intervention. UKU-SERS will also be applied to evaluate side effects, IECC to assess the impact of intervention on care and CGI to assess severity and response to treatment.