112 What's your emergency? Overview of mental health and sleep disorders among emergency medical dispatchers in a French 112 call center.

BACKGROUND: Emergency medical dispatchers (EMD) experience significant occupational stress. Medical dispatching includes call-taking, triage, dispatch, and providing callers gesture guidance to the victims. Every decision has a major impact on the patient's outcome. Chronic exposure to stress and potentially traumatic situations, combined with night shifts can impact the stress response and physical health of staff. OBJECTIVES: To evaluate the prevalence of mental health and sleep disorders among EMD personnel working in a 112-call center, prior to an evidence-based prevention intervention (primary outcome); and to assess the relationship between health outcomes and DM (secondary outcome). METHODS: We conducted a descriptive, monocentric study with 109 EMD. HAD Anxiety (HAD-A) and Depression (HAD-D) scores, and the PTSD checklist for DSM-5 (PCL-5) were used to explore mental health disorders. The Epworth Sleepiness Scale, and other analog scales were used to explore sleep disorders. DM resources were assessed using the Freiburg Mindfulness Inventory (FMI), and its Presence and Acceptance subscales. RESULTS: A total of 72% of the EMD working in the call center were included. Of these, 16.6% had moderate anxiety disorder, and 6.4% had an anxiety disorder (Mean HAD-A: 6.05 ± 2.88). Furthermore, 16.6% had a moderate depression disorder, and 6.4% had a depression disorder (Mean HAD-D: 4.28 ± 3.28), and 16% had symptoms of PTSD (Mean PCL-5: 17.57 ± 13.67). Turning to sleep, 39% may suffer from excessive daytime sleepiness (EDS), and 10% had confirmed EDS (Mean Epworth score 10.47 ± 4.41). Finally, 39% had moderate insomnia, and 59% had severe insomnia (Mean insomnia: 13.84 ± 5.77.). Medium-strength negative correlations were found between mental health and DM (FMI scores and sub-scores: -0.48 < r < - 0.29; 0.001 < p < 0.004); and a positive correlation was found between DM and daytime awareness (0.22 < r < 0.26; 0.01 < p < 0.03). CONCLUSION: The prevalence of depression, symptoms of PTSD, and sleep disorders in our sample of EMD is significant, and confirms findings reported in the literature. The EMD population may benefit from specific, multi-level interventions that target mindfulness, sleep, and ergonomics to improve their mental and physical health.

Psychological, cognitive, and physiological impact of hazards casualties' trainings on first responders: the example of a chemical and radiological training. An exploratory study.

Background: First responders are among the first to respond to hazards casualties. They might operate in volatile, uncertain, complex, and ambiguous (VUCA) environments. While they have underlined the need to improve their knowledge and training to face these environments, there are few data regarding the stress induced by these trainings. Chemical, biological, radiological, and nuclear (CBRN) hazards casualties' trainings seem to be a good model of "in vivo" stress. First responders must operate in a hostile and encountered environment with a CBRN protective equipment that places demand on their psychological, cognitive, and physiological capacities. Current research recognizes that the activity of the parasympathetic system (PSS) can be used as an objective marker of stress adaptation, measured as heart rate variability (HRV). Objectives: To compare between baseline and simulation the evolution of the parasympathetic activity (primary outcome), anxiety, emotions, cognitive load, and body posture awareness (secondary outcomes). Methods: A total of 28 first responders attended to three simulated scenarios requiring CBRN management of casualties. One day before simulation, we collected HRV data (baseline). The simulations' day (pre-, post-simulation) we collected anxiety score (STAI-Y B), emotions (SPANE), cognitive load (NASA TLX), body posture awareness (PAS) and HRV. The morning after we collected the PAS score (recovery). We compare data' evolution between different times of the simulation. Results: (i) A high level of anxiety at baseline [Median 51 (46; 56)] which decreased between pre- and post-simulation (p = 0.04; F = 2.93); (ii) a post-simulation decrease in negative feelings (p = 0.03); (iii) a decrease in body awareness after simulation which returned to the initial level at recovery (p = 0.03; F = 3.48); (iv) a decrease in mean RR between baseline, pre- and post-simulation (p = 0.009; F = 5.11). There were no significant difference between times on others analysis of HRV. Conclusion: Prior to simulation, participants experienced anticipatory anxiety. Simulations training practiced regularly could be one way to combat anticipatory anxiety.

FIRECARE: An Evidence-Based Prevention Program to Reduce Burnout among Prehospital Caregivers: Benefits of a Combined Mindfulness, Heart Coherence Training, and Positive Psychology Intervention.

BACKGROUND: Burnout among emergency health care professionals is well-described, especially during the COVID-19 pandemic. Prevention interventions, such as mindfulness, focus on the management of stress. OBJECTIVE: To evaluate the effects of the FIRECARE program (a mindfulness intervention, supplemented by heart coherence training and positive psychology workshops) on burnout, secondary stress, compassion fatigue, and mindfulness among advanced life support ambulance staff of the Paris Fire Brigade. MATERIALS AND METHODS: We used a non-randomized, two-group quasi-experimental study design with a waitlist control and before-and-after measurements in each group. The intervention consisted of six, once-weekly, 2.5-h sessions that included individual daily meditation and cardiac coherence practice. The study compared intervention and waitlist control groups, and investigated baseline, post-program, and 3-month follow-up change on burnout (measuring using the ProQOL-5 scale) and mindfulness (measuring using the FMI scores). Baseline burnout (measured using the ProQOL-5) was evaluated and used in the analysis. RESULTS: Seventy-four 74 participants volunteered to participate; 66 were included in the final analysis. Of these, 60% were classified as suffering from moderate burnout, the 'burnout cluster'. A comparison of intervention and waitlist control groups found a decrease in the burnout score in the burnout cluster (p = 0.0003; partial eta squared = 0.18). However, while secondary stress fell among the burnout cluster, it was only for participants in the intervention group; scores increased for those in the waitlist group (p = 0.003; partial eta squared = 0.12). The pre-post-intervention analysis of both groups also showed that burnout fell in the burnout cluster (p = 0.006; partial eta squared = 0.11). At 3-month follow-up, the burnout score was significantly reduced in the intervention group (p = 0.02; partial eta squared = 0.07), and both the acceptance (p = 0.007) and mindfulness scores (p = 0.05; partial eta squared = 0.05) were increased in the baseline burnout cluster. CONCLUSION: FIRECARE may be a useful approach to preventing and reducing burnout among prehospital caregivers.