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This study explores the mediational role of resilience, experiential avoidance and emotion regulation in the levels of anxiety, depression and posttraumatic stress disorder (PTSD) of healthcare workers during the COVID-19 pandemic. Additionally, we explored the association of such levels with personal and professional variables.
Cross-sectional study.
Healthcare professionals working in Spain (N = 786) were recruited following a snowball approach in November and December 2021. Resilience, emotion regulation, experiential avoidance, depression, anxiety, PTSD and work-related variables were measured. Mean differences and correlations were computed, and a path analysis with latent variables (PALV) model was tested.
In total, 18.8% of the sample scored above the cut-off score for depression, 24.6% for anxiety and 36.4% for PTSD. Higher resilience and lower experiential avoidance and expression suppression were correlated with better mental health. The PALV model explained 42%–53% of mental health outcomes. Experiential avoidance showed the greatest explanatory power and mediated the impact that stressors had on mental health. Some work-related variables correlated with greater psychological impact. These factors encompassed being a nurse, feeling that their job remained stressful and had not yet returned to its pre-pandemic state and having interacted with individuals facing economic difficulties due to the pandemic, and those who had lost their lives to COVID-19.
Healthcare workers showed high levels of psychological impact during the COVID-19 pandemic. Such impact was predicted from some work-stress variables and the reliance on maladaptive strategies such as experiential avoidance and expressive suppression.
Training healthcare professionals to use coping strategies incompatible with experiential avoidance may improve their mental health. Additionally, better working conditions are fundamental for reducing the impact of critical situations on healthcare workers' mental health.
No patient or public contribution.
Implementation of enhanced recovery pathways (ERPs) has resulted in improved patient-centred outcomes and decreased costs. However, there is a lack of high-level evidence for many ERP elements. We have designed a randomised, embedded, multifactorial, adaptive platform perioperative medicine (REMAP Periop) trial to evaluate the effectiveness of several perioperative therapies for patients undergoing complex abdominal surgery as part of an ERP. This trial will begin with two domains: postoperative nausea/vomiting (PONV) prophylaxis and regional/neuraxial analgesia. Patients enrolled in the trial will be randomised to arms within both domains, with the possibility of adding additional domains in the future.
In the PONV domain, patients are randomised to optimal versus supraoptimal prophylactic regimens. In the regional/neuraxial domain, patients are randomised to one of five different single-injection techniques/combination of techniques. The primary study endpoint is hospital-free days at 30 days, with additional domain-specific secondary endpoints of PONV incidence and postoperative opioid consumption. The efficacy of an intervention arm within a given domain will be evaluated at regular interim analyses using Bayesian statistical analysis. At the beginning of the trial, participants will have an equal probability of being allocated to any given intervention within a domain (ie, simple 1:1 randomisation), with response adaptive randomisation guiding changes to allocation ratios after interim analyses when applicable based on prespecified statistical triggers. Triggers met at interim analysis may also result in intervention dropping.
The core protocol and domain-specific appendices were approved by the University of Pittsburgh Institutional Review Board. A waiver of informed consent was obtained for this trial. Trial results will be announced to the public and healthcare providers once prespecified statistical triggers of interest are reached as described in the core protocol, and the most favourable interventions will then be implemented as a standardised institutional protocol.
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