The Impact of the COVID-19 Pandemic on ICU Healthcare Professionals: A Mixed Methods Study.
Cristina Moreno-MuletNoemí SansóAlba Carrero-PlanellsCamelia López-DefloryLaura GalianaPatricia Garcia-PazoMaria Magdalena Borràs-MateuMargalida Miró-BonetPublished in: International journal of environmental research and public health (2021)
The large numbers of patients admitted to intensive care units due to COVID-19 has had a major impact on healthcare professionals. The incidence of mental health disorders among these professionals has increased considerably and their professional quality of life has suffered during the pandemic. This study aims to explore the impact of the provision of COVID-19 patient care on ICU healthcare professionals. A mixed methods study with an exploratory concurrent design was conducted between June and November 2020 in the Balearic Islands, Spain. Data were collected using a self-report online survey (n = 122) based on three validated questionnaires, and individual semi-structured in-depth online interviews (n = 11). Respondents scored 2.5 out of 5 on the moral distress scale, moderate/high on the compassion satisfaction scale, and moderate on the burnout and compassion fatigue subscales. Age was significantly and negatively related to professional quality of life but was positively related to workload and unavailability of protective equipment. Three main groups of themes relating to the impact of the pandemic emerged from the in-depth interviews: (a) clinical, (b) professional, and (c) personal and family impacts in the two waves. ICU healthcare professionals should be viewed as second victims of the COVID-19 pandemic as they have suffered significant psychological, professional, and moral harm.
Keyphrases
- coronavirus disease
- sars cov
- intensive care unit
- mechanical ventilation
- mental health
- respiratory syndrome coronavirus
- optical coherence tomography
- health information
- social media
- high intensity
- risk factors
- electronic health record
- sleep quality
- healthcare
- acute respiratory distress syndrome
- big data
- machine learning
- locally advanced
- radiation therapy
- decision making
- artificial intelligence
- intimate partner violence