Strengthening the ICUs' human resource-related responses to Covid-19: A rapid review of the experience during the first year of public health emergency.
Aizhan TursunbayevaStefano Di LauroPublished in: The International journal of health planning and management (2022)
By drawing on macro-categories of key human resource (HR) management interventions recommended by the Organization for Economic Co-operation and Development (OECD) during the Covid-19 pandemic, this study aimed to explore whether and how Intensive Care Units (ICU) have strengthened their HRs during the first year of Covid-19 emergency. A rapid review was conducted to provide a quick synthesis of the literature in English identified in the Web of Science Core Collection (WoS), PubMed, and Scopus databases. A total of 68 articles qualified for the final analysis. The findings illustrated that health organisations were often guided by staffing ratios to estimate capacity to care, aimed to modify the scope of practice of providers, redeployed both internal and external staff to ICUs, created and adapted the Covid-19-specific staffing models, and implemented technological innovations to provide services to the unprecedented number of patients while protecting the physical and mental health of their staff. The insights of this research should be helpful for health leaders, HR Managers, and policymakers who have faced unprecedented challenges and tough decisions during this emergency. The findings could also inform beyond-Covid-19 ICU policies and guide future research.
Keyphrases
- public health
- coronavirus disease
- mental health
- sars cov
- healthcare
- intensive care unit
- endothelial cells
- global health
- emergency department
- physical activity
- newly diagnosed
- palliative care
- end stage renal disease
- systematic review
- respiratory syndrome coronavirus
- ejection fraction
- induced pluripotent stem cells
- chronic kidney disease
- climate change
- chronic pain
- artificial intelligence
- risk assessment
- pluripotent stem cells
- affordable care act
- human health
- machine learning
- big data
- patient reported
- health information