ArticleJournal of medical ethics2024
Staffing crisis capacity: a different approach to healthcare resource allocation for a different type of scarce resource.
Article in Journal of medical ethics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Resource allocation decisions faced by health care providers during the COVID-19 pandemic in a community intensive care unit in Ontario, Canada: a qualitative study.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2026Article
- Commissioners' views and experiences of implementing virtual wards in Integrated Care Systems in England: a longitudinal qualitative study using the Consolidated Framework for Implementation Research (CFIR).BMC health services research · 2026Article
- Exploring nudging strategies for plant-based dietary choices in hospital patients: a quasi-experimental study.The international journal of behavioral nutrition and physical activity · 2025Article
- Evolution of burnout syndrome in Spanish healthcare professionals during and after the COVID-19 pandemic: psychosocial variables involved.Frontiers in medicine · 2025Article
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Authors and funding
3 authors.
Funding
Abstract
Severe staffing shortages have emerged as a prominent threat to maintaining usual standards of care during the COVID-2019 pandemic. In dire settings of crisis capacity, healthcare systems assume the ethical duty to maximise aggregate population-level benefit of existing resources. To this end, existing plans for rationing mechanical ventilators and intensive care unit beds in crisis capacity focus on selecting individual patients who are most likely to survive and prioritising these patients to receive scarce resources. However, staffing capacity is conceptually different from availability of these types of discrete resources, and the existing strategy of identifying and prioritising patients with the best prognosis cannot be readily adapted to fit this real-world scenario. We propose that two alternative approaches to staffing resource allocation offer a better conceptual fit: (1)
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