| Literature DB >> 33450202 |
Alexander Supady1, J Randall Curtis2, Darryl Abrams3, Roberto Lorusso4, Thomas Bein5, Joachim Boldt6, Crystal E Brown7, Daniel Duerschmied8, Victoria Metaxa9, Daniel Brodie3.
Abstract
The COVID-19 pandemic strained health-care systems throughout the world. For some, available medical resources could not meet the increased demand and rationing was ultimately required. Hospitals and governments often sought to establish triage committees to assist with allocation decisions. However, for institutions operating under crisis standards of care (during times when standards of care must be substantially lowered in the setting of crisis), relying on these committees for rationing decisions was impractical-circumstances were changing too rapidly, occurring in too many diverse locations within hospitals, and the available information for decision making was notably scarce. Furthermore, a utilitarian approach to decision making based on an analysis of outcomes is problematic due to uncertainty regarding outcomes of different therapeutic options. We propose that triage committees could be involved in providing policies and guidance for clinicians to help ensure equity in the application of rationing under crisis standards of care. An approach guided by egalitarian principles, integrated with utilitarian principles, can support physicians at the bedside when they must ration scarce resources.Entities:
Mesh:
Year: 2021 PMID: 33450202 PMCID: PMC7837018 DOI: 10.1016/S2213-2600(20)30580-4
Source DB: PubMed Journal: Lancet Respir Med ISSN: 2213-2600 Impact factor: 30.700
FigureDecision making inputs and constraints
ICU=intensive care unit.
Advantages and disadvantages of different decision makers and principles used for rationing decisions when intensive care unit resources become scarce
| Triage committee | Separates allocation decision from clinical decision making, thereby relieving bedside clinicians and preserving the physician–patient relationship; providing a perspective without knowing the patient might enable more objective decision making | Lacks flexibility when resource limitations are rapidly changing; consumes crucial resources, such as physicians, nurses, and other staff needed at bedside |
| Bedside physician-led decision making | Allows for an informed decision being made on the basis of first-hand knowledge of the patients | Limited to the patients cared for by the physician; limits ability to fully incorporate system-wide constraints or resource limitations; outcomes cannot be maximised across patients in the hospital or region |
| Maximisation of benefits (utilitarian principles) | Maximises given outcome across a population—eg, most life-years or quality adjusted life-years saved | Might come into conflict with individual rights-based (egalitarian) principles; depends on predictions of outcomes, the data for which might be scarce or flawed; difficult to implement in a chaotic, pervasive pandemic; vulnerable to discrimination against disadvantaged people (the poor and less educated, racially disadvantaged, and disabled people) |
| Individual rights (egalitarian principles) | Respects the individual and takes seriously the distinction between persons; more feasible to incorporate in a chaotic, pervasive pandemic | Does not safeguard efficient distribution of resources across a population |
| Decision making based on instrumental value | Rewards and preserves those who provide valuable assets to society during a pandemic | Difficult to fairly judge individuals' value; vulnerable to discrimination against those with less opportunity to provide a given value |
| Maximise number of lives saved | Combines utilitarian aspects (number of lives) and egalitarian convictions (each life counts, regardless of its quality or societal benefit) | Depends on predictions of outcomes, the data for which might be scarce or flawed; difficult to implement in a chaotic, pervasive pandemic |
| Priority to the worst off | Those in danger of rapid deterioration will be treated first | Potential waste of scarce resources on those who cannot be saved |
| First-come, first-served | Treats people equally, does not presuppose prediction of treatment outcomes | Likely to benefit individuals from higher socioeconomic backgrounds, who are mobile, and who are well informed, and to disadvantage poor and disabled people; likely to give priority to the frailest patients (who probably suffer from serious courses of the disease first) thus prohibiting admissions of the young and otherwise healthy who would come later in the disease period; does not safeguard efficient distribution of resources across a population |
| Lottery | Treats people equally, avoids bias, does not presuppose prediction of treatment outcomes | Does not safeguard efficient distribution of resources across a population; unlikely to be acceptable to clinicians, patients, and family members |