The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Fair Allocation of Scarce Medical Resources in the Time of Covid-19
Abstract
Covid-19 is officially a pandemic. It is a novel infection with serious clinical manifestations, including death, and it has reached at least 124 countries and territories. Although the ultimate course and impact of Covid-19 are uncertain, it is not merely possible but likely that the disease will produce enough severe illness to overwhelm health care infrastructure. Emerging viral pandemics “can place extraordinary and sustained demands on public health and health systems and on providers of essential community services.” Such demands will create the need to ration medical equipment and interventions. Rationing is already here. In the United States, perhaps the earliest example was the near-immediate recognition that there were not enough high-filtration N-95 masks for health care workers, prompting contingency guidance on how to reuse masks designed for single use. Physicians in Italy have proposed directing crucial resources such as intensive care beds and ventilators to patients who can benefit most from treatment. Daegu, South Korea — home to most of that country’s Covid-19 cases — faced a hospital bed shortage, with some patients dying at home while awaiting admission. In the United Kingdom, protective gear requirements for health workers have been downgraded, causing condemnation among providers. The rapidly growing imbalance between supply and demand for medical resources in many countries presents an inherently normative question: How can medical resources be allocated fairly during a Covid-19 pandemic?
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia
Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575
Principles for allocation of scarce medical interventions
Persad, G., Wertheimer, A., & Emanuel, E. J. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60137-9 · Cited by 929
Self-citation
Cited by
How mental health care should change as a consequence of the COVID-19 pandemic
Moreno, C., Wykes, T., Galderisi, S., Nordentoft, M., Crossley, N., Jones, N., Cannon, M., Correll, C. U., Byrne, L., Carr, S., et al. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30307-2 · Cited by 1,840
Principles of Clinical Ethics and Their Application to Practice
Varkey, B. (2021) · Medical Principles and Practice · doi:10.1159/000509119 · Cited by 1,171
Elevated levels of IL-6 and CRP predict the need for mechanical ventilation in COVID-19
Herold, T., Jurinovic, V., Arnreich, C., Lipworth, B. J., Hellmuth, J. C., von Bergwelt-Baildon, M., Klein, M., & Weinberger, T. (2020) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2020.05.008 · Cited by 1,161
Crawford, A., & Serhal, E. (2020) · Journal of Medical Internet Research · doi:10.2196/19361 · Cited by 630
COVID-19: ICU delirium management during SARS-CoV-2 pandemic
Kotfis, K., Williams Roberson, S., Wilson, J. E., Dabrowski, W., Pun, B. T., & Ely, E. W. (2020) · Critical Care · doi:10.1186/s13054-020-02882-x · Cited by 506
Moral injury in healthcare professionals: A scoping review and discussion
Čartolovni, A., Stolt, M., Scott, P. A., & Suhonen, R. (2021) · Nursing Ethics · doi:10.1177/0969733020966776 · Cited by 454
Artificial Intelligence for COVID-19: Rapid Review
(2020) · doi:10.2196/21476 · Cited by 160
Adly, A. S., Adly, A. S., & Adly, M. S. (2020) · Journal of Medical Internet Research · doi:10.2196/19104 · Cited by 138
Farrell, T. W., Ferrante, L. E., Brown, T., Francis, L., Widera, E., Rhodes, R., Rosen, T., Hwang, U., Witt, L. J., Thothala, N., et al. (2020) · Journal of the American Geriatrics Society · doi:10.1111/jgs.16537 · Cited by 137
Litton, E., Bucci, T., Chavan, S., Ho, Y. Y., Holley, A., Howard, G., Huckson, S., Kwong, P., Millar, J., Nguyen, N., et al. (2020) · Medical Journal of Australia · doi:10.5694/mja2.50596 · Cited by 134
Should governments continue lockdown to slow the spread of covid-19?
Melnick, E. R., & Ioannidis, J. P. A. (2020) · BMJ · doi:10.1136/bmj.m1924 · Cited by 104
Singh, K., Valley, T. S., Tang, S., Li, B. Y., Kamran, F., Sjoding, M. W., Wiens, J., Otles, E., Donnelly, J. P., Wei, M. Y., et al. (2021) · Annals of the American Thoracic Society · doi:10.1513/annalsats.202006-698oc · Cited by 111
Equitably Allocating Resources during Crises: Racial Differences in Mortality Prediction Models
Ashana, D. C., Anesi, G. L., Liu, V. X., Escobar, G. J., Chesley, C., Eneanya, N. D., Weissman, G. E., Miller, W. D., Harhay, M. O., & Halpern, S. D. (2021) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202012-4383oc · Cited by 98
Walz, L., Cohen, A. J., Rebaza, A. P., Vanchieri, J., Slade, M. D., Dela Cruz, C. S., & Sharma, L. (2021) · BMC Infectious Diseases · doi:10.1186/s12879-020-05730-z · Cited by 82
A Unique Presentation of Delirium in a Patient with Otherwise Asymptomatic COVID ‐19
Alkeridy, W. A., Almaghlouth, I., Alrashed, R., Alayed, K., Binkhamis, K., Alsharidi, A., & Liu‐Ambrose, T. (2020) · Journal of the American Geriatrics Society · doi:10.1111/jgs.16536 · Cited by 70
Digital coaching strategies to facilitate behavioral change in type 2 diabetes: a systematic review
Gershkowitz, B. D., Hillert, C. J., & Crotty, B. H. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa850 · Cited by 67
Dal-Ré, R., Becker, S. L., Bottieau, E., & Holm, S. (2022) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(22)00119-0 · Cited by 59
Shinde, T., Hansbro, P. M., Sohal, S. S., Dingle, P., Eri, R., & Stanley, R. (2020) · Microorganisms · doi:10.3390/microorganisms8060921 · Cited by 61
Kamran, F., Tang, S., Otles, E., McEvoy, D. S., Saleh, S. N., Gong, J., Li, B. Y., Dutta, S., Liu, X., Medford, R. J., et al. (2022) · BMJ · doi:10.1136/bmj-2021-068576 · Cited by 60
Bargon, C., Batenburg, M., van Stam, L., van der Molen, D. M., van Dam, I., van der Leij, F., Baas, I., Ernst, M., Maarse, W., Vermulst, N., et al. (2020) · European Journal of Cancer · doi:10.1016/s0959-8049(20)30563-3 · Cited by 33
Hinson, J. S., Klein, E., Smith, A., Toerper, M., Dungarani, T., Hager, D., Hill, P., Kelen, G., Niforatos, J. D., Stephens, R. S., et al. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00646-1 · Cited by 30
DNR and COVID-19: the ethical dilemma and suggested solutions
Sultan, H., Mansour, R., Shamieh, O., Al-Tabba', A., & Al-Hussaini, M. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.560405 · Cited by 28
Rajamani, A., Subramaniam, A., Shekar, K., Haji, J., Luo, J., Bihari, S., Wong, W. T., Gullapalli, N., Renner, M., Alcancia, C. M., et al. (2021) · Australian Critical Care · doi:10.1016/j.aucc.2020.09.006 · Cited by 27
Majeed, M., Irshad, M., & Bartels, J. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182010705 · Cited by 26
Vissers, M. F. J. M., Cohen, A. F., Van Gerven, J. M. A., & Groeneveld, G. J. (2021) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.14480 · Cited by 25
Zhu, J., Brenna, C. T. A., McCoy, L. G., Atkins, C. G. K., & Das, S. (2022) · BMC Medical Ethics · doi:10.1186/s12910-022-00749-0 · Cited by 21
Clarfield, A. M., & Jotkowitz, A. (2020) · Israel Journal of Health Policy Research · doi:10.1186/s13584-020-00416-y · Cited by 20
Laxar, D., Eitenberger, M., Maleczek, M., Kaider, A., Hammerle, F. P., & Kimberger, O. (2023) · BMC Medicine · doi:10.1186/s12916-023-03068-2 · Cited by 19
“The outbreak of the SARS-CoV-2 pandemic spiked both public and healthcare professional interests in the process of triage [6, 7].”
Background
Metadata
- Authors
- Emanuel, E. J., Persad, G., Upshur, R., Thome, B., Parker, M., Glickman, A., Zhang, C., Boyle, C., Smith, M., & Phillips, J. P.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2020-05-21
- Volume
- 382
- Issue
- 21
- Pages
- 2049-2055
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W3012690896
- Cited by
- 3,137
- References
- 2
- FWCI
- 581.84
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
