Uncertainty and COVID-19: how are we to respond?
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As if writing prophetically about the global Covid-19 pandemic, in 1984 Eddy suggested, “Uncertainty creeps into medical practice through every pore. Whether a physician is defining a disease, making a diagnosis, selecting a procedure, observing outcomes, assessing probabilities, assigning preferences, or putting it all together, he (or she) is walking on very slippery terrain” 1. Covid-19 has rapidly become a disease associated with unbridled uncertainty with its aetiology and management, for the healthcare systems and health professionals who provide care, and among its ultimate victims, patients and their families.
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The protracted, inherently complex, and unpredictable nature of global adversities translates into numerous situational uncertainties about personal prospects and the possibility of achieving life goals.
“The protracted, inherently complex, and unpredictable nature of such adversities translates into numerous situational uncertainties about personal prospects and the possibility of achieving life goals [43,44].”
From Impact of Media-Induced Uncertainty on Mental Health: Narrative-Based Perspective. (2025) · cites this paper as [43]
The Introduction describes COVID-19 as a source of multiple forms of uncertainty, and ‘People at the epicentre of uncertainty’ describes patients and families worrying about survival, reunion, and what life after illness might look like (page not provided). The paper does not address global adversities generally or say that uncertainty concerns the possibility of achieving life goals. (LLM, conf=0.84)
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- Authors
- Koffman, J., Gross, J., Etkind, S. N., & Selman, L.
- Affiliations
- King's College London (GB)
- London North West Healthcare NHS Trust (GB)
- University of Bristol (GB)
- Corresponding author
- Koffman, Jonathan
- Venue
- Journal of the Royal Society of Medicine
- Publisher
- SAGE Publications
- Published
- 2020-06
- Volume
- 113
- Issue
- 6
- Pages
- 211-216
- ISSN
- 0141-0768 (ISSN-L)
- 1758-1095
- PMC
- PMC7439590
- OpenAlex
- W3025624029
- Cited by
- 305
- References
- 19
- Citations by year
- 2026: 11 · 2025: 22 · 2024: 57 · 2023: 76 · 2022: 67 · 2021: 67 · 2020: 5
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of the Royal Society of Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Bristol Research (University of Bristol) (submittedVersion, other-oa)
- Apollo (University of Cambridge) (submittedVersion)
- Apollo
- Funders
- National Institute for Health and Care Research (ACF-2012-17-020, CDF-2018-11-ST2-009)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Keywords
- COVID-19 pandemic, uncertainty, clinical decision-making, clinical uncertainty, pandemic response, diagnosis, treatment management
- MeSH terms
- Clinical Decision-Making, Betacoronavirus, COVID-19, SARS-CoV-2, Family, Health Personnel, Humans, Physician's Role, Pneumonia, Viral, Prognosis, Coronavirus Infections, Critical Pathways, Needs Assessment, Uncertainty, Emotional Intelligence, Pandemics
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.
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