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Record W3017877307 · doi:10.1016/s2468-2667(20)30096-7

Pitfalls of judgment during the COVID-19 pandemic

2020· review· en· W3017877307 on OpenAlexafffundabout
Donald A. Redelmeier, Eldar Shafir

Bibliographic record

VenueThe Lancet Public Health · 2020
Typereview
Languageen
FieldDecision Sciences
TopicDecision-Making and Behavioral Economics
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreInstitute for Clinical Evaluative SciencesUniversity of Toronto
FundersUniversity of Toronto
KeywordsIsolation (microbiology)Social distanceBlamePandemicNeglectCoronavirus disease 2019 (COVID-19)PsychologySocial isolationCoping (psychology)Mental healthPsychological resilienceSocial psychologyMedicineDiseasePsychiatryInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

The coronavirus disease 2019 (COVID-19) crisis is a pandemic challenging human biology, the capacity of acute care hospitals, the financial resilience of economies, and the communication network for people. Strategies for reducing transmission have included repeated hand washing, physical distancing, and self-isolation. These preventive strategies are immediately available, highly affordable, and distinctly effective; however, a major challenge is the need to maintain adherence. The purpose of this Comment is to review eight behavioural pitfalls reported by psychological science, which are relevant to contexts that require judgment under uncertainty (table). We suggest that awareness of these pitfalls might help to maintain behaviour change to fight the COVID-19 crisis.TableSummary of pitfalls in judgmentPatternStrategyExampleFear of the unknownUnknown risks attract more attention than do regular eventsProvide repeated reminders after the initial shock fades“We've been at it for a while, yet must be as vigilant as when it was all new.”Personal embarrassmentUnintended personal lapses add to later self-blame or stigmaAcknowledge that this reaction is normal behaviour and use celebrity patients to lessen stigma“This can happen to everybody. Tom Hanks acquired COVID-19 infection too.”Neglect of competing riskProminent threats deflect attention from other risksStay mindful of mundane everyday hazards that can be overlooked“This pandemic is not the only risk to your health that needs attention.”Invisible diseasesProblems might be missed if objective data are absentGuard against mental health complications“Social distancing causes stress due to isolation. How are you coping?”No clear feedbackLearning requires reliable follow-upAvoid scrutinising rapidly fluctuating and unstable updates“Focus on your own planned behaviour and not population statistics that change daily.”Status quo biasStrong desire to resist changeEmphasise potential future gains“This crisis can help us to look at many things anew.”Ingrained societal normsHabits are difficult to changeKeep reminding and highlighting others who have changed behaviours“Remember to avoid touching your face and politely correct those still doing it.”Hindsight biasSummary judgments are weighed by final outcomesAvoid second guessing early attempts too harshly“The pandemic was hard to predict and difficult to manage at the time.” Open table in a new tab The first pitfall is fear of the unknown. A traditional factor attracting attention is the psychological response to threats that are mysterious.1Slovic P Perception of risk.Science. 1987; 236: 280-285Crossref PubMed Scopus (6428) Google Scholar Such intense sensitivity to uncertain threats—a hypervigilant fear of the unknown—is common and often at the root of fear-based psychopathologies.2Gorka SM Lieberman L Shankman S Phan KL Startle potentiation to uncertain threat as a psychophysiological indicator of fear-based psychopathology: an examination across multiple internalizing disorders.J Abnorm Psychol. 2017; 126: 8-18Crossref PubMed Scopus (78) Google Scholar COVID-19 was initially denoted as the coronavirus of unknown origin, raising a particularly ominous spectre of unseen troubles.3Hamzelou J Mysterious illness outbreak in China seems to be caused by a new virus. New Scientist, Jan 9, 2020https://www.newscientist.com/article/2229639-mysterious-illness-outbreak-in-china-seems-to-be-caused-by-a-new-virus/Date accessed: April 6, 2020Google Scholar However, with time the relative newness and mystery of COVID-19 will fade, leading to a commensurate reduction in attention. Adaptation to familiar circumstances means the sense of threat will attenuate, along with adherence to public health recommendations. Repeated creative reminders linked to the evolving situation are important to avoid complacency as people grow inured. The second pitfall is personal embarrassment. One preventive strategy for COVID-19 is to avoid self-touching behaviours, such as placing a hand on the face. This recommendation is sensible because viral infection requires contact with a mucous membrane. A difficulty arises, however, because people have endless reflexive habitual actions that are hard to suppress.4Redelmeier DA Shafir E Why even good physicians do not wash their hands.BMJ Qual Saf. 2015; 24: 744-777Crossref PubMed Scopus (12) Google Scholar A lapse can be construed as a personal failure that is visible to others and causes shame. Furthermore, a subsequent infection connected to a preceding lapse might add to self-blame. Opinion leaders can highlight one of many celebrities who have tested positive as a way of mitigating the stigma. Additionally, authorities should counsel that momentary lapses are entirely natural, often surmountable, and should be followed by returning to best behaviours. The third pitfall is neglect of competing risks. COVID-19 is an overwhelming preoccupation. People particularly tend to focus their full attention on the threat, thereby causing tunnel vision that makes it easy to neglect a multitude of less salient considerations.5Redelmeier DA Tan SH Booth GL The treatment of unrelated disorders in patients with chronic medical diseases.N Engl J Med. 1998; 338: 1516-1520Crossref PubMed Scopus (564) Google Scholar Ongoing sleep, regular exercise, and human companionship all merit continued attention, which is contrary to an overwhelming sense that all else can wait. One way to address this challenge is by collaborating with clinicians to maintain a patient's context and to encourage in ways that promote safety against other harms. Individual patients still need to manage chronic diseases properly through continued adherence with medications, diet, and follow-up care. Keeping track of secondary hazards stays important, even in a pandemic. Another pitfall is invisible diseases. COVID-19 receives attention partially because it has an objective test that establishes the diagnosis. By contrast, most mental health disorders cannot be tracked with a test or tangible sign. The physical distancing recommended for COVID-19 also carries a downside of potentially increasing domestic frictions due to home isolation for some people or increased home interactions for others. This situation can potentially exacerbate a chronic psychiatric disorder (eg, paranoid schizophrenia, major depression, substance abuse) in conjunction with decreased access to psychiatric care. Increased mental health care and communication, supportive of a healthy home environment, are warranted for consistent behaviour change. An additional pitfall is that no clear feedback is provided. COVID-19 is unsettling because of the long incubation period, including a protracted wait between implementing an intervention and finding out results. These features are the antithesis of reinforcing positive behaviour through prompt unambiguous feedback.6Skinner BF Are theories of learning necessary?.Psychol Rev. 1950; 57: 193-216Crossref PubMed Scopus (954) Google Scholar The time delay also leads to an unnerving interval marked by psychosomatic symptoms and a sense of impending doom in earlier stages of the crisis. These vexing emotions are inevitable when a risk has widespread importance, yet slow onset. Furthermore, feelings will probably fluctuate in later stages because of difficulties in recognising a false finish or a second wave. Authorities should urge caution against acting on daily epidemic reports because random volatility might be mistaken for a real trend. A further pitfall is that a status quo bias abounds. Human behaviour is driven by a strong aversion to losses and a desire to maintain the status quo, which is an impulse that favours recouping losses rather than seizing options that lead to superior outcomes.7Tversky A Kahneman D Loss aversion in riskless choice: a reference-dependent model.Q J Econ. 1991; 106: 1039-1061Crossref Google Scholar Therefore, a temporary shaking of the status quo is an opportunity to refocus and look at things anew. Once the initial urgency is diminished, for example, hospitals can reconsider how clinicians adapt to new forms of telemedicine. A more radical suggestion could revisit the broader policy debates on whether nations without universal health care might return to a new normal. In general, some important public health advances might be easier to implement during an epidemic than before its onset or once the epidemic has largely abated. Ingrained societal norms are another pitfall. Human behaviour is heavily influenced by deeply ingrained societal norms. Welcoming patients warmly, standing close to colleagues, dining together with friends, and caring for grandparents are all behaviours that have been promoted and polished over a lifetime. Such norms are not easy to change.8Thaler RH Sunstein CR Nudge: improving decisions about health, wealth, and happiness. Yale University Press, New Haven2008Google Scholar Broadcasting and reminding patients about changed norms through slogans, images, and personal examples can help to facilitate the necessary behaviour change. Doctors and nurses are respected members in the community and need to be both transmitters of good information and role models for the right norms in and out of hospital. This approach might also help counteract misinformation that can circulate through internet sources. Hindsight bias is the final pitfall. The COVID-19 pandemic will eventually subside. At that point, hindsight bias will lead to castigating medical authorities who might have over-reacted or under-reacted (potentially exacerbated by adversarial political accusations of incompetence). The uneven distribution of cases within and between countries will further lead to charges of inequality and injustice. Needless to say, some of the critiques will be correct and justified. Dynamic and contradictory data, however, might make it difficult to establish exactly what was known at what time, and how differently things could have turned out otherwise. The collective mentality that we are all in this together was challenging when the COVID-19 pandemic began and might prove as equally difficult to sustain after it is over. Awareness of judgmental pitfalls might help to make things a little easier. We declare no competing interests. We thank Fizza Manzoor (University of Toronto, ON, Canada) and Sheharyar Raza (University of Toronto, ON, Canada) for their helpful comments.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0050.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.744
GPT teacher head0.558
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations37
Published2020
Admission routes3
Has abstractyes

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