Covid-19 pandemic lessons: uncritical communication of test results can induce more harm than benefit and raises questions on standardized quality criteria for communication and liability

References

• Abel, M., Byker, T., & Carpenter, J. (2021). Socially optimal mistakes? Debiasing COVID-19 mortality risk perceptions and prosocial behavior. Journal of Economic Behavior & Organization, 183, 456–480.
   Web of Science ®Google Scholar
• Akesson, J., Ashworth-Hayes, S., Hahn, R., Metcalfe, R., & Rasooly, I. (2020). Fatalism, Beliefs, and behaviors during the COVID-19 pandemic. National Bureau of Economic Research Working Paper Series, No. 27245. Cambridge, USA. doi:https://doi.org/10.3386/w27245
   Google Scholar
• Baker, M. G., Wilson, N., & Anglemyer, A. (2020). Successful elimination of Covid-19 transmission in New Zealand. New England Journal of Medicine, 383(8), e56.
   PubMed Web of Science ®Google Scholar
• Cameron, L. D., & Jago, L. (2008). Emotion regulation interventions: A common-sense model approach. British Journal of Health Psychology, 13(Pt 2), 215–221.
   PubMedGoogle Scholar
• Carney, P. A., Miglioretti, D., & Yankaskas, B. (2003). Individual and combined effects of age, breast density, and hormone replacement therapy use on the accuracy of screening mammography. Annals of Internal Medicine, 138(3), 168–175.
   PubMed Web of Science ®Google Scholar
• Coronavirus SARS-CoV-2 – COVID-19: Fallzahlen in Deutschland und Weltweit [press release]. (2020). https://www.rki.de/DE/Content/InfAZ/N/Neuartiges_Coronavirus/Fallzahlen.html: RKI2020
   Google Scholar
• Eil, D., & Rao, J. M. (2011). The good news-bad news effect: Asymmetric processing of objective information about yourself. American Economic Journal: Microeconomics, 3(2), 114–138.
   Web of Science ®Google Scholar
• Engeset, R. V., Pfuhl, G., Landrø, M., Mannberg, A., & Hetland, A. (2018). Communicating public avalanche warnings – what works? Natural Hazards Earth System Science, 18(9), 2537–2559.
   Web of Science ®Google Scholar
• Fitzpatrick, K. M., Drawve, G., & Harris, C. (2020). Facing new fears during the COVID-19 pandemic: The state of America’s mental health. Journal of Anxiety Disorders, 75, 102291.
   PubMed Web of Science ®Google Scholar
• Gigerenzer, G., & Gaissmaier, W. (2011). Heuristic decision making. Annual Review of Psychology, 62(1), 451–482.
   PubMed Web of Science ®Google Scholar
• Gigerenzer, G., & Gray JA, M. (2013). Better doctors, better patients, better decisions: Volume 6: Envisioning health Care 2020. MIT Press, Cambridge.
   Google Scholar
• Haaland, I. K., Roth, C., & Wohlfart, J. (2020). Designing information provision experiments. CESifo, Munich.
   Google Scholar
• Hale, E., Treharne, G., & Kitas, G. (2007). The common-sense model of self-regulation of health and illness: How can we use it to understand and respond to our patients’ needs? Rheumatology, 46(6), 904–906.
   PubMed Web of Science ®Google Scholar
• Han, P. K. J., Klein, W. M. P., & Arora, N. K. (2011). Varieties of uncertainty in Health Care: A conceptual taxonomy. Medical Decision Making, 31(6), 828–838.
   PubMed Web of Science ®Google Scholar
• Helsingen, L. M., Refsum, E., Gjøstein, D. K., Løberg, M., Bretthauer, M., Kalager, M., Louise Emilsson for the Clinical Effectiveness Research group (2020). The COVID-19 pandemic in Norway and Sweden – threats, trust, and impact on daily life: A comparative survey. BMC Public Health, 20(1), 1597.
   PubMed Web of Science ®Google Scholar
• Hugosson, J., Godtman, R. A., Carlsson, S. V., Aus, G., Grenabo Bergdahl, A., Lodding, P., ..., Lilja, H. (2018). Eighteen-year follow-up of the Göteborg randomized population-based prostate cancer screening trial: Effect of sociodemographic variables on participation, prostate cancer incidence and mortality. Scandinavian Journal of Urology, 52(1), 27–37.
   PubMed Web of Science ®Google Scholar
• Huml kuendigt fuer Bayern Schwerpunktkampagne zu Herzinfarkt an [press release]. (2020). https://www.aerzteblatt.de/nachrichten/108480/Huml-kuendigt-fuer-Bayern-Schwerpunktkampagne-zu-Herzinfarkt-an: aerzteblatt2020
   Google Scholar
• Lammers, J., Crusius, J., & Gast, A. (2020). Correcting misperceptions of exponential coronavirus growth increases support for social distancing. Proceedings of the National Academy of Sciences, 117(28), 16264–16266.
   PubMed Web of Science ®Google Scholar
• Legate, N., & Weinstein, N. (2021). Can we communicate autonomy support and a mandate? How motivating messages relate to motivation for staying at home across time during the COVID-19 pandemic. Health Communication, 1–8.
   PubMed Web of Science ®Google Scholar
• Leventhal, H., Bodnar-Deren, S., Breland, J. Y., Hash-Converse, J., Phillips, L. A., Leventhal, E. A., Cameron, L. D. (2012). Modeling health and illness behavior: The approach of the commonsense model. In A. Baum, T. A. Revenson, & J. Singer (Eds.) Handbook of health psychology (2nd ed., pp. 3–35). New York, NY: Psychology Press.
   Google Scholar
• Lindell, M. K., & Perry, R. W. (2012). The protective action decision model: Theoretical modifications and additional evidence. Risk Analysis, 32(4), 616–632.
   PubMed Web of Science ®Google Scholar
• Marais K., Dulac N., Leveson N. (2004). Beyond normal accidents and high reliability organizations: The need for an alternative approach to safety in complex systems, ESD Symposium 2004.
   Google Scholar
• McGuire, D., Cunningham, J. E. A., Reynolds, K., & Matthews-Smith, G. (2020). Beating the virus: An examination of the crisis communication approach taken by New Zealand prime minister Jacinda Ardern during the covid-19 pandemic. Human Resource Development International, 23(4), 361–379.
   Web of Science ®Google Scholar
• Medendorp, N. M., Stiggelbout, A. M., Aalfs, C. M., Han, P. K. J., Smets, E. M. A., & Hillen, M. A. (2021). A scoping review of practice recommendations for clinicians’ communication of uncertainty. Health Expectations 24, 1025–1043.
   PubMed Web of Science ®Google Scholar
• Mækelæ, M. J., Reggev, N., Defelipe, R. P., Dutra, N., Tamayo, R. M., Klevjer, K., Pfuhl, G. (2021). Identifying resilience factors of distress and paranoia during the COVID-19 outbreak in five countries. Frontiers in Psychology, 12(661149).
   PubMedGoogle Scholar
• Mækelæ, M. J., Reggev, N., Dutra, N., Tamayo, R. M., Silva-Sobrinho, R. A., Klevjer, K., Pfuhl, G. (2020). Perceived efficacy of COVID-19 restrictions, reactions and their impact on mental health during the early phase of the outbreak in six countries. Royal Society Open Science, 7(8), 200644.
   PubMed Web of Science ®Google Scholar
• Moon, M. J. (2020). Fighting COVID-19 with agility, transparency, and participation: Wicked policy problems and New governance challenges. Public Administration Review, 80(4), 651–656.
   PubMed Web of Science ®Google Scholar
• Newman-Toker, D. E., Wang, Z., Zhu, Y., Nassery, N., Tehrani, A. S. S., Schaffer, A. C., et al. (2021). Rate of diagnostic errors and serious misdiagnosis-related harms for major vascular events, infections, and cancers: Toward a national incidence estimate using the “Big three”. Diagnosis, 8(1), 67–84.
   Web of Science ®Google Scholar
• NRK. (2020). Testet negativt flere ganger – døde. https://www.nrk.no/nyheter/testet-negativt-flere-ganger—dode-1.15012862: NRK; 2020. Retrieved from https://www.nrk.no/nyheter/testet-negativt-flere-ganger—dode-1.15012862
   Google Scholar
• Pearce, W. (2020). Trouble in the trough: How uncertainties were downplayed in the UK’s science advice on covid-19. Humanities and Social Sciences Communications, 7(1), 122.
   Google Scholar
• Piltch-Loeb, R., & Abramson, D. (2020). From information to intervention: Connecting risk communication to individual health behavior and community-level health interventions during the 2016 zika outbreak. Journal of Risk Research, 23(7-8), 978–993.
   Web of Science ®Google Scholar
• Porzsolt, F. (2016). Clinical economics – it is about values not about money. Brazilian Journal of Medicine and Human Health, 4(3), 2–7.
   Google Scholar
• Porzsolt, F., Polianski, I., Görgen, A., & Eisemann, M. (2011). Safety and security: The valences of values. Journal of Applied Security Research, 6(4), 483–490.
   Google Scholar
• Porzsolt, F., Thomaz, T. G., Constâncio, T. I., Silva-Júnior, A. G., & Nóbrega, A. C. (2013). The risks of information in health care: Do we need a new decision aid? Clinics (Sao Paulo), 68(9), 1177–1179.
   PubMed Web of Science ®Google Scholar
• Rafkin, C., Shreekumar, A., & Vautrey, P.-L. (2021). When guidance changes: Government stances and public beliefs. Journal of Public Economics, 196, 104319.
   Web of Science ®Google Scholar
• Ratcliff, C. L., Wong, B., Jensen, J. D., & Kaphingst, K. A. (2021). The impact of communicating uncertainty on public responses to precision Medicine research. Annals of Behavioral Medicine.
   PubMed Web of Science ®Google Scholar
• Rogers, R. W. (1975). A protection motivation theory of fear appeals and attitude change1. The Journal of Psychology, 91(1), 93–114.
   PubMed Web of Science ®Google Scholar
• Serafini, G., Parmigiani, B., Amerio, A., Aguglia, A., Sher, L., & Amore, M. (2020). The psychological impact of COVID-19 on the mental health in the general population. QJM: An International Journal of Medicine, 113(8), 531–537.
   PubMed Web of Science ®Google Scholar
• Sibley, C. G., Greaves, L. M., Satherley, N., Wilson, M. S., Overall, N. C., Lee, C. H. J., et al. (2020). Effects of the COVID-19 pandemic and nationwide lockdown on trust, attitudes toward government, and well-being. American Psychologist, 75(5), 618–630.
   PubMed Web of Science ®Google Scholar
• Stivers, T., & Timmermans, S. (2016). Negotiating the diagnostic uncertainty of genomic test results. Social Psychology Quarterly, 79(3), 199–221.
   Web of Science ®Google Scholar
• Todd, B. (2020). The U.S. COVID-19 testing failure. AJN The American Journal of Nursing, 120(10), 19–20.
   PubMed Web of Science ®Google Scholar
• Torales, J., O’Higgins, M., Castaldelli-Maia, J. M., & Ventriglio, A. (2020). The outbreak of COVID-19 coronavirus and its impact on global mental health. International Journal of Social Psychiatry, 66(4), 317–320.
   PubMed Web of Science ®Google Scholar
• Trevena, L. J., Zikmund-Fisher, B. J., Edwards, A., Gaissmaier, W., Galesic, M., Han, P. K. J., …, Woloshin, S. (2013). Presenting quantitative information about decision outcomes: A risk communication primer for patient decision aid developers. BMC Medical Informatics and Decision Making, 13(2), S7.
   PubMedGoogle Scholar
• van der Bles, A. M., van der Linden, S., Freeman, A. L. J., Mitchell, J., Galvao, A. B., Zaval, L., Spiegelhalter, D. J. (2019). Communicating uncertainty about facts, numbers and science. Royal Society Open Science, 6(5), 181870.
   PubMed Web of Science ®Google Scholar
• Varga, T. V., Bu, F., Dissing, A. S., Elsenburg, L. K., Bustamante, J. J. H., Matta, J., ..., Rod, N. H. (2021). Loneliness, worries, anxiety, and precautionary behaviours in response to the COVID-19 pandemic: A longitudinal analysis of 200,000 western and northern Europeans. The Lancet Regional Health – Europe, 2, 100020.
   PubMedGoogle Scholar
• Wang, K., Goldenberg, A., Dorison, C. A., Miller, J. K., Uusberg, A., Lerner, J. S., ..., Moshontz, H. (2021). A multi-country test of brief reappraisal interventions on emotions during the COVID-19 pandemic. Nature Human Behaviour, 5(8), 1089–1110.
   PubMed Web of Science ®Google Scholar
• WHO. (2020). Situation reports who.int: WHO. Retrieved from https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports
   Google Scholar
• Wood, F., Prior, L., & Gray, J. (2003). Translations of risk: Decision making in a cancer genetics service. Health, Risk & Society, 5(2), 185–198.
   Web of Science ®Google Scholar
• Zhong, L., Donovan, E. E., & Vangelisti, A. L. (2021). Examining the effectiveness of genetic counselors’ communication of variant of uncertain significance results of Breast cancer genes. Health Communication, 36(5), 606–615.
   PubMed Web of Science ®Google Scholar