Cognitive biases in otolaryngology: a systematic narrative review
DOI:
https://doi.org/10.18203/issn.2454-5929.ijohns20253002Keywords:
Cognitive bias, Clinical decision making, Diagnostic errors, Otolaryngology, Operative surgical proceduresAbstract
Cognitive biases are systematic errors in thinking that significantly impact decision-making in surgery, including Otolaryngology. These biases contribute to misdiagnoses, inappropriate treatments and surgical errors, affecting patient outcomes. Despite growing recognition of cognitive biases in medicine, awareness and structured training in cognitive debiasing strategies remain limited. This narrative review systematically examines cognitive biases affecting surgical decision-making in Otolaryngology, categorizes their occurrence in different phases of surgical care and discusses mitigation strategies. A comprehensive literature search was conducted using multiple databases, including MEDLINE, Embase and Scopus, focusing on cognitive biases in surgical fields, particularly Otolaryngology. Studies that explored bias-related diagnostic errors, treatment decisions and mitigation strategies were included. Cognitive biases were classified based on their impact on the diagnostic workup, treatment phase and post-treatment follow-up. A total of 71 cognitive biases were identified as relevant to Otolaryngology. These biases were categorized according to their definitions, sources, examples in Otolaryngology and mitigation strategies. Targeted mitigation strategies, including structured decision-support tools, cognitive forcing strategies and multidisciplinary case discussions, were highlighted. Cognitive biases play a critical role in surgical decision-making in Otolaryngology, often leading to diagnostic and treatment errors. Increased awareness and implementation of cognitive debiasing strategies are essential to improving clinical reasoning and patient outcomes. Future research should focus on the effectiveness of structured interventions and the role of artificial intelligence in mitigating cognitive biases in surgery.
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References
Saposnik G, Redelmeier, Ruff CC, Tobler PN. Cognitive biases associated with medical decisions: a systematic review. BMC Med Inform Decis Mak. 2016;16:138-60. DOI: https://doi.org/10.1186/s12911-016-0377-1
Dawson N, Arkes HR. Systematic errors in medical decision making. J Gen Intern Med. 1987;2:183–7. DOI: https://doi.org/10.1007/BF02596149
Dawson N. Physician judgment in clinical settings: methodological influences and cognitive performance. Clin Chem. 1993;39:1468–80. DOI: https://doi.org/10.1093/clinchem/39.7.1468
Elstein AS. Heuristics and biases. Acad Med. 1999;74:791–4. DOI: https://doi.org/10.1097/00001888-199907000-00012
Patel VL, Kaufman DR, Arocha JF. Emerging paradigms of cognition in medical decision-making. J Biomed Inform. 2002;35:52–75. DOI: https://doi.org/10.1016/S1532-0464(02)00009-6
Thiels CA, Lal TM, Nienow JM, Pasupathy KS, Blocker RC, Aho JM, et al. Surgical never events and contributing human factors. Surgery. 2015;158:515–21. DOI: https://doi.org/10.1016/j.surg.2015.03.053
Gigerenzer G, Gaissmaier W. "Heuristic Decision Making". Ann Rev Psychol. 2011;62:451–82. DOI: https://doi.org/10.1146/annurev-psych-120709-145346
O’Sullivan E, Schofield S. Cognitive bias in clinical medicine. J R Coll Physicians Edinb. 2018;48:225–32. DOI: https://doi.org/10.4997/jrcpe.2018.306
Croskerry P. From mindless to mindful practice-cognitive bias and clinical decision making. N Engl J Med. 2013;368:2445–8. DOI: https://doi.org/10.1056/NEJMp1303712
Balogh EP, Miller BT, Ball JR, eds. Improving Diagnosis in Health Care. Washington, DC: National Academies Press. 2015. DOI: https://doi.org/10.17226/21794
WHO. Diagnostic Errors: Technical Series on Safer Primary Care. Geneva, Switzerland. 2016.
Institute of Medicine (US) Committee on Quality of Health Care in America. Linda T. Kohn, Janet M. Corrigan, Molla S. Donaldson, editors. To err is human: Building a safer health system. Washington (DC): National Academies Press (US). 2000.
Banerjee A. Coaching classes… competency-based curriculum… bed of procrustes… deck chairs on the titanic. Medical Journal of Dr. DY Patil Vidyapeeth. 2020;13(1):1-2. DOI: https://doi.org/10.4103/mjdrdypu.mjdrdypu_292_19
Tversky A, Kahneman. Judgement under un certainty: heuristics and biases. Science. 1974;185:1124-31. DOI: https://doi.org/10.1126/science.185.4157.1124
Lakoff G, Johnson M. Philosophy in the Flesh: the embodied mind and its challenge to western thought. New York: Basic Books. 1999.
Evans JSBT, Curtis-Holmes J. Rapid responding increases belief bias: evidence for the dual-process theory of reasoning. Think Reason. 2005;11:382-9. DOI: https://doi.org/10.1080/13546780542000005
Evans JSBT. Dual-processing accounts of reasoning judgement and social cognition. Ann Rev Psychol. 2008;59:255-78. DOI: https://doi.org/10.1146/annurev.psych.59.103006.093629
Antonacci AC, Dechario SP, Antonacci C, Husk G, Patel V, Nicastro J, et al. Cognitive bias impact on management of postoperative complications, medical error and standard of care. J Surg Res. 2021;258:47-53. DOI: https://doi.org/10.1016/j.jss.2020.08.040
Armstrong BA, Dutescu IA, Tung A, Carter DN, Trbovich PL, Wong S, et al. Cognitive biases in surgery: systematic review. Br J Surg. 2023;110(6):645-54. DOI: https://doi.org/10.1093/bjs/znad004
Hughes TM, Dossett LA, Hawley ST, Telem DA. Recognizing heuristics and bias in clinical decision-making. Ann Surg. 2020;271(5):813-4. DOI: https://doi.org/10.1097/SLA.0000000000003699
Shah RK, Kentala E, Healy GB, Roberson DW. Classification and consequences of errors in otolaryngology. Laryngoscope. 2004;114(8):1322-35. DOI: https://doi.org/10.1097/00005537-200408000-00003
Balakrishnan K, Arjmand EM. The impact of cognitive and implicit bias on patient safety and quality. Otolaryngol Clin North Am. 2019;52(1):35-46. DOI: https://doi.org/10.1016/j.otc.2018.08.016
Croskerry P, Singhal G, Mamede S. Cognitive debiasing 1: origins of bias and theory of debiasing. BMJ Qual Saf. 2013;22(2):58–64. DOI: https://doi.org/10.1136/bmjqs-2012-001712
Zestcott CA, Blair IV, Stone J. Examining the presence, consequences and reduction of implicit bias in health care: a narrative review. Group Process Intergroup Relat. 2016;19:528–42. DOI: https://doi.org/10.1177/1368430216642029
Croskerry P, Singhal G, Mamede S. Cognitive debiasing 2: impediments to and strategies for change. BMJ Qual Saf. 2013;22(2):65–72. DOI: https://doi.org/10.1136/bmjqs-2012-001713
Croskerry P. Cognitive forcing strategies in clinical decision making. Ann Emerg Med. 2003;41:110–20. DOI: https://doi.org/10.1067/mem.2003.22
Oliver G, Oliver G, Body R. BET 2: poor evidence on whether teaching cognitive debiasing or cognitive forcing strategies, lead to a reduction in errors attributable to cognition in emergency medicine students or doctors. Emerg Med J. 2017;34:553–4. DOI: https://doi.org/10.1136/emermed-2017-206976.2
Hisam B, Zogg CK, Chaudhary MA. From understanding to action: interventions for surgical disparities. J Surg Res. 2016;200:560–78. DOI: https://doi.org/10.1016/j.jss.2015.09.016
Berger Loic, Bleichrodt H, Eeckhoudt L. Treatment decisions under ambiguity. J Health Econ. 2013;32(3):559-69. DOI: https://doi.org/10.1016/j.jhealeco.2013.02.001
Howard J. Bandwagon effect and authority bias. InCognitive errors and diagnostic mistakes: A case-based guide to critical thinking in medicine: Springer International Publishing. 2018: 21-56. DOI: https://doi.org/10.1007/978-3-319-93224-8_3
Sheffield E. Belief Bias. InDecision Making in Emergency Medicine: Biases, Errors and Solutions. Singapore: Springer Singapore. 2021: 65-70. DOI: https://doi.org/10.1007/978-981-16-0143-9_11
Howard J. Blind Spot Bias. In: Cognitive Errors and Diagnostic Mistakes. Springer, Cham. 2019:56-76. DOI: https://doi.org/10.1007/978-3-319-93224-8
Luckhoff C. Congruence bias. InDecision Making in Emergency Medicine: Biases, Errors and Solutions. Singapore: Springer Singapore. 2021: 89-96. DOI: https://doi.org/10.1007/978-981-16-0143-9_15
Yeates P, Moreau M, Eva K. Are examiners’ judgements in OSCE-style assessments influenced by contrast effects. Acad Med. 2015;90(7):975-80. DOI: https://doi.org/10.1097/ACM.0000000000000650
Chen Q, Xu Duo, Fu H, Yip W. Distance effects and home bias in patient choice on the Internet: evidence from an online healthcare platform in China. China Economic Review. 2022;72:101757. DOI: https://doi.org/10.1016/j.chieco.2022.101757
Etzioni DA, Fowl RJ, Wasif N, Donohue JH, Cima RR. Distance bias and surgical outcomes. Med Care. 2013;51(3):238-44. DOI: https://doi.org/10.1097/MLR.0b013e318270bbfa
Pafitanis G, Nikkhah D, Myers S. The Dunning-Kruger effect: revisiting “the valley of despair” in the evolution of competency and proficiency in reconstructive microsurgery. J Plast Reconstr Aesthet Surg. 2020;73(4):783-808. DOI: https://doi.org/10.1016/j.bjps.2019.11.062
Sri-Ganeshan M. Ego Bias. InDecision Making in Emergency Medicine: Biases, Errors and Solutions. Singapore: Springer Singapore. 2021: 129-134. DOI: https://doi.org/10.1007/978-981-16-0143-9_21
Sheffield E. Expectation bias. InDecision Making in Emergency Medicine: Biases, Errors and Solutions Singapore: Springer Singapore. 2021: 135-139. DOI: https://doi.org/10.1007/978-981-16-0143-9_22
Croskerry P. The feedback sanction. Acad Emerg Med. 2000;7(11):1232-8. DOI: https://doi.org/10.1111/j.1553-2712.2000.tb00468.x
Kosmidis M. Fundamental Attribution Error. In: Raz, M., Pouryahya, P. (eds) Decision Making in Emergency Medicine. Springer, Singapore. 2021: 43-72. DOI: https://doi.org/10.1007/978-981-16-0143-9_25
Lim WH, Wong C, Jain SR, Ng CH, Tai CH, Devi MK, et al. The unspoken reality of gender bias in surgery: A qualitative systematic review. PLoS ONE. 2021;16(2):246420. DOI: https://doi.org/10.1371/journal.pone.0246420
Berkhout C, Berba O, Favre J, Collins C, Calafiore M, Peremans L, et al. Defining and evaluating the Hawthorne effect in primary care, a systematic review and meta-analysis. Front Med (Lausanne). 2022;9:1033486. DOI: https://doi.org/10.3389/fmed.2022.1033486
Bowles F. Illusory Correlation. In: Raz, M., Pouryahya, P. (eds) Decision Making in Emergency Medicine. Springer, Singapore. 2021:30. DOI: https://doi.org/10.1007/978-981-16-0143-9_30
Bytzer P. Information bias in endoscopic assessment. Am J Gastroenterol. 2007;102(8):1585-7. DOI: https://doi.org/10.1111/j.1572-0241.2006.00911.x
Roswarski TE, Murray MD. Supervision of students may protect academic physicians from cognitive bias: a study of decision making and multiple treatment alternatives in medicine. Med Decis Making. 2006;26(2):154-61. DOI: https://doi.org/10.1177/0272989X06286483
Wills P. Mere Exposure Effect. In: Raz, M., Pouryahya, P. (eds) Decision Making in Emergency Medicine. Springer, Singapore. 2021:10:33. DOI: https://doi.org/10.1007/978-981-16-0143-9_33
Rubin M, Paolini S, Crisp RJ. The relationship between the need for closure and deviant bias: an investigation of generality and process. Int J Psychol. 2011;46(3):206-13. DOI: https://doi.org/10.1080/00207594.2010.537660
Sam KM. Playing the Odds Bias. In: Raz, M., Pouryahya, P. (eds) Decision Making in Emergency Medicine. Springer, Singapore. 2021:978-981. DOI: https://doi.org/10.1007/978-981-16-0143-9_44
Shander A, Gross I. Rashomon effect and the contradiction of data, practice and regulations. Anesth Analg. 2018;127(2):325-8. DOI: https://doi.org/10.1213/ANE.0000000000002697
Biggs N. Reactance Bias. In: Raz M, Pouryahya P. (eds) Decision Making in Emergency Medicine. Springer, Singapore. 2021:47-48 DOI: https://doi.org/10.1007/978-981-16-0143-9_48
Kulkarni SS, Dewitt B, Fischhoff B, Rosengart MR, Angus DC, Saul M, et al. Defining the representativeness heuristic in trauma triage: A retrospective observational cohort study. PLoS ONE. 2019;14(2):212201. DOI: https://doi.org/10.1371/journal.pone.0212201
Huang K, Bernhard RM, Barak-Corren N, Bazerman MH, Greene JD. Veil-of-ignorance reasoning mitigates self-serving bias in resource allocation during the COVID-19 crisis. Judgment and Decision Making. 2021;16(1):1–19. DOI: https://doi.org/10.1017/S1930297500008275
Gupta VK, Saini C, Oberoi M, Kalra G, Nasir MI. Semmelweis reflex: an age-old prejudice. World Neurosurg. 2020;136:119-25. DOI: https://doi.org/10.1016/j.wneu.2019.12.012
Pouryahya P. Zebra Retreat. In: Raz, M., Pouryahya, P. (eds) Decision Making in Emergency Medicine. Springer, Singapore. 2021:57-61. DOI: https://doi.org/10.1007/978-981-16-0143-9_61
Machens A, Hauptmann S, Dralle H. Referral bias in thyroid cancer surgery: direction and magnitude. Eur J Surg Oncol. 2008;34(5):556-62. DOI: https://doi.org/10.1016/j.ejso.2007.07.006