Abstract
Background
Medical errors account for up to 440,000 deaths annually, and cognitive errors outpace knowledge deficits as causes of error. Cognitive biases are predispositions to respond in predictable ways, and they don’t always result in error. We conducted a scoping review exploring which biases are most prevalent in Internal Medicine (IM), if and how they influence patient outcomes, and what, if any, debiasing strategies are effective.
Content
We searched PubMed, OVID, ERIC, SCOPUS, PsychINFO, and CINAHL. Search terms included variations of “bias”, “clinical reasoning”, and IM subspecialties. Inclusion criteria were: discussing bias, clinical reasoning, and physician participants.
Summary
Fifteen of 334 identified papers were included. Two papers looked beyond general IM: one each in Infectious Diseases and Critical Care. Nine papers distinguished bias from error, whereas four referenced error in their definition of bias. The most commonly studied outcomes were diagnosis, treatment, and physician impact in 47 % (7), 33 % (5), and 27 % (4) of studies, respectively. Three studies directly assessed patient outcomes. The most commonly cited biases were availability bias (60 %, 9), confirmation bias (40 %, 6), anchoring (40 %, 6), and premature closure (33 %, 5). Proposed contributing features were years of practice, stressors, and practice setting. One study found that years of practice negatively correlated with susceptibility to bias. Ten studies discussed debiasing; all reported weak or equivocal efficacy.
Outlook
We found 41 biases in IM and 22 features that may predispose physicians to bias. We found little evidence directly linking biases to error, which could account for the weak evidence of bias countermeasure efficacy. Future study clearly delineating bias from error and directly assessing clinical outcomes would be insightful.
Acknowledgments
We would like to thank Candace Norton for her assistance in designing and executing our literature search.
-
Research funding: None declared.
-
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
-
Competing interests: Authors state no conflict of interest.
-
Informed consent: Not applicable.
-
Ethical approval: Not applicable.
References
1. Institute of Medicine Committee on Quality of Health Care in A. To err is human: building a safer health system. In: Kohn, LT, Corrigan, JM, Donaldson, MS, editors To Err is human: building a safer health system. Washington (DC): National Academies Press (US) Copyright 2000 by the National Academy of Sciences; 2000.Suche in Google Scholar
2. James, JT. A new, evidence-based estimate of patient harms associated with hospital care. J Patient Saf 2013;9:122–8. https://doi.org/10.1097/pts.0b013e3182948a69.Suche in Google Scholar PubMed
3. Levinson, D. Adverse events in hospitals: national incidence among medicare beneficiaries. In: Inspections OoEa. Washington: US Department of Health and Human Services; 2010.Suche in Google Scholar
4. Graber, ML, Franklin, N, Gordon, R. Diagnostic error in internal medicine. Arch Intern Med 2005;165:1493–9. https://doi.org/10.1001/archinte.165.13.1493.Suche in Google Scholar PubMed
5. Arnott, D. Cognitive biases and decision support systems development: a design science approach. Inf Syst J 2006;16:55–78. https://doi.org/10.1111/j.1365-2575.2006.00208.x.Suche in Google Scholar
6. McBee, E, Ratcliffe, T, Picho, K, Schuwirth, L, Artino, ARJr., Yepes-Rios, AM, et al.. Contextual factors and clinical reasoning: differences in diagnostic and therapeutic reasoning in board certified versus resident physicians. BMC Med Educ 2017;17:211. https://doi.org/10.1186/s12909-017-1041-x.Suche in Google Scholar PubMed PubMed Central
7. Tversky, A, Kahneman, D. Judgment under uncertainty: heuristics and biases. Science 1974;185:1124–31. https://doi.org/10.1126/science.185.4157.1124.Suche in Google Scholar PubMed
8. Croskerry, P. Clinical cognition and diagnostic error: applications of a dual process model of reasoning. Adv Health Sci Educ Theory Pract 2009;14:27–35. https://doi.org/10.1007/s10459-009-9182-2.Suche in Google Scholar PubMed
9. Croskerry, P. A universal model of diagnostic reasoning. Acad Med 2009;84:1022–8. https://doi.org/10.1097/acm.0b013e3181ace703.Suche in Google Scholar PubMed
10. Kahneman, D. A perspective on judgment and choice: mapping bounded rationality. Am Psychol 2003;58:697–720. https://doi.org/10.1037/0003-066x.58.9.697.Suche in Google Scholar PubMed
11. Evans, JS. Dual-processing accounts of reasoning, judgment, and social cognition. Annu Rev Psychol 2008;59:255–78. https://doi.org/10.1146/annurev.psych.59.103006.093629.Suche in Google Scholar PubMed
12. Evans, JSBT, Curtis-Holmes, J. Rapid responding increases belief bias: evidence for the dual-process theory of reasoning. Think Reas 2005;11:382–9. https://doi.org/10.1080/13546780542000005.Suche in Google Scholar
13. Kahneman, D, Frederick, S. A model of heuristic judgment. the Cambridge handbook of thinking and reasoning. New York, NY, US: Cambridge University Press; 2005. 267–93.Suche in Google Scholar
14. Elstein, AS. Thinking about diagnostic thinking: a 30-year perspective. Adv Health Sci Educ Theory Pract 2009;14:7–18. https://doi.org/10.1007/s10459-009-9184-0.Suche in Google Scholar PubMed
15. Ogdie, AR, Reilly, JB, Pang, WG, Keddem, S, Barg, FK, Von Feldt, JM, et al.. Seen through their eyes: residents’ reflections on the cognitive and contextual components of diagnostic errors in medicine. Acad Med 2012;87:1361–7. https://doi.org/10.1097/acm.0b013e31826742c9.Suche in Google Scholar PubMed PubMed Central
16. Croskerry, P, Singhal, G, Mamede, S. Cognitive debiasing 2: impediments to and strategies for change. BMJ Qual Saf. 2013;22(Suppl 2):ii65–72, https://doi.org/10.1136/bmjqs-2012-001713.Suche in Google Scholar PubMed PubMed Central
17. Featherston, R, Downie, LE, Vogel, AP, Galvin, KL. Decision making biases in the allied health professions: a systematic scoping review. PLoS One 2020;15:e0240716. https://doi.org/10.1371/journal.pone.0240716.Suche in Google Scholar PubMed PubMed Central
18. Evans, SB, Cain, D, Kapur, A, Brown, D, Pawlicki, T. Why smart Oncology clinicians do dumb things: a review of cognitive bias in radiation oncology. Pract Radiat Oncol 2019;9:e347–55. https://doi.org/10.1016/j.prro.2019.03.001.Suche in Google Scholar PubMed
19. Gottschalk, CH. Cognitive biases & errors in headache medicine. Headache 2019;59:1863–70. https://doi.org/10.1111/head.13686.Suche in Google Scholar PubMed
20. Mamede, S, van Gog, T, van den Berge, K, Rikers, RM, van Saase, JL, van Guldener, C, et al.. Effect of availability bias and reflective reasoning on diagnostic accuracy among internal medicine residents. J Am Med Assoc 2010;304:1198–203. https://doi.org/10.1001/jama.2010.1276.Suche in Google Scholar PubMed
21. Berner, ES, Graber, ML. Overconfidence as a cause of diagnostic error in medicine. Am J Med 2008;121:S2–23. https://doi.org/10.1016/j.amjmed.2008.01.001.Suche in Google Scholar PubMed
22. Borges, NJ, Savickas, ML. Personality and medical specialty choice: a literature review and integration. J Career Assess 2002;10:362–80. https://doi.org/10.1177/10672702010003006.Suche in Google Scholar
23. Arksey, H, O’Malley, L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol 2005;8:19–32. https://doi.org/10.1080/1364557032000119616.Suche in Google Scholar
24. Levac, D, Colquhoun, H, O’Brien, KK. Scoping studies: advancing the methodology. Implement Sci 2010;5:69. https://doi.org/10.1186/1748-5908-5-69.Suche in Google Scholar PubMed PubMed Central
25. Tricco, AC, Lillie, E, Zarin, W, O’Brien, KK, Colquhoun, H, Levac, D, et al.. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med 2018;169:467–73. https://doi.org/10.7326/m18-0850.Suche in Google Scholar
26. Kirkpatrick DLaK, JD. Evaluating training programs: the four levels, 3rd ed. San Francisco, CA: Berrett-Koehler Publishers, Inc; 2006.Suche in Google Scholar
27. Popay, J, Roberts, H, Sowden, A, Petticrew, M, Arai, L, Rodgers, M, et al.. Guidance on the conduct of narrative synthesis in systematic reviews: a product from the ESRC Methods Programme. J Epidemiol Community Health 2006;1(1 Suppl):A7.Suche in Google Scholar
28. Deliz, JR, Fears, FF, Jones, KE, Tobat, J, Char, D, Ross, WR. Cultural competency interventions during medical school: a scoping review and narrative synthesis. J Gen Intern Med 2020;35:568–77. https://doi.org/10.1007/s11606-019-05417-5.Suche in Google Scholar PubMed PubMed Central
29. Coughlan, JJ, Mullins, CF, Kiernan, TJ. Diagnosing, fast and slow. Postgrad Med 2021;97:103–9. https://doi.org/10.1136/postgradmedj-2019-137412.Suche in Google Scholar PubMed
30. Iyer, S, Goss, E, Browder, C, Paccione, G, Arnsten, J. Development and evaluation of a clinical reasoning curriculum as part of an internal medicine residency program. Diagnosis (Berl) 2019;6:115–9. https://doi.org/10.1515/dx-2018-0093.Suche in Google Scholar PubMed
31. Vick, A, Estrada, CA, Rodriguez, JM. Clinical reasoning for the infectious disease specialist: a primer to recognize cognitive biases. Clin Infect Dis 2013;57:573–8. https://doi.org/10.1093/cid/cit248.Suche in Google Scholar PubMed
32. Wilhite, JA, Hardowar, K, Fisher, H, Porter, B, Wallach, AB, Altshuler, L, et al.. Clinical problem solving and social determinants of health: a descriptive study using unannounced standardized patients to directly observe how resident physicians respond to social determinants of health. Diagnosis (Berl) 2020;7:313–24. https://doi.org/10.1515/dx-2020-0125.Suche in Google Scholar PubMed
33. Arzy, S, Brezis, M, Khoury, S, Simon, SR, Ben-Hur, T. Misleading one detail: a preventable mode of diagnostic error? J Eval Clin Pract 2009;15:804–6. https://doi.org/10.1111/j.1365-2753.2008.01098.x.Suche in Google Scholar PubMed
34. Nendaz, M, Perrier, A. Diagnostic errors and flaws in clinical reasoning: mechanisms and prevention in practice. Swiss Med Wkly 2012;142:w13706. https://doi.org/10.4414/smw.2012.13706.Suche in Google Scholar PubMed
35. van den Berge, K, Mamede, S. Cognitive diagnostic error in internal medicine. Eur J Intern Med 2013;24:525–9. https://doi.org/10.1016/j.ejim.2013.03.006.Suche in Google Scholar PubMed
36. Freshwater-Turner, DA, Boots, RJ, Bowman, RN, Healy, HG, Klestov, AC. Difficult decisions in the intensive care unit: an illustrative case. Anaesth Intensive Care 2007;35:748–59. https://doi.org/10.1177/0310057x0703500515.Suche in Google Scholar
37. Mamede, S, de Carvalho-Filho, MA, de Faria, RMD, Franci, D, Nunes, M, Ribeiro, LMC, et al.. Immunising’ physicians against availability bias in diagnostic reasoning: a randomised controlled experiment. BMJ Qual Saf 2020;29:550–9. https://doi.org/10.1136/bmjqs-2019-010079.Suche in Google Scholar PubMed PubMed Central
38. Mamede, S, van Gog, T, van den Berge, K, van Saase, JL, Schmidt, HG. Why do doctors make mistakes? A study of the role of salient distracting clinical features. Acad Med 2014;89:114–20. https://doi.org/10.1097/acm.0000000000000077.Suche in Google Scholar
39. Staal, J, Alsma, J, Mamede, S, Olson, APJ, Prins-van Gilst, G, Geerlings, SE, et al.. The relationship between time to diagnose and diagnostic accuracy among internal medicine residents: a randomized experiment. BMC Med Educ 2021;21:227. https://doi.org/10.1186/s12909-021-02671-2.Suche in Google Scholar PubMed PubMed Central
40. Aberegg, SK, Haponik, EF, Terry, PB. Omission bias and decision making in pulmonary and critical care medicine. Chest 2005;128:1497–505. https://doi.org/10.1378/chest.128.3.1497.Suche in Google Scholar PubMed
41. Zwaan, L, Thijs, A, Wagner, C, Timmermans, DR. Does inappropriate selectivity in information use relate to diagnostic errors and patient harm? The diagnosis of patients with dyspnea. Soc Sci Med 2013;91:32–8. https://doi.org/10.1016/j.socscimed.2013.05.001.Suche in Google Scholar PubMed
42. Croskerry, P. Commentary: lowly interns, more is merrier, and the Casablanca Strategy. Acad Med 2011;86:8–10. https://doi.org/10.1097/acm.0b013e318200281a.Suche in Google Scholar PubMed
43. Croskerry, P. From mindless to mindful practice--cognitive bias and clinical decision making. N Engl J Med 2013;368:2445–8. https://doi.org/10.1056/nejmp1303712.Suche in Google Scholar PubMed
44. Gruppen, LD, Woolliscroft, JO, Wolf, FM. The contribution of different components of the clinical encounter in generating and eliminating diagnostic hypotheses. Res Med Educ 1988;27:242–7.Suche in Google Scholar
45. Lambe, KA, O’Reilly, G, Kelly, BD, Curristan, S. Dual-process cognitive interventions to enhance diagnostic reasoning: a systematic review. BMJ Qual Saf 2016;25:808–20. https://doi.org/10.1136/bmjqs-2015-004417.Suche in Google Scholar PubMed
46. Norman, GR, Monteiro, SD, Sherbino, J, Ilgen, JS, Schmidt, HG, Mamede, S. The causes of errors in clinical reasoning: cognitive biases, knowledge deficits, and dual process thinking. Acad Med 2017;92:23–30. https://doi.org/10.1097/acm.0000000000001421.Suche in Google Scholar
47. Griffith, PB, Doherty, C, Smeltzer, SC, Mariani, B. Education initiatives in cognitive debiasing to improve diagnostic accuracy in student providers: a scoping review. J Am Assoc Nurse Pract 2020;33:862–71. https://doi.org/10.1097/jxx.0000000000000479.Suche in Google Scholar
48. Ludolph, R, Schulz, PJ. Debiasing health-related judgments and decision making: a systematic review. Med Decis Making 2018;38:3–13. https://doi.org/10.1177/0272989x17716672.Suche in Google Scholar
49. Thammasitboon, S, Cutrer, WB. Diagnostic decision-making and strategies to improve diagnosis. Curr Probl Pediatr Adolesc Health Care 2013;43:232–41. https://doi.org/10.1016/j.cppeds.2013.07.003.Suche in Google Scholar PubMed
50. Pinnock, R, Ritchie, D, Gallagher, S, Henning, MA, Webster, CS. The efficacy of mindful practice in improving diagnosis in healthcare: a systematic review and evidence synthesis. Adv Health Sci Educ Theory Pract 2021;26:785–809. https://doi.org/10.1007/s10459-020-10022-x.Suche in Google Scholar PubMed
51. Horton, K. Aid and bias. Inq Interdiscip J Philos 2004;47:545–61. https://doi.org/10.1080/00201740410004287.Suche in Google Scholar
52. Royce, CS, Hayes, MM, Schwartzstein, RM. Teaching critical thinking: a case for instruction in cognitive biases to reduce diagnostic errors and improve patient safety. Acad Med 2019;94:187–94. https://doi.org/10.1097/acm.0000000000002518.Suche in Google Scholar
53. Umscheid, CA, Williams, K, Brennan, PJ. Hospital-based comparative effectiveness centers: translating research into practice to improve the quality, safety and value of patient care. J Gen Intern Med 2010;25:1352–5. https://doi.org/10.1007/s11606-010-1476-9.Suche in Google Scholar PubMed PubMed Central
54. Graber, ML, Trowbridge, R, Myers, JS, Umscheid, CA, Strull, W, Kanter, MH. The next organizational challenge: finding and addressing diagnostic error. Joint Comm J Qual Patient Saf 2014;40:102–10. https://doi.org/10.1016/s1553-7250(14)40013-8.Suche in Google Scholar PubMed
Supplementary Material
This article contains supplementary material (https://doi.org/10.1515/dx-2022-0120).
© 2023 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Review
- Cognitive biases in internal medicine: a scoping review
- Opinion Papers
- “Pivot and Cluster Strategy” in the light of Kahneman’s “Decision Hygiene” template
- Developing a European longitudinal and interprofessional curriculum for clinical reasoning
- Optimizing measurement of misdiagnosis-related harms using symptom-disease pair analysis of diagnostic error (SPADE): comparison groups to maximize SPADE validity
- Reframing context specificity in team diagnosis using the theory of distributed cognition
- Original Articles
- Promoting clinical reasoning with meta-memory techniques to teach broad differential diagnosis generation in a pediatric core clerkship
- Semantic competence and prototypical verbalizations are associated with higher OSCE and global medical degree scores: a multi-theory pilot study on year 6 medical student verbalizations
- Influence of comorbid depression and diagnostic workup on diagnosis of physical illness: a randomized experiment
- Recognition, diagnostic practices, and cancer outcomes among patients with unintentional weight loss (UWL) in primary care
- Quantitation of neurofilament light chain protein in serum and cerebrospinal fluid from patients with multiple sclerosis using the MSD R-PLEX NfL assay
- Analysis of common biomarkers in capillary blood in routine clinical laboratory. Preanalytical and analytical comparison with venous blood
- Comparison between cerebrospinal fluid biomarkers for differential diagnosis of acute meningitis
- Short Communications
- Exploring relationships between physician stress, burnout, and diagnostic elements in clinician notes
- Development of a student-created internal medicine frameworks website for healthcare trainees
- Case Report - Lessons in Clinical Reasoning
- Lessons in clinical reasoning – pitfalls, myths, and pearls: a case of crushing, substernal chest pain
- Letters to the Editor
- Ample room for cognitive bias in diagnosing accidental hypothermia
- Auscultation order of lung and heart sounds and autonomous noise cancellation
- Reliability of a single-nostril nasopharyngeal swab for diagnosing SARS-CoV-2 infection
Artikel in diesem Heft
- Frontmatter
- Review
- Cognitive biases in internal medicine: a scoping review
- Opinion Papers
- “Pivot and Cluster Strategy” in the light of Kahneman’s “Decision Hygiene” template
- Developing a European longitudinal and interprofessional curriculum for clinical reasoning
- Optimizing measurement of misdiagnosis-related harms using symptom-disease pair analysis of diagnostic error (SPADE): comparison groups to maximize SPADE validity
- Reframing context specificity in team diagnosis using the theory of distributed cognition
- Original Articles
- Promoting clinical reasoning with meta-memory techniques to teach broad differential diagnosis generation in a pediatric core clerkship
- Semantic competence and prototypical verbalizations are associated with higher OSCE and global medical degree scores: a multi-theory pilot study on year 6 medical student verbalizations
- Influence of comorbid depression and diagnostic workup on diagnosis of physical illness: a randomized experiment
- Recognition, diagnostic practices, and cancer outcomes among patients with unintentional weight loss (UWL) in primary care
- Quantitation of neurofilament light chain protein in serum and cerebrospinal fluid from patients with multiple sclerosis using the MSD R-PLEX NfL assay
- Analysis of common biomarkers in capillary blood in routine clinical laboratory. Preanalytical and analytical comparison with venous blood
- Comparison between cerebrospinal fluid biomarkers for differential diagnosis of acute meningitis
- Short Communications
- Exploring relationships between physician stress, burnout, and diagnostic elements in clinician notes
- Development of a student-created internal medicine frameworks website for healthcare trainees
- Case Report - Lessons in Clinical Reasoning
- Lessons in clinical reasoning – pitfalls, myths, and pearls: a case of crushing, substernal chest pain
- Letters to the Editor
- Ample room for cognitive bias in diagnosing accidental hypothermia
- Auscultation order of lung and heart sounds and autonomous noise cancellation
- Reliability of a single-nostril nasopharyngeal swab for diagnosing SARS-CoV-2 infection