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Context matters: toward a multilevel perspective on context in clinical reasoning and error

  • Justin J. Choi EMAIL logo and Steven J. Durning
Published/Copyright: December 9, 2022

Abstract

Context in diagnosis and management of patients is a vexing phenomenon in medicine and health professions education that can lead to unwanted variation in clinical reasoning performance and even errors that cause patient harm. Studies have examined individual-, team-, and system-level contextual factors, but the ways in which multiple contextual factors can interact, how both distracting and enabling factors can impact performance and error, and the boundaries between context and content information are not well understood. In this paper, we use a theory-based approach to enhance our understanding of context. We introduce a multilevel perspective on context that extends prior models of clinical reasoning and propose a micro-meso-macro framework to provide a more integrated understanding of how clinical reasoning is both influenced by and emerges from multiple contextual factors. The multilevel approach can also be used to study other social phenomena in medicine such as professionalism, learning, burnout, and implicit bias. We call for a new paradigm in clinical reasoning research and education that uses multilevel theory and analysis to enhance clinical reasoning performance expertise and improve the quality of patient care.


Corresponding author: Justin J. Choi, MD, Department of Medicine, Weill Cornell Medicine, 420 East 70th Street, LH-355, New York, NY 10021, USA, Phone: 646-962-5897, Fax: 212-746-4734, E-mail:

  1. Research funding: None declared.

  2. Author contributions: All authors have accepted respon-sibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest. The views expressed herein are those of the authors and not necessarily those of the Department of Defense or other federal agencies.

  4. Informed consent: Not applicable.

  5. Ethical approval: Not applicable.

References

1. Balogh, EP, Miller, BT, Ball, JR, editors. Committee on diagnostic error in health care, board on health care services, institute of medicine, the national academies of sciences, engineering, and medicine. Improving diagnosis in health care. Washington (DC): National Academies Press (US); 2015.10.17226/21794Search in Google Scholar PubMed

2. Newman-Toker, DE, Wang, Z, Zhu, Y, Nassery, N, Saber Tehrani, AS, Schaffer, AC, et al.. 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 2021;8:67–84. https://doi.org/10.1515/dx-2019-0104.Search in Google Scholar PubMed

3. Hogan, H, Healey, F, Neale, G, Thomson, R, Vincent, C, Black, N. Preventable deaths due to problems in care in English acute hospitals: a retrospective case record review study. BMJ Qual Saf 2012;21:737–45. https://doi.org/10.1136/bmjqs-2011-001159.Search in Google Scholar PubMed PubMed Central

4. Watari, T, Tokuda, Y, Mitsuhashi, S, Otuki, K, Kono, K, Nagai, N, et al.. Factors and impact of physicians’ diagnostic errors in malpractice claims in Japan. PLoS One 2020;15:e0237145. https://doi.org/10.1371/journal.pone.0237145.Search in Google Scholar PubMed PubMed Central

5. Leitch, S, Dovey, S, Cunningham, W, Wallis, K, Eggleton, K, Lillis, S, et al.. Epidemiology of healthcare harm in New Zealand general practice: a retrospective records review study. BMJ Open 2021;11:e048316. https://doi.org/10.1136/bmjopen-2020-048316.Search in Google Scholar PubMed PubMed Central

6. Croskerry, P. A universal model of diagnostic reasoning. Acad Med 2009;84:1022–8. https://doi.org/10.1097/acm.0b013e3181ace703.Search in Google Scholar PubMed

7. Graber, ML, Rusz, D, Jones, ML, Farm-Franks, D, Jones, B, Cyr Gluck, J, et al.. The new diagnostic team. Diagnosis 2017;4:225–38. https://doi.org/10.1515/dx-2017-0022.Search in Google Scholar PubMed

8. Gleason, KT, Jones, R, Rhodes, C, Greenberg, P, Harkless, G, Goeschel, C, et al.. Evidence that nurses need to participate in diagnosis: lessons from malpractice claims. J Patient Saf 2021;17:e959–63. https://doi.org/10.1097/pts.0000000000000621.Search in Google Scholar

9. Singh, H, Graber, ML, Kissam, SM, Sorensen, AV, Lenfestey, NF, Tant, EM, et al.. System-related interventions to reduce diagnostic errors: a narrative review. BMJ Qual Saf 2012;21:160–70. https://doi.org/10.1136/bmjqs-2011-000150.Search in Google Scholar PubMed PubMed Central

10. 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.Search in Google Scholar PubMed

11. Gupta, A, Harrod, M, Quinn, M, Manojlovich, M, Fowler, KE, Singh, H, et al.. Mind the overlap: how system problems contribute to cognitive failure and diagnostic errors. Diagnosis 2018;5:151–6. https://doi.org/10.1515/dx-2018-0014.Search in Google Scholar PubMed PubMed Central

12. Durning, SJ, Artino, AR, Pangaro, LN, van der Vleuten, C, Schuwirth, L. Perspective: redefining context in the clinical encounter: implications for research and training in medical education. Acad Med 2010;85:894–901. https://doi.org/10.1097/acm.0b013e3181d7427c.Search in Google Scholar

13. Norman, G, Bordage, G, Page, G, Keane, D. How specific is case specificity? Med Educ 2006;40:618–23. https://doi.org/10.1111/j.1365-2929.2006.02511.x.Search in Google Scholar PubMed

14. Dory, V, Gagnon, R, Charlin, B. Is case-specificity content-specificity? An analysis of data from extended-matching questions. Adv Health Sci Educ Theory Pract 2010;15:55–63. https://doi.org/10.1007/s10459-009-9169-z.Search in Google Scholar PubMed

15. Durning, S, Artino, AR, Pangaro, L, van der Vleuten, CPM, Schuwirth, L. Context and clinical reasoning: understanding the perspective of the expert’s voice. Med Educ 2011;45:927–38. https://doi.org/10.1111/j.1365-2923.2011.04053.x.Search in Google Scholar PubMed

16. McBee, E, Ratcliffe, T, Picho, K, Artino, AR, Schuwirth, L, Kelly, W, et al.. Consequences of contextual factors on clinical reasoning in resident physicians. Adv Health Sci Educ Theory Pract 2015;20:1225–36. https://doi.org/10.1007/s10459-015-9597-x.Search in Google Scholar PubMed

17. McBee, E, Ratcliffe, T, Picho, K, Schuwirth, L, Artino, AR, 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.Search in Google Scholar PubMed PubMed Central

18. Ramani, D, Soh, M, Merkebu, J, Durning, SJ, Battista, A, McBee, E, et al.. Examining the patterns of uncertainty across clinical reasoning tasks: effects of contextual factors on the clinical reasoning process. Diagnosis 2020;7:299–305. https://doi.org/10.1515/dx-2020-0019.Search in Google Scholar PubMed

19. Konopasky, A, Artino, AR, Battista, A, Ohmer, M, Hemmer, PA, Torre, D, et al.. Understanding context specificity: the effect of contextual factors on clinical reasoning. Diagnosis 2020;7:257–64. https://doi.org/10.1515/dx-2020-0016.Search in Google Scholar PubMed

20. Croskerry, P. Context is everything or how could I have been that stupid? Healthc Q 2009;12:e171–6. https://doi.org/10.12927/hcq.2009.20945.Search in Google Scholar PubMed

21. Young, ME, Dory, V, Lubarsky, S, Thomas, A. How different theories of clinical reasoning influence teaching and assessment. Acad Med 2018;93:1415. https://doi.org/10.1097/acm.0000000000002303.Search in Google Scholar PubMed

22. Durning, SJ, Artino, AR. Situativity theory: a perspective on how participants and the environment can interact: AMEE Guide no. 52. Med Teach 2011;33:188–99. https://doi.org/10.3109/0142159x.2011.550965.Search in Google Scholar PubMed

23. Daniel, M, Wilson, E, Seifert, C, Durning, SJ, Holmboe, E, Rencic, JJ, et al.. Expanding boundaries: a transtheoretical model of clinical reasoning and diagnostic error. Diagnosis 2020;7:333–5. https://doi.org/10.1515/dx-2019-0102.Search in Google Scholar PubMed

24. Merkebu, J, Battistone, M, McMains, K, McOwen, K, Witkop, C, Konopasky, A, et al.. Situativity: a family of social cognitive theories for understanding clinical reasoning and diagnostic error. Diagnosis 2020;7:169–76. https://doi.org/10.1515/dx-2019-0100.Search in Google Scholar PubMed

25. Bleakley, A. Blunting Occam’s razor: aligning medical education with studies of complexity. J Eval Clin Pract 2010;16:849–55. https://doi.org/10.1111/j.1365-2753.2010.01498.x.Search in Google Scholar PubMed

26. Docherty, MA. Sociocultural learning in emergency medicine: a holistic examination of competence. Diagnosis 2020;7:325–32. https://doi.org/10.1515/dx-2020-0001.Search in Google Scholar PubMed

27. Humphrey, SE, LeBreton, JM, editors. The handbook of multilevel theory, measurement, and analysis. Washington: American Psychological Association; 2019.10.1037/0000115-000Search in Google Scholar

28. Bleakley, A. Re-visioning clinical reasoning, or stepping out from the skull. Med Teach 2021;43:456–62. https://doi.org/10.1080/0142159x.2020.1859098.Search in Google Scholar

29. Koufidis, C, Manninen, K, Nieminen, J, Wohlin, M, Silén, C. Representation, interaction and interpretation. Making sense of the context in clinical reasoning. Med Educ 2022;56:98–109. https://doi.org/10.1111/medu.14545.Search in Google Scholar PubMed

30. Patel, VL, Kaufman, DR, Arocha, JF. Emerging paradigms of cognition in medical decision-making. J Biomed Inf 2002;35:52–75. https://doi.org/10.1016/s1532-0464(02)00009-6.Search in Google Scholar PubMed

31. Laxmisan, A, Hakimzada, F, Sayan, OR, Green, RA, Zhang, J, Patel, VL. The multitasking clinician: decision-making and cognitive demand during and after team handoffs in emergency care. Int J Med Inf 2007;76:801–11. https://doi.org/10.1016/j.ijmedinf.2006.09.019.Search in Google Scholar PubMed

32. Heip, T, Van Hecke, A, Malfait, S, Van Biesen, W, Eeckloo, K. The effects of interdisciplinary bedside rounds on patient centeredness, quality of care, and team collaboration: a systematic review. J Patient Saf 2022;18:e40–4. https://doi.org/10.1097/pts.0000000000000695.Search in Google Scholar

33. Hafferty, FW, Castellani, B. The increasing complexities of professionalism. Acad Med 2010;85:288–301. https://doi.org/10.1097/acm.0b013e3181c85b43.Search in Google Scholar

34. Goodyear, P, Carvalho, L. The analysis of complex learning environments. In: Beetham, H, Sharpe, R, editors. Rethinking pedagogy for a digital age: principles and practices of design, 3rd ed. New York: Routledge; 2020.10.4324/9781351252805-4Search in Google Scholar

35. O’Brennan, L, Pas, E, Bradshaw, C. Multilevel examination of burnout among high school staff: importance of staff and school factors. Sch Psychol Rev 2017;46:165–76.10.17105/SPR-2015-0019.V46-2Search in Google Scholar

36. Southall, J. Addressing implicit bias in medicine requires multilevel approach [Online]. Available from: https://www.healio.com/news/hematology-oncology/20201014/addressing-implicit-bias-in-medicine-requires-multilevel-approach [Accessed 20 Oct 2022].Search in Google Scholar

37. Boshuizen, HPA, Schmidt, H. The development of clinical reasoning expertise. Amsterdam: Elsevier; 2018.Search in Google Scholar

38. Bowen, JL. Educational strategies to promote clinical diagnostic reasoning. N Engl J Med 2006;355:2217–25. https://doi.org/10.1056/nejmra054782.Search in Google Scholar PubMed

39. Rencic, J, Trowbridge, RL, Fagan, M, Szauter, K, Durning, S. Clinical reasoning education at US medical schools: results from a national survey of internal medicine clerkship directors. J Gen Intern Med 2017;32:1242–6. https://doi.org/10.1007/s11606-017-4159-y.Search in Google Scholar PubMed PubMed Central

40. Berliner, DC. Implications of studies on expertise in pedagogy for teacher education and evaluation. N Dir Teach Assess 1988;1:39–68.Search in Google Scholar

41. Gordon, SE, Gill, RT. Cognitive Task Analysis. In: Naturalistic Decision Making. New York: Psychology Press; 1997:131–40 pp.Search in Google Scholar

42. Hoffman, RR, Crandall, B, Shadbolt, N. Use of the critical decision method to elicit expert knowledge: a case study in the methodology of cognitive task analysis. Hum Factors 1998;40:254–76. https://doi.org/10.1518/001872098779480442.Search in Google Scholar

43. Mylopoulos, M, Kulasegaram, K, Woods, NN. Developing the experts we need: fostering adaptive expertise through education. J Eval Clin Pract 2018;24:674–7. https://doi.org/10.1111/jep.12905.Search in Google Scholar PubMed

Received: 2022-10-24
Accepted: 2022-11-28
Published Online: 2022-12-09

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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