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On context specificity and management reasoning: moving beyond diagnosis

  • James G. Boyle EMAIL logo , Matthew R. Walters , Fiona M. Burton , Catherine Paton , Martin Hughes , Susan Jamieson and Steven J. Durning
Published/Copyright: January 8, 2025

Abstract

Objectives

Diagnostic error is a global emergency. Context specificity is likely a source of the alarming rate of error and refers to the vexing phenomenon whereby a physician can see two patients with the same presenting complaint, identical history and examination findings, but due to the presence of contextual factors, decides on two different diagnoses. Studies have not empirically addressed the potential role of context specificity in management reasoning and errors with a diagnosis may not consistently translate to actual patient care.

Methods

We investigated the effect of context specificity on management reasoning in individuals working within a simulated internal medicine environment. Participants completed two ten minute back to back common encounters. The clinical content of each encounter was identical. One encounter featured the presence of carefully controlled contextual factors (CF+ vs. CF−) designed to distract from the correct diagnosis and management. Immediately after each encounter participants completed a post encounter form.

Results

Twenty senior medical students participated. The leading diagnosis score was higher (mean 0.88; SEM 0.07) for the CF− encounter compared with the CF+ encounter (0.58; 0.1; 95 % CI 0.04–0.56; p=0.02). Management reasoning scores were higher (mean 5.48; SEM 0.66) for the CF− encounter compared with the CF+ encounter (3.5; 0.56; 95 % CI 0.69–3.26; p=0.01). We demonstrated context specificity in both diagnostic and management reasoning.

Conclusions

This study is the first to empirically demonstrate that management reasoning, which directly impacts the patient, is also influenced by context specificity, providing additional evidence of context specificity’s role in unwanted variance in health care.


Corresponding author: Dr. James G. Boyle, Glasgow Royal Infirmary, School of Medicine, Dentistry and Nursing (SMDN), University of Glasgow, Glasgow, UK, E-mail:

Acknowledgments

We are greatly indebted to the team at Kirklands Hospital Simulation Centre in Bothwell, Lanarkshire.

  1. Research ethics: College of MVLS, University of Glasgow approved the study. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013).

  2. Informed consent: Informed consent was obtained from all individuals included in this study.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission. Concept: JB, MRW, SJ, SJD. Design: All. Data collection: JB, FMB, MH, CP. Analysis: JB, MRW, SJ, SJD. Drafting: JB wrote first draft. Critical Review DR: All.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: The raw data can be obtained on reasonable request from the corresponding author.

  8. Disclaimer: The views expressed herein are those of the authors and not necessarily those of the Department of Defense or other federal agencies.

Appendix

Controlled content for both CF− and CF+ cases

Case CF− CF+
Presentation Short history dyspnoea and chest pain. Associated with orthopnea, cough without purulent sputum, bilateral ankle swelling, reduced exercise tolerance which worsened with chest pain. Patient uncertain if has lost sense of taste or smell at present as has been off food recently. Pain is both dull (not sharp) and central. Pain feels similar but ‘a bit different’ from previous MI and patient unable to explain why. Patient is certain pain is 7/10 in severity but uncertain if pain feels worse when breathing in or out. Patient feels cold and has a clenched first held over central chest (Levine sign) Short history dyspnoea and chest pain. Associated with orthopnea, cough without purulent sputum, bilateral ankle swelling, reduced exercise tolerance which worsened with chest pain. Patient uncertain if has lost sense of taste or smell at present as has been off food recently. Pain is both dull (not sharp) and central. Pain feels similar but ‘a bit different’ from previous MI and patient unable to explain why. Patient is certain pain is 7/10 in severity but uncertain if pain feels worse when breathing in or out. Patient feels cold and has a clenched first held over central chest. (Levine’s sign)
PMHx 61 years old with ischaemic heart disease and previous MI, heart failure, hypertension, Type 2 diabetes 63 years old with ischaemic heart disease and previous MI, heart failure, hypertension, Type 2 diabetes
Drug Hx Aspirin

Furosemide

Ramipril

Metformin

Dapagliflozin

Atorvastatin

NKDA

Inconsistent adherence to medication
Aspirin

Bumetanide

Losartan

Metformin

Empagliflozin

Simvastatin

NKDA

Inconsistent adherence to medication
SHx Ex-smoker, alcohol within guidance, retired bus driver, married with children Ex-smoker, alcohol within guidance, retired teacher, married without children
FHx Father had ‘heart attack’ Several family members have T2DM
Observations Apyrexial, tachycardia, hypertensive, oxygen therapy maintains saturations Apyrexial, tachycardia, hypertensive, oxygen therapy maintains saturations
Examination Levine’s sign + (see above)

Heart sounds normal

Bibasal crepitations

Bilateral pedal oedema
Levine’s sign + (see above)

Heart sounds normal

Bibasal crepitations

Bilateral pedal oedema
ECG findings Sinus rhythm and old LBBB Sinus rhythm and old LBBB

References

1. National academies of sciences, engineering and medicine, improving diagnosis in health care. Washington, DC: National Academies Press; 2015.Search in Google Scholar

2. 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.Search in Google Scholar PubMed

3. Norman, GR, Eva, KW. Diagnostic error and clinical reasoning. Med Educ 2010;44:94–100. https://doi.org/10.1111/j.1365-2923.2009.03507.x.Search in Google Scholar PubMed

4. Norman, GR, Monteiro, SD, Sherbino, J, Ilgen, JS, SchmidtHG, MS. The causes of errors in clinical rea-soning: cognitive biases, knowledge deficits, and dualprocess thinking. Acad Med 2017;92:23–30. https://doi.org/10.1097/acm.0000000000001421.Search in Google Scholar PubMed

5. Croskerry, P. Diagnostic failure: a cognitive and affective approach. In: Henriksen, K, Battles, JB, Marks, ES, editors. Advances in patient safety: from research toI mplementation. Volume concepts and methodology. Rockville, US: Agency For Healthcare ResearchQuality; 2005, 2:241–54 pp.10.1037/e448242006-001Search in Google Scholar

6. Durning, SJ, Artino, AR, Boulet, JR, Dorrance, K, van der Vleuten, C, Schuwirth, L. The impact of selected contextual factors on experts’ clinical reasoning performance (does context impact clinical reasoning performance in experts?). Adv Health Sci Educ Theory Pract 2012;17:65–79. https://doi.org/10.1007/s10459-011-9294-3.Search in Google Scholar PubMed

7. Boyle, JG, Walters, MR, Jamieson, S, Durning, SJ. Clinical reasoning in the wild: premature closure during the COVID-19 pandemic. Diagnosis 2020;7:177–9. https://doi.org/10.1515/dx-2020-0061.Search in Google Scholar PubMed

8. Boyle, JG, Walters, MR, Jamieson, S, Durning, SJ. Sharing the bandwidth in cognitively overloaded teams and systems: mechanistic insights from a walk on the wild side of clinical reasoning. Teach Learn Med 2022;34:215–22. https://doi.org/10.1080/10401334.2021.1924723.Search in Google Scholar PubMed

9. Cook, DA, Sherbino, J, Durning, SJ. Management reasoning: beyond the diagnosis. JAMA 2018;319:2267–8. https://doi.org/10.1001/jama.2018.4385.Search in Google Scholar PubMed

10. Cook, DA, Durning, SJ, Sherbino, J, Gruppen, LD. Management reasoning: implications for health professions educators and a research agenda. Acad Med 2019;94:1310–16. https://doi.org/10.1097/acm.0000000000002768.Search in Google Scholar PubMed

11. Cook, DA, Stephenson, CR, Gruppen, LD, Durning, SJ. Management reasoning: empirical determination of key features and a conceptual model. Acad Med 2023;98:80–7. https://doi.org/10.1097/acm.0000000000004810.Search in Google Scholar PubMed

12. Ten Cate, O, Khursigara-Slattery, N, Cruess, RL, Hamstra, SJ, Steinert, Y, Sternszus, R. Medical competence as a multilayered construct. Med Educ 2024;58:93–104. https://doi.org/10.1111/medu.15162.Search in Google Scholar PubMed

13. Boyle, JG, Walters, MR, Jamieson, S, Durning, SJ. Distributed cognition: theoretical insights and practical applications to health professions education: AMEE Guide No. 159. Med Teach 2023;45:1323–33. https://doi.org/10.1080/0142159x.2023.2190479.Search in Google Scholar

14. Boyle, JG, Walters, MR, Jamieson, S, Durning, SJ. Reframing context specificity in team diagnosis using the theory of distributed cognition. Diagnosis 2023;10:235–41. https://doi.org/10.1515/dx-2022-0100.Search in Google Scholar PubMed

15. Durning, SJ, Artino, A, Boulet, J, La Rochelle, J, Van der Vleuten, C, Arze, B, et al.. The feasibility, reliability, and validity of a post-encounter form for evaluating clinical reasoning. Med Teach 2012;34:30–7. https://doi.org/10.3109/0142159x.2011.590557.Search in Google Scholar PubMed

16. West, CP, Dyrbye, LN, Satele, DV, Sloan, JA, Shanafelt, TD. Concurrent validity of single-item measures of emotional exhaustion and depersonalization in burnout assessment. J Gen Intern Med 2012;27:1445–52. https://doi.org/10.1007/s11606-012-2015-7.Search in Google Scholar PubMed PubMed Central

17. Johns, MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep 1991;14:540–5. https://doi.org/10.1093/sleep/14.6.540.Search in Google Scholar PubMed

18. Johnson, WR, Artino, ARJr, Durning, SJ. Using the think aloud protocol in health professions education: an interview method for exploring thought processes: AMEE Guide No. 151. Med Teach 2023;45:937–48. https://doi.org/10.1080/0142159x.2022.2155123.Search in Google Scholar

19. 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

20. Durning, SJ, Trowbridge, RL, Schuwirth, L. Clinical reasoning and diagnostic error: a call to merge two worlds to improve patient care. Acad Med 2020;95:1159–61. https://doi.org/10.1097/acm.0000000000003041.Search in Google Scholar PubMed

Received: 2024-07-10
Accepted: 2024-11-30
Published Online: 2025-01-08

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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