Home Association of diagnostic error education and recognition frequency among Japanese medical students: a nationwide cross-sectional study
Article
Licensed
Unlicensed Requires Authentication

Association of diagnostic error education and recognition frequency among Japanese medical students: a nationwide cross-sectional study

  • Taiju Miyagami ORCID logo EMAIL logo , Takashi Watari , Yuji Nishizaki , Taro Shimizu and Yasuharu Tokuda
Published/Copyright: October 9, 2023

Abstract

Objectives

Diagnostic errors pose a significant risk to patient safety and have substantial medical and economic consequences. Despite their importance, diagnostic error education is currently lacking in standard pre-graduate curricula. This study aimed to investigate the incidence of diagnostic errors and the frequency of recognition among medical students in Japan.

Methods

A pilot survey was conducted immediately after the General Medicine In-Training Examination (GM-ITE), a comprehensive post-graduation test, administered to new residents right after graduation from medical school. The survey assessed whether they received education on diagnostic errors during their formal undergraduate medical education and whether they recognized diagnostic errors during their clinical training.

Results

Of the 564 examinees, 421 participated in the study. The majority of participants (63.9 %) reported receiving education on diagnostic errors, and 15.7 % recognized diagnostic errors during their clinical training. Significantly, those who received education on diagnostic errors had a higher rate of recognizing such errors compared to those who did not (19.7 vs. 8.6 %; p=0.0017).

Conclusions

These findings suggest that the recognition rate of diagnostic errors increases with improved literacy in diagnostic error education. This highlights the importance of incorporating diagnostic error education into medical curricula to develop effective strategies to prevent and manage diagnostic errors, and thereby enhance medical and patient safety. However, this study did not examine the specific educational content of the errors or the details of the recognition, necessitating further investigation in the future.


Corresponding author: Taiju Miyagami, MD, PhD, Department of General Medicine, Faculty of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, Japan, Phone: +81 3 3813 3111, Fax: +81 3 5802 1190, E-mail:

Funding source: National Academic Research Grant Funds

Award Identifier / Grant number: JSPS KAKENHI: 22K17310

  1. Research ethics: This study was approved by the JAMEP Ethics Committee (No. 22–27).

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

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Competing interests: The authors state no conflict of interest.

  5. Research funding: TM received a grant from the National Academic Research Grant Funds (JSPS KAKENHI: 22K17310).

References

1. Balogh, EP, Miller, BT, Ball, JR. Overview of diagnostic error in health care. In: Balogh, EP, Miller, BT, Ball, JR, editors. Improving diagnosis in health care. Washington, DC: National Academies Press; 2015:81–144 pp.10.17226/21794Search in Google Scholar PubMed

2. Committee on Diagnostic Error in Health Care, Board on Health Care Services, Institute of Medicine, The National Academies of Sciences Engineering, and Medicine. In: Balogh, EP, Miller, BT, Ball, JR, editors. Improving diagnosis in health care. Washington, DC: National Academies Press; 2015.Search in Google Scholar

3. Graber, ML, Rencic, J, Rusz, D, Papa, F, Croskerry, P, Zierler, B, et al.. Improving diagnosis by improving education: a policy brief on education in healthcare professions. Diagnosis (Berl) 2018;5:107–18. https://doi.org/10.1515/dx-2018-0033.Search in Google Scholar PubMed

4. Olson, A, Rencic, J, Cosby, K, Rusz, D, Papa, F, Croskerry, P, et al.. Competencies for improving diagnosis: an interprofessional framework for education and training in health care. Diagnosis (Berl) 2019;6:335–41. https://doi.org/10.1515/dx-2018-0107.Search in Google Scholar PubMed

5. Graber, ML, Holmboe, E, Stanley, J, Danielson, J, Schoenbaum, S, Olson, APJ. A call to action: next steps to advance diagnosis education in the health professions. Diagnosis (Berl) 2021;9:166–75. https://doi.org/10.1515/dx-2021-0103.Search in Google Scholar PubMed

6. Geha, R, Trowbridge, RL, Dhaliwal, G, Olson, APJ. Teaching about diagnostic errors through virtual patient cases: a pilot exploration. Diagnosis (Berl) 2018;5:223–7. https://doi.org/10.1515/dx-2018-0023.Search in Google Scholar PubMed

7. Madigosky, WS, Headrick, LA, Nelson, K, Cox, KR, Anderson, T. Changing and sustaining medical students’ knowledge, skills, and attitudes about patient safety and medical fallibility. Acad Med 2006;81:94–101. https://doi.org/10.1097/00001888-200601000-00022.Search in Google Scholar PubMed

8. Lambe, KA, Hevey, D, Kelly, BD. Guided reflection interventions show no effect on diagnostic accuracy in medical students. Front Psychol 2018;9:2297. https://doi.org/10.3389/fpsyg.2018.02297.Search in Google Scholar PubMed PubMed Central

9. Mamede, S, Splinter, TA, van Gog, T, Rikers, RM, Schmidt, HG. Exploring the role of salient distracting clinical features in the emergence of diagnostic errors and the mechanisms through which reflection counteracts mistakes. BMJ Qual Saf 2012;21:295–300. https://doi.org/10.1136/bmjqs-2011-000518.Search in Google Scholar PubMed

10. Ministry of Health, Labour and Welfare. [Homepage on the Internet] Announcement of successful passage of the 117th national medical examination; [cited: March 16, 2023]. https://www.mhlw.go.jp/stf/shingi2/0000197611_00005.html?_fsi=MclYGbZg&_fsi=nRV21Wbd [Accessed 26 Aug 2023].Search in Google Scholar

Received: 2023-08-09
Accepted: 2023-09-10
Published Online: 2023-10-09

© 2023 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Opinion Paper
  3. Exploring synthesis as a vital cognitive skill in complex clinical diagnosis
  4. Original Articles
  5. Physiologic measurements of cognitive load in clinical reasoning
  6. Impact of diagnostic management team on patient time to diagnosis and percent of accurate and clinically actionable diagnoses
  7. Game-based learning to improve diagnostic accuracy: a pilot randomized-controlled trial
  8. A patient follow-up intervention to improve medical decision making at an internal medicine residency program
  9. Application of a diagnosis flow draft based on appearance impression for detection of vulvar disease
  10. The consequences of delayed diagnosis and treatment in persons with multiple sclerosis given autologous hematopoietic stem cell transplantation
  11. Troponin testing in routine primary care: observations from a dynamic cohort study in the Amsterdam metropolitan area
  12. Use of saliva-based qPCR diagnostics for the accurate, rapid, and inexpensive detection of strep throat
  13. Short Communications
  14. Improving communication of diagnostic uncertainty to families of hospitalized children
  15. Association of diagnostic error education and recognition frequency among Japanese medical students: a nationwide cross-sectional study
  16. Updated statistics on Influenza mortality
  17. Letters to the Editor
  18. How case reports can be used to improve diagnosis
  19. Clinical assessment of Ortho VITROS SARS-CoV-2 antigen chemiluminescence immunoassay
  20. Convicting a wrong molecule?
  21. Case Reports - Lessons in Clinical Reasoning
  22. Lessons in clinical reasoning – pitfalls, myths, and pearls: a woman brought to a halt
  23. Lessons in clinical reasoning – pitfalls, myths, and pearls: shoulder pain as the first and only manifestation of lung cancer
  24. Congress Abstracts
  25. The Future of Diagnosis: Achieving Excellence and Equity
  26. The Future of Diagnosis: Navigating Uncertainty
Downloaded on 20.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/dx-2023-0105/html
Scroll to top button