Home Embedding a longitudinal diagnostic reasoning curriculum in a residency program using a bolus/booster approach
Article
Licensed
Unlicensed Requires Authentication

Embedding a longitudinal diagnostic reasoning curriculum in a residency program using a bolus/booster approach

  • Katherine I. Harris EMAIL logo , Jane S. Rowat and Manish Suneja
Published/Copyright: July 27, 2019

Abstract

Background

Diagnostic reasoning skills are essential to the practice of medicine, yet longitudinal curricula to teach residents and evaluate performance in this area is lacking. We describe a longitudinal diagnostic reasoning curriculum implemented in a university-based internal medicine residency program and self-evaluation assessment of the curriculum’s effectiveness.

Methods

A longitudinal diagnostic reasoning curriculum (bolus/booster) was developed and implemented in the fall of 2015 at the University of Iowa. R1, R2, and R3 cohorts were taught the “bolus” curriculum at the beginning of each academic year followed by a “booster” component to maintain and build upon diagnostic reasoning skills taught during the “bolus” phase. Self-administered diagnostic thinking inventory (DTI) scores were collected in the spring of pre-curriculum (baseline, 2014–2015) and post-curriculum (2016–2017).

Results

The overall DTI scores improved in the R1 cohort, although statistically significant differences were not seen with R2s and R3s. In the original DTI categories, R1s improved in both flexibility of thinking and structure of thinking, the R2s improved in structure of thinking and the R3s did not improve in either category. R1s showed improvement in three of the four subcategories – data acquisition, problem representation, and hypothesis generation. The R2s improved in the subcategory of problem representation. R3s showed no improvement in any of the subcategories. The R3 cohort had higher mean scores in all categories but this did not reach statistical significance.

Conclusions

Our program created and successfully implemented a longitudinal diagnostic reasoning curriculum. DTI scores improved after implementation of a new diagnostic reasoning curriculum, particularly in R1 cohort.


Corresponding author: Katherine I. Harris, MD, University of Iowa, Department of Internal Medicine, 200 Hawkins Drive, E327-1 GH, Iowa City, IA 52242, USA, Phone: 319-384-8512

Acknowledgments

We would like to thank Teresa Ruggle and Kris Greiner for their assistance in preparing and editing this manuscript. We would also like to thank Dr. Kristi Ferguson for her help in the statistics and Dr. Bharat Kumar for his help in developing the sub-categories of the DTI.

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

  2. Research funding: None declared.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

References

1. Bowen JL. Educational strategies to promote clinical diagnostic reasoning. N Engl J Med 2006;355:2217–25.10.1056/NEJMra054782Search in Google Scholar PubMed

2. Wilson RM, Harrison BT, Gibberd RW, Hamilton JD. An analysis of the causes of adverse events from the Quality in Australian Health Care Study. Med J Aust 1999;170:411–5.10.5694/j.1326-5377.1999.tb127814.xSearch in Google Scholar PubMed

3. Graber ML, Franklin N, Gordon R. Diagnostic error in internal medicine. Arch Int Med 2005;165:1493–9.10.1001/archinte.165.13.1493Search in Google Scholar PubMed

4. Makary MA, Daniel M. Medical error-the third leading cause of death in the US. Br Med J 2016;353:i2139.10.1136/bmj.i2139Search in Google Scholar PubMed

5. 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;92:23–30.10.1097/ACM.0000000000001421Search in Google Scholar PubMed

6. Durning SJ, Ratcliffe T, Artino AR Jr., van der Vleuten C, Beckman TJ, Holmboe E, et al. How is clinical reasoning developed, maintained, and objectively assessed? Views from expert internists and internal medicine interns. J Contin Educ Health Prof 2013;33:215–23.10.1002/chp.21188Search in Google Scholar PubMed

7. Schmidt HG, Mamede S. How to improve the teaching of clinical reasoning: a narrative review and a proposal. Med Educ 2015;49:961–73.10.1111/medu.12775Search in Google Scholar PubMed

8. Bordage G, Grant J, Marsden P. Quantitative assessment of diagnostic ability. Med Educ 1990;24:413–25.10.1111/j.1365-2923.1990.tb02650.xSearch in Google Scholar PubMed

9. Flanders SA, Centor B, Weber V, McGinn T, Desalvo K, Auerbach A. Challenges and opportunities in academic hospital medicine: report from the academic hospital medicine summit. J Hosp Med 2009;4:240–6.10.1002/jhm.497Search in Google Scholar PubMed

10. Taylor DC, Hamdy H. Adult learning theories: implications for learning and teaching in medical education: AMEE Guide No. 83. Med Teach 2013;35:e1561–72.10.3109/0142159X.2013.828153Search in Google Scholar PubMed

11. Goldszmidt M, Minda JP, Bordage G. Developing a unified list of physicians’ reasoning tasks during clinical encounters. Acad Med 2013;88:390–7.10.1097/ACM.0b013e31827fc58dSearch in Google Scholar PubMed

12. Tavakol M, Dennick R. Making sense of Cronbach’s alpha. Int J Med Educ 2011;2:53–5.10.5116/ijme.4dfb.8dfdSearch in Google Scholar PubMed PubMed Central

13. Norman G, Young M, Brooks L. Non-analytical models of clinical reasoning: the role of experience. Med Educ 2007;41:1140–5.10.1111/j.1365-2923.2007.02914.xSearch in Google Scholar PubMed

14. Norman G. Building on experience – the development of clinical reasoning. N Engl J Med 2006;355:2251–2.10.1056/NEJMe068134Search in Google Scholar PubMed

15. Simpkin AL, Vyas JM, Armstrong KA. Diagnostic reasoning: an endangered competency in internal medicine training. Ann Intern Med 2017;167:507–8.10.7326/M17-0163Search in Google Scholar PubMed

16. Norman G. Data dredging, salami-slicing, and other successful strategies to ensure rejection: twelve tips on how to not get your paper published. Adv Health Sci Educ Theory Pract 2014;19:1–5.10.1007/s10459-014-9494-8Search in Google Scholar PubMed


Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/dx-2019-0023).


Received: 2019-03-20
Accepted: 2019-07-17
Published Online: 2019-07-27
Published in Print: 2020-01-28

©2020 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 12.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/dx-2019-0023/html
Scroll to top button