Investing in the use of a checklist during differential diagnoses consideration: what’s the trade-off?
Open accessAbstract
BACKGROUND: A key challenge clinicians face when considering differential diagnoses is whether the patient data have been adequately collected. Insufficient data may inadvertently lead to premature closure of the diagnostic process. This study aimed to test the hypothesis that the application of a mnemonic checklist helps to stimulate more patient data collection, thus leading to better diagnostic consideration. METHODS: A total of 88 final year medical students were assigned to either an educational intervention group or a control group in a non-equivalent group post-test only design. Participants in the intervention group received a tutorial on the use of a mnemonic checklist aimed to minimize cognitive errors in clinical decision-making. Two weeks later, the participants in both groups were given a script concordance test consisting of 10 cases, with 3 items per case, to assess their clinical decisions when additional data are given in the case scenarios. RESULTS: The Mann-Whitney U-test performed on the total scores from both groups showed no statistical significance (U = 792, z = -1.408, p = 0.159). When comparisons were made for the first half and the second half of the SCT, it was found that participants in the intervention group performed significantly better than participants in the control group in the first half of the test, with median scores of 9.15 (IQR 8.00-10.28) vs. 8.18 (IQR 7.16-9.24) respectively, U = 642.5, z = -2.661, p = 0.008. No significant difference was found in the second half of the test, with the median score of 9.58 (IQR 8.90-10.56) vs. 9.81 (IQR 8.83-11.12) for the intervention group and control group respectively (U = 897.5, z = -0.524, p = 0.60). CONCLUSION: Checklist use in differential diagnoses consideration did show some benefit. However, this benefit seems to have been traded off by the time and effort in using it. More research is needed to determine whether this benefit could be translated into clinical practice after repetitive use.
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The TWED checklist prompts doctors to question their initial diagnosis and consider possible influencing factors, ensure there is enough supporting evidence, and explore alternative possibilities instead of settling on the obvious initial diagnosis.
“For example, the TWED (Threat, What else, Evidence, Dispositional factors) checklist prompts doctors to question their initial diagnosis and consider possible influencing factors, ensure there is enough supporting evidence, and explore alternative possibilities instead of settling on the obvious initial diagnosis [207].”
From Toward Safer Diagnoses: A SEIPS-Based Narrative Review of Diagnostic Errors (2026) · cites this paper as [207]
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Cites
The Importance of Cognitive Errors in Diagnosis and Strategies to Minimize Them
Croskerry, P. (2003) · Academic Medicine · doi:10.1097/00001888-200308000-00003 · Cited by 1,675 · see citing works
Diagnostic error in internal medicine
Graber, M. L., Franklin, N., & Gordon, R. (2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.13.1493 · Cited by 1,549 · see citing works
Cognitive load theory in health professional education: design principles and strategies
Van Merriënboer, J. J. G., & Sweller, J. (2010) · Medical Education · doi:10.1111/j.1365-2923.2009.03498.x · Cited by 1,511 · cited 1× · see citing works
“While it is essential for pre-stored items such as illness scripts to be activated into working memory, the capacity of working memory is severely limited [7, 16, 17].”
Self-citationInstructional control of cognitive load in the training of complex cognitive tasks
Paas, F. G. W. C., & Van Merriënboer, J. J. G. (1994) · Educational Psychology Review · doi:10.1007/bf02213420 · Cited by 968 · see citing works
Checklists to Reduce Diagnostic Errors
Ely, J. W., Graber, M. L., & Croskerry, P. (2011) · Academic Medicine · doi:10.1097/acm.0b013e31820824cd · Cited by 366 · see citing works
Flagged first, then by citations
Research works printed but not linked: 13
- [1]Improving Diagnosis in Health Care. Washington, DC: The National Academies Press; 2015. Doi: 10.17226/21794. 26803862 · DOI · Paper page
- [3]Croskerry P Singhal G Mamede S Cognitive debiasing 1: origins of bias and theory of debiasing BMJ Qual Saf 2013 22 Suppl 2 ii58 ii64 10.1136/bmjqs-2012-001712 PMC3786658 23882089 · DOI
- [5]Charlin B Tardif J Boshuizen HP Scripts and medical diagnostic knowledge: theory and applications for clinical reasoning instruction and research Acad Med 2000 75 2 182 190 10.1097/00001888-200002000-00020 10693854 · DOI
- [6]Charlin B Boshuizen HP Custers EJ Feltovich PJ Scripts and clinical reasoning Med Educ 2007 41 12 1178 1184 10.1111/j.1365-2923.2007.02924.x 18045370 · DOI
- [8]Schmidt HG Norman GR Boshuizen HP A cognitive perspective on medical expertise: theory and implication Acad Med 1990 65 10 611 621 10.1097/00001888-199010000-00001 2261032 · DOI
- [9]Barrows HS Feltovich PJ The clinical reasoning process Med Educ 1987 21 2 86 91 10.1111/j.1365-2923.1987.tb00671.x 3574170 · DOI
- [11]Chew KS Durning SJ van Merrienboer JJ Teaching metacognition in clinical decision-making using a novel mnemonic checklist: an exploratory study Singap Med J 2016 57 12 694 700 10.11622/smedj.2016015 PMC5165179 26778635 · DOI
- [12]Lubarsky S Charlin B Cook DA Chalk C van der Vleuten CP Script concordance testing: a review of published validity evidence Med Educ 2011 45 4 329 338 10.1111/j.1365-2923.2010.03863.x 21401680 · DOI
- [13]Chew KS van Merrienboer J Durning SJ A portable mnemonic to facilitate checking for cognitive errors BMC Res Notes 2016 9 1 445 10.1186/s13104-016-2249-2 27639851 PMC5027116 · DOI
- [14]Fournier JP Demeester A Charlin B Script concordance tests: guidelines for construction BMC Med Inform Decis Mak 2008 8 18 10.1186/1472-6947-8-18 18460199 PMC2427021 · DOI
- [16]Sweller J van Merrienboer JJG Paas FGWC Cognitive architecture and instructional design Educ Psychol Rev 1998 10 3 251 296 10.1023/A:1022193728205 · DOI · Paper page
- [17]Miller GA The magical number seven plus or minus two: some limits on our capacity for processing information Psychol Rev 1956 63 2 81 97 10.1037/h0043158 13310704 · DOI · Paper page
- [18]Lineberry M Kreiter CD Bordage G Threats to validity in the use and interpretation of script concordance test scores Med Educ 2013 47 12 1175 1183 10.1111/medu.12283 24206151 · DOI
Cited by
Sorted by citations
Thompson, J. P., Bujalka, H., McKeever, S., Lipscomb, A., Moore, S., Hill, N., Kinney, S., Cham, K. M., Martín, J. M. M., Bowers, P. J., et al. (2023) · BMC Medical Education · doi:10.1186/s12909-023-04371-5 · Cited by 59 · see citing works
“Table 4 Cognitive bias - approach to education Type of Cognitive bias Guiding philosophy/ conceptual framework Educational delivery Number of sessions Techniques/Tools used Anchoring bias (n=2 papers) • Not clearly stated[34, 36] • Face to face (lecture/ tutorial)[34, 36] • Simulation[36] • Single session[34, 36] • Ca…”
Xu, H., Ang, B. W., Soh, J., & Ponnamperuma, G. (2021) · Journal of general internal medicine · doi:10.1007/s11606-021-06916-0 · Cited by 34 · see citing works
The Management Script: A Practical Tool for Teaching Management Reasoning
Parsons, A. S., Wijesekera, T. P., & Rencic, J. J. (2020) · Academic Medicine · doi:10.1097/acm.0000000000003465 · Cited by 53 · see citing works
Staal, J., Hooftman, J., Gunput, S. T. G., Mamede, S., Frens, M. A., Van den Broek, W. W., Alsma, J., & Zwaan, L. (2022) · BMJ Quality & Safety · doi:10.1136/bmjqs-2022-014865 · Cited by 32 · see citing works
“…in other ways that were not comparable to the predominant measure of accuracy in the literature, such as the number of errors made, 37–39 56 whether the correct diagnosis was included in the differential 57 58 or whether a new diagnostic plan was made for a patient based on the leading diagnosis.”
Klüber, S., Maas, F., Schraudt, D., Hermann, G., Happel, O., & Grundgeiger, T. (2020) · Conference on Designing Interactive Systems · doi:10.1145/3357236.3395552 · Cited by 23 · see citing works
“Cognitive biases are the most frequent cause of diagnostic errors [17] and may result in the wrong treatments and threaten patient safety [8, 45, 46].”
BackgroundGriffith, P. B., Doherty, C., Smeltzer, S., & Mariani, B. A. (2020) · Journal of the American Association of Nurse Practitioners · doi:10.1097/jxx.0000000000000479 · Cited by 22 · see citing works
“A follow-up study by the same authors (Chew et al., 2017) found significant improvement in diagnostic accuracy with the use of the checklist if the medical students had the time to incorporate it in de-”
BackgroundMethodAl-Khafaji, J., Townshend, R. F., Townsend, W., Chopra, V., & Gupta, A. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-058219 · Cited by 19 · see citing works
Chew, K., van Merriënboer, J. V., & Durning, S. (2019) · BMC Medical Education · doi:10.1186/s12909-018-1451-4 · Cited by 13 · see citing works
Self-citationCreation and evaluation of a participatory child abuse and neglect workshop for medical students
Giannakas, C., Manta, A., Livanou, M., Daniil, V., Paraskeva, A., Georgiadou, M., Griva, N., Papaevangelou, V., Tsolia, M., Leventhal, J., et al. (2022) · BMC Medical Education · doi:10.1186/s12909-022-03837-2 · Cited by 8 · see citing works
“Checklists, though sometimes time-consuming and incomplete, are useful for codifying interventions, removing ambiguity, alerting clinical staff to the possibility of CAN and improving recording of important clinical information [19, 44, 45].”
BackgroundToward Safer Diagnoses: A SEIPS-Based Narrative Review of Diagnostic Errors
Yen, C., Epling, J. W., Rockwell, M., & Vaughn-Cooke, M. (2026) · Diagnostics · doi:10.3390/diagnostics16020347 · Cited by 6 · see citing works
“…What else, Evidence, Disposi-tional factors) checklist prompts doctors to question their initial diagnosis and consider possible influencing factors, ensure there is enough supporting evidence, and explore alternative possibilities instead of settling on the obvious initial diagnosis [207].”
Diagnostic Reasoning for APRN Learners: Overview of Teaching Strategies.
Petersen, L. A., Delkoski, S., & McCarthy, S. (2025) · AACN Advanced Critical Care · doi:10.4037/aacnacc2025341 · Cited by 4 · see citing works
Essa, A. A., Schmidt, H., Mamede, S., Knežević, K., Zwaan, L., & Magzoub, M. (2026) · Medical Education · doi:10.1111/medu.70229 · Cited by 2
“28,29 What premature closure as an empirical phenomenon entails has remained, however, largely elusive.”
Fager, O., Hindsberg, U., Johansson, A., Axelsson, C., & Hagiwara, M. A. (2024) · Journal of Cognitive Engineering and Decision Making · doi:10.1177/15553434241266894 · Cited by 2 · see citing works
“The TWED mnemonic has shown potential in increasing diagnostic accuracy (Chew et al., 2016a; Chew et al., 2017, 2017, 2019).”
Hall, B. (2020) · Springer eBooks · doi:10.1007/978-3-030-47117-0 · Cited by 2 · see citing works
Differential Diagnosis Skills in Physician Assistant Students
Leonard, E. (2025) · Cureus · doi:10.7759/cureus.83190
Morbée, S., Goemaere, S., Beyers, W., & Vansteenkiste, M. (2025) · Motivation and Emotion · doi:10.1007/s11031-025-10116-2
“Indeed, research has shown that processing an overload of instructions for simple procedural tasks requires more time and effort (Chew et al., 2017 ), elicits frustration and irritation (Mcphee & Charles, 2009), causes attention drifts, fatigue, and boredom (Peldszus et al., 2014), and provokes…”
History Taking for Chronic Pain
Hall, B. (2020) · Springer eBooks · doi:10.1007/978-3-030-47117-0_1
- Authors
- Chew, K. S., van Merrienboer, J. J. G., & Durning, S. J.
- Affiliations
- Universiti Malaysia Sarawak (MY)
- Corresponding author
- Chew, Keng Sheng
- Venue
- BMC Medical Education
- Published
- 2017-11-29
- Volume
- 17
- Issue
- 1
- Pages
- 234-234
- ISSN
- 1472-6920 (ISSN-L)
- PMC
- PMC5707798
- OpenAlex
- W2770094956
- Cited by
- 17
- References
- 19
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 1 · 2023: 3 · 2022: 3 · 2021: 1 · 2020: 4 · 2019: 1
- FWCI
- 1.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMC Medical Education (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Funders
- Universiti Malaysia Sarawak
- Topics
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Health Sciences › Health Professions › General Health Professions › Health Sciences Research and Education
- Keywords
- differential diagnosis, clinical decision-making, cognitive errors, patient data collection, script concordance test, medical students, educational intervention
- MeSH terms
- Clinical Decision-Making, Diagnosis, Differential, Diagnostic Errors, Education, Medical, Undergraduate, Female, Humans, Learning, Malaysia, Male, Students, Medical, Practice Guidelines as Topic, Problem-Based Learning, Young Adult, Checklist
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