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. 2024 Mar 21;14(3):e081367. doi: 10.1136/bmjopen-2023-081367

Investigation of divergent thinking among surgeons and surgeon trainees in Canada (IDEAS): a mixed-methods study

Alex Thabane 1,, Tyler McKechnie 1,2, Vikram Arora 1, Goran Calic 3, Jason W Busse 1,4, Ranil Sonnadara 1,5, Mohit Bhandari 1,2
PMCID: PMC10961566  PMID: 38514152

Abstract

Objective

To assess the creative potential of surgeons and surgeon trainees, as measured by divergent thinking. The secondary objectives were to identify factors associated with divergent thinking, assess confidence in creative problem-solving and the perceived effect of surgical training on creative potential, and explore the value of creativity in surgery.

Design

We used a mixed-methods design, conducting a survey of divergent thinking ability using a validated questionnaire followed by two semi-structured interviews with top-scoring participants.

Participants & setting

Surgeons and surgeon trainees in the Department of Surgery at McMaster University.

Outcomes

The primary outcome was divergent thinking, assessed with the Abbreviated Torrance Test for Adults. Participants also self-assessed their confidence in creative problem-solving and the effect of surgical training on their creative potential. We performed descriptive analyses and multivariable linear regression to identify factors associated with divergent thinking. We conducted a thematic analysis of the interview responses.

Results

82 surgeons and surgeon trainees were surveyed; 43 were junior trainees and 28 were senior trainees. General surgery, orthopaedic surgery and plastic surgery represented 71.9% of the participants. The median participant age was 28 years (range 24–73), 51.2% of whom were female. Participants demonstrated levels of divergent thinking that were higher but not meaningfully different from the adult norm (62.39 (95% CI 61.25, 63.53), p<0.001). While participants scored significantly higher than the average adult on fluency (the ability to produce quantities of ideas) and flexibility (the ability to process information in different ways) (p<0.001 for both), they scored below average on originality (the ability to produce uncommon, new or unique ideas) (p<0.001). Regression analysis identified higher divergent thinking scores among females (estimated β=−3.58 (95% CI −6.25 to –0.90), p=0.010).

Conclusions

The divergent thinking ability among surgeons and surgeon trainees was not meaningfully different from the adult normative score; however, their ability to generate original ideas was below average.

Keywords: SURGERY, EDUCATION & TRAINING (see Medical Education & Training), Observational Study


Strengths and limitations of this study.

  • Used a validated measure of divergent thinking to measure the creative potential of surgeons and surgeon trainees.

  • Included participants from a range of surgical specialties and years of experience.

  • Performed semi-structured interviews with top-scoring participants to contextualise the results and provide insights in the importance of creativity in surgery.

  • Test results may have been influenced by motivational factors.

Introduction

During the Second World War, the US Air Force commissioned JP Guilford, a psychologist at the University of Southern California, to help develop tests for the selection of pilots.1 Aviation is a high-risk, safety-critical environment, and many of the processes are standardised in order to minimise the risk of error.2 However, when unforeseen problems occur in life-critical situations, the ability to generate original, effective solutions when no prescribed procedure or solution is available—the ability to be creative—can save lives.3 This is equally true for surgery as it is for aviation.

Surgery may not seem like a creative profession. Guidelines, evidence-based decision pathways and a training model characterised by demonstration and imitation are some of the ways that surgeons maximise safety by standardising the profession. This standardisation is antithetical to creativity, which involves risk-taking and experimentation.4 Yet, creativity can be critical to the success and evolution of the surgical profession: consider the surgeon who finds a unique solution to stopping a haemorrhage or the development of a new, highly effective surgical technique. Despite the necessary standardisation of the profession, surgeons believe the ability to be creative is important and valuable.5–7

The process of creativity consists of two components: idea generation and evaluation.8–10 It was JP Guilford who first conceptualised the process of idea generation as divergent thinking.11 Divergent thinking is therefore the cognitive starting point of creativity, with the evaluation or implementation of creative ideas happening downstream. Divergent thinking tests, like the Torrance Test of Creative Thinking (TTCT),12 are the most widely used tests of creativity,13 demonstrating a strong ability to predict creative achievement up to 40 years postadministration.14–16 Divergent thinking can help measure the creative potential of surgeons.

To our knowledge, no studies of divergent thinking have been performed in the surgical population. We sought to fill this gap by conducting a survey of divergent thinking ability among surgeons and surgeon trainees. Given the above-average intellectual abilities of those who study medicine17 18 and the association between general intelligence and divergent thinking,19 we hypothesised that the divergent thinking ability of surgeons and surgeon trainees would be higher than the average adult.

Objectives

To assess the creative potential of surgeons and surgeon trainees through the measurement of divergent thinking ability. As secondary objectives, we aimed to explore factors associated with divergent thinking, measure surgeons’ confidence in creative problem-solving and the perceived effect of the surgical training on creative potential, and gain insights into the value of creativity in surgery.

Methodology

For this mixed-methods study, we followed the strengthening the reporting of observational studies in epidemiology guideline for the reporting of our survey20 and published our protocol.21 The Hamilton Integrated Research Ethics Board provided approval for this research project (Project #15178). All participants provided informed consent by signing a written consent form.

Patient and public involvement statement

The public/participants were not involved in the design, conduct, reporting or dissemination plans of the study.

Study population

The target population was surgeons and surgeon trainees in the Department of Surgery at McMaster University. We used a convenience sampling method to recruit participants—we directly contacted staff surgeons and residents via email, as well as the programme director of the Surgical Foundations training programme (responsible for the training of new surgeon trainees). Recruitment took place between December 2022 and July 2023.

Outcomes

We measured the primary outcome of divergent thinking ability using the Abbreviated Torrance Test for Adults (ATTA).22 The ATTA is the abbreviated version of TTCT,23 which is considered to be the best tool for assessing creativity.24 The TTCT has been found to be a valid predictor of creative and personal achievement up to 50 years after testing.14–16 25 The ATTA test itself has been validated as a predictor of creative performance in an adult population.26 It measures four norm-referenced abilities—fluency (the ability to produce quantities of ideas), originality (the ability to produce uncommon, new or unique ideas), elaboration (the ability to embellish ideas with details) and flexibility (the ability to process information in different ways; variety of ideas). The ATTA is a three-part test with both verbal and figural components: the first activity was a verbal task; activities 2 and 3 were figural (drawing) tasks. Each task was time-limited to 3 min.

We used the following statement to assess self-confidence in creative problem-solving, measured using a 7-point Likert scale (strongly disagree to strongly agree): ‘I have confidence in my ability to solve problems creatively’. We also assessed the participant’s belief that surgical training enhanced their creative potential using the following statement, measured on a 7-point Likert scale (strongly disagree to strongly agree): ‘My work bolsters my creative potential’. All Likert responses were later converted into a 5-point scale (scores 2–3 and 5–6 were collapsed separately).

Administration

Following consent, a baseline characteristics form was completed by each participant. Collected information included age, sex, years of postgraduate surgical experience, surgical specialty, relationship status, ethnicity, undergraduate degree, time spent alone per day, hours worked per week, creative hobbies, creative friends, holding of a leadership position, whether the participant regularly makes time to reflect or think and their total peer-reviewed publications. After completion, a study coordinator educated on the testing protocol administered the ATTA test in person to ensure proper adherence to protocol.

Semi-structured interviews

After all tests were graded, we conducted two semi-structured interviews with two top-scoring participants, who consented to being interviewed after being given the details of the interview. Each interview was conducted on Zoom and lasted roughly 40 min, performed by a single interviewer with a graduate-level training in health research methodology. A semi-structured interview guide (online supplemental material) was used in both interviews, covering the following topics: (1) the definition of creativity, (2) the effect of medical/surgical training on creativity, (3) the value of creativity in surgery and (4) the importance of creative hobbies and friends.

Supplementary data

bmjopen-2023-081367supp001.pdf (195KB, pdf)

A thematic analysis of the interview responses was performed by a single assessor. Data from the two interviews were transcribed verbatim manually, anonymised and coded using a grounded theory approach27 to assign categories and meaning to the data, extract emergent themes and synthesise a coherent storyline.28 The data were processed and stored in Microsoft Word.

Statistical analysis

To estimate the total ATTA score using a 95% CI, with a margin of error of two and the ATTA score’s SD of 7.87,29 we calculated the minimum sample size to be 60 participants. As such, we included 10 variables in our linear regression.30

Following the ATTA manual, we calculated a total ATTA score—the sum of each scaled subscore—for each participant, normalised to the average adult.29 The average adult’s normative total ATTA score is 60 (SD 7.87); each subscore has a normative subscore of 15 (range 11–19).29 The ATTA has high interrater reliability and a Kuder-Richardson 21 (KR21) reliability coefficient of 0.90,29 indicating high test reliability. All tests were assessed independently by one reviewer trained on the ATTA assessment tool. A second grader was trained on ATTA assessment to assess all tests independently, solely for the purposes of testing the reliability of the first reviewer’s scores. We calculated an intraclass correlation coefficient (ICC) between the two graders using a two-way mixed model, testing for absolute agreement.

We performed descriptive analyses of participant demographics, as well as the total ATTA scores (reported as mean scores with corresponding 95% CIs) across all participants and by baseline factors. The scores for the total ATTA score were graphically displayed using forest plots, and the distributions were illustrated using violin plots created with SRPlot.31 Minimally important differences (MIDs) were estimated for the total ATTA score by using half the SD as a threshold for MID, which we estimated to be four points32: scores greater than 64 and less than 56 were thus considered an important difference from the adult population average. We also conducted two-sided, one-sample t-tests for the total ATTA score and each subscore compared with adult population average.29

We performed a multivariable linear regression to explore factors associated with divergent thinking ability using the following 10 variables: age, years of surgical experience, sex, number of publications, the presence of creative hobbies, the presence of creative friends, surgical specialty (general surgery vs other), time spent alone per day, hours worked per week and confidence in creative problem-solving ability. We included sex a predictor variable, as existing literature suggests a difference in divergent thinking between males and females.33–38 The remaining variables were chosen a priori on exploratory grounds to generate hypotheses for further testing. For the regression model, we evaluated model assumptions and goodness-of-fit through residual analysis. As a sensitivity analysis, we reperformed the regression analysis treating the surgical specialty as a random effect to account for potential clustering of scores among participants within specialties. All statistical analyses were performed using SPSS 28.0,39 and all bar graphs and forest plots were built in Microsoft Excel.

Results

For the total ATTA scores, the ICC between the two reviewers was 0.92 (95% CI 0.88, 0.95) indicating excellent reliability.40

Respondent characteristics

82 surgeons and surgeon trainees completed the survey. The median age was 28 (range 24–73). Surgical experience varied widely, with a median of 2 years (range 0–30) of experience. The sample was predominantly composed of general surgeons (n=34), orthopaedic surgeons (n=14) and plastic surgeons (n=11). A complete table of baseline demographics can be found in table 1.

Table 1.

Baseline characteristics

Baseline characteristics n=82
Age (years) 28 (24–73)
Sex
 Male 40 (48.8%)
 Female 42 (51.2%)
Surgical experience (years) 2 (0–30)
 0 years of experience 16 (19.5%)
 1–2 years of experience 27 (32.9%)
 3–5 years of experience 28 (34.1%)
 6 years of experience 11 (13.4%)
Specialty
 Cardiac surgery 4 (4.9%)
 General surgery 34 (41.5%)
 Neurosurgery 5 (6.1%)
 Obstetrics and gynaecology 5 (6.1%)
 Ophthalmology 1 (1.2%)
 Orthopaedics 14 (17.1%)
 Otolaryngology 3 (3.6%)
 Plastic 11 (13.4%)
 Urology 5 (6.1%)
Relationship status
 Married 26 (31.7%)
 Single 53 (64.6%)
 Not reported 3 (3.6%)
Number of children
 0 68 (82.9%)
 1 5 (6.1%)
 2 3 (3.6%)
 3+ 2 (2.4%)
 Not reported 4 (4.8%)
Undergraduate degree
 Science 74 (90.2%)
 Engineering 1 (1.2%)
 Arts 1 (1.2%)
 Other (unspecified) 6 (12.4%)
Time alone per day (hours) 3.85 (2.62)
Work per week (hours) 73.08 (16.01)
Has a creative hobby 44 (53.7%)
Has creative friend(s) 68 (82.9%)
Makes time regularly to think 49 (59.8%)
Holds leadership position 10 (12.2%)
# of publications 4 (0–80)
I have confidence in my ability to solve problems creatively (7-point Likert)
 Strongly disagree (1) 0 (0.0%)
 Disagree (2–3) 5 (6.1%)
 Neutral (4) 16 (19.5%)
 Agree (5–6) 58 (70.7%)
 Strongly agree (7) 3 (3.7%)
My work bolsters my creative potential (7-point Likert) (n=79)
 Strongly disagree (1) 4 (5.1%)
 Disagree (2–3) 15 (19.0%)
 Neutral (4) 21 (26.6%)
 Agree (5–6) 37 (46.8%)
 Strongly agree (7) 2 (2.5%)

Data presented as mean (SD), median (range) or n (%).

Creative self-perception

While 61 (74.4%) participants had confidence in their ability to solve problems creatively, less than half (39/79, 49.4%) agreed that their work bolstered their creative potential (figure 1).

Figure 1.

Figure 1

Likert responses for confidence in creative problem-solving and effect of surgical profession on creative potential.

Divergent thinking scores

The divergent thinking ability of participants was significantly higher than the average adult (p<0.001), with a mean score of 62.39 (95% CI 61.25, 63.53) (figure 2). However, the difference was not meaningfully different, as it did not cross the MID threshold of 64. Similarly, no meaningful differences from the average adult score were observed across all baseline factors (figure 2).

Figure 2.

Figure 2

Estimated total ATTA scores overall and by baseline factor. The adult normative score of 60, labelled with a black solid line. The estimated minimally important difference thresholds of 56 and 64 are labelled with grey dotted lines. ATTA, Abbreviated Torrance Test for Adults.

The participants scored significantly higher than the average adult in fluency (ability to produce quantities of ideas; 16.83 (95% CI 16.43, 17.22)) and flexibility (ability to process information in different ways; 16.41 (95% CI 16.00, 16.83)) (eTable 1; p<0.001 for both). However, they scored significantly lower in originality than the average adult (the ability to produce uncommon, new or unique ideas; 13.73 (95% CI 13.29, 14.17)) (eTable 1; p<0.001). Elaboration scores (the ability to embellish ideas with details; 15.41 (95% CI 14.92, 15.91)) were not significantly different from the population average (eTable 1; p=0.097).

The distributions of the total ATTA scores and subscores are displayed with violin plots (eFigure 1 and 2), and the results of the t-tests are summarised in eTable 2.

Subgroup effects

Being male had a significant negative association with divergent thinking ability (estimated β=−3.58 (95% CI −6.25 to –0.90), p<0.001). Having less than 2 years of surgical experience trended towards a positive association with divergent thinking (estimated β=2.53 (95% CI −0.41, 5.46), p=0.090). No other factors were associated with divergent thinking (table 2). The sensitivity analysis treating surgical specialty as a random effect yielded similar results (eTable 3).

Table 2.

Multiple linear regression results—predictors of total ATTA score

Variable Estimated β coefficient (95% CI) P value
Age 0.08 (−0.20, 0.37) 0.563
Surgical experience 2+ years Ref.
Less than 2 years 2.53 (−0.41, 5.46) 0.090
Sex Female Ref.
Male −3.58 (−6.25, −0.90) 0.010
Creative hobby No creative hobby Ref.
Has creative hobby 0.15 (−2.26, 2.55) 0.902
Creative friends No creative friends Ref.
Creative friends 2.41 (−0.82, 5.64) 0.142
Specialty Other Ref.
General surgery 1.16 (−1.25, 3.57) 0.338
Creative problem-solving Not confident or neutral Ref.
Confident 1.26 (−1.47, 4.00) 0.359
# of publications 0.03 (−0.06, 0.12) 0.502
Hours worked per week 0.04 (−0.04, 0.13) 0.321
Time alone per day −0.01 (−0.51, 0.49) 0.962

ATTA, Abbreviated Torrance Test for Adults.

Semi-structured interviews

The two participants interviewed were both female, came from musical backgrounds and in the first 2 years of their surgical training. Surgeon 1 (S1) specialised in neurosurgery and Surgeon 2 (S2) specialised in orthopaedics.

S1 commented on the adverse effect of medical school and residency training on creativity.

I think that side of me has been stifled as I have gone through medical school and residency. There is this sense in medical training about professionalism, and how you are supposed to toe the line and be like everybody else. There’s this mould and you’re supposed to fit into it. And I wanted to do well in medicine, so I felt like I would do what I was supposed to do and put myself in the box. (S1)

When discussing the value of creativity in surgery, both S1 and S2 mentioned problem-solving both inside and outside of the operating room.

It’s combination of technical mastery, but also flexible thinking relating to how surgery is different every time. No one can teach you how to perform every surgery. All you can do is build your skills and thinking [ability]. I don’t think it’s taught that way, but I think that’s where the creativity in surgery comes out. (S1)

In the OR, troubleshooting things. I’ve been in cases where hardware removals were complicated because the instrument used wasn’t available and you end up MacGyver’ing things. Even logistics – helping people navigate the healthcare system sometimes takes more creativity than you would think. (S2)

Both participants stressed the importance of developing creative problem-solving skills through exercising independent decision-making.

Having autonomy and being forced to problem-solve works those creative muscles, as far as creativity is related to problem-solving. (S1)

One thing that benefited me was overnight, when you run into issues, you’re encouraged to figure it out. If there is a safety concern that is different, but there are a lot of little decisions you can make [that] you can always fix in the morning. Being encouraged to make those decisions and figure those things out on my own as a first-year resident is helpful. (S2)

S1 also highlighted the impact that having imaginative individuals in one’s life can have on one’s creativity.

Being around people who are imaginative is a great way of keeping that [creativity] alive. (S1)

Both participants mentioned hobbies that allow one to engage their creativity as important outlets for surgeons.

It balances the ‘non-playing’ aspect of surgery because there’s part of that which is important. I think it [creativity] can help with things like stress and burnout. (S1)

I think it’s important to have something outside of residency to sustain you. To have a whole life outside of medicine—it’s easy to let that slip away, especially in the later years of medical school. (S2)

Discussion

While overall divergent thinking ability among surgeons and surgeon trainees was not meaningfully different from the adult population average, participants displayed significantly higher levels of fluency and flexibility but struggled to think originally. Females scored significantly higher on the test than males, and though not significant, having more surgical experience trended towards a negative association with divergent thinking. The semi-structured interviews with top-scoring participants supported several of the findings in the survey, with one interviewee suggesting her creativity was being ‘stifled’ by medical training.

We found only three studies on creativity in surgery: two citation analyses41 42 and one cross-sectional study including mostly non-physicians.43 This makes our survey the first study of creativity in surgeons and surgeon trainees. We recruited over 80 participants, which exceeded the minimum sample size determined by our power calculation. Moreover, we collected sociodemographic and professional characteristics, enabling us to perform analyses to explore trends and identify factors associated with divergent thinking. We supported the survey with self-assessments of confidence in creative problem-solving and the impact of the surgical profession on creative potential. The qualitative component of our study helped to contextualise our results.

Our results are consistent with the results of several studies which have found females to significantly outperform males on creativity tests,33–38 particularly as females reach higher education35 37 ; however, contrasting evidence finding no difference between males and females has also been reported.44–46 Harnessing the creative potential of surgeons and surgeon trainees could benefit both surgeons and the patient they care for. Initiatives that address barriers to entry for females in surgery, such as mitigating gender discrimination,47 48 and creating opportunities for participation in surgical innovation could be ways to do so.

Divergent thinking is correlated to broad retrieval ability and processing speed,19 and more broadly, general intelligence.49 50 Medical professionals are largely selected based on general intelligence, as measured by academic performance and standardised test scores.51 52 This explains the high fluency and flexibility scores. But, given the high correlation between fluency, flexibility and originality,53–56 we would expect to observe similarly high levels of originality. This was not the case and is a particularly important observation given the requirement of originality in creativity.57 58 Finding significantly below-average levels of originality could be explained by the surgical training process, as our regression results suggested. Given the risk and uncertainty inherent in the profession, the surgical training process, based on an apprenticeship model,59 places a strong emphasis on following standards and instructions in the operating room. Particularly for novice trainees, creative ideas not steeped in the necessary domain expertise may feel too risky to suggest in the operating room. Moreover, the ability to generate original solutions decreases as one gains experience solving problems in a certain fashion.60 Over time, the surgical training process could be leading to a lack of engagement in divergent thinking and original idea generation, as trainees inadvertently learn that, to become a ‘good’ surgeon, they must put their original ideas to the side and ‘do as I do’. The negative impact of surgical training on divergent thinking was supported by our interviews, where a ‘stifling’ of creativity by medical training was reported. It is possible that the current surgical training model provides the necessary skills and abilities for the training of safe, effective surgeons, and divergent thinking is not required. Future studies exploring whether divergent thinking influences surgeon performance, patient outcomes, well-being and other outcomes are needed. Further exploration into the effect of the surgical training process on creativity is also warranted.

This study has limitations. We chose an abbreviated version of the more comprehensive TTCT which requires 30–45 min to complete. While the ATTA has never been used in a surgical population, it has shown good predictive validity in an adult population.26 Further, its short administration time (10 min) improved compliance, study feasibility and recruitment of participants. Second, grading of the tests was performed by one reviewer. However, we tested the reliability of our results against an independent second grader, calculating an excellent level of agreement. Third, given the cross-sectional nature of the survey, we cannot determine causation or control for residual confounding from variables we did not collect. Longitudinal studies are required to assess the causative nature of the associated variables identified in this study. Fourth, the measurement of divergent thinking may have been influenced by motivational factors, which can affect test performance.61 Lastly, despite our efforts to achieve a representative sample, participants were predominantly trainees and/or specialists in general surgeries, which limits generalisability and led to imprecise estimates of divergent thinking in underpowered subgroups.

Conclusions

We found the divergent thinking level of surgeons and surgeon trainees was significantly higher but not meaningfully different from the average adult. Participants showed above-average ability to generate quantities and varieties of ideas but struggled to generate original ideas. The female sex was associated with higher divergent thinking ability. The results of the interviews highlighted the value of creativity for creative problem-solving in the operating room and the potential for creativity to mitigate stress and burnout. These results are likely generalisable to other surgical departments in Canada. Future research is needed to further explore the intersection between creativity in surgery, particularly with respect to the potential negative effect of surgical training on the creative potential of surgeons.

Supplementary Material

Reviewer comments
Author's manuscript

Acknowledgments

We would like to thank the surgeons and residents of McMaster University for their willing participation in this study, and the Surgical Foundation program for facilitating testing.

Footnotes

Twitter: @tylermckechnie, @JasonWBusse

Contributors: AT, JWB, RS and MB conceptualised and designed the study. AT, TM and VA were involved in the testing and grading of the participant scores. AT performed the statistical analyses, with guidance from GC, JWB, RS and MB. AT led the manuscript development, with support from GC and MB. All authors provided editorial support for the manuscript. AT is the guarantor, and accepts full responsibility for the overall content and conduct of the study, the access to the data, and the decision to publish.

Funding: The cost of the ATTA tests was funded in part by the McMaster University Department of Surgery.

Competing interests: AT, VA, GC and JWB report no conflicts of interest relating to this study. TM, RS and MB are affiliated with the McMaster University Department of Surgery but had no role in the assessment of any of the tests.

Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.

Provenance and peer review: Not commissioned; externally peer reviewed.

Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.

Data availability statement

Data are available upon reasonable request. Data from this study will be made available upon reasonable request.

Ethics statements

Patient consent for publication

Consent for participation in the semi-structured interviews was obtained directly from the participants.

Ethics approval

This study involves human participants and was approved by Hamilton Integrated Research Ethics Board Project #15178. Participants gave informed consent to participate in the study before taking part.

References

  • 1. Guilford JP, Lacey JI. Printed classification tests. US Government Printing Office, 1947. [Google Scholar]
  • 2. Chaparro A, Keebler JR, Lazzara EH, et al. Checklists: a review of their origins, benefits, and current uses as a cognitive aid in medicine. Ergonomics in Design 2019;27:21–6. 10.1177/1064804618819181 [DOI] [Google Scholar]
  • 3. Bourgeois-Bougrine S. What does creativity mean in safety-critical environments Front Psychol 2020;11:565884. 10.3389/fpsyg.2020.565884 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Gilson LL, Mathieu JE, Shalley CE, et al. Creativity and standardization: complementary or conflicting drivers of team effectiveness AMJ 2005;48:521–31. 10.5465/amj.2005.17407916 [DOI] [Google Scholar]
  • 5. Prado A, Andrades P. Creativity in plastic surgery. Aesthetic Plast Surg 2008;32:409–10. 10.1007/s00266-008-9137-7 [DOI] [PubMed] [Google Scholar]
  • 6. Gauderer MWL. Creativity and the surgeon. J Pediatr Surg 2009;44:13–20. 10.1016/j.jpedsurg.2008.10.006 [DOI] [PubMed] [Google Scholar]
  • 7. Hwang K. The artist’s creativity and the plastic surgeon’s creativity. J Craniofac Surg 2021;32:e845–6. 10.1097/SCS.0000000000007894 [DOI] [PubMed] [Google Scholar]
  • 8. Runco MA, Acar S. Divergent thinking as an indicator of creative potential. Creativity Research Journal 2012;24:66–75. 10.1080/10400419.2012.652929 [DOI] [Google Scholar]
  • 9. Sowden PT, Pringle A, Gabora L. The shifting sands of creative thinking: connections to dual-process theory. Thinking & Reasoning 2015;21:40–60. 10.1080/13546783.2014.885464 [DOI] [Google Scholar]
  • 10. Basadur M. Optimal Ideation-evaluation ratios. Creativity Research Journal 1995;8:63–75. 10.1207/s15326934crj0801_5 [DOI] [Google Scholar]
  • 11. Guilford JP. The nature of human intelligence. 1967. [Google Scholar]
  • 12. Palmiero M. Chapter 4 - the relationships between abstraction and creativity, in creativity and the wandering mind. Academic Press, 2020: 73–90. [Google Scholar]
  • 13. Plucker JA, Waitman GR, Hartley KA. Education and Creativity, in Encyclopedia of Creativity (Second Edition). San Diego: Academic Press, 2011: 435–40. [Google Scholar]
  • 14. Cramond B, Matthews-Morgan J, Bandalos D, et al. A report on the 40-year follow-up of the torrance tests of creative thinking. Gifted Child Quarterly 2005;49:283–91. 10.1177/001698620504900402 [DOI] [Google Scholar]
  • 15. Torrance EP. Predictive validity of the torrance tests of creative thinking. Journal of Creative Behavior 1972;6:236–62. 10.1002/j.2162-6057.1972.tb00936.x [DOI] [Google Scholar]
  • 16. Torrance EP. “Predicting the creativity of elementary school children (1958-80) —and the teacher who "made a difference"” Gifted Child Quarterly 1981;25:55–62. 10.1177/001698628102500203 [DOI] [Google Scholar]
  • 17. Yesikar V, Guleri S, Dixit S, et al. Intelligence quotient analysis and its association with academic performance of medical students. Int J Community Med Public Health 2015;2:275–81. 10.18203/2394-6040.ijcmph20150482 [DOI] [Google Scholar]
  • 18. Matarazzo JD, Goldstein SG. The intellectual caliber of medical students. Academic Medicine 1972;47:102–11. 10.1097/00001888-197202000-00004 [DOI] [PubMed] [Google Scholar]
  • 19. Miroshnik KG, Forthmann B, Karwowski M, et al. The relationship of divergent thinking with broad retrieval ability and processing speed: A meta-analysis. Intelligence 2023;98:101739. 10.1016/j.intell.2023.101739 [DOI] [Google Scholar]
  • 20. Elm E von, Altman DG, Egger M, et al. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. BMJ 2007;335:806–8. 10.1136/bmj.39335.541782.AD [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Thabane A, Busse JW, Sonnadara R, et al. Investigating divergent thinking and creative ability in Surgeons (IDEAS): a survey protocol. BMJ Open 2023;13:e069873. 10.1136/bmjopen-2022-069873 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Goff K. Abbreviated torrance test for adults, scholastic testing services. Inc. Bensenville, IL, 2002. [Google Scholar]
  • 23. Torrance E. Torrance tests of creative thinking. Princeton: Personnel Pres, 1966. [Google Scholar]
  • 24. Kim KH, Pierce RA. Creativity tests. In: Carayannis EG, ed. Encyclopedia of creativity, invention, innovation and entrepreneurship. New York, NY: Springer, 2013: 472–81. 10.1007/978-1-4614-3858-8 [DOI] [Google Scholar]
  • 25. Runco MA, Millar G, Acar S, et al. Torrance tests of creative thinking as predictors of personal and public achievement: a fifty-year follow-up. Creativity Research Journal 2010;22:361–8. 10.1080/10400419.2010.523393 [DOI] [Google Scholar]
  • 26. Althuizen N, Wierenga B, Rossiter J. The validity of two brief measures of creative ability. Creativity Research Journal 2010;22:53–61. 10.1080/10400410903579577 [DOI] [Google Scholar]
  • 27. Guest G, MacQueen KM, Namey EE. Applied thematic analysis. Thousand Oaks, California, United States: Sage, 2011. 10.4135/9781483384436 [DOI] [Google Scholar]
  • 28. Chun Tie Y, Birks M, Francis K. Grounded theory research: A design framework for novice researchers. SAGE Open Med 2019;7:2050312118822927. 10.1177/2050312118822927 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Goff K. Abbreviated Torrance test for adults: Manual. Scholastic Testing Service Bensenville, IL, 2002. [Google Scholar]
  • 30. Austin PC, Steyerberg EW. The number of subjects per variable required in linear regression analyses. J Clin Epidemiol 2015;68:627–36. 10.1016/j.jclinepi.2014.12.014 [DOI] [PubMed] [Google Scholar]
  • 31. Srplot. 2023. Available: https://www.bioinformatics.com.cn/en
  • 32. Norman GR, Sloan JA, Wyrwich KW. Interpretation of changes in health-related quality of life: the remarkable universality of half a standard deviation. Med Care 2003;41:582–92. 10.1097/01.MLR.0000062554.74615.4C [DOI] [PubMed] [Google Scholar]
  • 33. Anwar MN, Shamim-ur-Rasool S, Haq R. A comparison of creative thinking abilities of high and low Achievers secondary school students. International Interdisciplinary Journal of Education 2012;1:1–6. [Google Scholar]
  • 34. Awamleh H, Al Farah Y, El-Zraigat I. The level of creative abilities dimensions according to Torrance formal test (B) and their relationship with some variables (sex, age, GPA). IES 2012;5:138–48. 10.5539/ies.v5n6p138 [DOI] [Google Scholar]
  • 35. Barrantes-Vidal N, Caparrós B, Obiols JE. An exploratory study of sex differences in divergent thinking and creative personality among college subjects. Psychol Rep 1999;85(3_suppl):1164–6. 10.2466/pr0.1999.85.3f.1164 [DOI] [Google Scholar]
  • 36. Bart WM, Hokanson B, Sahin I, et al. An investigation of the gender differences in creative thinking abilities among 8th and 11th grade students. Thinking Skills and Creativity 2015;17:17–24. 10.1016/j.tsc.2015.03.003 [DOI] [Google Scholar]
  • 37. Matud MP, Rodríguez C, Grande J. Gender differences in creative thinking. Personality and Individual Differences 2007;43:1137–47. 10.1016/j.paid.2007.03.006 [DOI] [Google Scholar]
  • 38. Olive H. A note on sex differences in adolescents' divergent thinking. The Journal of Psychology 1972;82:39–42. 10.1080/00223980.1972.9916966 [DOI] [Google Scholar]
  • 39. SPSS Statistics (version 28). IBM. 2023.
  • 40. Koo TK, Li MY. A guideline of selecting and reporting Intraclass correlation coefficients for reliability research. J Chiropr Med 2016;15:155–63. 10.1016/j.jcm.2016.02.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Davis RA, Cunningham PS. Creative thought in neurosurgical research: the value of citation analysis. Neurosurgery 1990;26:345–53. [PubMed] [Google Scholar]
  • 42. Davis RA. Creativity in neurosurgical publications. Neurosurgery 1987;20:652–63. 10.1227/00006123-198704000-00028 [DOI] [PubMed] [Google Scholar]
  • 43. Barroso Alonso MP, Losa Iglesias ME, Becerro de Bengoa Vallejo R. The relationship between burnout and health professionals' creativity, method, and organization. Creat Nurs 2020;26:56–65. 10.1891/1078-4535.26.1.56 [DOI] [PubMed] [Google Scholar]
  • 44. Potur AA, Barkul Ö. Gender and creative thinking in education: A theoretical and experimental overview. A| Z ITU Journal of the Faculty of Architecture 2009;6:44–57. [Google Scholar]
  • 45. Stoltzfus G, Nibbelink BL, Vredenburg D, et al. Gender, gender role, and creativity. Soc Behav Personal 2011;39:425–32. 10.2224/sbp.2011.39.3.425 [DOI] [Google Scholar]
  • 46. Saeki N, Fan X, Van Dusen L. A comparative study of creative thinking of American and Japanese college students. Journal of Creative Behavior 2001;35:24–36. 10.1002/j.2162-6057.2001.tb01219.x [DOI] [Google Scholar]
  • 47. Acai A, Mahetaji K, Reid SE, et al. The role of gender in the decision to pursue a surgical career: a qualitative, interview-based study. Can Med Educ J 2020;11:e51–61. 10.36834/cmej.69292 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Stephens EH, Heisler CA, Temkin SM, et al. The current status of women in surgery: how to affect the future. JAMA Surg 2020;155:876–85. 10.1001/jamasurg.2020.0312 [DOI] [PubMed] [Google Scholar]
  • 49. Gerwig A, Miroshnik K, Forthmann B, et al. The relationship between intelligence and divergent thinking—A meta-analytic update. J Intell 2021;9:23. 10.3390/jintelligence9020023 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Batey M, Furnham A. Creativity, intelligence, and personality: a critical review of the scattered literature. Genet Soc Gen Psychol Monogr 2006;132:355–429. 10.3200/mono.132.4.355-430 [DOI] [PubMed] [Google Scholar]
  • 51. Appel JM. Against intelligence: rethinking criteria for medical school admissions. Camb Q Healthc Ethics 2023:1–6. 10.1017/S0963180122000755 [DOI] [PubMed] [Google Scholar]
  • 52. Laidra K, Pullmann H, Allik J. Personality and intelligence as predictors of academic achievement: a cross-sectional study from elementary to secondary school. Personality and Individual Differences 2007;42:441–51. 10.1016/j.paid.2006.08.001 [DOI] [Google Scholar]
  • 53. Shen W, Hommel B, Yuan Y, et al. Risk-taking and creativity: CONVERGENT, but not divergent thinking is better in low-risk takers. Creativity Research Journal 2018;30:224–31. 10.1080/10400419.2018.1446852 [DOI] [Google Scholar]
  • 54. Benedek M, Franz F, Heene M, et al. Differential effects of cognitive inhibition and intelligence on creativity. Pers Individ Dif 2012;53–334:480–5. 10.1016/j.paid.2012.04.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Silvia PJ. Creativity and intelligence revisited: a latent variable analysis of Wallach and Kogan. Creativity Research Journal 2008;20:34–9. 10.1080/10400410701841807 [DOI] [Google Scholar]
  • 56. Hoover SM. Scientific problem finding in gifted fifth‐grade students. Roeper Review 1994;16:156–9. 10.1080/02783199409553563 [DOI] [Google Scholar]
  • 57. Runco MA, Jaeger GJ. The standard definition of creativity. Creativity Research Journal 2012;24:92–6. 10.1080/10400419.2012.650092 [DOI] [Google Scholar]
  • 58. Plucker JA, Beghetto RA, Dow GT. Why isn't creativity more important to educational psychologists? potentials, pitfalls, and future directions in creativity research. Educational Psychologist 2004;39:83–96. 10.1207/s15326985ep3902_1 [DOI] [Google Scholar]
  • 59. Franzese CB, Stringer SP. The evolution of surgical training: perspectives on educational models from the past to the future. Otolaryngol Clin North Am 2007;40:1227–35, 10.1016/j.otc.2007.07.004 [DOI] [PubMed] [Google Scholar]
  • 60. MEDNICK SA. The associative basis of the creative process. Psychol Rev 1962;69:220–32.:220. 10.1037/h0048850 [DOI] [PubMed] [Google Scholar]
  • 61. Halpin G, Halpin G. The effect of motivation on creative thinking abilities. Journal of Creative Behavior 1973;7:51–3. 10.1002/j.2162-6057.1973.tb00946.x [DOI] [Google Scholar]

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Data Availability Statement

Data are available upon reasonable request. Data from this study will be made available upon reasonable request.


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