CC BY-NC-ND 4.0 · Journal of Academic Ophthalmology 2021; 13(02): e234-e241
DOI: 10.1055/s-0041-1740067
Research Article

Ophthalmic Microsurgery Lab for Medical Students: Enhancing Learner Intrinsic Motivation and Comfort with Microsurgery

1   University of California, San Francisco School of Medicine, San Francisco, California
,
Tiffany A. Chen
2   Department of Ophthalmology, University of California, San Francisco, California
,
Tessnim Ahmad
2   Department of Ophthalmology, University of California, San Francisco, California
,
Neeti Parikh
2   Department of Ophthalmology, University of California, San Francisco, California
› Author Affiliations
Funding This work was supported in part by a Research to Prevent Blindness unrestricted grant to the Department of Ophthalmology, University of California San Francisco. The Funding source had no involvement in the study design, collection, analysis, data interpretation, manuscript writing, or decision to publish.
 

Abstract

Objective This study aimed to evaluate the impact of an ophthalmic microsurgery laboratory on medical students' intrinsic motivation, explicit interest in ophthalmology, and comfort with microsurgical skills.

Design In this noncontrolled trial, medical students attended a Zoom-based lecture on corneal suturing, watched an instructional video on operating microscopes, and attended a wet laboratory on corneal suturing. Participants completed pre- and posttest surveys assessing comfort with microsurgical skills and explicit interest in ophthalmology. Additionally, the posttest survey included items from the Intrinsic Motivation Inventory (IMI).

Setting This study was conducted at a single academic medical center.

Participants A total of 20 students enrolled in the MD program at the University of California, San Francisco School of Medicine.

Results Pre- and posttest response rates were 100% (n = 20) and 90% (n = 18), respectively. Comfort with microsurgical skills increased significantly between pre- and posttest surveys with large effect sizes (95% confidence interval [CI]; p-value): loading a needle, 1.67 (1.04–2.29; p < 0.001); passing a suture, 1.72 (1.04–2.40; p < 0.001); knot tying, 1.05 (0.34–1.76; p = 0.004); using a microscope, 0.83 (0.04–1.63; p = 0.040); and suturing under a microscope, 1.44 (0.88–2.00; p < 0.001). Comparing pre- and posttest surveys, students reporting moderate to extreme interest in ophthalmology increased from 44 to 61%. Intrinsic motivation was high, indicated by the mean IMI Interest score reaching 93% of the maximum score. Multiple linear regression analyses predicted that IMI Interest scores increased with higher scores of familiarity (p = 0.002), explicit interest in ophthalmology (p = 0.042), and comfort with microscopes (p = 0.005), knot tying (p = 0.026), and performing surgical maneuvers under a microscope (p = 0.032).

Conclusion Ophthalmic microsurgery laboratories may increase medical students' explicit interest in ophthalmology, comfort with microsurgical skills, and intrinsic motivation. Future studies are needed to evaluate the impact of microsurgical electives on students' objective skills and specialty selection.


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The national supply of surgeons is projected to fall short of demand in 2025 with ophthalmology facing the greatest national-level physician shortage.[1] Furthermore, medical students have traditionally displayed low interest in ophthalmology with only 2.5 to 3.1% of medical school graduates preferring ophthalmology from 2005 to 2015.[2] A study on medical students' perception of ophthalmology showed that insufficient exposure was a predominant reason for not pursuing ophthalmology.[3]

Curricular time dedicated to ophthalmology in medical school has been declining; however, this decline has slowed and perhaps plateaued since 2014.[4] [5] A survey by the Association of University Professors of Ophthalmology (AUPO) Medical Student Educators' Council found that ophthalmology teaching is largely incorporated into preclinical coursework, most commonly through lectures, followed by skills training and problem-based learning.[4] Though all AUPO affiliated programs offered an ophthalmology elective, only a small percentage had a required elective.[4] Clinical electives may offer minimal to no hands-on experience with ophthalmic surgery. The current number of ophthalmology hours and teaching methods during medical school may be insufficient to stimulate interest in ophthalmology.

Exposing medical students to ophthalmology during their undergraduate medical education is a crucial step to increasing student interest in ophthalmology and potentially addressing the nation's pipeline of future surgeons. Increased exposure to operative procedures, surgical staff, and surgical simulation laboratories can increase students' procedural skills and desire for surgical careers.[6] [7] [8] [9] [10] [11] Integration of a wet laboratory into elective ophthalmology blocks or other parts of the medical school curriculum can result in positive evaluations by medical students, including increased interest in ophthalmology.[12] [13] While previous studies have investigated the effect of surgical exposure and simulation laboratories on career interest in surgical fields, including ophthalmology, to our knowledge, none have focused on assessing the effect of ophthalmic microsurgical simulation laboratories on intrinsic motivation grounded in the Self-Determination Theory (SDT).

The SDT is a theory of human motivation postulating that three basic psychological needs—competence, autonomy, and relatedness—have to be satisfied to grow or achieve intrinsic motivation.[14]

The purpose of this study is to evaluate the impact of an ophthalmic microsurgery laboratory on student intrinsic motivation and interest in ophthalmology, as well as comfort with microsurgery. We hypothesize that single-event exposure to laboratory-based ophthalmic microsurgery would increase medical students' intrinsic motivation, explicit career interest in ophthalmology, and comfort with performing basic ophthalmic microsurgical tasks.

Methods

This study was conducted in August 2020 at the University of California, San Francisco (UCSF) School of Medicine and approved by the UCSF Institutional Review Board. First- through third-year medical students were recruited on a first-come, first-serve basis using e-mail and Facebook posts on UCSF School of Medicine class pages. Fourth-year students were excluded as they had already chosen their subspecialty of interest.

Intervention Design

Participants attended a Zoom-based lecture facilitated by ophthalmology faculty as an introduction to microsurgery. The 25-minute lecture covered basic eye anatomy, ophthalmic microsurgical instruments, and corneal suturing. Prior to participating in the wet laboratory on corneal suturing, participants also watched a 5-minute instructional video on operating microscopes during which an ophthalmology faculty member and resident explained the basic microscope components that how to set the pupillary distance, focus and magnification, and appropriate use of the foot pedals.

Four microsurgery wet laboratory sessions were held. Each wet laboratory session accommodated only five students at a time to observe the novel coronavirus disease (COVID-19) precautions on social distancing. All students and instructors were required to pass a daily health screen within 4 hours of entering the wet laboratory and to wear personal protective equipment consisting of facemasks as per UCSF institutional policy. Ophthalmology residents and attending physicians were present to instruct participants during the workshop in a 5:3 student-to-educator ratio. During the 2-hour workshop, participants completed four progressively complex tasks in the following order: (1) macrosurgical suturing on a surgical sponge using a 5–0 prolene suture; (2) microscope setup, including setting the pupillary distance, practicing with the foot pedal, and adjusting focus and magnification; (3) three-dimensional (3D) task under the microscope (threading a standard sewing needle); and (4) microsurgical suturing under the microscope using 9–0 nylon sutures on a synthetic surgical simulation eye, PS-016 (Phillips Studio, Bristol, United Kingdom). The fourth task involved a linear corneal laceration in the simulation eye on which students practiced corneal suturing with interrupted sutures ([Fig. 1A–D]). The corneal suturing task consisted of four subtasks: loading a needle, passing a suture, tying a knot, and overall suturing under a microscope. Throughout the laboratory, supervising surgeons provided feedback and guidance to support students in completing these tasks.

Zoom Image
Fig. 1 Images of the wet laboratory's four progressively complex tasks. (A) Macrosurgical suturing on a surgical sponge using a 5–0 prolene suture, (B) microscope setup, (C) three-dimensional task under the microscope (threading a standard sewing needle), and (D) microsurgical suturing under the microscope using 9-0 nylon sutures on a synthetic surgical simulation eye with a corneal laceration (Phillips Studio, Bristol, United Kingdom).

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Data Collection Tools

Participants completed pre- and posttest surveys to collect data on baseline demographics, prior surgery-related activities, factors influencing specialty preference, comfort with surgical skills, and self-reported interest and familiarity with ophthalmology. Rating of factors influencing specialty preference, comfort with surgical skills, and self-reported interest and familiarity with ophthalmology used a 5-point Likert's scale where 1 = not at all important/interested, 2 = slightly important/interested, 3 = moderately important/interested, 4 = very important/interested, and 5 = extremely important/interested.

We adapted the validated Intrinsic Motivation Inventory (IMI) for inclusion into the posttest survey.[15] [16] The survey consisted of five subscales (interest, perceived competence, pressure, effort, and value) assessed through 20 question items. Participants answered each item using a 7-point Likert's scale where 1 = strongly disagree, 2 = disagree; 3 = somewhat disagree, 4 = neither agree nor disagree, 5 = somewhat agree, 6 = agree, and 7 = strongly agree.

In accordance with The American College of Surgeons, we defined surgery-related activities as those in one of the following 14 surgical specialties: (1) cardiothoracic surgery, (2) colon and rectal surgery, (3) general surgery, (4) gynecology and obstetrics, (5) gynecologic oncology, (6) neurological surgery, (7) ophthalmic surgery, (8) oral and maxillofacial surgery, (9) orthopaedic surgery, (10) otorhinolaryngology, (11) pediatric surgery, (12) plastic and maxillofacial surgery, (13) urology, and (14) vascular surgery.


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Outcomes

The primary outcomes were the posttest IMI Composite and Interest subscale scores and predictive regression analyses of the IMI Interest subscale score as the outcome variable. Secondary outcomes included the differences between pre- and post-test Likert's scores for specialty preference factors, self-reported familiarity and interest in ophthalmology, and comfort with basic microsurgical tasks (loading a needle, passing a suture, knot tying, and suturing under a microscope).


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Statistical Analyses

We performed data analysis using Stata Statistical Software: Release 14 (College Station, TX: StataCorp LP). We calculated the mean Likert's score for primary and secondary outcomes. Pre- and posttest effect sizes were assessed for significance with the paired Student's t-test (p < 0.05 was considered statistically significant) and nonparametric Mann–Whitney U-tests or Fischer's exact tests (for low incidences).

Predictive statistical analysis involved several simple linear regression analyses of the IMI Interest subscale score or the Composite IMI score as the outcome variable with all pre- and posttest measures as predictors. Furthermore, stepwise estimation was performed to select a multiple linear regression model using forward and backward stepwise selection of statistically significant predictor variables. This iterative process starts with a model of the IMI Interest subscale score as the outcome variable and all predictor variables check the significance of each predictor variable and add or remove one predictor variable with the least significance each time, until all the remaining variables are statistically significant (p < 0.0750).


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Results

Twenty medical students at the UCSF were selected on a first-come, first-serve basis in August 2020. Eighteen participants completed the pre- and posttest surveys (response rate, 90%); two participants were excluded because of incomplete posttest surveys. The study population consisted of 1 first-year student, 10 second-year students, 4 third-year students, and 3 students in the MD-PhD program.

Prior Exposure/Experience in Ophthalmology

[Fig. 2] shows participants' prior nonophthalmology surgery-related activities (i.e., other surgical subspecialties) and ophthalmology-related activities. Of the participants, 15 (83%) reported having participated in at least one nonophthalmology surgery-related activity with clinical shadowing as the most frequently reported experience (n = 12, 67% of students). Eleven participants (61%) reported having participated in at least one ophthalmology-related activity, with didactics and clinical shadowing being the most frequently reported activities (n = 9, 50% of students for both).

Zoom Image
Fig. 2 Distribution of prior surgery-related activities in ophthalmology and other surgical subspecialties. We defined surgery-related activities as activities in one of the following 13 surgical specialties, excluding ophthalmology: cardiothoracic surgery, colon and rectal surgery, general surgery, gynecology and obstetrics, gynecologic oncology, neurological surgery, oral and maxillofacial surgery, orthopaedic surgery, otorhinolaryngology, pediatric surgery, plastic and maxillofacial surgery, urology, and vascular surgery.

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Specialty Preference

At baseline, 14 participants (78%) reported a surgical specialty as their highest ranked career preference with the following specialties cited most frequently (count, percentage of the 14 responses): ophthalmology (n = 6, 43%); neurosurgery (n = 3, 21%); and general surgery (n = 2, 14%).

Participants also reported the influence of procedural skills, intellectual challenge, and patient relationships on their specialty preference. On both pre- and posttest surveys, 78% of participants reported that procedural skills were “very to extremely important” in influencing specialty preference, while 17% of participants reported that procedural skills were “not at all important.” Mean Likert's scores for the influence of procedural skill were identical between pre- and posttest surveys (mean = 4; 95% confidence interval [CI]: 3.46–4.54; p = 1.000. Mann–Whitney test showed no statistically significant difference between pre- and posttest responses in the underlying distributions of Likert's scores for procedural skills as an influence on specialty preference (p = 1.000).

All participants reported that intellectual challenge was “moderately important” to “extremely important” in specialty preference. There was no statistically significant difference in mean Likert's scores for intellectual challenge between pre- and posttests (p = 1.000) or the distribution of Likert's scores (p = 0.958). Seventy-eight percent of participants reported that patient relationships were “very important” or “extremely important” in specialty choice on both pre- and posttest surveys. There was no statistically significant difference between pre- and posttest mean Likert's scores for patient relationship (p = 0.680) or the distribution of Likert's scores (p = 0.888).


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Familiarity and Interest in Ophthalmology

Between pre- and posttest surveys, the percentage of participants reporting to be “not at all familiar” to “slightly familiar” with ophthalmology as a career declined from 61 to 12%, while the percentage of “moderately familiar” to “extremely familiar” increased from 38 to 55% ([Fig. 3A]). However, there were no statistically significant differences in mean Likert's scores (p = 0.131) or the distribution of responses (p = 0.153). Similarly, students reporting to be “moderately interested” to “extremely interested” in ophthalmology increased from 44 to 61%, without statistical significance (p = 0.689; [Fig. 3B]).

Zoom Image
Fig. 3 (A) How familiar are you with ophthalmology as a career? (B) How interested are you in ophthalmology as a career?

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Comfort with Ophthalmic Microsurgery Surgical Skills

Comfort with ophthalmic surgical skills significantly increased between pre- and posttest surveys for all five skills based on mean Likert's scores with the greatest increase observed in comfort with passing a suture, 1.72 (1.04–2.49; p < 0.001; [Table 1]).

Table 1

Pre- and posttest mean Likert's scores for comfort with microsurgical skills

Microsurgical skill

Pretest mean Likert's score (SD)

Posttest mean Likert's score (SD)

Effect size (95% CI)

p-Value

Loading a needle

1.83 (0.85)

3.50 (0.98)

1.66 (1.04–2.20)

<0.001

Passing a suture

1.55 (0.85)

3.27 (1.12)

1.72 (1.04–2.40)

<0.001

Knot tying

1.94 (0.80)

3.00 (1.23)

1.05 (0.34–1.76)

0.005

Using a microscope

2.61 (1.28)

3.44 (1.04)

0.83 (0.04–1.62)

0.040

Suturing under a microscope

1.50 (0.85)

2.94 (0.80)

1.44 (0.88–2.00)

<0.001

Abbreviations: CI, confidence interval; SD, standard deviation.



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Intrinsic Motivation Inventory Scores

We used the IMI scores to determine whether the microsurgical training influenced students' intrinsic motivation. The Interest subscale, which is considered the self-reported measure of intrinsic motivation, demonstrated the largest mean (standard deviation) score of 19.44 (1.88), reaching 93% of the maximum possible score ([Table 2]).

Table 2

Posttest intrinsic motivation scores

Intrinsic motivation inventory subscales

Mean (SD)

Minimum

Maximum

Highest possible score

Percentage of highest possible score (%)

Interest score

19.44 (1.88)

16

21

21

92.57

Effort score

11.66 (1.94)

7

14

14

83.28

Pressure score

10.61 (3.82)

3

18

21

50.52

Value score

18.22 (2.75)

13

21

21

86.76

Competence score

18.50 (5.18)

8

27

28

66.07

Composite score

78.44 (8.15)

66

89

105

74.70

Abbreviation: SD, standard deviation.



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Predictive Regression Analyses

To explore the relationship between IMI Composite scores with predictor variables, we performed simple and multiple linear regressions which demonstrated that composite IMI scores increased with improved posttest Likert's scores of comfort with loading a needle (B = 2.86 [CI: 0.39–5.32]; p = 0.026) and explicit interest in ophthalmology (2.78 [−0.46 to 6.03]; p = 0.088). Forward and backward stepwise regressions generated similar findings.

Given that the IMI Interest subscale is the most direct measure of intrinsic motivation, we also explored its relationship with predictor variables. Our analyses revealed that the Interest IMI subscale increased significantly with five independent factors ([Table 3]; p = 0.005). Approximately 82% of the variability in Interest subscale scores was accounted for by the variables in the model.

Table 3

Results of stepwise linear regression analyses with IMI interest subscale score as the outcome variable

Predictor variable

B (95% CI)[b]

p-Value[a]

Comfort with using microscope, posttest

1.17 (0.40–1.9)

0.005

Knot tying skills, pretest

1.76 (0.26–3.2)

0.026

Familiarity with ophthalmology, posttest

2.36 (1.10–3.6)

0.002

Comfort with performing surgical maneuvers under a microscope, pretest

1.25 (0.13–2.4)

0.032

Interest in ophthalmology, pretest

0.97 (0.04–1.90)

0.042

Abbreviations: CI, confidence interval; IMI, Intrinsic Motivation Inventory.


a p-Values show the significance of the predictive value of each independent variable on the different outcome variables.


b B values are unstandardized regression coefficients that indicate the amount of change one could expect in IMI interest score given a one-unit change in the value of that variable all other variables in the model are held constant.



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Discussion

Previous studies have investigated the effect of surgical exposure and simulation laboratories on career interest in surgical fields, including ophthalmology, though, to our knowledge, none have assessed the effect of ophthalmic microsurgical simulation laboratories on intrinsic motivation. In our study, we administered the IMI tool, which is validated for assessing participants' subjective experience of an intervention, and which has been used in studies on intrinsic motivation across disciplines, including clinical education.[17] [18]

Our study demonstrated that a single ophthalmic microsurgery laboratory may increase students' intrinsic motivation, comfort with microsurgical tasks, and explicit familiarity with and interest in ophthalmology. Using the IMI scores as dependent measures for the purpose of prediction, we observe that students with high scores for comfort with microscopes, familiarity with ophthalmology, comfort with loading a needle, and explicit interest in ophthalmology are more likely to report higher intrinsic motivation. Out of the five measured subscales, the Interest subscale had the largest absolute value and percentage of maximum value, while the pressure subscale displayed the lowest absolute value and percentage. The Interest subscale assesses interest and inherent pleasure when performing a specific activity and is the most direct measure of intrinsic motivation.[19] The value subscale refers to internalization in which the person identifies with the value of an experience and develops self-regulatory activities. The Effort subscale assesses the individual's investment of their capacities into the activity.[19] [20] Finally, studies have shown pressure to be a negative predictor of intrinsic motivation.[19] [21] Thus, a significantly high Interest subscale would result if the positive predictors are high and the negative predictors are low which is observed in our study.

Furthermore, perceived competence is theorized to be a positive predictor of intrinsic motivation. Our participants' perceived competence scores averaged to 66% of the maximum scores, which correlates with their increasing, yet moderate level of comfort with several subtasks of the intervention. Studies have shown that increased perceived competence and interest within an autonomous supportive learning climate predicted specialty choice.[22] Our study participants reported high absolute values and percentage of maximum value for Interest and Value subscales, suggesting that their likelihood of pursuing ophthalmology-related activities may have increased; however, future monitoring is needed to validate this prediction.

Our predictive statistical analyses show that both multiple and linear regression models were significant, indicating that the overall models were significant. The variability in Interest subscale scores was mostly accounted for by the predictor variables. This suggests that increasing posttest comfort with microscopes and familiarity with ophthalmology and increasing pretest comfort with surgical maneuvers under a microscope, knot tying skills, and interest in ophthalmology could augment intrinsic motivation. Comfort with microscopes may be an important factor of intrinsic motivation for ophthalmology. The ability to integrate detailed visual information with fine manual dexterity using stereovision under a microscope is critical to ophthalmic microsurgery. Thus, it is plausible that increased comfort with the microscope positively predicts interest in ophthalmology. Studies show that stereoscopic depth perception is advantageous when initially learning to perform surgical skills under an operating microscope and that poor hand–eye coordination was the most common problem for ophthalmology residents failing to develop sufficient quality surgical skills.[23] [24] As such, early exposure to the microsurgery laboratory may allow students to determine if they are a good fit for subspecialties like ophthalmology.

The implications of this 120-minute laboratory are considerable, suggesting that single-event activities can bolster student interest, comfort, and intrinsic motivation. The application of SDT and intrinsic motivation to medical education has generated evidence across numerous domains to guide curriculum design and elucidate learning processes in clinical education settings.[18] [25] Intrinsic motivation is an important aspect to consider when designing medical student experiences, particularly for ophthalmology exposure, because it is associated with increased deep learning, perseverance, well-being, specialty interest, and likelihood of specialty selection.[14] [22] [26] [27] [28] [29] [30] [31] Studies have shown that single-event surgery laboratories for medical students can increase interest in surgery alongside competence in surgical-suturing techniques and advanced surgical procedures.[6] [8] Several single-event ophthalmology laboratories may be logistically easier to implement than clinical electives which afford opportunities to counteract the national trend of ophthalmology education shifting to preclinical years[5] by offering longitudinal integrated clinical years. Studies on microsurgical training for medical students have shown that several regularly interspersed training sessions can improve skill acquisition.[32] [33]

Strengths and Limitations

Strengths of our study included a high response rate, anonymous surveys, robust statistical analysis, and a well-crafted wet-laboratory course. There are several limitations to this study. Our sample size was limited by COVID-19 public health precautions, number of operating microscopes, short intervention duration, and desired learner-to-educator ratio. A selection bias may have arisen as students who volunteered to participate may have baseline characteristics that distinguish them from nonparticipants such as greater interest in ophthalmology or other surgical subspecialties, motivation by relationships with the research team, prior ophthalmology experience, or in need of suturing skills practice to prepare for surgery rotations. Selection bias relating to the recruitment process may have also occurred as we recruited participants via e-mail and Facebook posts which is biased against individuals with limited access to Facebook, e-mail, or the internet. Random selection of participants and a multimodal recruitment process could have mitigated the distortion of our study's effect size and confidence intervals. This would also help increase our sample size and medical student participation.

Regarding the surveys, the pretest survey did not include detailed questions on the exact frequency, length, type, or extent of involvement in surgical experiences which may have impacted participants' comfort. Additionally, the study's primary outcomes exclusively involved subjective measures. Inclusion of objective measures in future studies to determine the effects of ophthalmic microsurgical training on skill building is warranted. Furthermore, nonuse of procedural skills risks decay; hence, it is important to consider more prolonged and frequent microsurgical simulation experiences. Heterogeneity in teaching styles among resident and attending ophthalmologists could have impacted the social context in which each participant completed the training, thereby affecting each student's subjective self-assessment. Lastly, this study did not afford long-term follow-up to determine the effect on students' pursuit of ophthalmology experiences and residency selection. Further studies with larger sample sizes and multisession interventions should be conducted using randomization and the development of objective measures to assess the effectiveness of ophthalmic wet laboratories on intrinsic motivation, microsurgical skills, and pursuit of ophthalmology, including monitoring of residency selection outcomes.


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Conclusion

Ophthalmic microsurgery laboratories for medical students can result in high intrinsic motivation, increased explicit interest in ophthalmology, and comfort with basic ophthalmic surgical tasks.

Incorporating ophthalmic microsurgery wet laboratories, with an emphasis on basic microscope competence into preclinical ophthalmologic teaching, longitudinal electives, or extracurricular opportunities could increase engagement, understanding, and interest in ophthalmology as a career.


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Conflict of Interest

None declared.

Competencies

Patient Care and Procedural Skills, Medical Knowledge.


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Address for correspondence

Neeti Parikh, MD
Department of Ophthalmology, Wayne and Gladys Valley Center for Vision, University of California
Box 4081, 490 Illinois Street, Floor 5, San Francisco, CA 94143

Publication History

Received: 13 April 2021

Accepted: 19 August 2021

Article published online:
11 December 2021

© 2021. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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Fig. 1 Images of the wet laboratory's four progressively complex tasks. (A) Macrosurgical suturing on a surgical sponge using a 5–0 prolene suture, (B) microscope setup, (C) three-dimensional task under the microscope (threading a standard sewing needle), and (D) microsurgical suturing under the microscope using 9-0 nylon sutures on a synthetic surgical simulation eye with a corneal laceration (Phillips Studio, Bristol, United Kingdom).
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Fig. 2 Distribution of prior surgery-related activities in ophthalmology and other surgical subspecialties. We defined surgery-related activities as activities in one of the following 13 surgical specialties, excluding ophthalmology: cardiothoracic surgery, colon and rectal surgery, general surgery, gynecology and obstetrics, gynecologic oncology, neurological surgery, oral and maxillofacial surgery, orthopaedic surgery, otorhinolaryngology, pediatric surgery, plastic and maxillofacial surgery, urology, and vascular surgery.
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Fig. 3 (A) How familiar are you with ophthalmology as a career? (B) How interested are you in ophthalmology as a career?