Open access
Research Article
16 January 2023

Simulating Ovariohysterectomy: What Type of Practice Promotes Short- and Long-Term Skills Retention?

Publication: Journal of Veterinary Medical Education
Volume 51, Number 1

Abstract

Simulation-based surgical training allows students to learn skills through deliberate practice without the patient risk and stress of operating on a live animal. This study sought to determine the ideal distribution of training sessions to improve short- and long-term retention of the skills necessary to perform a simulated ovariohysterectomy (OVH). Fourth-semester students (n = 102) were enrolled. Students in the weekly instruction group (n = 57) completed 10 hours of training on the OVH simulator, with sessions held at approximately weekly intervals. Students in the monthly instruction group (n = 45) completed the same training with approximately monthly sessions. All students were assessed 1 week (short-term retention test) and 5 months following the last training session (long-term retention test). Students in the weekly instruction group scored higher on their short-term assessment than students in the monthly instruction group (p < .001). However, students’ scores in the weekly instruction group underwent a significant decrease between their short- and long-term assessments (p < .001), while the monthly group did not experience a decrease in scores (p < .001). There was no difference in long-term assessment scores between weekly and monthly instruction groups. These findings suggest that if educators are seeking maximal performance at a single time point, scheduling instructional sessions on a weekly basis prior to that time would be superior to monthly sessions, but if educators are concerned with long-term retention of skills, scheduling sessions on either a weekly or monthly basis would accomplish that purpose.

Introduction

Veterinary surgical skills training has evolved dramatically over the last decade with the widespread adoption of simulation-based training. Simulation-based surgical training offers numerous advantages to training on either cadaver or live, anesthetized animals. Learning surgery on cadavers is suboptimal because of the expense and ethical issues surrounding obtaining, storing, and disposing of the cadavers, and due to cadavers experiencing autolysis, rigor, and lack of perfusion.1,2 Learning surgery on live, anesthetized animals requires obtaining and caring for the animals, ensuring animal welfare while a novice surgeon is learning a technique they have not previously performed, placing students in a high-stress environment for learning, and in non-survival surgeries, requiring faculty and students to face the emotional and ethical struggle inherent in euthanizing an otherwise healthy animal. Simulation-based veterinary surgical training has proven to be superior to training on cadavers3,4 or live animals5 in several studies, while other studies have reported similar learning outcomes.6,7 Simulation-based training allows students to learn, practice, and be assessed on their surgical skills prior to entering the operating theater, which can replace the need for non-survival surgeries, reduce the number of animals needed for surgical training, and refine students’ skills prior to live animal surgery, fulfilling Russel and Burch’s three Rs of animal use.8
Surgical skills are learned through deliberate practice, defined as repetitive skills practice with rigorous assessment, meaningful and specific feedback, and a progressive increase in difficulty level, resulting in cumulative improvement in skills performance.9,10 Most veterinary schools begin teaching students to perform surgery on models as a means of facilitating repetitive practice, assessment, and feedback. Research supports creating a surgical skills curriculum consisting of multiple skills practice opportunities beginning early in the veterinary curriculum, with faculty providing supervision and feedback.11 Research in skills training has demonstrated that distributed or spaced instruction results in better retention of skills than massed instruction.1215 However, the optimum distribution of surgical skills training sessions through a veterinary student’s education has not been established. This study sought to compare the short- and long-term learning outcomes between two methods of scheduling clinical skills laboratory sessions teaching the skills to perform an ovariohysterectomy (OVH): condensed into approximately weekly sessions versus distributed over approximately monthly sessions.

Methods

This study was reviewed and deemed exempt by the Institutional Review Board at Lincoln Memorial University (LMU, #829 V.0).
A convenience sample of fourth-semester (second-year) veterinary students (n = 57) was enrolled during the spring of 2021, and another cohort of fourth-semester students (n = 45) was enrolled in the spring of 2022. Prior to the study, all students had successfully completed three semesters of clinical skills training, which included surgical skills laboratory sessions in instrument handling, knot tying, and suturing. Each laboratory session was 2–3 hours in duration, for a total of 27 hours of laboratory instruction in surgical skills during the first 3 semesters (Appendix 1). All laboratory sessions were supervised by faculty at an approximately one-to-eight instructor-to-student ratio. Students’ skills had been assessed in the first 3 semesters using an in-lab assessment of student skills in each surgical skills laboratory session, and on three objective structured clinical examinations (OSCEs), which occurred at the end of semesters 1–3 and contained several surgical skills stations each semester. Students failing to meet minimum expectations (passing 70% of stations) on an OSCE were required to retake and pass a remediation OSCE to progress in the curriculum.
Once enrolled in the study, students participated in their fourth semester of surgical skills training, including learning aseptic techniques and skills to perform an OVH on the LMUterus OVH model (Figure 1). The model consisted of a wood and polyvinylchloride (PVC) base covered by a three-layer silicone and foam outer covering with a reproductive tract made of long, thin balloons. The use of this model in training and assessing veterinary students has been validated in a previous study, which demonstrated that students’ performance scores on the model were moderately correlated with students’ performance scores and moderately negatively correlated with surgical time on students’ first live canine OVH.16 This model allowed students to repetitively practice OVH on a single model, which would not be possible on a live animal or cadaver. The model’s replacement reproductive tract costs less than one US dollar. Additionally, the models do not require as much storage space as a cadaver, can be stored on a shelf rather than requiring refrigerator or freezer space, and do not decay or undergo rigor. Students participated in laboratory sessions of 2–3 hours in duration during their fourth semester, for a total of 22 hours of laboratory instruction in surgical skills including 10 hours spent on the OVH model specifically (Appendix 1). OVH model laboratory sessions required each student to gown and glove, drape their patient, and perform a complete OVH on the model while maintaining asepsis. Students worked in pairs and took turns being the primary surgeon and the assistant surgeon. Students were supervised by the same group of faculty at an approximately one-to-eight instructor-to-student ratio.
Figure 1: (A) The LMUterus ovariohysterectomy model with a three-layer closure pad which can be rotated for repetitive use; (B) the reproductive tract (blue latex) has ovaries simulated by knots; a modified three-clamp technique has been applied to the ovarian pedicle
Students enrolled in the weekly instruction group during 2021 completed their four model OVH training sessions over an approximately 3-week period and completed their mock OVH assessment during the fourth week. Students enrolled in the 2022 monthly instruction group participated in four model OVH training sessions spread over approximately 13 weeks with the mock OVH assessment during the fourteenth week. Students were sent home with an OVH model and encouraged to practice their skills at home outside of scheduled laboratory time. At each of the OVH instruction labs, students electronically reported how many practice hours they spent on their model in between laboratory sessions using their assigned audience response devices (Turning Technologies, Youngstown, OH) so that this factor could be considered in data analysis. Students also reported the number of hours they practiced between their final laboratory session and their assessment. Missing practice hours were replaced with the class median.
Each student’s skills were assessed twice on a mock OVH model, performed in front of a trained faculty rater. The short-term skills retention assessment took place in the spring, 1 week following the completion of their series of OVH training sessions. The long-term skills retention assessment took place in the fall, 5 months following the initial assessment. Students were required to perform the mock OVH while observing aseptic technique and were scored on a 22-point rubric, previously validated,16 that scores student performance on each step on a 0- to 3-point scale where an excellent performance is awarded 3 points, a good performance 2 points, a borderline performance 1 point, and a poor performance 0 points (Appendix 2). The maximum possible score was 66 points. Raters had previously agreed to create pass/fail criteria rather than rely on a cut score, as some individual rubric items, if botched, were considered serious enough to serve as a remediation trigger alone. Students were required to remediate if they made an error that was deemed grievous enough to pose a significant risk of harm or surgical complication to a live patient (e.g., unsafe entry to the abdomen, two or more loose ligatures, inadequate body wall closure, one major but uncorrected breach of asepsis). Students were also required to remediate if they made several smaller errors that, taken together, demonstrated sloppy or insufficiently polished surgical technique. Students were required to pass the first mock OVH assessment, or a remediation assessment, to progress in their curriculum.
All were LMU faculty who were either specialty-trained surgeons or general practice veterinarians who had over 5 years of surgical experience. All raters were taught in the mock OVH teaching laboratory sessions. Raters had been performing the mock OVH assessment for several years, and raters had met several times over the preceding years to discuss how to score student performances using the rubric. A previous study of the OVH model and rubric demonstrated that the same group of raters produced scores with good to excellent internal consistency (Cronbach’s alpha 0.83–0.95) and fair inter-rater reliability (intraclass correlation coefficient 0.43).16 Students were assessed by a single rater for each skills assessment. Raters used students’ audience response devices to report their scores to prevent errors in data collection and analysis.

Statistical Methods

Students’ total rubric scores on the short- and long-term retention assessments were visually assessed for normality using Q-Q normality plots and approximated a normal distribution. These scores were described using mean and standard deviation and were compared between groups using a two-way mixed ANOVA with one within-subjects factor (time of evaluation) and one between-groups factor (group). The sphericity assumption of the ANOVA was not met, so the Greenhouse-Geisser correction was used. Eta squared was used as a measurement of effect size. Eta squared values of .01 can be considered a small effect size, .06 a medium effect size, and .014 a large effect size. The reliability of rubric scores was assessed using Cronbach’s alpha as a measure of internal consistency. Assessment passing rates were compared between groups using Chi-square. Students’ practice hours outside of laboratory sessions in the spring were visually assessed for normality using a Q-Q plot and found to be not normal in distribution. Student practice hours were described using median and interquartile range and compared between groups using a Mann–Whitney U test. Significance was set at .05, and all analyses were run in SPSS Statistical Package for Social Sciences version 28 (IBM, Armonk, New York).

Results

Previous Surgical Skills Assessment

Students in the weekly instructional group had completed two surgical skills stations on their last OSCE, while students in the monthly instructional group had performed three surgical skills stations. Students in the weekly group passed 83.3% of their surgical skills OSCE stations, which exactly matched the passing scores of monthly group students (83.3%). This demonstrated the equivalence of the groups’ surgical skills at the end of the preceding semester.

Mock Ovariohysterectomy Skills Assessment

Overall, students achieved higher mean total rubric scores on the short-term retention assessment (mean = 51.5, standard deviation = 8.4) than they did on the long-term retention assessment (M = 45.6, SD = 7.8; F[1, 1] = 22.9, p < .001, η2 = .19). There was no difference in total rubric scores between the weekly and monthly instruction groups (F[1,1] = .54, p = .47, η2 = .055). However, there was a significant interaction between the time of assessment and group allocation (F[1,1] = 12.2, p < .001, η2 = .11; Figure 2). Specifically, students in the weekly instruction group achieved higher scores on their short-term retention assessment (short-term weekly M = 53.6, SD = 8.8) than students in the monthly instruction group (short-term monthly M = 48.4, SD = 7.3). However, students’ scores in the weekly instruction group underwent a significant decrease between their short- and long-term retention assessments (short-term weekly M = 53.6, SD = 8.8; long-term weekly M = 44.2, SD = 6.8), whereas the monthly group did not experience a decrease in scores between short- and long-term retention assessments (short-term monthly M = 48.4, SD = 7.3; long-term monthly M = 47.4, SD = 7.9). There was no difference in long-term retention assessment scores between weekly and monthly instruction groups. Cronbach’s alpha was .95 for the short-term retention assessment in 2021, .83 for the long-term retention assessment in 2021, .85 for the short-term retention assessment in 2022, and .90 for the long-term retention assessment in 2022; these values were all in the good (.81 to .90) or excellent (.91 to 1) range.17
Figure 2: Students’ mean rubric scores on the spring and fall assessments; asterisks mark one pair of significantly different scores, and plus signs mark a second pair of significantly different scores
Fifty-two out of 57 (91%) of the students in the weekly instruction group passed their short-term retention assessment, while 35 of 45 (78%) students in the monthly instruction group passed; this difference approached but did not reach statistical significance (p = .057). There was no significant difference between the number of students who passed their long-term retention assessment in the weekly group (40/57, 70%) as compared with the monthly group (36/45, 80%; p = .26).
There was no significant difference in the number of practice hours spent outside of scheduled OVH laboratory sessions between the weekly instruction group (median = 7, IQR = 4.75) and the monthly instruction group (m = 6, IQR = 4.5; p = .27).

Discussion

Worldwide, simulation-based training has become an important component of teaching veterinary students to perform surgery. Numerous studies have validated veterinary surgical skills simulators4,16,1824 and evaluated how best to teach surgical skills using them,11,2529 but the optimal arrangement of surgical skills training sessions within a veterinary curriculum remains ill-defined. The end goal of any surgical training program should be to produce practitioners who are competent long term; initial learning is worth little if it is not retained and applied to subsequent surgeries. Studies have demonstrated that skills requiring accuracy and skills that students initially must work harder to learn are most subject to decay over time.30,31 Surgical skills fall into this category, and as a result, require practice on a regular basis in order to maintain.26,32
At the short-term retention assessment 1 week after the final training session, students in both groups performed well, with 78%–91% of students receiving passing scores; this offers additional evidence supporting the use of the OVH model in teaching. The weekly instruction group, who practiced their skills in four supervised laboratory sessions at approximately weekly intervals, outperformed students in the monthly instruction group, who practiced their skills in the same four supervised laboratory sessions at approximately monthly intervals. This finding is similar to that of Shea and Morgan, who demonstrated that motor skills retention was initially superior when subjects practiced the task in a massed fashion rather than practicing the task distributed between other tasks but still within the same day.33 However, condensing training into very short, intense blocks has not always proven to be superior for the short-term retention of skills. A study in human medical surgical education demonstrated equivalence between massed (within 1 day) and distributed (weekly) instruction groups at a short-term retention test.15 Overall, our findings suggest that if educators are seeking students’ peak surgical performance on a given day (e.g., maximum short-term retention), massed skills training sessions in the preceding week(s) may be better than distributing skills training sessions over several months prior. For example, if students are getting ready to perform their first live surgery, and maximum skill is desired for that surgery, our findings suggest that students should have several practice sessions on an approximately weekly basis leading up to that surgery.
At the retention test 5 months after the final training session, students in the weekly instruction group experienced a significant drop in their skills, unlike the monthly instruction group, which retained their initial performance level. However, because the skill of the weekly group was initially higher than the monthly group, the two groups performed similarly at the retention test. This finding adds to the findings of Moulton et al. who studied surgical residents in human health care being taught microvascular anastomosis in sessions that were either massed within 1 day or delivered on a weekly basis.15 Moulton et al. reported that the weekly training group performed better than the group taught entirely within 1 day, both upon their retention test 1 month following training and in task transfer to anastomosis in a live rat. Our findings, combined with those of Moulton et al., suggest that for long-term retention of surgical skills, weekly or monthly sessions are superior to scheduling multiple sessions within a single day.
Several educational theories explain why students taught in distributed instructional sessions practice should out-perform those taught in massed sessions. Stimulus Sampling Theory, as proposed by Estes, suggests that spaced sessions are inherently more variable in stimulus or context, and that learning increases due to this variability between sessions.34,35 Hintzman proposed the inattention theory, which states that when the space between sessions is short, normal processing of information is attenuated.36 A cluster of study-phase retrieval theories suggest that the act of retrieving the memory of the first training session during the second training session results in more durable learning.3739 Subsequently, Benjamin and Tullis added the reminding model, which posits that retrieving a memory after a higher degree of forgetting (i.e., after a longer duration) enhances the memory more than retrieving it after a lower degree of forgetting (i.e., a shorter duration).40 They propose that if the space between sessions is too long, then learners will forget too much and be unlikely to be reminded adequately of what they once knew, and if the space between sessions is too short, then learners have not forgotten enough, and the act of reminding will not be valuable. Additional research is necessary to quantify for veterinary surgical skills what is the ideal spacing of sessions that results in the optimal degree of forgetting; our research has suggested that weekly sessions and monthly sessions were similarly effective at imparting long-term retention of skills.
Students in the weekly and monthly instruction groups completed a similar number of hours of practice outside of scheduled laboratory sessions. This suggests that regardless of the scheduling of laboratory sessions, students complete a similar amount of practice outside of scheduled sessions to feel that they have reached the level of competence necessary to pass their assessment. In both groups, most of the practice hours were spent shortly before the assessment, as would be expected for students taking any examination or assessment. Veterinary students can be considered elite performers,41 and they will do what is necessary to reach competence prior to assessment, regardless of the scheduling structure of their training sessions. A total of 78%–91% of students (depending on group) passed their initial mock OVH assessment, indicating that most students will pass without the need for remediation or additional practice. However, after 5 months elapsed, more students dropped below the passing threshold; at that time, only 70%–80% of students passed their assessment. This reiterates previous research that demonstrated that students experience a significant loss of surgical skills when they have a break from training.26

Limitations and Future Research

This study utilized 2 years’ worth of veterinary students, enrolling one cohort in the weekly group and one cohort in the monthly group. While the curriculum was unchanged except for the scheduling of sessions, there is always a chance of minor differences in the teaching between groups in two subsequent years. Subsequently performing a similar study that enrolls students in a crossover design would help to limit this potential source of error. This study enrolled only two groups with laboratory sessions given approximately weekly and approximately monthly, respectively. It is possible that the ideal method of scheduling sessions is neither weekly nor monthly but is something different altogether. Additional studies are necessary to further clarify the ideal distribution of simulation-based veterinary surgical training sessions. Students in this study were evaluated on only one surgical procedure, OVH on a single model; additional research would be necessary to clarify how our findings generalize to other surgical skills and procedures. Assessing global surgical competence in students would ideally include multiple assessments of each student performing numerous surgical procedures. Finally, inter-rater reliability for this group of raters on this assessment, as reported previously, was fair when assessed using the intraclass correlation coefficient.16 This indicates that there was some degree of error resulting from raters’ judgments about student performances. Obtaining good or excellent inter-rater reliability can be challenging; devoting additional time to rater training may be beneficial in accomplishing this.

Conclusions

Veterinary students can be taught to perform a simulated OVH using weekly or monthly training sessions. The weekly instruction group had higher rubric scores on the short-term retention test, but this group also suffered a significant loss in performance by the time of the long-term retention test 5 months later. The monthly instruction group had lower rubric scores than the weekly instruction group on the short-term retention test, but the monthly group did not experience a significant loss in performance at the long-term retention test, rendering both groups approximately equivalent at that time. Our findings suggest that if educators are seeking maximal performance on a single time point (e.g., maximum short-term retention), scheduling instructional sessions on a weekly basis prior to that time would be ideal, but if educators are more concerned with long-term retention of skills, scheduling sessions either on a weekly or monthly basis would accomplish that purpose.

References

1.
Jennings P. Alternatives to the use of living animals in the student surgery laboratory. J Vet Med Educ. 1986;13:14–5.
2.
Carpenter L, Piermattei D, Salman M, et al. A comparison of surgical training with live anesthetized dogs and cadavers. Vet Surg. 1991;20(6):373–8. Medline:
3.
Griffon DJ, Cronin P, Kirby B, Cottrell DF. Evaluation of a hemostasis model for teaching ovariohysterectomy in veterinary surgery. Vet Surg. 2000;29(4):309–16. Medline:
4.
Giusto G, Comino F, Gandini M. Validation of an effective, easy-to-make hemostasis simulator. J Vet Med Educ. 2015;42(1):85–8. Medline:
5.
Olsen D, Bauer M, Seim H, Salman M. Evaluation of a hemostasis model for teaching basic surgical skills. Vet Surg. 1996;25(1):49–58. Medline:
6.
Greenfield CL, Johnson AL, Schaeffer DJ, Hungerford LL. Comparison of surgical skills of veterinary students trained using models or live animals. JAVMA. 1995;206(12):1840–5. Medline:
7.
Caston SS, Schleining JA, Danielson JA, Kersh KD, Reinertson EL. Efficacy of teaching the gambee suture pattern using simulated small intestine versus cadaveric small intestine. Vet Surg. 2016;45(8):1019–24. Medline:
8.
Russel WMS, Burch R. The principles of humane experimental technique. London: Methuen; 1959.
9.
Ericsson AK, Krampe RT, Tesch-Römer C. Development of elite performance and deliberate practice. Psychol Rev. 1993;100(3):363–406.
10.
Ericsson KA. Deliberate practice and the acquisition and maintenance of expert performance in medicine and related domains. Acad Med. 2004;79(10 Suppl):S70–81. Medline:
11.
Hunt J, Simons M, Anderson S. If you build it, they will learn: a review of models in veterinary surgical education. Vet Surg. 2022;51(1):52–61. Medline:
12.
Lee T, Genovese E. Distribution of practice in motor skill acquisition: learning and performance effects reconsidered. Res Q Exerc Sport. 1988;59(4):277–87. Medline:
13.
Yeung J, Djarv T, Hsieh M, et al. Spaced learning versus massed learning in resuscitation—a systematic review. Resuscitation. 2020;156:61–71. Medline:
14.
Shebilske W, Goettl B, Corrington K, Day E. Interlesson spacing and task-related processing during complex skill acquisition. J Exp Psychol Appl. 1999;5(4):413.
15.
Moulton CAE, Dubrowski A, MacRae H, Graham B, Grober E, Reznick R. Teaching surgical skills: what kind of practice makes perfect? Ann Surg. 2006;244(3):400–9. Medline:
16.
Hunt J, Rogers-Scarlett S, Schmidt P, et al. Validation of a rubric used for skills-based assessment of veterinary students performing simulated ovariohysterectomy on a model. J Vet Med Educ. 2023;50(3):327–36. Medline:
17.
George D, Mallery P. SPSS for Windows step by step: A simple guide and reference. 11.0 update. Boston: Allyn & Bacon; 2003.
18.
Perez-Rivero J, Batalla-Vera T, Rendon-Franco E. Development and validation of a low-fidelity simulator to suture a laparotomy in rabbits. Altern to Lab Anim. 2015;43(4):44–8. Medline:
19.
Motta T, Carter B, Sweazy E, Taylor A, McLoughlin M, Hill L. Development and validation of a low-fidelity, low-cost surgical simulation model to teach canine orchiectomy. Clin Theriogenology. 2018;10(2):125–39.
20.
Ovideo-Penata C, Tapia-Araya A, Lemos J, Riano-Benavides C, Case J, Maldonado-Estrada J. Validation of training and acquisition of surgical skills in veterinary laparoscopic surgery: a review. Front Vet Sci. 2020;7(306):1–17. Medline:
21.
Mehrdadi S, Marjani M. Introduction and assessment of an inanimate model for basic surgical skills training of veterinary students. J Surg Simul. 2018;5:47–59.
22.
Gibbons P, Devine E, Dutton D, Pulliam T, Anderson S, Hunt J. Development and validation of an ovine caesarean section model and rubric. Clin Theriogenology. 2022;14(4):348–55.
23.
Noyes J, Carbonneau K, Matthew S. Comparative effectiveness of training with simulators versus traditional instruction in veterinary education: meta-analysis and systematic review. J Vet Med Educ. 2022;49(1):25–38. Medline:
24.
Hunt JA, Heydenburg M, Kelly CK, Anderson SL, Dascanio JJ. Development and validation of a canine castration model and rubric. J Vet Med Educ. 2020;47(1):78–90. Medline:
25.
Simons M, Hunt J, Anderson S. What’s the evidence? A review of current instruction and assessment in veterinary surgical education. Vet Surg. 2022;51(5):731–43. Medline:
26.
Hunt J, Gilley R, Spangler D, Pulliam T, Anderson S. Retention of basic surgical skills in veterinary students. Vet Surg. 2022;51(8):1240–6. Medline:
27.
Banse H, Baker R, Domaracki C, et al. Teaching veterinary surgical skills: comparison of massed versus spaced instruction. Vet Surg. 2022;51(7):1118–25. Medline:
28.
Read E, Vallevand A, Farrell R. Evaluation of veterinary student surgical skills preparation for ovariohysterectomy using simulators: a pilot study. J Vet Med Educ. 2016;43(2):190–213. Medline:
29.
Hunt J, Anderson S, Spangler D, Gilley R. Influence of instructor-to-student ratio for teaching suturing skills with models. Vet Surg. 2021;48(1):105–14. Medline:
30.
Atesok K, Satava R, Van Heest A, et al. Retention of skills after simulation-based training in orthopaedic surgery. J Am Acad Orthop Surg. 2016;24(8):505–14. Medline:
31.
Arthur W, Bennett W, Stanush P, McNelly T. Factors that influence skill decay and retention: a quantitative review and analysis. Hum Perform. 1998;11(1):57–101.
32.
Malone E. Evidence-based clinical skills teaching and learning: What do we really know? J Vet Med Educ. 2019;46(3):379–98. Medline:
33.
Shea J, Morgan R. Contextual interference effects on the acquisition, retention, and transfer of a motor skill. J Exp Psychol Hum Learn Mem. 1979;5(2):179–87.
34.
Estes W. Statistical theory of spontaneous regression and recovery. Psychol Rev. 1955;62(3):145–54. Medline:
35.
Estes W. Statistical theory of distributional phenomena in learning. Psychol Rev. 1955;62(5):369–77. Medline:
36.
Hintzman D. Theoretical implications of the spacing effect. In: Solso R, editor. Theories in cognitive psychology: The Loyola symposium. Potomac, MD: Erlbaum; 1974. p. 77–99.
37.
Thios S, D’Argostino P. Effects of repetition as a function of study-phase retrieval. J Verbal Learning Verbal Behav. 1976;15(5):529–36.
38.
Hintzman D. Judgment of frequency vs. recognition confidence: repetition and recursive reminding. Mem Cogn. 2004;32(2):336–50.
39.
Hintzman D. How does repetition affect memory? Evidence from judgments of recency. Mem Cogn. 2010;38(1):102–15. Medline:
40.
Benjamin A, Tullis J. What makes distributed practice effective? Cogn Psychol. 2010;61(3):228–47. Medline:
41.
Zenner D, Burns GA, Ruby KL, Debowes RM, Stoll S. Veterinary students as elite performers: preliminary insights. J Vet Med Educ. 2005;32(2):242–8. Medline:

Appendix 1: Students’ Surgical Skills Curriculum During Their First 2 Years of Veterinary School

SemesterTopicHours
1Psychomotor skills I (instrument handling, knot tying)2
 Psychomotor skills II (instrument handling, knot tying)2
 Hand ties2
2Ligature I2
 Suturing2
 Ligature II3
3Introduction to laparotomy2
 Clamping and ligating2
 Body wall closure2
 Subcutaneous tissue closure2
 Continuous skin suture patterns2
 Interrupted skin suture patterns2
 Inverting suture patterns2
Total hours for semesters 1–327
4Aseptic technique—surgeon2
 Aseptic technique—patient preparation2
 Ovariohysterectomy on the LMUterus model—session 13
 Aseptic technique practice2
 Ovariohysterectomy on the LMUterus model—session 23
 Ovariohysterectomy on the LMUterus model—session 32
 Reconstructive techniques3
 Gastrointestinal surgery3
 Ovariohysterectomy on the LMUterus model—review session2
Total hours for semester 422

Appendix 2: The Rubric Used to Score Student Performance on the Mock OVH Assessment

 MAKING THE INCISIONA
Excellent
B
Good
C
Borderline
D
Unsatisfactory
1Makes safe abdominal approach—rests hand on patient while using reverse stab with scalpel; tents sufficiently to avoid injury to patient    
2Extends the incision safely—keeps straight incision, does not go too deep    
 PERFORMING THE OVHA
Excellent
B
Good
C
Borderline
D
Unsatisfactory
3Applies proper 3 clamp technique proximal to ovary    
4Places a second secure circumferential ligation immediately distal to the first ligature using an instrument tie, demonstrating clamp flashing while tightening    
5Transects pedicle between two clamps and demonstrates checking the pedicle for bleeding before returning gently to abdomen    
6Applies modified three-clamp technique    
7Places a secure Miller’s ligature in the groove created by the most proximal clamp    
8Transects pedicle between two clamps and demonstrates checking the pedicle for bleeding before returning gently to abdomen    
9Cranial to the cervix but caudal to the uterine bifurcation places 3 clamps using proper technique    
10Places secure circumferential ligation at location where hemostat closest to cervix has crushed the tissue    
11Places a secure transfixation ligature immediately distal to the first ligature, demonstrating clamp flashing while tightening    
12Transects pedicle between two clamps and demonstrates checking the pedicle for bleeding before returning gently to abdomen    
 3-LAYER CLOSUREA
Excellent
B
Good
C
Borderline
D
Unsatisfactory
13Body wall: adequate bite sizes (∼5mm)    
14Body wall: adequate bite spacing (∼5mm)    
15Body wall: adequate tension (hemostat tips cannot be placed under suture)    
16SQ: simple continuous pattern placed correctly    
17SQ: proper tension upon completion of closure—apposed but not too tight    
18Skin: proper tension upon completion of closure—apposed but not too tight    
19Good knot security—square throws, alternates directions, places 4+ throws, follows half hitches with a square knot, opens needle driver tips when tying to a loop    
 COLLECTIVE MARKSA
Excellent
B
Good
C
Borderline
D
Unsatisfactory
20Gentle tissue handling    
21Good adherence to aseptic technique    
22Good instrument handling; uses appropriate instruments for tasks    

Information & Authors

Information

Published In

Go to Journal of Veterinary Medical Education
Journal of Veterinary Medical Education
Volume 51Number 1February 2024
Pages: 122 - 129
PubMed: 36645820

History

Received: 4 October 2022
Revision received: 28 November 2022
Accepted: 2 December 2022
Published ahead of print: 16 January 2023
Published online: 5 March 2024
Published in print: February 2024

Key Words:

  1. competency/competencies
  2. educational methods
  3. simulation/model/manikin
  4. surgery
  5. clinical skills
  6. surgical skills
  7. ovariohysterectomy
  8. student training

Authors

Affiliations

Julie A. Hunt, DVM, MS
Associate Dean
Biography: Julie A. Hunt, DVM, MS, is Associate Dean of Clinical Sciences and Professor of Veterinary Medicine, Lincoln Memorial University College of Veterinary Medicine, 6965 Cumberland Gap Pkwy, Harrogate, TN 37752 USA. Email: [email protected]. Her research interests include clinical skills teaching and assessment.
Clinical Sciences and Professor of Veterinary Medicine, Lincoln Memorial University College of Veterinary Medicine, 6965 Cumberland Gap Pkwy, Harrogate TN 37752 USA
Robert S. Gilley, DVM, PhD, DACVS
Professor
Biography: Robert S. Gilley, DVM, PhD, DACVS, is a Professor of Small Animal Surgery, Lincoln Memorial University College of Veterinary Medicine, Harrogate, TN 37752 USA. His research interests include biomechanics, genomics, and veterinary surgical skills training.
Small Animal Surgery, Lincoln Memorial University College of Veterinary Medicine, Harrogate, TN 37752 USA
Alexandra Gilley, DVM, MA
Assistant Professor
Biography: Alexandra Gilley, DVM, MA, is an Assistant Professor of Small Animal Internal Medicine, Lincoln Memorial University College of Veterinary Medicine, Harrogate, TN 37752 USA. Her research interests include veterinary clinical and surgical skills training.
Small Animal Internal Medicine, Lincoln Memorial University College of Veterinary Medicine, Harrogate, TN 37752 USA
R. Randall Thompson, DVM, MSpVM
Assistant Professor
Biography: R. Randall Thompson, DVM, MSpVM (Small animal surgery), is an Assistant Professor of Small Animal Surgery and DeBusk Veterinary Teaching Center Liaison, Lincoln Memorial University College of Veterinary Medicine, Harrogate, TN 37752 USA. His research interests include veterinary surgical skills training.
Small Animal Surgery and DeBusk Veterinary Teaching Center Liaison, Lincoln Memorial University College of Veterinary Medicine, Harrogate, TN 37752 USA
Stacy L. Anderson, DVM, MVSc, PhD, DACVS-LA
Dean and Professor
Biography: Stacy L. Anderson, DVM, MVSc, PhD, DACVS-LA, is Dean and Professor of Large Animal Surgery, Lincoln Memorial University College of Veterinary Medicine, 6965 Cumberland Gap Pkwy, Harrogate, TN 37752 USA. Her research interests include clinical and surgical skills training.
Large Animal Surgery, Lincoln Memorial University College of Veterinary Medicine, 6965 Cumberland Gap Pkwy, Harrogate TN 37752 USA

Funding

No funding was received for this work.

Metrics & Citations

Metrics

VIEW ALL METRICS

Related Content

Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Format





Download article citation data for:
Julie A. Hunt, Robert S. Gilley, Alexandra Gilley, R. Randall Thompson, and Stacy L. Anderson
Journal of Veterinary Medical Education 2024 51:1, 122-129

View Options

View options

PDF

View PDF

EPUB

View EPUB

Restore your content access

Enter your email address to restore your content access:

Note: This functionality works only for purchases done as a guest. If you already have an account, log in to access the content to which you are entitled.

Figures

Tables

Media

Share

Share

Copy the content Link

Share on social media

About Cookies On This Site

We use cookies to improve user experience on our website and measure the impact of our content.

Learn more

×