Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Obesity and Age Elevate Tissue-Resident Microbiota Akkermansia muciniphila to Induce Oxidative Stress and Promote Breast Cancer Risk.

Cancer research·2026
Same author

Serum BP180 and BP230 autoantibodies in Alzheimer's disease: diagnostic and cognitive associations in a retrospective study.

Frontiers in aging neuroscience·2026
Same author

How Is U.S. Food-Insecurity Related to Dietary Quality? A Scoping Review to Inform Nutrition Security Across the Lifespan.

Nutrients·2026
Same author

Leveraging questionnaire-based physical activity levels (PAL) and the Goldberg method to evaluate the biological plausibility of self-reported energy intake: A doubly labeled water validation study.

American journal of epidemiology·2026
Same author

Connective tissue diseases combined with chronic myelomonocytic leukemia and myelofibrosis: a case report and literature review.

Frontiers in immunology·2026
Same author

Application of the Total Nutrient Index as a Precision Nutrition Tool to Address Dietary Recommendations Across the Life Course.

Journal of the Academy of Nutrition and Dietetics·2026

Related Experiment Video

Updated: Jan 18, 2026

Simulator Training for Endovascular Neurosurgery
08:08

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

4.1K

Using Simulation to Define the Learning Curve for the Digital Cervical Examination.

Joshua F Nitsche1, Rubymel J Knupp, Janet A Tooze

  • 1Departments of Obstetrics and Gynecology and Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina.

Obstetrics and Gynecology
|October 1, 2019
PubMed
Summary
This summary is machine-generated.

Medical students acquire digital cervical examination skills through practice, with competence achieved after approximately 89 repetitions for dilation and 48 for effacement. Skill retention varied, highlighting the need for a competence-based training approach.

More Related Videos

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training
05:04

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training

Published on: August 9, 2024

1.4K
Utilizing a 3D Printed Laparoscopic Nissen Fundoplication Model to Shorten a Resident's Learning Curve
08:21

Utilizing a 3D Printed Laparoscopic Nissen Fundoplication Model to Shorten a Resident's Learning Curve

Published on: August 15, 2025

593

Related Experiment Videos

Last Updated: Jan 18, 2026

Simulator Training for Endovascular Neurosurgery
08:08

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

4.1K
Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training
05:04

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training

Published on: August 9, 2024

1.4K
Utilizing a 3D Printed Laparoscopic Nissen Fundoplication Model to Shorten a Resident's Learning Curve
08:21

Utilizing a 3D Printed Laparoscopic Nissen Fundoplication Model to Shorten a Resident's Learning Curve

Published on: August 15, 2025

593

Area of Science:

  • Medical Education
  • Simulation Training
  • Gynecological Skills Assessment

Background:

  • Digital cervical examination is a critical skill for medical professionals.
  • Standardized training protocols are essential for effective skill acquisition.
  • Understanding learning curves and skill decay is crucial for optimizing medical education.

Purpose of the Study:

  • To evaluate the learning curve and skill acquisition in medical students performing simulated digital cervical examinations.
  • To determine the number of repetitions required to achieve competence.
  • To assess the rate of skill decay after training.

Main Methods:

  • A longitudinal study involving 25 medical students performing 200 simulated cervical examinations.
  • Regression analysis (linear, power, sigmoidal) to model cumulative accuracy.
  • Multilevel models to analyze the impact of dilation and effacement on accuracy and individual learning rates.
  • Assessment of skill decay at 1, 2, and 5 months post-training.

Main Results:

  • The sigmoidal model best described skill acquisition.
  • Competence was achieved by all students, with median accuracies of 69% for dilation and 80% for effacement.
  • Maximal accuracy was observed around 150 repetitions; skill persisted for 1-2 months.
  • Individual learning rates and starting proficiency varied significantly.

Conclusions:

  • A competence-based approach, rather than time-based, is recommended for digital cervical examination training.
  • Continuous monitoring of trainee performance during and after training is advised.
  • Simulation regimens should incorporate at least 150 repetitions to ensure proficiency.