Related Experiment Video
Updated: Jul 11, 2025

15:00
A Tablet-Based Curriculum-Based Measurement Protocol for Kindergarten Writing
Published on: February 7, 2025
606
An Analysis of Written and Numeric Scores in End-of-Rotation Forms from Three Residency Programs
Lauren M Anderson1, Kathleen Rowland1, Deborah Edberg1
1Department of Family and Preventive Medicine, Rush University, Chicago, Illinois, US.
Perspectives on Medical Education
|November 6, 2023
Summary
End-of-Rotation Forms (EORFs) provide limited useful feedback for resident assessment. Most comments are irrelevant or positive, hindering informed decisions by Clinical Competency Committees (CCCs).
Area of Science:
- Graduate Medical Education
- Medical Education Assessment
- Healthcare Quality Improvement
Background:
- End-of-Rotation Forms (EORFs) are crucial for evaluating resident performance in graduate medical education.
- Existing literature suggests that both numerical grades and written comments on EORFs tend to be overly positive.
- The utility of EORFs for identifying resident deficiencies and informing Clinical Competency Committee (CCC) discussions is questionable.
Purpose of the Study:
- To assess the informational value of EORFs for residents, program directors, and CCCs.
- To determine if EORFs from multiple programs, specialties, and institutions provide actionable feedback.
- To analyze the relevance and orientation of written comments within EORFs.
Main Methods:
- Collected 4869 EORFs from three graduate medical education programs (Internal Medicine and Anesthesia) across two institutions.
- Two researchers independently coded written comments for relevance (specificity, actionability) and orientation (praise, critical) using a standardized rubric.
- Analyzed numeric scores using descriptive statistics.
Main Results:
- Less than 1% of numeric scores indicated below-expected performance.
- Over 70% of written comments were deemed irrelevant to resident progress.
- Critically relevant comments, essential for constructive feedback, were infrequently observed across all programs.
Conclusions:
- The high rate of irrelevant comments and the scarcity of constructive feedback in EORFs are insufficient for CCCs to make informed decisions.
- Findings were consistent across programs, specialties, and institutions, indicating potential systemic issues.
- Local and systemic changes are recommended to improve the quality and utility of EORFs for resident assessment.
Related Concept Videos
Review and Preview
7.6K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
7.6K
Ratio Level of Measurement
18.2K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
18.2K
Introduction to z Scores
396
A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
z scores...
396
Nursing Evaluation
3.3K
The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
3.3K
z Scores and Area Under the Curve
10.9K
z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
10.9K
Assessment of apical radial pulse
755
Apical-Radial (A-R) Pulse Assessment
The A-R pulse assessment involves simultaneous evaluation of the apical and radial pulses. When the apical and radial pulse rates vary, this assessment helps identify a pulse deficit.
Pre-Procedural Preparation
The A-R pulse assessment involves simultaneous evaluation of the apical and radial pulses. When the apical and radial pulse rates vary, this assessment helps identify a pulse deficit.
Pre-Procedural Preparation
755

