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Inter-rater reliability and generalizability of patient note scores using a scoring rubric based on the USMLE Step-2 CS format

Overview of attention for article published in Advances in Health Sciences Education, January 2016
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Article details
Title
Inter-rater reliability and generalizability of patient note scores using a scoring rubric based on the USMLE Step-2 CS format
Published in
Advances in Health Sciences Education, January 2016
DOI 10.1007/s10459-015-9664-3
Pubmed ID
Authors
Abstract

Recent changes to the patient note (PN) format of the United States Medical Licensing Examination have challenged medical schools to improve the instruction and assessment of students taking the Step-2 clinical skills examination. The purpose of this study was to gather validity evidence regarding response process and internal structure, focusing on inter-rater reliability and generalizability, to determine whether a locally-developed PN scoring rubric and scoring guidelines could yield reproducible PN scores. A randomly selected subsample of historical data (post-encounter PN from 55 of 177 medical students) was rescored by six trained faculty raters in November-December 2014. Inter-rater reliability (% exact agreement and kappa) was calculated for five standardized patient cases administered in a local graduation competency examination. Generalizability studies were conducted to examine the overall reliability. Qualitative data were collected through surveys and a rater-debriefing meeting. The overall inter-rater reliability (weighted kappa) was .79 (Documentation = .63, Differential Diagnosis = .90, Justification = .48, and Workup = .54). The majority of score variance was due to case specificity (13 %) and case-task specificity (31 %), indicating differences in student performance by case and by case-task interactions. Variance associated with raters and its interactions were modest (<5 %). Raters felt that justification was the most difficult task to score and that having case and level-specific scoring guidelines during training was most helpful for calibration. The overall inter-rater reliability indicates high level of confidence in the consistency of note scores. Designs for scoring notes may optimize reliability by balancing the number of raters and cases.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Professor > Associate Professor 8 13%
Student > Ph. D. Student 6 9%
Researcher 6 9%
Student > Master 5 8%
Other 4 6%
Other 15 23%
Unknown 20 31%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 24 38%
Psychology 7 11%
Social Sciences 4 6%
Nursing and Health Professions 3 5%
Arts and Humanities 2 3%
Other 1 2%
Unknown 23 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 September 2016.
All research outputs
#13,463,735
of 22,858,915 outputs
Outputs from Advances in Health Sciences Education
#533
of 852 outputs
Outputs of similar age
#190,226
of 395,185 outputs
Outputs of similar age from Advances in Health Sciences Education
#12
of 17 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 395,185 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.