Literature DB >> 21795965

Determining resident clinical performance: getting beyond the noise.

Keith Baker1.   

Abstract

BACKGROUND: Valid and reliable (dependable) assessment of resident clinical skills is essential for learning, promotion, and remediation. Competency is defined as what a physician can do, whereas performance is what a physician does in everyday practice. There is an ongoing need for valid and reliable measures of resident clinical performance.
METHODS: Anesthesia residents were evaluated confidentially on a weekly basis by faculty members who supervised them. The electronic evaluation form had five sections, including a rating section for absolute and relative-to-peers performance under each of the six Accreditation Council for Graduate Medical Education core competencies, clinical competency committee questions, rater confidence in having the resident perform cases of increasing difficulty, and comment sections. Residents and their faculty mentors were provided with the resident's formative comments on a biweekly basis.
RESULTS: From July 2008 to June 2010, 140 faculty members returned 14,469 evaluations on 108 residents. Faculty scores were pervasively positively biased and affected by idiosyncratic score range usage. These effects were eliminated by normalizing each performance score to the unique scoring characteristics of each faculty member (Z-scores). Individual Z-scores had low amounts of performance information, but signal averaging allowed determination of reliable performance scores. Average Z-scores were stable over time, related to external measures of medical knowledge, identified residents referred to the clinical competency committee, and increased when performance improved because of an intervention.
CONCLUSIONS: This study demonstrates a reliable and valid clinical performance assessment system for residents at all levels of training.

Mesh:

Year:  2011        PMID: 21795965     DOI: 10.1097/ALN.0b013e318229a27d

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  9 in total

1.  Anesthesia Residents Preferentially Request Operating Room Case Assignments with Complex Cases.

Authors:  Peggy Y Kim; Jonathan P Wanderer; David W Allbritton; Matthias Eikermann; Keith Baker
Journal:  J Med Syst       Date:  2017-03-10       Impact factor: 4.460

2.  Automated assessment of medical training evaluation text.

Authors:  Rui Zhang; Serguei Pakhomov; Sophia Gladding; Michael Aylward; Emily Borman-Shoap; Genevieve B Melton
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

3.  Motion capture measures variability in laryngoscopic movement during endotracheal intubation: a preliminary report.

Authors:  Jestin N Carlson; Samarjit Das; Fernando De la Torre; Clifton W Callaway; Paul E Phrampus; Jessica Hodgins
Journal:  Simul Healthc       Date:  2012-08       Impact factor: 1.929

4.  Automated near-real-time clinical performance feedback for anesthesiology residents: one piece of the milestones puzzle.

Authors:  Jesse M Ehrenfeld; Matthew D McEvoy; William R Furman; Dylan Snyder; Warren S Sandberg
Journal:  Anesthesiology       Date:  2014-01       Impact factor: 7.892

5.  Developing the Expected Entrustment Score: Accounting for Variation in Resident Assessment.

Authors:  Daniel P Schauer; Benjamin Kinnear; Matthew Kelleher; Dana Sall; Daniel J Schumacher; Eric J Warm
Journal:  J Gen Intern Med       Date:  2022-04-04       Impact factor: 6.473

6.  Cadaver-based training is superior to simulation training for cricothyrotomy and tube thoracostomy.

Authors:  James Kimo Takayesu; David Peak; Dana Stearns
Journal:  Intern Emerg Med       Date:  2016-03-28       Impact factor: 3.397

7.  Taking Rater Exposure to Trainees Into Account When Explaining Rater Variability.

Authors:  Christy K Boscardin; Marjo Wijnen-Meijer; Olle Ten Cate
Journal:  J Grad Med Educ       Date:  2016-12

8.  A short questionnaire to assess pediatric resident's competencies: the validation process.

Authors:  Liviana Da Dalt; Pasquale Anselmi; Silvia Bressan; Silvia Carraro; Eugenio Baraldi; Egidio Robusto; Giorgio Perilongo
Journal:  Ital J Pediatr       Date:  2013-07-05       Impact factor: 2.638

9.  Evaluating Family Medicine Resident Narrative Comments Using the RIME Scheme.

Authors:  Destiny Folk; Christian Ryckeley; Michelle Nguyen; Jeremiah J Essig; Gary L Beck Dallaghan; Catherine Coe
Journal:  J Med Educ Curric Dev       Date:  2022-03-24
  9 in total

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