resident performance
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2021 ◽  
Vol 13 (6) ◽  
pp. 833-840
Author(s):  
Judith C. French ◽  
Lily C. Pien

ABSTRACT Background Written feedback by faculty of resident performance is valuable when it includes components based on assessment for learning. However, it is not clear how often assessment forms include these components for summative and formative feedback. Objective To analyze prompts used in forms for faculty assessment of resident performance, guided by best practices in survey research methodology, self-regulation theory, and competency-based assessment. Methods A document analysis, which is a qualitative approach used to analyze content and structure of texts, was completed on assessment forms nationally available in MedHub. Due to the number of forms available, only internal medicine and surgery specialties were included. A document summary form was created to analyze the assessments. The summary form guided researchers through the analysis. Results Forty-eight forms were reviewed, each from a unique residency program. All forms provided a textbox for comments, and 54% made this textbox required for assessment completion. Eighty-three percent of assessments placed the open textbox at the end of the form. One-third of forms contained a simple prompt, “Comments,” for the narrative section. Fifteen percent of forms included a box to check if the information on the form had been discussed with the resident. Fifty percent of the assessments were unclear if they were meant to be formative or summative in nature. Conclusions Our document analysis of assessment forms revealed they do not always follow best practices in survey design for narrative sections, nor do they universally address elements deemed important for promotion of self-regulation and competency-based assessment.


Author(s):  
Matthew Kelleher ◽  
Benjamin Kinnear ◽  
Dana R. Sall ◽  
Danielle E. Weber ◽  
Bailey DeCoursey ◽  
...  

Abstract Introduction Narrative assessment data are valuable in understanding struggles in resident performance. However, it remains unknown which themes in narrative data that occur early in training may indicate a higher likelihood of struggles later in training, allowing programs to intervene sooner. Methods Using learning analytics, we identified 26 internal medicine residents in three cohorts that were below expected entrustment during training. We compiled all narrative data in the first 6 months of training for these residents as well as 13 typically performing residents for comparison. Narrative data were blinded for all 39 residents during initial phases of an inductive thematic analysis for initial coding. Results Many similarities were identified between the two cohorts. Codes that differed between typical and lower entrusted residents were grouped into two types of themes: three explicit/manifest and three implicit/latent with six total themes. The explicit/manifest themes focused on specific aspects of resident performance with assessors describing 1) Gaps in attention to detail, 2) Communication deficits with patients, and 3) Difficulty recognizing the “big picture” in patient care. Three implicit/latent themes, focused on how narrative data were written, were also identified: 1) Feedback described as a deficiency rather than an opportunity to improve, 2) Normative comparisons to identify a resident as being behind their peers, and 3) Warning of possible risk to patient care. Discussion Clinical competency committees (CCCs) usually rely on accumulated data and trends. Using the themes in this paper while reviewing narrative comments may help CCCs with earlier recognition and better allocation of resources to support residents’ development.


Author(s):  
John Luckoski ◽  
Danielle Jean ◽  
Angela Thelen ◽  
Laura Mazer ◽  
Brian George ◽  
...  

Cureus ◽  
2021 ◽  
Author(s):  
Michael C Nguyen ◽  
Nicole C Elliott ◽  
Diane P Begany ◽  
Katie M Best ◽  
Matthew D Cook ◽  
...  

2021 ◽  
pp. 85-87
Author(s):  
Alison Volpe Holmes ◽  
Christopher B. Peltier ◽  
Janice L. Hanson ◽  
Joseph O. Lopreiato

2021 ◽  
Vol 13 (02) ◽  
pp. e151-e157
Author(s):  
Brett M. Gudgel ◽  
Andrew T. Melson ◽  
Justin Dvorak ◽  
Kai Ding ◽  
R. Michael Siatkowski

Abstract Purpose Only from reviewing applications, it is difficult to identify which applicants will be successful ophthalmology residents. The change of the USMLE Step 1 scoring to “Pass/Fail” removes another quantitative metric. We aimed to identify application attributes correlated with successful residency performance. This study also used artificial intelligence (AI) to evaluate letters of recommendation (LOR), the Dean's letter (MSPE), and personal statement (PS). Design Retrospective analysis of application characteristics versus residency performance was conducted. Participants Residents who graduated from the Dean McGee Eye Institute/University of Oklahoma Ophthalmology residency from 2004 to 2019 were included in this study. Methods Thirty-four attributes were recorded from each application. Residents were subjectively ranked into tertiles and top and bottom deciles based on residency performance by faculty present during their training. The Ophthalmic Knowledge Assessment Program (OKAP) examination scores were used as an objective performance metric. Analysis was performed to identify associations between application attributes and tertile/decile ranking. Additional analysis used AI and natural language processing to evaluate applicant LORs, MSPE, and PS. Main Outcome Measures Characteristics from residency applications that correlate with resident performance were the primary outcome of this study. Results Fifty-five residents and 21 faculty members were included. A grade of “A” or “Honors” in the obstetrics/gynecology (OB/GYN) clerkship and the presence of a home ophthalmology department were associated with ranking in the top tertile but not the top decile. Mean core clerkship grades, medical school ranking in the top 25 U.S. News and World Report (USNWR) primary care rankings, and postgraduate year (PGY)-2 and PGY-3 OKAP scores were predictive of being ranked in both the top tertile and the top decile. USMLE scores, alpha-omega-alpha (AOA) status, and number of publications did not correlate with subjective resident performance. AI analysis of LORs, MSPE, and PS did not identify any text features that correlated with resident performance. Conclusions Many metrics traditionally felt to be predictive of residency success (USMLE scores, AOA status, and research) did not predict resident success in our study. We did confirm the importance of core clerkship grades and medical school ranking. Objective measures of success such as PGY-2 and PGY-3 OKAP scores were associated with high subjective ranking.


Author(s):  
Jeffrey R. Tseng ◽  
Young S. Kang ◽  
Jiwon Youm ◽  
Rajul Pandit

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