Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Purpose: Post-standardized patient (SP) encounter patient notes used to assess students' clinical reasoning represent a significant time burden for faculty who traditionally score them. To reduce this burden, the authors previously reported a complex faculty-developed scoring method to assess patient notes rated by nonclinicians. The current study explored whether a simplified scoring procedure for nonclinician raters could further optimize patient note assessments by reducing time, cost, and creating additional opportunities for formative feedback.
Method: Ten nonclinician raters scored patient notes of 141 students across 5 SP cases by identifying case-specific patient note checklist items. The authors identified the bottom quintile of students using the proportion of correct items identified in the note (percent-scores) and case-specific faculty-generated scoring formulas (formula-scores). Five faculty raters scored a subset of notes from low, borderline, and high-performing students (n = 30 students) using a global rating scale. The authors performed analyses to gather validity evidence for percent-scores (i.e., relationship to other variables), investigate its reliability (i.e., generalizability study), and evaluate its costs (i.e., faculty time).
Results: Nonclinician percent- and formula-scores were highly correlated ( r = .88) and identified similar lists of low-performing students. Both methods demonstrated good agreement for pass-fail determinations with each other (Kappa = .68) and with faculty global ratings (Kappa percent =.61; Kappa formula =.66). The G-coefficient of percent-scores was .52, with 38% of variability attributed to checklist items nested in cases. Using percent-scores saved an estimated $746 per SP case (including 6 hours of faculty time) in development costs over formula-scores.
Conclusions: Nonclinician percent-scores reliably identified low-performing students without the need for complex faculty-developed scoring formulas. Combining nonclinician analytic and faculty holistic ratings can reduce the time and cost of patient note scoring and afford faculty more time to coach at-risk students and provide targeted assessment input for high-stakes summative exams.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1097/ACM.0000000000004908 | DOI Listing |
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