Peer-assisted bedside teaching rounds

2015 ◽  
Vol 12 (3) ◽  
pp. 197-202 ◽  
Author(s):  
Aristithes Doumouras ◽  
Raphael Rush ◽  
Anthony Campbell ◽  
David Taylor
JAMA ◽  
2014 ◽  
Vol 311 (19) ◽  
pp. 1971 ◽  
Author(s):  
Steven McGee

2015 ◽  
Vol 7 (2) ◽  
pp. 242-246 ◽  
Author(s):  
Aditee P. Narayan ◽  
Shari A. Whicker ◽  
Robert W. Benjamin ◽  
Jeffrey Hawley ◽  
Kathleen A. McGann

Abstract Background Learner benefits of tablet computer use have been demonstrated, yet there is little evidence regarding faculty tablet use for teaching. Objective Our study sought to determine if supplying faculty with tablet computers and peer mentoring provided benefits to learners and faculty beyond that of non–tablet-based teaching modalities. Methods We provided faculty with tablet computers and three 2-hour peer-mentoring workshops on tablet-based teaching. Faculty used tablets to teach, in addition to their current, non–tablet-based methods. Presurveys, postsurveys, and monthly faculty surveys assessed feasibility, utilization, and comparisons to current modalities. Learner surveys assessed perceived effectiveness and comparisons to current modalities. All feedback received from open-ended questions was reviewed by the authors and organized into categories. Results Of 15 eligible faculty, 14 participated. Each participant attended at least 2 of the 3 workshops, with 10 to 12 participants at each workshop. All participants found the workshops useful, and reported that the new tablet-based teaching modality added value beyond that of current teaching methods. Respondents developed the following tablet-based outputs: presentations, photo galleries, evaluation tools, and online modules. Of the outputs, 60% were used in the ambulatory clinics, 33% in intensive care unit bedside teaching rounds, and 7% in inpatient medical unit bedside teaching rounds. Learners reported that common benefits of tablet computers were: improved access/convenience (41%), improved interactive learning (38%), and improved bedside teaching and patient care (13%). A common barrier faculty identified was inconsistent wireless access (14%), while no barriers were identified by the majority of learners. Conclusions Providing faculty with tablet computers and having peer-mentoring workshops to discuss their use was feasible and added value.


2020 ◽  
Vol 54 (10) ◽  
pp. 959-960 ◽  
Author(s):  
Heather Hofmann ◽  
Cameron Harding ◽  
Julie Youm ◽  
Warren Wiechmann

2016 ◽  
Vol 109 (2) ◽  
pp. 112-115 ◽  
Author(s):  
Jason Ramirez ◽  
Jason Singh ◽  
Adrienne A. Williams

2013 ◽  
Vol 47 (11) ◽  
pp. 1129-1129 ◽  
Author(s):  
Joseph F Majdan ◽  
Katherine T Berg ◽  
Kristine L Schultz ◽  
Arielle Schaeffer ◽  
Dale Berg

2020 ◽  
Vol 17 (5) ◽  
pp. 483-488
Author(s):  
Clarence Haddon Mullins ◽  
Adam Roderick ◽  
Jill Deaver ◽  
James Willig

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Wolf Ramackers ◽  
Julia Victoria Stupak ◽  
Indra Louisa Marcheel ◽  
Annette Tuffs ◽  
Harald Schrem ◽  
...  

Abstract Background Students’ ratings of bedside teaching courses are difficult to evaluate and to comprehend. Validated systematic analyses of influences on students’ perception and valuation of bedside teaching can serve as the basis for targeted improvements. Methods Six hundred seventy-two observations were conducted in different surgical departments. Survey items covered the categories teacher’s performance, student’s self-perception and organizational structures. Relevant factors for the student overall rating were identified by multivariable linear regression after exclusion of variable correlations > 0.500. The main target for intervention was identified by the 15% worst overall ratings via multivariable logistic regression. Results According to the students the success of bedside teaching depended on their active participation and the teacher’s explanations of pathophysiology. Further items are both relevant to the overall rating and a possible negative perception of the session. In comparison, negative perception of courses (worst 15%) is influenced by fewer variables than overall rating. Variables that appear in both calculations show slight differences in their weighing for their respective endpoints. Conclusion Relevant factors for overall rating and negative perception in bedside teaching can be identified by regression analyses of survey data. Analyses provide the basis for targeted improvement.


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