Document Detail

Clinical algorithms teach pediatric decisionmaking more effectively than prose.
MedLine Citation:
PMID:  2725087     Owner:  NLM     Status:  MEDLINE    
Despite the rapidly increasing volume of medical literature, little attention has been paid to the appropriate printed format for teaching clinical content. This study attempted to determine whether a clinical algorithm (CA) or prose is more effective for teaching clinical decisionmaking. Clerkship students, preclerkship students, and pediatric house officers in five medical centers in the USA and Israel were presented with clinical algorithms and prose describing management of fever in a child under 2 years of age, and management of meningitis in children. Knowledge of decisionmaking was measured before and after learning, using audio-taped clinical problems and learning time as measured. It was concluded that CAs are more effective and more efficient than prose for teaching clinical decisionmaking. When writing about clinical decisionmaking, the use of CAs should always be considered, especially if a series of interdependent decisions is being described.
C Z Margolis; C D Cook; N Barak; A Adler; A Geertsma
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Publication Detail:
Type:  Clinical Trial; Controlled Clinical Trial; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Medical care     Volume:  27     ISSN:  0025-7079     ISO Abbreviation:  Med Care     Publication Date:  1989 Jun 
Date Detail:
Created Date:  1989-07-12     Completed Date:  1989-07-12     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0230027     Medline TA:  Med Care     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  576-92     Citation Subset:  IM    
Department of Health in the Community, Ben-Gurion University, Beer-Sheva, Israel.
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MeSH Terms
Clinical Clerkship*
Decision Making
Education, Medical, Undergraduate*
Fever / etiology,  therapy
Meningitis / diagnosis,  therapy
Pediatrics / education*
Teaching / methods*

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