Critical Synthesis Package: Comprehensive Integrative Puzzle (CIP)

MedEdPORTAL

Jeremy B. Richards¹ 

[1] 1 Beth Israel Deaconess Medical Center;

关键词: Assessment;    DREAM;    Directory and Repository of Educational Assessment Measures;    Clinical Reasoning;    Educational;    Comprehensive Integrative Puzzle;   

DOI  :  10.15766/mep_2374-8265.9561

来源: DOAJ

【 摘 要 】

Abstract This Critical Synthesis Package contains: (1) a Critical Analysis of the psychometric properties and application to health sciences education for the Comprehensive Integrated Puzzle (CIP), and (2) a copy of the CIP instrument, instructions, and example developed by Rosalie Ber, MD. The CIP is an extended matching tool designed to assess learners' ability to relate clinical information to specific diagnoses or clinical conditions. The CIP is formatted as a grid, and learners match specific diagnoses or clinical conditions to diagnostic or therapeutic categories based on concise clinical vignettes. The CIP is a forced matching exercise in which specific diagnoses are listed for test takers, all of which must be used to fill in the empty grid. As the CIP involves linking components of a clinical vignette, test taker performance depends on both medical knowledge and the ability to match historical, physical exam, diagnostic, therapeutic and pathologic aspects of clinical vignettes. The CIP was originally intended for preclinical students in an integrative systems-based course, although it can be and has been modified for learners of any level of training. There are few data on the psychometric properties of the CIP, but it has been demonstrated to be reliable as compared to multiple choice-based clinical reasoning tests and it does have high discriminatory value in differentiating prepared from unprepared learners. Developing a CIP is relatively time intensive, as several hours of effort by multiple faculty is required to write, design and pretest a CIP. As individual CIPs are developed for specific learners in specific courses or learning environments, data regarding generalizability are scarce. Developing and using CIPs in heterogeneous learner populations may provide better information regarding the generalizability of this tool.

【 授权许可】

Unknown