Literature DB >> 22605792

Measuring clinical decision making: do key features problems measure higher level cognitive processes?

Gregory M Hurtz1, Roberta N Chinn, Grady C Barnhill, Norman R Hertz.   

Abstract

Reliable and objective assessment of clinical decision-making skills has been a long-standing goal in occupational testing in the allied health professions. With this goal in mind, the key features problem (KFP) format was developed which elicits targeted decisions about key features of clinical scenarios. To build on a small body of empirical evidence evaluating their efficacy, this study evaluates whether KFPs successfully assess higher order cognitive processes. Analysis of objective data (item length and difficulty, item performance, and response times) and subjective data (expert ratings of cognitive complexity) supported the proposition that KFPs tend to be more cognitively complex than conventional multiple-choice questions. Not only were they rated as more complex, but this complexity accounted for some of the increase in time spent responding to these items. Results support the use of KFPs in standardized assessments for measuring higher order cognitive processes such as clinical decision making.

Mesh:

Year:  2012        PMID: 22605792     DOI: 10.1177/0163278712446639

Source DB:  PubMed          Journal:  Eval Health Prof        ISSN: 0163-2787            Impact factor:   2.651


  4 in total

1.  Developing a viva exam to assess clinical reasoning in pre-registration osteopathy students.

Authors:  Paul Orrock; Sandra Grace; Brett Vaughan; Rosanne Coutts
Journal:  BMC Med Educ       Date:  2014-09-19       Impact factor: 2.463

2.  Effects of additional team-based learning on students' clinical reasoning skills: a pilot study.

Authors:  Meike Jost; Peter Brüstle; Marianne Giesler; Michel Rijntjes; Jochen Brich
Journal:  BMC Res Notes       Date:  2017-07-14

3.  The feasibility and effectiveness of a blended-learning course for detecting and avoiding bias in medical data: a pilot study.

Authors:  Cora Koch; Jochen Brich
Journal:  BMC Med Educ       Date:  2020-11-07       Impact factor: 2.463

4.  Validation and perception of a key feature problem examination in neurology.

Authors:  Meike Grumer; Peter Brüstle; Johann Lambeck; Silke Biller; Jochen Brich
Journal:  PLoS One       Date:  2019-10-18       Impact factor: 3.240

  4 in total

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