Understanding Inter-rater Disagreement: A Mixed Methods Approach.

Emily M Campbell, Dean F Sittig, Wendy W Chapman, Brian L Hazlehurst, Aaron M Cohen

Oregon Health & Science University, Portland, OR;

Journal Article: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium 01/2010; 2010:81-5.

Abstract

In an experiment to investigate cognitive skill differences between clinicians and lay persons, eight individuals in each group were asked to determine if an explicit concept existed in an ambulatory encounter note (a simple task) or if the concept could be inferred from the same note (a complex task). Subjects answered questions, highlighted text used to answer each question, and commented on their reasoning for selecting specific text. Quantitative results were mixed for expert vs. non-expert task performance on simple vs. complex tasks. Qualitative analysis revealed that data ambiguity obscured quantifiable skill differences between groups. In addition, this analysis offered new insight into whether a concept identification task is simple or complex. We present this case study to demonstrate the value of mixed method approaches to task-based performance study design and evaluation. We discuss the results in terms of their implications for evaluating meaningful use of technologies.

Source: PubMed

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Keywords

case study
 
cognitive skill differences
 
complex task
 
complex tasks
 
concept identification task
 
data ambiguity obscured quantifiable skill differences
 
explicit concept
 
implications
 
meaningful use
 
mixed method approaches
 
non-expert task performance
 
persons
 
Quantitative results
 
simple task
 
Subjects answered questions
 
task-based performance study design
 
technologies