AI Article Synopsis
- Cognitive interviewing is a qualitative research method used to create valid and reliable outcome measures focused on patients, but it comes with challenges when dealing with sensitive health topics.
- The article aims to outline principles for applying cognitive interviewing effectively in these sensitive areas, emphasizing careful handling of data collection and analysis.
- Researchers need to be aware of potential threats to data quality and participant safety, and the article discusses strategies to minimize risks during sensitive topic scale development.
Article Abstract
Background: Cognitive interviewing is a qualitative methodology for generating valid, reliable patient-centered outcome measures. There are challenges inherent in research on sensitive topics that require thoughtful approach by the scientist for data collection methods, analysis, and interpretation.
Objective: The purpose of this article is to provide principles of cognitive interviewing for sensitive health topics.
Methods: We review the challenges inherent in cognitive interviewing for sensitive topics scale development. We illustrate adaptations to general cognitive interviewing for sensitive topics through the presentation and analysis of a research exemplar.
Results: Researchers must consider threats to quality of sensitive topic data collection and potential harms to participants and researchers. We provide specific examples of how these risks were mitigated in a sensitive topic scale development study.
Discussion: Unique challenges of cognitive interviewing for sensitive health topics can be addressed with a well-planned data collection strategy, anticipating participant safety concerns, and consideration to researcher well-being.
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| http://dx.doi.org/10.1097/NNR.0000000000000530 | DOI Listing |
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