Abstract
In the context of a global pandemic, the need for reliable analysis of qualitative data in healthcare has never been more pressing. Open-ended questions are a feasible way for both researchers and organizational stakeholders to gain deeper insight into complex situations when timely research is needed. However, the interpretation of brief, textual responses can prove problematic. Both manual and automated/semiautomated methods of coding qualitative data have been associated with errors and costly temporal delays. Data obtained from the qualitative analysis of open-ended questions have been questioned for lacking robust insights. The present article introduces an innovative, manual, team-based method of analyzing responses to open-ended survey questions. This method was developed and implemented at the outset of the COVID-19 pandemic to understand the needs of nurses and their perceptions of organizational strategies that were implemented to address pandemic-related challenges. This framework utilizes a dedicated project management structure, general purpose software for data collection and analysis, frame-of-reference training designed for an interdisciplinary team of coders, and data analysis procedures that align with qualitative content analysis procedures. In concert, these techniques empower research team members with varying backgrounds and disparate levels of experience to provide unique human insights to data analysis procedures, refine the coding process, and support the abstraction of meaningful themes that were used to prioritize organizational strategies and further support nurses as the pandemic progressed.
Recommended Citation
Galura, S. J., Horan, K. A., Parchment, J., Penoyer, D., Schlotzhauer, A., Dye, K., & Hill, E. (2022). Frame of Reference Training for Content Analysis with Structured Teams (Fort-Cast): A Framework for Content Analysis of Open-Ended Survey Questions using Multidisciplinary Coders. Research in Nursing and Health, 45(4), pp. 477-487. Wiley.
The definitive version is available at https://doi.org/10.1002/nur.22227
Department(s)
Psychological Science
Publication Status
Full Access
Keywords and Phrases
frame-of-reference training; open-ended questions; qualitative analysis
International Standard Serial Number (ISSN)
1098-240X; 0160-6891
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Wiley, All rights reserved.
Publication Date
01 Aug 2022
PubMed ID
35411623
