We reflect on our process of working with an adapted framework as an effective strategy for analyzing and interpreting the results of our qualitative study on the lived experiences of insulin pump trainers. Interpretative Phenomenological Analysis (IPA) was applied as the overarching research methodology and was encapsulated into a framework adapted from Bonello and Meehan (2019) and from Chong (2019). We describe this framework as the “embodiment of discovery” to posit the researcher’s tangible experience of discovering the meaning of data that also brought transparency to the researcher’s process for data analysis and interpretation. We present challenges the doctoral student researcher experienced working with the framework through three phases and various steps performed during the analysis. We recommend the framework may assist novice researchers as a tool for wayfinding and scoping the structure of data analysis and interpretation. We conclude that novice researchers should not fear finding their “embodiment of discovery” in adapting creative or alternate methods for qualitative analysis.


phenomenology, Interpretative Phenomenological Analysis, human-computer interaction, training, framework, qualitative data analysis, embodiment, discovery, diabetes, insulin pumps; safety-critical design

Author Bio(s)

Helen B. Hernandez, Ph.D., is a recent graduate from Nova Southeastern University, College of Computing and Engineering, where she earned a Ph.D. in Information Systems. She has a strong professional background in information technology and networking and has worked in the health care sector as an analyst for over a decade. Her research on usability and learnability of medical device technology focuses on understanding the dynamics that can be observed when a person suffering from a chronic disease is instructed how to manage their symptoms so they can enjoy everyday life. Correspondence regarding this article can be addressed directly to: hbriegel57@gmail.com.

Laurie P. Dringus, Ph.D., has 35-years+ experience in research, teaching, and practice in human-computer interaction (HCI). She is a Professor in the College of Computing and Engineering, at Nova Southeastern University. Her background in information systems (IS) and psychology enables her to study the impacts of the use of technology in various contexts. Her research blends HCI, IS, and computer-mediated communication (CMC), focusing on understanding the complex nature of human interaction in technology. Her interest in this study focuses on usability and human-centered design of safety critical medical devices. Correspondence regarding this article can be addressed directly to: laurie@nova.edu.

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