Use of Framework Matrix and Thematic Coding Methods in Qualitative Analysis for mHealth: The FluidCalc app Article Swipe
Rochelle K. Rosen
,
Monique Gainey
,
Sabiha Nasrin
,
Stephanie C. Garbern
,
Ryan Lantini
,
Nour Elshabassi
,
Sufia Sultana
,
Tahmida Hasnin
,
Nur Alam
,
Eric J. Nelson
,
Adam C. Levine
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1177/16094069231184123
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1177/16094069231184123
Objective: Framework Analysis (FA) and Applied Thematic Analysis (ATA) are qualitative methods that have not been as widely used/cited compared to content analysis or grounded theory. This paper compares methods of FA with ATA for mobile health (mHealth) research. The same qualitative data were analyzed separately using each methodology. The methods, utility, and results of each are compared, and recommendations made for their effective use. Methods: Formative qualitative data were collected in eight focus group discussions with physicians and nurses from three hospitals in Bangladesh. Focus groups were conducted via video conference in the local language, Bangla, and audio recorded. Audio recordings were used to complete a FA of participants’ opinions about key features of novel mHealth application (app) designed to support clinical management in patients with acute diarrhea, called FluidCalc: Rehydration Calculator for Acute Diarrhea. The resulting framework analysis was shared with the app design team and used to guide iterative development of the product for a validation study of the app. Subsequently, focus group audio recordings were transcribed in Bangla then translated into English for ATA; transcripts and codes were entered into NVivo qualitative analysis software. Code summaries and thematic memos explored the clinical utility of FluidCalc including clinicians’ attitudes about using this decision support tool. Results: Each of the two methods contributes differently to the research goal and have different implications for an mHealth research timeline. Recommendations for the effective use of each method in app development include: using FA for data reduction where specific outcomes are needed to make programming and design decisions and using ATA to capture the more nuanced issues that guide use, product implementation, training, and workflow. Conclusions: By describing how both analytical methods were used in this context, this paper provides guidance and an illustration for use of these two methods, specifically in mHealth design.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/16094069231184123
- https://journals.sagepub.com/doi/pdf/10.1177/16094069231184123
- OA Status
- gold
- Cited By
- 22
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4381548147
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4381548147Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1177/16094069231184123Digital Object Identifier
- Title
-
Use of Framework Matrix and Thematic Coding Methods in Qualitative Analysis for mHealth: The FluidCalc appWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-06-21Full publication date if available
- Authors
-
Rochelle K. Rosen, Monique Gainey, Sabiha Nasrin, Stephanie C. Garbern, Ryan Lantini, Nour Elshabassi, Sufia Sultana, Tahmida Hasnin, Nur Alam, Eric J. Nelson, Adam C. LevineList of authors in order
- Landing page
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https://doi.org/10.1177/16094069231184123Publisher landing page
- PDF URL
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https://journals.sagepub.com/doi/pdf/10.1177/16094069231184123Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://journals.sagepub.com/doi/pdf/10.1177/16094069231184123Direct OA link when available
- Concepts
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mHealth, Thematic analysis, Focus group, Computer science, Qualitative research, Timeline, Formative assessment, Psychological intervention, Nursing, Psychology, Medicine, History, Archaeology, Business, Sociology, Pedagogy, Social science, MarketingTop concepts (fields/topics) attached by OpenAlex
- Cited by
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22Total citation count in OpenAlex
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2025: 17, 2024: 5Per-year citation counts (last 5 years)
- References (count)
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30Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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