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Supportive Care in Cancer ; 30:S25-S26, 2022.
Article in English | EMBASE | ID: covidwho-1935806


Introduction According to Braun and Clarke, thematic analysis (TA) is a family of methods that entail familiarization with the data;generating initial codes;conceptualizing, reviewing, naming, and defining themes;and writing a report. We conducted a multicentric qualitative study investigating the experiences of individuals treated for cancer during the COVID-19 pandemic in different language regions and countries. We aim to describe our procedures for selecting an approach to TA;generating codes;and conceptualizing themes and sub themes capturing common and distinct experiences across sites. Methods Our team was comprised of multilingual investigators from Switzerland and the United States. We formed site-specific workgroups to recruit local participants and conduct interviews in one of five languages. Principal challenges were to (a) ensure consistency in qualitative data collection;(b) construct shared interpretations of qualitative data while preserving context-specific nuance;and (c) develop and maintain a large data set supporting iterative analyses by multiple workgroups. Results Adopting a pragmatic worldview, we planned and conducted a codebook TA. We validated data collection materials with each workgroup;developed a codebook;analyzed data deductively and inductively;and used MAX QDA software to facilitate data management. Table 1 details our approach. Conclusions Investigators using TA in disparate contexts face unique methodological challenges. Research to establish best practices is warranted.