Remote and Equitable Inductive Analysis for Global Health Teams: Using Digital Tools to Foster Equity and Collaboration in Qualitative Global Health Research via the R-EIGHT Method.

Autor: Johnson-Peretz J; Department of Obstetrics, Gynecology & Reproductives Sciences, University of California, San Francisco (UCSF), San Francisco, CA, USA., Arunga TO; Kenya Medical Research Institute (KEMRI), Kisumu, Kenya., Lee J; Department of Obstetrics, Gynecology & Reproductives Sciences, University of California, San Francisco (UCSF), San Francisco, CA, USA., Akatukwasa C; Infectious Diseases Research Collaboration, Kampala, Uganda., Atwine F; Infectious Diseases Research Collaboration, Kampala, Uganda., Onyango A; Kenya Medical Research Institute (KEMRI), Kisumu, Kenya., Owino L; Kenya Medical Research Institute (KEMRI), Kisumu, Kenya., Camlin CS; Department of Obstetrics, Gynecology & Reproductives Sciences, University of California, San Francisco (UCSF), San Francisco, CA, USA.; Department of Medicine, University of California, San Francisco (UCSF), San Francisco, CA, USA.
Jazyk: angličtina
Zdroj: International journal of qualitative methods [Int J Qual Methods] 2024 Jan-Dec; Vol. 23. Date of Electronic Publication: 2024 Feb 24.
DOI: 10.1177/16094069241236268
Abstrakt: Qualitative methods encompass a variety of research and analysis techniques which have the common aim of uncovering what cannot be captured numerically through the quantification of data. For qualitative analytical methods in the interpretivist tradition (e.g. grounded theory, phenomenological, thematic, etc), inductive coding has become a mainstay but has not always lent itself to collaborative, remote team-based data interpretation among qualitative and mixed-methods clinical researchers. Finding ways to speed the inductive coding process without sacrificing rigour while remaining accessible to geographically dispersed teams remains a priority. This is especially crucial in global health partnerships where on-the-ground researchers may have less input into codebook development compared to in-the-office researchers. We describe a newly-developed, digital approach that integrates findings from our qualitative team, which we call R-EIGHT (Remote and Equitable Inductive Analysis for Global Health Teams). The technique we developed a) speeds the process of inductive coding as a team, b) visually displays interpretive consensus, and c) when appropriate fosters streamlined integration of inductive findings into codebooks . Because it involves all team members, our approach helps break the divide between in-office and on-the-ground teams, fostering integrated and representative contributions from all globally-dispersed team members.
Competing Interests: Declaration of Conflicting Interests The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Databáze: MEDLINE
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