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

Bibliographic Data

ID2411684
AuthorsJason Johnson-Peretz (0000-0001-9561-6366), Titus O Arunga (0009-0002-3921-9280), Joi Lee, Cecilia Akatukwasa (0000-0002-1157-9797, Infectious Diseases Research Collaboration, Kampala, Uganda), Fredrick Atwine (0009-0004-9010-5953, Infectious Diseases Research Collaboration, Kampala, Uganda), Angeline Onyango, Lawrence Owino (0000-0002-3817-4386), Carol S Camlin (0000-0001-5615-1164)
Year2024
Volume23
Publication date2024-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Qualitative Methods (JOURNAL)
Journal identifiersISSN: 1609-4069 • E-ISSN: 1609-4069
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/16094069241236268
PMID38665976
OpenAlexW4392135489
LanguageEN
Citations received2
References cited21

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

Coding (social sciences · Data science · Epistemology · Equity (law · Grounded theory · Knowledge management · Management science · Political science · Process management · Qualitative research · Rigour · Social science · Sociology · Thematic analysis · Computer Science · Delphi Technique in Research · Engineering · Focus Groups and Qualitative Methods · Health Policy Implementation Science