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

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, them...

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Main Authors: Jason Johnson-Peretz, Titus O. Arunga, Joi Lee, Cecilia Akatukwasa, Fredrick Atwine, Angeline Onyango, Lawrence Owino, Carol S. Camlin
Format: Article
Language:English
Published: SAGE Publishing 2024-02-01
Series:International Journal of Qualitative Methods
Online Access:https://doi.org/10.1177/16094069241236268
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author Jason Johnson-Peretz
Titus O. Arunga
Joi Lee
Cecilia Akatukwasa
Fredrick Atwine
Angeline Onyango
Lawrence Owino
Carol S. Camlin
author_facet Jason Johnson-Peretz
Titus O. Arunga
Joi Lee
Cecilia Akatukwasa
Fredrick Atwine
Angeline Onyango
Lawrence Owino
Carol S. Camlin
author_sort Jason Johnson-Peretz
collection DOAJ
description 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.
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spelling doaj.art-d533b5244c9a44f69f0481d6f836ccea2024-02-25T05:03:28ZengSAGE PublishingInternational Journal of Qualitative Methods1609-40692024-02-012310.1177/16094069241236268Remote 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 MethodJason Johnson-PeretzTitus O. ArungaJoi LeeCecilia AkatukwasaFredrick AtwineAngeline OnyangoLawrence OwinoCarol S. CamlinQualitative 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.https://doi.org/10.1177/16094069241236268
spellingShingle Jason Johnson-Peretz
Titus O. Arunga
Joi Lee
Cecilia Akatukwasa
Fredrick Atwine
Angeline Onyango
Lawrence Owino
Carol S. Camlin
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
International Journal of Qualitative Methods
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
url https://doi.org/10.1177/16094069241236268
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