Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/27561
Title: | MAPPING PATTERNS AND IDENTIFYING CONCEPTUAL FRAMEWORKS IN GLOBAL HEALTH RESEARCH: A SYSTEMATIC REVIEW |
Authors: | Leckie, Michal |
Advisor: | Shannon, Harry Doubleday, Nancy |
Department: | Global Health |
Keywords: | global health;multiple correspondence analysis;decolonization;systematic review;social and structural determinants of health |
Publication Date: | 2022 |
Abstract: | Background: Global health is a complex, interdisciplinary, and contested field. It is rapidly growing and undergoing ideological and methodological changes. Despite many theoretical claims over what global health research ought to be, there are few empirical reports on what global health is, as a present field of research. The aim of this study is to: 1) determine patterns in global health research, based on key research characteristics; and 2) determine relationships between these characteristics to identify and define conceptual frameworks in global health research. Methodology: A systematic review of research in global health journals was conducted for papers published in the years 2010, 2015, and 2020. Categorical data on 17 research characteristics was extracted from all studies included in the analysis. The relationships between these characteristics was analyzed and visualized using multiple correspondence analysis, as implemented in the R’s ca package. Significance tests of independence determined relationships between pairs of variables. Results: The final analysis was done on 1033 included studies from 14 journals. 56% of the studies used a quantitative observational methodology. While 82% of research had at least one author affiliated with a high-income country, 96% of research funded (at least partially) by the Bill & Melinda Gates Foundation had at least one author affiliated with a high-income country. There was a significant relationship between the use of social and structural determinants of health and the authors’ affiliations (X2=59.06, p < 0.001), with the use of social and structural determinants of health lower among lower-income authors than high-income authors. The first and second dimensions of multiple correspondence analysis explained 38% of the variables’ deviation from independence. Conclusion: Multiple correspondence analysis offers a novel way of understanding global health research, contributing empirical data to the discourse on what lies ahead for the field of global health. The relationship between the use of social and structural determinants of health, authorship, and research methodologies point to the need for important conversations on the direction of global health research, starting from where we are at now. |
URI: | http://hdl.handle.net/11375/27561 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Leckie_Michal_W_finalsubmission2022May_GlobalHealthMSc.pdf | 1.66 MB | Adobe PDF | View/Open |
Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.