Academic Journal
Methods with consequences: analysing demographic diversity in global health governance and knowledge production.
| Τίτλος: | Methods with consequences: analysing demographic diversity in global health governance and knowledge production. |
|---|---|
| Συγγραφείς: | van Daalen KR; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK., Dada S; School of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, Ireland; School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland., Abimbola S; Faculty of Medicine and Health, Sydney School of Public Health, The University of Sydney, Sydney, NSW, Australia., Bhaumik S; The George Institute for Global Health India, New Delhi, India; Meta-Research and Evidence Synthesis Unit, The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia., Chilisa B; University of Botswana, Gaborone, Botswana., Deerasinghe G; Global 50/50, Cambridge, UK., Kyobutungi C; African Population and Health Research Center, Nairobi, Kenya., Peters SAE; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands; The George Institute for Global Health, School of Public Health, Imperial College London, London, UK., Phelan AL; Johns Hopkins Center for Health Security, Johns Hopkins Bloomberg School of Public Health, Baltimore, ML, USA; Johns Hopkins Institute for Planetary Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, ML, USA., Rajeev A; Global 50/50, Cambridge, UK., Redvers N; Schulich School of Medicine and Dentistry, Western University, London, ON, Canada., Robinson L; Global 50/50, Cambridge, UK. Electronic address: krv22@cam.ac.cuk., Stewart-Ibarra A; Inter-American Institute for Global Change Research, Panama City, Panama., Wyns A; Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia., Zeinali Z; Department of Global Health, University of Washington, Seattle, WA, USA., Zulu JM; Department of Health Policy and Management, School of Public Health, University of Zambia, Lusaka, Zambia. |
| Πηγή: | The Lancet. Global health [Lancet Glob Health] 2026 Jun; Vol. 14 (6), pp. 103924. Date of Electronic Publication: 2026 May 18. |
| Τύπος έκδοσης: | Journal Article; Review |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101613665 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2214-109X (Electronic) Linking ISSN: 2214109X NLM ISO Abbreviation: Lancet Glob Health Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: [England] : Elsevier Ltd. 2013- |
| Ιατρικοί όροι (MeSH): | Global Health* , Demography*, Humans |
| Περίληψη: | Structural inequities remain deeply embedded in global health governance and knowledge production, shaping which voices are heard and whose expertise and priorities are valued. Attempts to understand patterns of systematic exclusion have inspired numerous initiatives to assess the demographic diversity of those producing knowledge and governing global health. However, in the absence of systematically reported demographic data, scholars often rely on proxy self-identification (eg, cued language in online biographies assumed to be authored or endorsed by the person themself) or external inference methods (eg, based on name, photo, or language) for demographic characteristics. This Review critically examines the strengths, limitations, and ethical concerns of these different approaches, and proposes guidance based on five pillars that support their more responsible use: (1) practising critical refusal; (2) prioritising self-reported methods; (3) aligning methods with purpose and context; (4) embedding safeguards in data storage, reporting, and sharing; and (5) ensuring transparency and reflexivity. Ultimately, the challenges that these quantitative assessments seek to address, and the pitfalls of their methods, can be avoided altogether with the fundamental transformation of the norms and practices underpinning global health. (Copyright © 2026 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.) |
| Competing Interests: | Declaration of interests We declare no competing interests. |
| Entry Date(s): | Date Created: 20260518 Date Completed: 20260620 Latest Revision: 20260620 |
| Update Code: | 20260621 |
| DOI: | 10.1016/S2214-109X(26)00054-9 |
| PMID: | 42150578 |
| Βάση Δεδομένων: | MEDLINE |
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