Evidence map›Paper›PMID 22251457›Full record

ArticlePhilosophy, ethics, and humanities in medicine : PEHM2012

Forms of benefit sharing in global health research undertaken in resource poor settings: a qualitative study of stakeholders' views in Kenya.

Geoffrey M Lairumbi, Michael Parker, Raymond Fitzpatrick, Michael C English

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Article in Philosophy, ethics, and humanities in medicine : PEHM, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

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0cells of the map it votes in
23citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Geoffrey M LairumbiChild and Newborn Health Group, Kenya Medical Research Institute, Centre for Geographic Medicine Research-Coast, Nairobi Unit, PO Box 43640, 00100 Nairobi, Kenya. lmbaabu@nairobi.kemri-wellcome.org
Michael Parker
Raymond Fitzpatrick
Michael C English

Funding

Wellcome Trust 092654Wellcome Trust 096527Wellcome Trust 097170
6 · The paper itself

Abstract

backgroundIncrease in global health research undertaken in resource poor settings in the last decade though a positive development has raised ethical concerns relating to potential for exploitation. Some of the suggested strategies to address these concerns include calls for providing universal standards of care, reasonable availability of proven interventions and more recently, promoting the overall social value of research especially in clinical research. Promoting the social value of research has been closely associated with providing fair benefits to various stakeholders involved in research. The debate over what constitutes fair benefits; whether those that addresses micro level issues of justice or those focusing on the key determinants of health at the macro level has continued. This debate has however not benefited from empirical work on what stakeholders consider fair benefits. This study explores practical experiences of stakeholders involved in global health research in Kenya, over what benefits are fair within a developing world context. METHODS AND

resultsWe conducted in-depth interviews with key informants drawn from within the broader health research system in Kenya including researchers from the mainstream health research institutions, networks and universities, teaching hospitals, policy makers, institutional review boards, civil society organisations and community representative groups.The range of benefits articulated by stakeholders addresses both micro and macro level concerns for justice by for instance, seeking to engage with interests of those facilitating research, and the broader systemic issues that make resource poor settings vulnerable to exploitation. We interpret these views to suggest a need for global health research to engage with current crises that face people in these settings as well as the broader systemic issues that produce them.

conclusionGlobal health research should provide benefits that address both the micro and macro level issues of justice in order to forestall exploitation. Embracing the two is however challenging in terms of how the various competing interests/needs should be balanced ethically, especially in the absence of structures to guide the process. This challenge should point to the need for greater dialogue to facilitate value clarification among stakeholders.

Indexed as

Biomedical ResearchDeveloping CountriesGlobal HealthSocial ValuesHumansInterviews as TopicKenya

Identifiers

PMID22251457
PMCPMC3274462

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.