Evidence map›Paper›PMID 35144922›Full record

ArticleBMJ global health2022

A framework for the promotion of ethical benefit sharing in health research.

Anja Bedeker, Michelle Nichols, Taryn Allie, Tsaone Tamuhla, Peter van Heusden, Olorunyomi Olorunsogbon, Nicki Tiffin, PHA4GE Ethics and Data-Sharing Working Group

Abstract read
In one paragraph

Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Anja Bedeker *South African Medical Research Council Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa.
Michelle Nichols *College of Nursing, Medical University of South Carolina, Charleston, South Carolina, USA.ORCID 0000-0002-2078-9649
Taryn AllieComputational Biology Division, Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa.
Tsaone TamuhlaComputational Biology Division, Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa.
Peter van HeusdenSouth African Medical Research Council Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa.
Olorunyomi OlorunsogbonDepartment of Health promotion and Education, Faculty of Public Health, University of Ibadan, Ibadan, Nigeria.
Nicki TiffinSouth African Medical Research Council Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa ntiffin@sanbi.ac.za.ORCID 0000-0001-5083-2735
PHA4GE Ethics and Data-Sharing Working Group

Funding

H3ABioNet: informatics solutions for H3AfricaU24HG006941 · NHGRI · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA · 2017 to 2021
$12.9M
Medical Research Council MC_PC_MR/T037733/1NHGRI NIH HHS U24 HG006941Wellcome Trust
6 · The paper itself

Abstract

There is an increasing recognition of the importance of including benefit sharing in research programmes in order to ensure equitable and just distribution of the benefits arising from research. Whilst there are global efforts to promote benefit sharing when using non-human biological resources, benefit sharing plans and implementation do not yet feature prominently in research programmes, funding applications or requirements by ethics review boards. Whilst many research stakeholders may agree with the concept of benefit sharing, it can be difficult to operationalise benefit sharing within research programmes. We present a framework designed to assist with identifying benefit sharing opportunities in research programmes. The framework has two dimensions: the first represents microlevel, mesolevel and macrolevel stakeholders as defined using a socioecological model; and the second identifies nine different types of benefit sharing that might be achieved during a research programme. We provide an example matrix identifying different types of benefit sharing that might be undertaken during genomics research, and present a case study evaluating benefit sharing in Africa during the SARS-CoV-2 pandemic. This framework, with examples, is intended as a practical tool to assist research stakeholders with identifying opportunities for benefit sharing, and inculcating intentional benefit sharing in their research programmes from inception.

Indexed as

Biomedical ResearchCOVID-19AfricaHumansSARS-CoV-2public health

Identifiers

PMID35144922
PMCPMC8845198

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.