Evidence map›Paper›PMID 40857480›Full record

ArticlePolicy studies (Policy Studies Institute)2024

Private commercial companies sharing health-relevant consumer data with health researchers in sub-Saharan Africa: an ethical exploration.

Rennie Stuart, Litewka Sergio, Vayena Effy, Chingarande George, Mtande Tiwonge, Cengiz Nezerith, Singh Jerome, Jaoko Walter, Moodley Keymanthri

Abstract read
In one paragraph

Article in Policy studies (Policy Studies Institute), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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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

9 authors.

Rennie StuartDepartment of Social Medicine, University of North Carolina-Chapel Hill, USA.
Litewka SergioMiller School of Medicine, University of Miami, USA.
Vayena EffyHealth Ethics and Policy Lab, Department of Health Science and Technology, ETH, Zurich, Switzerland.
Chingarande GeorgeDivision of Medical Ethics and Law, Stellenbosch University, South Africa.
Mtande TiwongeKamuzu University of Health Sciences, Blantyre, Malawi.
Cengiz NezerithDivision of Medical Ethics and Law, Stellenbosch University, South Africa.
Singh JeromeUniversity of KwaZulu-Natal, South Africa.
Jaoko WalterDepartment of Medical Microbiology, University of Nairobi, Kenya.
Moodley KeymanthriDivision of Medical Ethics and Law, Stellenbosch University, South Africa.

Funding

Research for Ethical Data Science in Southern Africa (REDSSA)U01MH127704 · NIMH · STELLENBOSCH UNIVERSITY · PI MOODLEY, KEYMANTHRI, RENNIE, STUART · 2021 to 2024
$1.6M
NIMH NIH HHS U01 MH127704
6 · The paper itself

Abstract

Sharing large digital-first datasets, including for purposes for which they were not originally intended, is a hallmark of the 'big data revolution'. Through their routine operations, private commercial companies collect massive amounts of diverse data from their customers, some of which may interest those working in the public sector, such as health researchers. Researchers and government agencies worldwide have been increasingly using data from commercial entities (such as Google, Microsoft, Apple, Facebook/Meta, Twitter/X and Amazon, among others) to generate health-related insights. This article explores ethical issues raised by the practice of commercial companies sharing consumer data with third-parties for the purposes of promoting health in the sub-Saharan African (SSA) context. First, as an illustrative example, it examines some of the ways telecommunication (telecom) companies in SSA shared mobility data from cellphone users with public health researchers during the COVID-19 pandemic. Second, it examines a recent debate about the ethical responsibilities of companies that collect, process and share user-generated data, drawing implications for the SSA context. Finally, since this is a relatively understudied subject, we point out some areas where future conceptual and empirical work could contribute to the development of relevant ethics guidance and regulatory governance in SSA.

Indexed as

data sharingethicshealth researchMobility dataprivate companiessub-Saharan Africa

Identifiers

PMID40857480
PMCPMC12356098

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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.