Evidence map›Paper›PMID 31368808›Full record

ArticleClinical trials (London, England)2019

Objective monitoring of mosquito bednet usage and the ethical challenge of privacy revelations about study bystanders: Ethical analysis.

Amy L Fairchild

Abstract readComment
PubMed Publisher
In one paragraph

Article in Clinical trials (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Amy L FairchildCollege of Public Health, The Ohio State University, Columbus, OH, USA.ORCID 0000-0002-1292-7212
The Ohio State University · US

Funding

HIV cure studies: risk, risk perception, and ethicsR01AI114617 · NIAID · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI EYAL, NIR · 2015 to 2018
$3.2M
NIAID NIH HHS R01 AI114617
6 · The paper itself

Abstract

Clinical trials and public health surveillance of bednet use for malaria prevention involve the ongoing collection of sensitive data from private settings. This article discusses risks to bystanders, who have not consented to participating in surveillance or research, but whose behavior may nevertheless be recorded. In the case of clinical trials, community consultation and consent processes are one well-accepted way to address potential risk to bystanders. I argue that the intrusive monitoring required by some bednet trials may render this type of consent insufficient. In these cases, either bystanders should be enrolled as participants and give consent or less intrusive monitoring methods should be used. Validated monitoring methods should also have relevance for practice beyond use in a clinical trial. Considering the global impact of malaria, applying these methods to public health surveillance would be a practical use. Existing justifications for surveillance without consent, which sometimes result in coercive public health measures, could apply to the case of bednets. Particularly in cases where there is the potential for harm to others, individuals who were not the original subjects of disease reporting are often caught in the surveillance net. Although an argument can be made that malaria meets this bar, considerations of feasibility, sustainability, and trust make intrusive surveillance unsustainable in the case of a daily, lifelong behavior such as bednet use.

Indexed as

MalariaMosquito NetsAnimalsEthical AnalysisHumansPrivacyPublic Healthadherence monitoringbednetsClinical trialsharm to otherinformed consentmalaria preventionprivacypublic health ethicsresearch ethicssurveillancethird party consent

Identifiers

PMID31368808
OpenAlexW2965359721

What OpenQuestion holds

Textmetadata
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.