Evidence map›Paper›PMID 31559271›Full record

ArticlemHealth2019

Consent for mobile phone surveys of non-communicable disease risk factors in low-resource settings: an exploratory qualitative study in Uganda.

Erisa Mwaka, Janet Nakigudde, Joseph Ali, Joseph Ochieng, Kristina Hallez, Raymond Tweheyo, Alain Labrique, Dustin G Gibson, Elizeus Rutebemberwa, George Pariyo

Registry-linked trialAbstract read
In one paragraph

Article in mHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07027813 (Feasibility and Efficacy of Ambulance-Based m-Health for Pediatric Emergencies in Low Resource Settings), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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.

NCT07027813 narecruitingnot on this mapstarted 2025, after this paper: background citation

Feasibility and Efficacy of Ambulance-Based m-Health for Pediatric Emergencies in Low Resource Settings (FEAMER) Trial

TypeinterventionalSponsorWeill Medical College of Cornell UniversityRan2025 to 2026Enrolled900ConditionsEmergencies, mHealth, Child Health, Critical IllnessArmsTelemedicine, Control
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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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

10 authors.

Erisa MwakaMakerere University of College Health Sciences, Kampala, Uganda.
Janet NakiguddeMakerere University of College Health Sciences, Kampala, Uganda.
Joseph AliJohns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Joseph OchiengMakerere University of College Health Sciences, Kampala, Uganda.
Kristina HallezJohns Hopkins Berman Institute of Bioethics, Baltimore, USA.
Raymond TweheyoMakerere University of College Health Sciences, Kampala, Uganda.
Alain LabriqueJohns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Dustin G GibsonJohns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Elizeus RutebemberwaMakerere University of College Health Sciences, Kampala, Uganda.
George PariyoJohns Hopkins Bloomberg School of Public Health, Baltimore, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLack of data for timely decision-making around the prevention and control of non-communicable diseases (NCDs) presents special challenges for policy makers, especially in resource-limited settings. New data collection methods, including pre-recorded Interactive Voice Response (IVR) phone surveys, are being developed to support rapid compilation of population-level disease risk factor information in such settings. We aimed to identify information that could be used to optimize consent approaches for future mobile phone surveys (MPS) employed in Uganda and, possibly, similar contexts.

methodsWe conducted an in-depth qualitative study with key stakeholders in Uganda about consent approaches, and potential challenges, for pre-recorded IVR NCD risk factor surveys. Semi-structured interviews were conducted with 14 key informants. A contextualized thematic approach was used to interpret the results supported by representative quotes.

resultsSeveral potential challenges in designing consent approaches for MPS were identified, including low literacy and the lack of appropriate ways of assessing comprehension and documenting consent. Communication with potential respondents prior to the MPS and providing options for callbacks were suggested as possible strategies for improving comprehension within the consent process. "Opt-in" forms of authorization were preferred over "opt-out". There was particular concern about data security and confidentiality and how matters relating to this would be communicated to MPS respondents.

conclusionsThese local insights provide important information to support optimization of consent for MPS, whose use is increasing globally to advance public health surveillance and research in constructive ways.

Indexed as

consentmHealthMobile phone surveys (MPS)public health surveillanceUganda

Identifiers

PMID31559271
PMCPMC6737387

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Registered trials

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.