ArticlemHealth2019
Consent for mobile phone surveys of non-communicable disease risk factors in low-resource settings: an exploratory qualitative study in Uganda.
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.
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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.
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.
Feasibility and Efficacy of Ambulance-Based m-Health for Pediatric Emergencies in Low Resource Settings (FEAMER) Trial
Who cites it
12 citing papers in PubMed.
- Remote consent approaches for mobile phone surveys of non-communicable disease risk factors in Colombia and Uganda: A randomized study.PloS one · 2022Trial
- The effect of mobile phone messaging to support COVID-19 vaccination in Colombia: A randomized controlled clinical trial.PLOS global public health · 2026Article
- Strengthening ethics review of the development of artificial intelligence (AI) systems in health research: a guide for research ethics committees in Uganda.BMC medical ethics · 2025Article
- Exploring barriers to IVR surveys and the effectiveness of human follow-up calls: insights from a mixed methods study in Uganda.Oxford open digital health · 2025Article
- Use of mobile phones to collect data on COVID-19: phone access and participation rates, in Rakai, Uganda.Global health action · 2024Article
- Effect of the Data Collection Method on Mobile Phone Survey Participation in Bangladesh and Tanzania: Secondary Analyses of a Randomized Crossover Trial.JMIR formative research · 2023Article
- An open-source digital contact tracing system tailored to haulage.Frontiers in digital health · 2023Article
- Ethical, Legal, and Sociocultural Issues in the Use of Mobile Technologies and Call Detail Records Data for Public Health in the East African Region: Scoping Review.Interactive journal of medical research · 2022Article
- Ethical considerations of phone-based interviews from three studies of COVID-19 impact in Bihar, India.BMJ global health · 2021Article
- Five questions to consider when conducting COVID-19 phone research.BMJ global health · 2021Article
- Adaptation of a mobile phone health survey for risk factors for noncommunicable diseases in Colombia: a qualitative study.Global health action · 2020Article
- User Perceptions and Experiences of an Interactive Voice Response Mobile Phone Survey Pilot in Uganda: Qualitative Study.JMIR formative research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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