Evidence map›Paper›PMID 34591893›Full record

ArticlePloS one2021

Feasibility, acceptability and validation of wearable devices for climate change and health research in the low-resource contexts of Burkina Faso and Kenya: Study protocol.

Sandra Barteit, Valentin Boudo, Aristide Ouedraogo, Pascal Zabré, Lucienne Ouremi, Ali Sié, Stephen Munga, David Obor, Daniel Kwaro, Sophie Huhn and 5 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 53 citations in OpenAlex.

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  17. Advancing women's participation in climate action through digital health literacy: gaps and opportunities.Journal of the American Medical Informatics Association : JAMIA · 2022
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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

15 authors at 5 institutions in 6 countries.

Sandra BarteitHeidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-3806-6027
Valentin BoudoCentre de Recherche en Santé, Nouna, Burkina Faso.
Aristide OuedraogoCentre de Recherche en Santé, Nouna, Burkina Faso.
Pascal ZabréCentre de Recherche en Santé, Nouna, Burkina Faso.
Lucienne OuremiCentre de Recherche en Santé, Nouna, Burkina Faso.
Ali SiéCentre de Recherche en Santé, Nouna, Burkina Faso.
Stephen MungaKenya Medical Research Institute, Kisumu, Kenya.
David OborKenya Medical Research Institute, Kisumu, Kenya.
Daniel KwaroKenya Medical Research Institute, Kisumu, Kenya.
Sophie HuhnHeidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-7728-7156
Aditi BunkerHeidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany.
Rainer SauerbornHeidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany.
Hanns-Christian GungaInstitute of Physiology, Center for Space Medicine and extreme Environment Berlin, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Martina A MaggioniInstitute of Physiology, Center for Space Medicine and extreme Environment Berlin, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.ORCID 0000-0002-6319-8566
Till BärnighausenHeidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany.
Centre de Recherche en Santé de Nouna · BFHeidelberg University · DEKenya Medical Research Institute · KEHumboldt-Universität zu Berlin · DEUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the epidemiological transition progresses throughout sub-Saharan Africa, life lived with diseases is an increasingly important part of a population's burden of disease. The burden of disease of climate-sensitive health outcomes is projected to increase considerably within the next decades. Objectively measured, reliable population health data is still limited and is primarily based on perceived illness from recall. Technological advances like non-invasive, consumer-grade wearable devices may play a vital role in alleviating this data gap and in obtaining insights on the disease burden in vulnerable populations, such as heat stress on human cardiovascular response. The overall goal of this study is to investigate whether consumer-grade wearable devices are an acceptable, feasible and valid means to generate data on the individual level in low-resource contexts. Three hundred individuals are recruited from the two study locations in the Nouna health and demographic surveillance system (HDSS), Burkina Faso, and the Siaya HDSS, Kenya. Participants complete a structured questionnaire that comprises question items on acceptability and feasibility under the supervision of trained data collectors. Validity will be evaluated by comparing consumer-grade wearable devices to research-grade devices. Furthermore, we will collect demographic data as well as the data generated by wearable devices. This study will provide insights into the usage of consumer-grade wearable devices to measure individual vital signs in low-resource contexts, such as Burkina Faso and Kenya. Vital signs comprising activity (steps), sleep (duration, quality) and heart rate (hr) are important measures to gain insights on individual behavior and activity patterns in low-resource contexts. These vital signs may be associated with weather variables-as we gather them from weather stations that we have setup as part of this study to cover the whole Nouna and Siaya HDSSs-in order to explore changes in behavior and other variables, such as activity, sleep, hr, during extreme weather events like heat stress exposure. Furthermore, wearable data could be linked to health outcomes and weather events. As a result, consumer-grade wearables may serve as a supporting technology for generating reliable measurements in low-resource contexts and investigating key links between weather occurrences and health outcomes. Thus, wearable devices may provide insights to better inform mitigation and adaptation interventions in these low-resource settings that are direly faced by climate change-induced changes, such as extreme weather events.

Indexed as

Climate ChangeHealthHealth ResourcesResearchWearable Electronic DevicesAdolescentAdultBurkina FasoChildFeasibility StudiesFemaleHumansKenyaMaleMiddle AgedSurveys and Questionnaires

Identifiers

PMID34591893
PMCPMC8483291
OpenAlexW3202065335

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.