Assessing Mbiotisho : a smartphone application used to collect high‐frequency health and nutrition data from difficult‐to‐reach populations

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dc.contributor.authorJensen, Nathaniel
dc.contributor.authorLepariyo, Watson
dc.contributor.authorAlulu, Vincent
dc.contributor.authorSibanda, Simbarashe
dc.contributor.authorKiage, Beatrice N.
dc.date.accessioned2023-05-26T19:10:04Z
dc.date.available2023-05-26T19:10:04Z
dc.date.issued2023
dc.description.abstractThere is an urgent need for improved and timely health and nutrition data. We developed and tested a smartphone application that caregivers from a pastoral population used to measure, record and submit high‐frequency and longitudinal health and nutrition information on themselves and their children. The data were assessed by comparing caregiver‐submitted measurements of mid–upper arm circumference (MUAC) to several benchmark data sets, including data collected by community health volunteers from the participating caregivers during the project period and data generated by interpreting photographs of MUAC measurements submitted by all participants. We found that the caregivers participated frequently and consistently over the 12‐month period of the project; most of them made several measurements and submissions in at least 48 of the 52 weeks of the project. The evaluation of data quality was sensitive to which data set was used as the benchmark, but the results indicate that the errors in the caregivers' submissions were similar to that of enumerators in other studies. We then compare the costs of this alternative approach to data collection through more conventional methods, concluding that conventional methods can be more cost‐effective for large socioeconomic surveys that value the breadth of the survey over the frequency of data, while the alternative we tested is favoured for those with objectives that are better met by high‐frequency observations of a smaller number of well‐defined outcomes.en
dc.description.sponsorshipConsortium of International Agricultural Research Centers
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10625/62021
dc.language.isoen
dc.publisherWiley Online Libraryen
dc.relation.ispartofMatern Child Nutr. 2023; e13496.en
dc.relation.journalMaternal & Child Library
dc.relation.urihttps://doi.org/10.1111/mcn.1349
dc.subjectANTHROPOMETRYen
dc.subjectCOST ANALYSISen
dc.subjectDATA COLLECTIONen
dc.subjectDATA QUALITYen
dc.subjectEPIDEMIOLOGYen
dc.subjectHEALTH AND NUTRITIONen
dc.subjectSURVEYSen
dc.subjectGLOBALen
dc.titleAssessing Mbiotisho : a smartphone application used to collect high‐frequency health and nutrition data from difficult‐to‐reach populationsen
dc.typeJournal Article (peer-reviewed)en
idrc.copyright.holder© 2023, NATHANIEL JENSEN, WATSON LEPARIYO, VINCENT ALULU, SIMBARASHE SIBANDA, BEATRICE N KIAGE
idrc.copyright.oapermissionsourceCC BY 4.0en
idrc.dspace.accessOpen Accessen
idrc.project.componentnumber108872001
idrc.project.number108872
idrc.project.titleImproving Dietary and Health Data for Decision-Making in Agriculture and Nutrition Actions in Africaen
idrc.rims.adhocgroupIDRC SUPPORTEDen

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2020-2029 / Années 2020-2029
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