dc.contributor.author | Khatun, Fatema | |
dc.contributor.author | Distler, Rebecca | |
dc.contributor.author | Rahman, Monjur | |
dc.contributor.author | O’Donnell, Brian | |
dc.contributor.author | Gachuhi, Noni | |
dc.contributor.author | Alwani, Manoj | |
dc.contributor.author | Wang, Yang | |
dc.contributor.author | Rahman, Anisur | |
dc.contributor.author | Frøen, Jahn Frederik Alexander Claude | |
dc.contributor.author | Friberg, Ingrid Kristina | |
dc.date.accessioned | 2022-12-29T09:55:54Z | |
dc.date.available | 2022-12-29T09:55:54Z | |
dc.date.created | 2022-05-28T15:20:43Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 1654-9716 | |
dc.identifier.uri | https://hdl.handle.net/11250/3039698 | |
dc.description.abstract | Background
Unique identifiers are not universal in low- and middle-income countries. Biometric solutions have the potential to augment existing name-based searches used for identification in these settings. This paper describes a comparison of the searching accuracy of a palm-based biometric solution with a name-based database.
Objective
To compare the identification of individuals between a palm-based biometric solution to a name-based District Health Information Software 2 (DHIS2) Android application, in a low-resource setting.
Methods
The study was conducted in Chandpur district, Bangladesh. Trained data collectors enrolled 150 women of reproductive age into two android applications – i) a name-based DHIS2 application, and ii) a palm-based biometric solution – both run on tablets. One week after enrollment, a different research team member attempted to re-identify each enrolled woman using both systems. A single image or text-based name was used for searching at the time of re-identification. We interviewed data collectors at the end of the study.
Results
Significantly more women were successfully identified on the first attempt with a palm-based biometric application (84%) compared with the name-based DHIS2 application (61%). The proportion of identifications that required three or more attempts was similar between name-based (7%, CI 3.7–12.3) and palm-based biometric system (5%, CI: 1.9–9.4). However, the total number of attempts needed was significantly lower with the palm-based solution (mean 1.2 vs. 1.5, p < 0.001). In a group discussion, data collectors reported that the palm-based biometric identification system was both accurate and easy to use.
Conclusion
A palm-based biometric identification system on mobile devices was found to be an easy-to-use and accurate technology for the unique identification of individuals compared to an existing name-based application. Our findings imply that palm-based biometrics on mobile devices may be the next step in establishing unique identifiers in remote and rural settings where they are currently absent. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Comparison of a palm-based biometric solution with a name-based identification system in rural Bangladesh | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | Copyright 2022 The Author(s) | en_US |
dc.source.articlenumber | 2045769 | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |
dc.identifier.doi | 10.1080/16549716.2022.2045769 | |
dc.identifier.cristin | 2027885 | |
dc.source.journal | Global health action | en_US |
dc.relation.project | Norges forskningsråd: 223269 | en_US |
dc.identifier.citation | Global health action. 2022, 15, 2045769. | en_US |
dc.source.volume | 15 | en_US |
dc.source.issue | 1 | en_US |