Comparison of a palm-based biometric solution with a name-based identification system in rural Bangladesh

Autor: Fatema Khatun, Rebecca Distler, Monjur Rahman, Brian O’Donnell, Noni Gachuhi, Manoj Alwani, Yang Wang, Anisur Rahman, J Frederik Frøen, Ingrid K Friberg
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Global Health Action, Vol 15, Iss 1 (2022)
Druh dokumentu: article
ISSN: 1654-9880
16549716
DOI: 10.1080/16549716.2022.2045769
Popis: 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
Databáze: Directory of Open Access Journals
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