Norwegian Institute of Public Health, Oslo, Norway.
International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Glob Health Action. 2022 Dec 31;15(1):2045769. doi: 10.1080/16549716.2022.2045769.
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.
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.
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.
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.
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.
在中低收入国家，唯一标识符并不通用。生物识别解决方案有可能增强这些环境中用于识别的基于名称的搜索。本文描述了一种基于手掌的生物识别解决方案与基于名称的 District Health Information Software 2（DHIS2）Android 应用程序在搜索准确性方面的比较。
在资源匮乏的环境中，比较基于手掌的生物识别解决方案与基于名称的 District Health Information Software 2（DHIS2）Android 应用程序对个体的识别能力。
该研究在孟加拉国的钱德布尔区进行。经过培训的数据收集员将 150 名育龄妇女纳入两个 Android 应用程序 - i）基于名称的 DHIS2 应用程序，和 ii）基于手掌的生物识别解决方案 - 均在平板电脑上运行。在注册后一周，由不同的研究团队成员使用这两个系统尝试重新识别每个已注册的妇女。在重新识别时，仅使用单个图像或基于文本的名称进行搜索。在研究结束时，我们采访了数据收集员。
与基于名称的 DHIS2 应用程序（61%）相比，基于手掌的生物识别应用程序首次成功识别的女性明显更多（84%）。基于名称的（7%，CI 3.7-12.3）和基于手掌的生物识别系统（5%，CI：1.9-9.4）的识别需要三次或更多次尝试的比例相似。然而，基于手掌的解决方案所需的尝试总数明显较低（平均 1.2 与 1.5，p<0.001）。在小组讨论中，数据收集员报告称，基于手掌的生物识别识别系统既准确又易于使用。
与现有的基于名称的应用程序相比，移动设备上的基于手掌的生物识别识别系统被发现是一种易于使用且准确的个体唯一识别技术。我们的研究结果表明，在目前没有唯一标识符的偏远和农村地区，移动设备上的基于手掌的生物识别技术可能是下一步建立唯一标识符的方向。
