在东非和南部非洲国家实施扩大免疫行动全面审查中的移动电话数据收集。

Isah Mohammed Bello, Abubakar Sadiq Umar, Godwin Ubong Akpan, Joseph Okeibunor, Chukwudi Shibeshi, Messeret Eshetu, Chakauya Jethro Magwati, Teshager Fasil, Daniel Fussum, Richard Mihigo, Pascal Mkanda
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引用次数: 2

摘要

移动电话数据收集工具在收集、整理和分析卫生部门的数据方面越来越有用。在本文中,我们记录了东部和南部非洲5个国家的手机数据收集、整理和分析经验,使用开放数据工具包(ODK),其中问卷以XML形式设计和编码,使用基于android的手机上传和收集数据,并使用基于web的系统在EPI全面审查期间实时监测数据。ODK接口支持实时监控数据流,检测缺失或不完整的数据,所有访问位置的坐标位置,嵌入式图表进行基本分析。它还通过使用验证代码和开发到检查表中的约束,将入门级的数据质量错误最小化。这些好处,再加上手机在时效性、数据丢失、整理以及实时数据收集、分析和上传困难等方面比纸质提供的改进,使得手机数据收集成为一种可行的数据收集方法,需要在组织的所有调查中进一步探索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Implementation of Mobile Phone Data Collection in the Conduct EPI Comprehensive Review in East and Southern African Countries.

Implementation of Mobile Phone Data Collection in the Conduct EPI Comprehensive Review in East and Southern African Countries.

Implementation of Mobile Phone Data Collection in the Conduct EPI Comprehensive Review in East and Southern African Countries.

Implementation of Mobile Phone Data Collection in the Conduct EPI Comprehensive Review in East and Southern African Countries.

Mobile phone data collection tools are increasingly becoming very usable collecting, collating and analysing data in the health sector. In this paper, we documented the experiences with mobile phone data collection, collation and analysis in 5 countries of the East and Southern African, using Open Data Kit (ODK), where questionnaires were designed and coded on an XML form, uploaded and data collected using Android-Based mobile phones, with a web-based system to monitor data in real-time during EPI comprehensive review. The ODK interface supports in real-time monitoring of the flow of data, detection of missing or incomplete data, coordinate location of all locations visited, embedded charts for basic analysis. It also minimized data quality errors at entry level with the use of validation codes and constraint developed into the checklist. These benefits, combined with the improvement that mobile phones offer over paper-based in terms of timeliness, data loss, collation, and real-time data collection, analysis and uploading difficulties, make mobile phone data collection a feasible method of data collection that needs to be further explored in the conduct of all surveys in the organization.

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