发现孟加拉国前线卫生工作者在移动数据收集方面的差距
Monzur Morshed Patwary1, Naimul Islam2
1Emory University, Atlanta, GA 30322, United States.
Annals of global health
|October 20, 2025
概括
孟加拉国一线卫生工作者通过移动健康 (mHealth) 数据收集显示出希望,但面临挑战. 敏感信息和技术问题的数据缺口影响了准确性,需要进一步调查以改善移动健康的实施.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
背景情况:
- 前线卫生工作者越来越多地采用移动健康 (mHealth) 工具,取代了传统的纸质调查.
- 移动健康在健康数据收集的速度和成本效益方面提供了潜在的好处.
- 需要进行研究来评估移动健康数据的准确性,特别是在低收入和中等收入环境中.
研究的目的:
- 评估孟加拉国BRAC前线卫生工作者 (Shasthya Kormis或SK) 通过mHealth平台收集的社会人口和经济数据的质量.
- 确定移动健康数据收集系统中数据缺口和不准确性的根本原因.
- 为改善类似环境中的mHealth数据质量提供见解.
主要方法:
- 采用混合方法方法,将移动健康记录的二次分析与定性深度访谈相结合.
- 来自388个家庭的二次数据,通过61个地区的两阶段集群抽样收集,并使用描述性统计数据进行分析.
- 与前线卫生工作者进行了24次深入采访,并以主题编码来了解数据收集的挑战.
主要成果:
- 虽然核心人口统计变量大多是完整的,但在国家身份证/出生身份证 (84%缺失) 和电话号码 (77%) 中观察到显著的数据差距.
- 对于家庭资产 (39-70%) 和土地大小信息,也发现大量缺失的数据.
- 数据缺口的原因包括社区成员不愿分享敏感信息,回忆困难,移动连接差,技术同步错误等.
结论:
- 移动健康平台促进了全国范围的数据收集,但面临着重大数据质量问题.
- 社交因素,如对分享个人信息的犹,有助于数据差距.
- 技术挑战,包括连接和同步问题,以及回忆偏差,会对移动健康收集的数据的整体质量产生负面影响.
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