利用生态瞬间评估数据来描述个人流动性:乌干达农村的探索性试点研究
Aleya Khalifa1,2, Laura K Beres3, Aggrey Anok4
1Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States.
JMIR formative research
|June 10, 2024
概括
移动健康应用程序成功追踪了乌干达农村地区的高流动性和健康行为. GPS数据可以为未来的健康干预提供基于地点的策略.
科学领域:
- 公共卫生 公共卫生
- 地理信息系统 (GIS) 是指地理信息系统.
- 移动健康 (mHealth) 服务提供商
背景情况:
- 地理环境影响健康行为,但农村,低收入和中等收入环境中的个人流动性和相关行为的研究不足.
- 了解健康行为空间模式对于有针对性的干预至关重要.
研究的目的:
- 在乌干达农村地区,使用GPS数据从移动健康应用程序检查个人的空间移动性和健康行为位置.
- 将健康行为 (饮酒,吸烟,不使用避孕套的性行为) 与与会者家中的特定位置联系起来.
主要方法:
- 利用了来自乌干达农村3个月生态瞬间评估试点试验的GPS数据.
- 通过每周旅行的距离,访问的独特地点和离家的时间百分比 (使用100米,400米,800米的家庭缓冲器) 来跟踪参与者的流动性.
- 通过智能手机应用程序记录位置和时间标记的健康行为 (酒精使用,吸烟,无套性行为).
主要成果:
- 46名参与者表现出高流动性,平均每周行驶303公里,其中76%的GPS点位于他们400米家庭缓冲区之外.
- 大多数参与者 (83-89%) 在多个独特地点从事在家附近以外的健康行为.
- 报告的健康行为,如饮酒,吸烟和无避孕套的性行为,均在家庭以外的3.0-3.5个独特地点.
结论:
- 一个移动健康应用程序有效地捕捉了乌干达农村地区的高流动性和多样化的健康行为.
- 将个人级别的GPS数据收集集成到移动健康干预中可以增强基于地点的行为改变策略.
- 未来在类似环境中的mHealth干预可以利用空间数据来促进更健康的行为.
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