A protocol for a multi-site, spatially-referenced household survey in slum settings: methods for access, sampling frame construction, sampling, and field data collection
A protocol for a multi-site, spatially-referenced household survey in slum settings: methods for access, sampling frame construction, sampling, and field data collection
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DOI：
10.1186/s12874-019-0732-x
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发表时间：
2019-05-30
影响因子：
4
通讯作者：
Yeboah, Godwin
中科院分区：
文献类型：
--
作者：
Bakibinga, Pauline;Kabaria, Caroline;Yeboah, Godwin
背景：家庭调查是流行病学、医学和社会研究的一种重要方法。在贫民窟等贫穷的城市环境中，人口普查往往可能过时或未能记录临时居民，地图可能不完整，进入现场可能受到限制，所有这些都妨碍获得准确的抽样框架。本文介绍了一种方法来进行调查的背景下，NIHR全球健康研究单位改善贫民窟健康的Slums.Methods：我们确定了四个关键步骤：获得现场访问，生成的抽样框架，抽样，和现场数据收集。需要利益攸关方的确认和参与来谈判准入问题。可通过以下方式生成有空间参照的抽样框架：利用卫星图像进行远程参与式绘图;当地参与式绘图和地面实况调查;以及查明每一建筑物的所有居民。我们建议使用空间调节的采样方法，以确保整个网站的空间覆盖。最后，使用平板电脑设备和开源软件的数据收集可以使用生成的样本和maps.Discussion进行：贫民窟是一个不断增长的人口谁面临一些最高的疾病负担，但谁仍然相对不足的家园。在这些地点进行调查的困难可能是造成这种差异的原因。我们提出了一个可推广的，科学有效的方法，是可持续的，并确保社区参与。
Background: Household surveys are a key epidemiological, medical, and social research method. In poor urban environments, such as slums, censuses can often be out-of-date or fail to record transient residents, maps may be incomplete, and access to sites can be limit, all of which prohibits obtaining an accurate sampling frame. This article describes a method to conduct a survey in slum settings in the context of the NIHR Global Health Research Unit on Improving Health in Slums project.Methods: We identify four key steps: obtaining site access, generation of a sampling frame, sampling, and field data collection. Stakeholder identification and engagement is required to negotiate access. A spatially-referenced sampling frame can be generated by: remote participatory mapping from satellite imagery; local participatory mapping and ground-truthing; and identification of all residents of each structure. We propose to use a spatially-regulated sampling method to ensure spatial coverage across the site. Finally, data collection using tablet devices and open-source software can be conducted using the generated sample and maps.Discussion: Slums are home to a growing population who face some of the highest burdens of disease yet who remain relatively understudied. Difficulties conducting surveys in these locations may explain this disparity. We propose a generalisable, scientifically valid method that is sustainable and ensures community engagement.