A protocol for a multi-site, spatially-referenced household survey in slum settings: methods for access, sampling frame construction, sampling, and field data collection

Improving Health in Slums Collaborative, (2019) A protocol for a multi-site, spatially-referenced household survey in slum settings: methods for access, sampling frame construction, sampling, and field data collection. BMC Medical Research Methodology, 19, 109. (doi: 10.1186/s12874-019-0732-x) (PMID:31146676) (PMCID:PMC6543601)

Abstract

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 In poor urban environments, such as slums, censuses can often be out-of-date or fail to record transient residents, maps may be incomplete, and access to sites can be limit, all of which prohibits obtaining an accurate sampling frame.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.

• Item Type: Articles
• Additional Information: Anthony Manyara is a member of the Improving Health in Slums Collaborative Consortia.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Manyara, Dr Anthony
• Authors: Improving Health in Slums Collaborative,
• College/School: College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > MRC/CSO SPHSU
• Journal Name: BMC Medical Research Methodology
• Publisher: BioMed Central
• ISSN: 1471-2288
• ISSN (Online): 1471-2288
• Copyright Holders: Copyright © 2019 The Authors
• First Published: First published in BMC Medical Research Methodology 19: 109
• Publisher Policy: Reproduced under a Creative Commons License