Surveys for Urban Equity (SUE): getting, and using, the data to respond to NCDs in urban areas
Project Progress :
Started Date:April 01 2017 Estimated Complete Date:March 31 2019
Surveys for Urban Equity (SUE): getting, and using, the data to respond to NCDs in urban areasCategories :
This is a multi-country and multi-method study that aims to test the feasibility, cost and appropriateness of three novel survey and visualisation methods (WorldPop data, gridded sampling and OpenStreeMap). The focus of the project is on two neglected non-communicable diseases (NCDs) namely mental ill-health and injuries. The purpose of using these novel techniques is to appropriately represent all wealth groups in urban areas, and allowing planners to see an unbiased picture of distributions of NCDs, which they can use for equitable planning and monitoring in urban areas.
We will also identify and test questions to assess mental ill-health and injuries - and develop urban-appropriate definitions of a household and measures of wealth. We will work with municipal governments to improve – with the use of the visualisation tool - the use of resultant survey data in urban planning.
Study countries: Nepal, Bangladesh and Vietnam
Research team: The core team includes research partners from South Asia and United Kingdom academics (University of Leeds and University of Southampton), a wider team of advisors, and plans to extend the current partnership to include global experts on surveys and using data within health systems.
1) Establish and strengthen collaborations with health research institutions, international and national bodies conducting cross-sectional household surveys, national and local government departments and academics to share expertise and build capabilities on survey design, assessment of wealth, mental health and injuries, data visualization and use of data to address urban inequities.
2) Adapt, in close collaboration with decision-makers in Bangladesh, Nepal and Vietnam, existing surveys to enhance understanding of mental health and injuries among urban populations: by:
a) Assessing the literature and existing questionnaires to measure mental ill-health and injury;
b) Understand perceptions, experiences and terminology of mental health and injury in slums;
c) Agree a questionnaire using questions from existing surveys adapted for urban appropriateness;
d) Assess comprehensibility and acceptability of the agreed questionnaire among urban slum residents and identify the best mode of delivery;
3) Identify appropriate measures of urban wealth for use within household surveys;
4) Assess the extent and nature of data use in planning and management processes and practices within municipalities, including key influences on the degree of data use;
5) Engage closely with municipalities to develop appropriate and feasible data visualization tools to support planning and management;
6) Pilot our novel sampling, mapping, enumeration and visualization methods.