Abstract

Rapid and uncontrolled urbanisation across low and middle-income countries is leading to ever expanding numbers of urban poor, defined here as slum dwellers and the homeless. It is estimated that 828 million people are currently living in slum conditions. If governments, donors and NGOs are to respond to these growing inequities they need data that adequately represents the needs of the urban poorest as well as others across the socio-economic spectrum.We report on the findings of a special session held at the International Conference on Urban Health, Dhaka 2015. We present an overview of the need for data on urban health for planning and allocating resources to address urban inequities. Such data needs to provide information on differences between urban and rural areas nationally, between and within urban communities. We discuss the limitations of data most commonly available to national and municipality level government, donor and NGO staff. In particular we assess, with reference to the WHO’s Urban HEART tool, the challenges in the design of household surveys in understanding urban health inequities.We then present two novel approaches aimed at improving the information on the health of the urban poorest. The first uses gridded population sampling techniques within the design and implementation of household surveys and the second adapts Urban HEART into a participatory approach which enables slum residents to assess indicators whilst simultaneously planning the response. We argue that if progress is to be made towards inclusive, safe, resilient and sustainable cities, as articulated in Sustainable Development Goal 11, then understanding urban health inequities is a vital pre-requisite to an effective response by governments, donors, NGOs and communities.

Highlights

  • In this report, we present an overview of the need for data on urban health for planning and allocating resources to address urban inequities

  • Elsey and Newell are with the NCIHD, University of Leeds, Leeds, Yorkshire, UK; Thomson is with the Department of Social Statistics and Demography, University of Southampton, Southampton, UK; Lin is with the The ARK Foundation, Dhaka, Bangladesh; Maharjan is with the Health Research and Social Development Forum (HERD), Kathmandu, Nepal; Agarwal is with the Urban Health Resource Centre (UHRC), New Delhi, India

  • Gridded population sampling in household surveys To overcome these issues of missing the urban poorest, HERD, and its collaborators including the Ministry of Health and Population in Nepal, adapted several innovations whilst planning an urban health survey

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Summary

INTRODUCTION

National level decision-makers, local governments, donors and communities in low income countries need data to understand and respond to these inequities, and the needs of the poorest in urban and rural areas. Many surveys follow the DHS definition of a household as Ba person or group of related and unrelated persons who usually live together in the same dwelling unit(s) or in connected premises, who acknowledge one adult member as the head of the household, and who have common cooking and eating arrangements^.10 This definition can become problematic in urban areas: for example, in many of Dhaka’s slums several families share a cooking pot; whilst in Kathmandu, several individuals, often single men, share rooms with no cooking facilities, eating instead at street vendors. This bias provides an excessively rosy picture of the health of urban dwellers and masks the conditions

Multiple Indicators
REPRESENTATION OF THE URBAN POOR IN DATA
Findings
CONCLUSIONS
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