Improving household surveys and use of data to address health inequities in three Asian cities: protocol for the Surveys for Urban Equity (SUE) mixed methods and feasibility study

 

Helen Elsey1, Ak Narayan Poudel1, Tim Ensor1, Tolib Mirzoev1, James Nicholas Newell1, Joseph Paul Hicks1, Christopher Cartwright1, David Wong1, Caroline Tait1, Sushil Baral2, Radheshyam Bhattarai2, Sudeepa Khanal2, Rajeev Dhungel2, Subash Gajurel2, Shraddha Manandhar3, Saidur Mashreky4, Junnatul Ferdoush4, Rumana Huque5, Tarana Ferdous5, Shammi Nasreen5, Hoang Van Minh6, Duong Minh Duc6, Bao Ngoc6, Dana Thomson7,8,9, Hilary Wallace10

Author affiliations

1Nuffield Centre for International Health and Development, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK

2Health Research and Social Development Forum—International, Kathmandu, Nepal

3Helen Keller International, Kathmandu, Nepal

4Centre for Injury Prevention and Research Bangladesh (CIPRB), Dhaka, Bangladesh

5Advancement through Research and Knowledge (ARK Foundation), Dhaka, Bangladesh

6Centre for Population Health Sciences, Hanoi University of Public Health (HUPH), Hanoi, Vietnam

7Flowminder Foundation, Stockholm, Sweden

8WorldPop, Department of Geography and Environment, University of Southampton, Southampton, UK

9Department of Social Statistics, University of Southampton, Southampton, UK

10School of Medicine, University of Notre Dame, Fremantle, Western Australia, Australia

 

Abstract

Introduction: As rapid urbanisation transforms the sociodemographic structures within cities, standard survey methods, which have remained unchanged for many years, under-represent the urban poorest. This leads to an overly positive picture of urban health, distorting appropriate allocation of resources between rural and urban and within urban areas. Here, we present a protocol for our study which (i) tests novel methods to improve representation of urban populations in household surveys and measure mental health and injuries, (ii) explores urban poverty and compares measures of poverty and ‘slumness’ and (iii) works with city authorities to understand, and potentially improve, utilisation of data on urban health for planning more equitable services. Methods and analysis: We will conduct household surveys in Kathmandu, Hanoi and Dhaka to test novel methods: (i) gridded population sampling; (ii) enumeration using open-access online maps and (iii) one-stage versus two-stage cluster sampling. We will test reliability of an observational tool to categorise neighbourhoods as slum areas. Within the survey, we will assess the appropriateness of a short set of questions to measure depression and injuries. Questionnaire data will also be used to compare asset-based, consumption-based and income-based measures of poverty. Participatory methods will identify perceptions of wealth in two communities in each city. The analysis will combine quantitative and qualitative findings to recommend appropriate measures of poverty in urban areas. We will conduct qualitative interviews and establish communities of practice with government staff in each city on use of data for planning. Framework approach will be used to analyse qualitative data allowing comparison across city settings. Ethics and dissemination: Ethical approvals have been granted by ethics committees from the UK, Nepal, Bangladesh and Vietnam. Findings will be disseminated through conference papers, peer-reviewed open access articles and workshops with policy-makers and survey experts in Kathmandu, Hanoi and Dhaka.

Full-text link: Improving household surveys and use of data to address health inequities in three Asian cities: protocol for the Surveys for Urban Equity (SUE) mixed methods and feasibility study

Nguồn: Viện Khoa học Sức khỏe (NIHS), Bệnh viện Bạch Mai

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