Bibliography

Theme area
Equity in health, Health equity in economic and trade policies, Poverty and health, Monitoring equity and research to policy
Author
Loewenson R; Masotya M
Title of publication Responding to inequalities in health in urban areas in east and southern Africa: Brief 2: What does the data tell us? May 2018, TARSC, EQUINET, Harare
Date of publication
2018 May
Publication type
Document
Publication details
 
Publication status
Published
Language
 
Keywords
urban health, data, monitoring, east and southern Africa
Abstract
Cities concentrate opportunities, jobs and services, but they also concentrate risks and hazards for health. How fairly are these risks and opportunities distributed across different population groups but also across generations? How well are African cities promoting current and future wellbeing? How far are health systems responding to and planning for these changes? TARSC as cluster lead of the “Equity Watch” work in EQUINET explored these questions in 2016-7, for east and southern African (ESA) countries. This brief reports what we found from analysis of data on indicators of wellbeing. Detail on the methods, findings and analyses of data can be found in full in Loewenson R, Masotya M (2018) Inequalities in health and wellbeing in urban areas in east and southern Africa: what does the data tell us? EQUINET Discussion paper 114, TARSC, EQUINET, Harare. Available at ht tps://tinyurl.com/y9nwy9oh. A number of holistic frameworks were found in the literature. They challenge the equation of progress in development with economic growth, when this is at the cost of intense exploitation of nature and significant social inequality. They thus focus on basic needs, wellbeing and quality of life (material, social and spiritual) of the individual and community, and of current and future generations, as a common good. While context dependent and with different terms in different regions, the buen vivir paradigm, (‘living well’ or ‘wellbeing’) best captures their key features. The brief presents evidence from data in several online databases with comparable data across ESA countries to see how far they measured these dimensions of wellbeing. ESA countries face a challenge in tracking progress in wellbeing, with data missing for many of its dimensions, limited disaggregation by social group or area, and more common measurement of negative than positive outcomes.
Country
East and southern Africa region
Publisher
EQUINET
Equinet Publication Type
Briefs