Corburn Jason, Karanja Irene
City and Regional Planning, UC Berkeley, 228 Wurster Hall, Berkeley, CA, USA
Muungano Support Trust, Nairobi, Kenya.
Health Promot Int. 2016 Jun;31(2):258-69. doi: 10.1093/heapro/dau100. Epub 2014 Nov 24.
On an urban planet, slums or informal settlements present an increasing challenge for health promotion. The living conditions in complex informal settlements interact with how people navigate through their daily lives and political institutions to shape health inequities. In this article, we suggest that only a relational place-based characterization of informal settlements can accurately capture the forces contributing to existing urban health inequities and inform appropriate and effective health promotion interventions. We explore our relational framework using household survey, spatial mapping and qualitative focus group data gathered in partnership with residents and non-governmental organizations in the Mathare informal settlement in Nairobi, Kenya. All data interpretation included participation with local residents and organizations. We focus on the inter-relationships between inadequate sanitation and disease, social, economic and human rights for women and girls, who we show are most vulnerable from poor slum infrastructure. We suggest that this collaborative process results in co-produced insights about the meanings and relationships between infrastructure, security, resilience and health. We conclude that complex informal settlements require relational and context-specific data gathering and analyses to understand the multiple determinants of health and to inform appropriate and effective healthy city interventions.
在一个城市化的星球上,贫民窟或非正式住区对健康促进构成了日益严峻的挑战。复杂的非正式住区的生活条件与人们在日常生活和政治机构中的行事方式相互作用,从而形成了健康不平等。在本文中,我们认为,只有对非正式住区进行基于关系和地点的描述,才能准确地把握导致现有城市健康不平等的各种力量,并为适当且有效的健康促进干预措施提供依据。我们利用与肯尼亚内罗毕马萨雷非正式住区的居民和非政府组织合作收集的住户调查、空间测绘和定性焦点小组数据,来探索我们的关系框架。所有数据解读都有当地居民和组织的参与。我们关注卫生设施不足与疾病之间的相互关系,以及妇女和女孩的社会、经济和人权状况,我们发现她们最容易受到贫民窟基础设施差的影响。我们认为,这一协作过程产生了关于基础设施、安全、复原力和健康之间的意义及关系的共同见解。我们的结论是,复杂的非正式住区需要进行基于关系和因地制宜的数据收集与分析,以了解健康的多重决定因素,并为适当且有效的健康城市干预措施提供依据。