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Rethinking health systems in the context of urbanisation: challenges from four rapidly urbanising low-income and middle-income countries

机译:在城市化背景下反思卫生系统:来自四个快速城市化的低收入和中等收入国家的挑战

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摘要

The world is now predominantly urban; rapid and uncontrolled urbanisation continues across low-income and middle-income countries (LMICs). Health systems are struggling to respond to the challenges that urbanisation brings. While better-off urbanites can reap the benefits from the ‘urban advantage’, the poorest, particularly slum dwellers and the homeless, frequently experience worse health outcomes than their rural counterparts. In this position paper, we analyse the challenges urbanisation presents to health systems by drawing on examples from four LMICs: Nigeria, Ghana, Nepal and Bangladesh. Key challenges include: responding to the rising tide of non-communicable diseases and to the wider determinants of health, strengthening urban health governance to enable multisectoral responses, provision of accessible, quality primary healthcare and prevention from a plurality of providers. We consider how these challenges necessitate a rethink of our conceptualisation of health systems. We propose an urban health systems model that focuses on: multisectoral approaches that look beyond the health sector to act on the determinants of health; accountability to, and engagement with, urban residents through participatory decision making; and responses that recognise the plurality of health service providers. Within this model, we explicitly recognise the role of data and evidence to act as glue holding together this complex system and allowing incremental progress in equitable improvement in the health of urban populations.
机译:现在,世界主要是城市。低收入和中等收入国家(LMIC)仍在继续快速而不受控制的城市化进程。卫生系统正在努力应对城市化带来的挑战。富裕的都市人可以从“城市优势”中受益,但最贫穷的人,尤其是贫民窟的居民和无家可归的人,其健康状况往往比农村人差。在本立场文件中,我们通过借鉴四个低收入,中低收入国家(LMIC)的例子,分析了城市化对卫生系统的挑战。关键挑战包括:应对非传染性疾病的上升趋势和对健康的更广泛的决定因素;加强城市卫生治理,以采取多部门应对措施;提供可及的优质初级卫生保健,并从多个提供者中进行预防。我们考虑这些挑战如何需要重新思考我们的卫生系统概念。我们提出了一种城市卫生系统模型,该模型着重于:跨部门的方法,其范围超出卫生部门以决定健康因素;通过参与性决策对城市居民负责并与之互动;以及识别多个健康服务提供商的响应。在此模型中,我们明确认识到数据和证据的作用,将这个复杂的系统结合在一起,并在公平改善城市人口健康方面取得了进步。

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