健康的社会决定因素
贫穷
卫生政策
社会保障
业务
退休金
心理干预
医疗保健
经济增长
医学
环境卫生
护理部
经济
财务
作者
Peter Lloyd‐Sherlock,Nadia Minicuci,John Beard,Somnath Chatterji
标识
DOI:10.1111/j.1468-246x.2012.01447.x
摘要
Abstract This article assesses the effectiveness of pension provision and health insurance in preventing ill health among older people in developing countries. It argues that, until recently, social protection agendas devoted insufficient attention to health risk prevention, instead focusing on the reduction of income poverty through cash transfers. The article shows that there is little reliable evidence to indicate that providing older people with pension benefits enhances their health status and that these effects should not be taken for granted by policy‐makers. The article then focuses on the effect of inclusion in health insurance schemes on health outcomes for older people, with specific reference to outcomes related to hypertension. Drawing on newly‐available data from the W orld H ealth O rganization for G hana, M exico and S outh A frica, it shows that older people with health insurance are marginally more likely to be aware of health conditions such as hypertension and more likely to have them under control. Nevertheless, the great majority of hypertensive older people, insured or uninsured, are not effectively treated. The chief barriers to treatment are shown to be mainly related to awareness and service provision, rather than financial ones. Consequently, the capacity of pensions or health insurance to enhance health outcomes for older people in such countries, including in rural areas, is heavily contingent upon health education, health screening and adequate health service provision. These interventions should be viewed as an integral element of mainstream social protection strategies, rather than adjuncts to them. Yet, in practice, social protection and health promotion continue to be treated as almost entirely separate spheres, thus presenting substantial institutional barriers to developing combined interventions.
科研通智能强力驱动
Strongly Powered by AbleSci AI