全民健康覆盖(UHC)是2015年后全球议程的关键领域,已被纳入实现与健康相关的可持续发展目标(SDGs)的目标。已经制定了一个全球框架,以监测按社会经济和人口标志分类的可持续发展目标指标。这篇综述确定了南亚城市健康研究中用于衡量社会经济地位(SES)的指标。
两名审阅者搜索了包括CochranLibrary在内的六个数据库,Medline,LILACS,WebofScience,科学直接,和《柳叶刀》独立期刊。所有涵盖城市人口的南亚健康研究,任何研究设计,用英语写的,并于2000年1月至2016年6月期间出版。两名审稿人独立筛选和评估了符合条件的文章。审稿人之间的任何冲突都由第三位审稿人解决。
我们通过初步搜索检索了3529项研究。通过筛选和应用纳入和排除标准,本综述最终纳入256篇文章进行全文综述。总共确定了25种不同的SES指数。SES指数进一步分为5个主要类别,例如,(1)基于资产的财富指数,(2)财富指数结合教育,(3)基于收入和支出的指数,(4)基于教育和职业的指数,和(5)“没有描述的索引。“研究的比例最大,不论原籍国,专题领域,和研究设计,使用基于资产的财富指数(n=142,54%)作为不平等标志,其次是基于收入和支出的指数(n=80,30%)。斯里兰卡的研究更多地使用基于收入和支出的指数,而不是基于资产的财富指数。大多数审查的研究是关于“母亲,新生儿,和儿童健康”(n=98,38%)或“非传染性疾病”(n=84,33%)。审查的研究大多来自印度(n=145,57%),孟加拉国(n=42,16%),和巴基斯坦(n=27,11%)。在审查的文章中,55%(n=140)使用主要数据,其余45%的研究使用次要数据。
本范围审查将基于资产的财富指数确定为南亚城市健康研究中最常用的衡量社会经济状况的指数。这篇综述还为该地区使用其他指标衡量SES提供了一个清晰的思路。
Universal health coverage (UHC) is a key area in post-2015 global agenda which has been incorporated as target for achieving health-related Sustainable Development Goals (SDGs). A global framework has been developed to monitor SDG indicators disaggregated by socioeconomic and demographic markers. This
review identifies the indices used to measure socio-economic status (SES) in South Asian urban health studies.
Two reviewers searched six databases including Cochran Library, Medline, LILACS, Web of Science, Science Direct, and Lancet journals independently. All South Asian health studies covering urban population, with any research-designs, written in English language, and published between January 2000 and June 2016 were included. Two reviewers independently screened and assessed for selection of eligible articles for inclusion. Any conflict between the reviewers was resolved by a third reviewer.
We retrieved 3529 studies through initial search. Through screening and applying inclusion and exclusion criteria, this
review finally included 256 articles for full-text
review. A total of 25 different SES indices were identified. SES indices were further categorized into 5 major groups, e.g., (1) asset-based wealth index, (2) wealth index combining education, (3) indices based on income and expenditure, (4) indices based on education and occupation, and (5) \"indices without description.\" The largest proportion of studies, irrespective of country of origin, thematic area, and study design, used asset-based wealth index (n = 142, 54%) as inequality markers followed by the index based on income and expenditure (n = 80, 30%). Sri Lankan studies used income- and expenditure-based indices more than asset-based wealth index. Majority of the reviewed studies were on \"maternal, neonatal, and child health\" (n = 98, 38%) or on \"non-communicable diseases\" (n = 84, 33%). Reviewed studies were mostly from India (n = 145, 57%), Bangladesh (n = 42, 16%), and Pakistan (n = 27, 11%). Among the reviewed articles, 55% (n = 140) used primary data while the rest 45% studies used secondary data.
This scoping
review identifies asset-based wealth index as the most frequently used indices for measuring socioeconomic status in South Asian urban health studies. This
review also provides a clear idea about the use of other indices for the measurement SES in the region.