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首页> 外文期刊>African Journal of Disability >Disability prevalence-context matters: A descriptive community-based survey
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Disability prevalence-context matters: A descriptive community-based survey

机译:残疾普遍发生的情况:基于社区的描述性调查

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Background: There is increasing interest in the collection of globally comparable disability data. Context may influence not only the rates but also the nature of disability, thus locally collected data may be of greater use in service delivery planning than national surveys. Objectives: The objective of this article was to explore the extent to which two areas, both under-resourced but geographically and socially distinct, differed in terms of the prevalence and patterns of disability. Method: A cross-sectional descriptive survey design was utilised, using stratified cluster sampling in two under-resourced communities in the Western Cape, South Africa. Nyanga is an informal urban settlement in Cape Town and Oudtshoorn is a semi-rural town. The Washington Group Short Set of questions was used to identify persons with disabilities (PWD), and a self-developed questionnaire obtained socio-demographic information. Results: The overall prevalence of disability was 9.7% (confidence intervals [CIs] 9.7–9.8) and the proportion of PWD was significantly different between the two sites (Chi-Sq = 129.5, p 0.001). In the urban area, the prevalence rate of any disability was 13.1% (CIs 12.0–14.3) with 0.3% (CIs 0.1–0.6) reporting inability to perform any function at all. In contrast, the semi-rural community had a lower overall prevalence rate of 6.8% (CIs 6.0% – 7.8%) but a higher rate of those unable to perform any function: 1% (CIs 0.07–1.4). Disability was associated with gender, age, unemployment and lower income status in both areas. Conclusion: Deprived areas tend to show higher disability prevalence rates than the National Census estimates. However, the discrepancy in prevalence and patterns of disability between the two under-resourced areas indicates the need for locally specific data when planning health interventions.
机译:背景:人们对收集全球可比的残疾数据越来越感兴趣。环境可能不仅影响残疾率,而且影响残疾的性质,因此,与国家调查相比,本地收集的数据在服务提供计划中的使用可能更多。目标:本文的目的是探讨两个资源匮乏但在地理和社会上都不同的地区在残疾发生率和模式方面的差异程度。方法:在南非西开普省两个资源贫乏的社区中使用分层整群抽样方法,采用横断面描述性调查设计。 Nyanga是开普敦的一个非正式城市住区,而Oudtshoorn是一个半农村的城镇。华盛顿小组简短问题集用于识别残疾人(PWD),并通过自行开发的问卷获得了社会人口统计学信息。结果:残疾的总体患病率为9.7%(置信区间[CIs]为9.7-9.8),两个部位的PWD比例显着不同(Chi-Sq = 129.5,p <0.001)。在城市地区,任何残疾的患病率为13.1%(CIs 12.0-14.3),其中0.3%(CIs 0.1-0.6)报告完全无法执行任何功能。相比之下,半农村社区的总体患病率较低,为6.8%(CIs 6.0%– 7.8%),而那些不能履行任何职能的人群的患病率较高:1%(CIs 0.07–1.4)。在这两个方面,残疾与性别,年龄,失业和较低收入状况有关。结论:贫困地区的残疾人患病率往往比全国人口普查估计的要高。但是,两个资源贫乏地区之间的患病率和残疾模式存在差异,表明在计划卫生干预措施时需要本地特定数据。

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