A new screening instrument for disability in low-income and middle-income settings: application at the Iganga-Mayuge Demographic Surveillance System (IM-DSS), Uganda.

A new screening instrument for disability in low-income and middle-income settings: application at the Iganga-Mayuge Demographic Surveillance System (IM-DSS), Uganda.
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DOI:
10.1136/bmjopen-2014-005795
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发表时间:
2014-12-19
期刊:
影响因子:
2.9
通讯作者:
Hyder AA
Hyder AA
中科院分区:
医学3区
文献类型:
--
作者:
Bachani AM;Galiwango E;Kadobera D;Bentley JA;Bishai D;Wegener S;Hyder AA

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低收入国家的残疾衡量被认为是卫生信息系统的一个主要缺陷,特别是在非洲。乌干达的伊甘加和马伊格人口监测系统(imdss)提供了一个特殊的机会,可以开发基于人口的数据,为国家卫生政策提供信息,并评估乌干达在评估残疾负担方面的创新。在这项研究中,我们应用了一种新的仪器来筛查IM-DSS的身体残疾。这项研究使用了华盛顿残疾统计小组提出的一套简短问题的修改版本。该工具在家庭一级应用,并收集了所有5岁以上的IM-DSS居民的信息。该研究以IM-DSS为基础,涵盖乌干达东部Iganga和Mayuge地区的部分地区。调查包括57 247人,其中51%的研究人口是妇女。在IM-DSS中,身体残疾的总体患病率为9.4%,视力是这一人群中最常见的困难类型,沟通是最不普遍的。男性比女性更不容易观察到残疾(OR 0.75; 95% CI 0.71 ~ 0.81; p<0.001)。统计上发现残疾与年龄增长以及残疾与家庭财富状况下降之间存在显著关联。这项研究表明,修改后的短问题集可以很容易地应用于发展支助系统的设置,以获得对人口一级残疾的流行程度和类型的估计。这一工具可用于筛查其他低收入和中等收入国家的残疾情况,提供全球不同区域和人口之间可比较的估计数。
The measurement of disability in low-income countries is recognised as a major deficiency in health information systems, especially in Africa. The Iganga and Mayuge Demographic Surveillance System (IM-DSS) in Uganda provides a special opportunity to develop population-based data to inform national health policies and evaluate innovations in assessing the burden of disability in Uganda. In this study, we apply a new instrument to screen for physical disabilities at the IM-DSS. The study utilised a modified version of the short set of questions proposed by the Washington Group on Disability Statistics. The instrument was applied at the household level and information was collected on all individuals over the age of 5, who were residents of the IM-DSS. The study was based at the IM-DSS, which covers the parts of Iganga and Mayuge districts in Eastern Uganda. 57 247 individuals were included in the survey, with 51% of the study population being women. Activity limitations The overall prevalence of physical disability at the IM-DSS was 9.4%, with vision being the most common type of difficulty reported in this population, and communication being least prevalent. Disability was less likely to be observed among males than their female counterparts (OR 0.75; 95% CI 0.71 to 0.81; p<0.001). Statistically significant associations were found between disability and increasing age, as well as disability and decreasing household wealth status. This study shows that the modified short set of questions can be readily applied in a DSS setting to obtain estimates on the prevalence and types of disability at the population level. This instrument could be adapted for use to screen for disability in other LMIC settings, providing estimates that are comparable across different global regions and populations.
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