Prevalence estimation of intellectual disability using national administrative and household survey data: The importance of survey question specificity.

Prevalence estimation of intellectual disability using national administrative and household survey data: The importance of survey question specificity.
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DOI:
10.23889/ijpds.v6i1.1342
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发表时间:
2021-01-28
影响因子:
--
通讯作者:
Murphy J
Murphy J
中科院分区:
其他
文献类型:
--
作者:
McBride O;Heslop P;Glover G;Taggart T;Hanna-Trainor L;Shevlin M;Murphy J

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智力残疾患病率估计的可变性归因于研究环境、方法和智力残疾病例定义的异质性。在具体基于国家家庭调查数据的研究中,患病率估计的可变性部分归因于用于确定智力残疾存在的调查问题的特异性水平。使用标准化差异评分和2007年北爱尔兰活动限制和残疾调查(NISALD) (N=23,689)和2011年北爱尔兰人口普查(N=1,770,217)的“智力残疾”调查数据,以下研究有两个目标。首先,我们旨在证明调查问题特异性对智力残疾患病率估计的影响。其次,我们的目标是对北爱尔兰私人家庭中智力残疾的地理差异进行可靠的估计,同时评估这一人口的社会人口、健康相关和残疾特征。使用更粗略分类的智力残疾普查数据得出的患病率估计表明,总体人口的患病率为2%,0至15岁儿童的患病率为3.8%,16岁或以上公民的患病率为1.5%。使用更明确定义的2007年NISALD数据得出的智力残疾患病率估计表明,总体人口患病率为0.5%,0至15岁儿童患病率为1.3%,16岁或以上公民患病率为0.3%。NISALD的估计值与最近的国际荟萃分析患病率估计值一致。根据NISALD的数据,大多数智力残疾患者是男性,居住在贝尔法斯特以外,经历了严重的智力残疾,并伴有多种合并症。目前的研究结果强调了调查问题特异性在估计智力残疾流行率方面的重要性,并提供了北爱尔兰智力残疾流行率的可靠估计。研究结果还证明了行政数据在检测和理解智力残疾方面的效用,并就如何最大限度地利用未来的智力残疾普查数据提出了建议
Variability in prevalence estimation of intellectual disability has been attributed to heterogeneity in study settings, methodologies, and intellectual disability case definitions. Among studies based on national household survey data specifically, variability in prevalence estimation has partly been attributed to the level of specificity of the survey questions employed to determine the presence of intellectual disability. Using standardised difference scoring, and ‘intellectual disability’ survey data from the 2007 Northern Ireland Survey on Activity Limitation and Disability (NISALD) (N=23,689) and the 2011 Northern Ireland Census (N=1,770,217) the following study had two aims. First, we aimed to demonstrate the effects of survey question specificity on intellectual disability prevalence estimation. Second, we aimed to produce reliable estimates of the geographic variation of intellectual disability within private households in Northern Ireland while also assessing the socio-demographic, health-related and disability characteristics of this population. Prevalence estimates generated using the more crudely classified intellectual disability Census data indicated a prevalence of 2% for the overall population, 3.8% for children aged between 0 and 15 years, and 1.5% for citizens aged 16 years or older. Intellectual disability prevalence estimates generated using the more explicitly defined 2007 NISALD data indicated a population prevalence of 0.5% for the overall population, 1.3% for children aged between 0 and 15 years, and 0.3% for citizens aged 16 years or older. The NISALD estimates were consistent with most recent international meta-analysis prevalence estimates. According to the NISALD data, the majority of those with an intellectual disability were male, lived outside Belfast, and experienced severe intellectual disability, with multiple comorbid health conditions. The current findings highlight the importance of survey question specificity in the estimation of intellectual disability prevalence and provide reliable prevalence estimates of intellectual disability in Northern Ireland. The findings also demonstrate the utility of administrative data for detecting and understanding intellectual disability, and inform recommendations on how to maximise use of future intellectual disability Census data
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