Estimating and correcting 'missing' people with disabilities in Indonesian statistics: Improving understanding of health care use at a regional level

印度尼西亚缺乏关于残疾人(PWD)的信息。由于各种原因，包括对耻辱的恐惧和许多调查中对残疾的不明确定义，全国各地对残疾人数的报告严重不足。这造成了不同的问题：政府政策缺乏重点，卫生服务质量差，残疾患者缺乏可见性。这项研究的目的是改善对印度尼西亚PWD水平和特征的估计。此外，评估、测试和应用不同的调查方法和以人口为基础的数据收集和统计分析，以估计和纠正“遗漏”和“分类错误”的残疾。该项目将使用混合方法，其中将包括对卫生专业人员的定性半结构化访谈，以及对现有数据的统计分析。首先，将使用双变量分析和回归技术来探索从统计数据中缺失的PWD。然后，该项目将使用新的和创新的量化方法来评估这一具体的实质性残疾领域。将使用使数据分析格式化的先进方法来调查丢失的数据，例如用于调查非随机丢失的值的多重补偿(MANAR)。回归分析将与潜在类别分析(LCA)相辅相成，这将有助于对“失踪”和被归类后的“错误分类”进行分类，这个新的汇总变量将允许进一步调查这些重要类别中的人的特征。

There is a lack of information about people with disability (PWD) in Indonesia. Due to various reasons,including fear of stigma and unclear definitions of disability in many surveys, there is a largeunderreporting of the numbers of PWD across the country. This creates different issues: a lack of focus ingovernment policies, poor health services and a lack of visibility of PWD. The aim of this research is toimprove estimates of the level and characteristics of PWD in Indonesia. Further, to assess, test and applydifferent methods of survey and population-based data collection and statistical analyses for estimatingand correcting 'missing' and 'misclassified' PWD. This project will use a mixed-methods approach whichwill include qualitative semi-structured interviews with health professionals alongside statistical analysisof available data. First, bivariate analysis and regression techniques will be used to explore the PWD whoare 'missing' from the statistics. The project will then use new and innovative quantitative methods forthis specific substantive area of disability. Missing data will be investigated using advanced methods formissing data analysis such as multiple imputation for investigation of values missing not at random(MNAR). Monte Carlo simulations will also be used to create records for missing PWD in Indonesia.Regression analysis will be complemented by Latent Class Analysis (LCA) which will help to performclassifications of those "missing" and those "misclassified" after they have been imputed and this newsummary variable will allow for further investigation of characteristics of people in these importantcategories.