加拿大统计局有哪些调查数据来源可用于研究儿童和青少年的神经发育状况和残疾?

Rubab G. Arim, L. Findlay, D. Kohen
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引用次数: 5

摘要

对研究和更好地了解患有神经发育障碍的儿童的社会环境感兴趣的研究人员可以利用加拿大统计局各种调查的数据以及行政卫生数据库所载的信息。有选择地使用特定的调查和数据库可以提供信息,特别是当人口统计数据、样本和内容与研究人员感兴趣的问题的目标和结果一致时。残疾不仅仅是孤立的状况。他们是社会环境的关键组成部分,涉及残疾、功能和社会促进因素或障碍,如工作、学校和课外活动。社会经济因素、单亲家庭、收入和教育也在家庭如何应对儿童残疾方面发挥作用。统计数字表明,5至14岁的加拿大儿童中有5%患有残疾,其中74%被确定为患有神经发育疾病和残疾。在选择调查数据的来源时,必须考虑到许多因素,包括神经发育状况的定义,调查所涵盖的目标群体,包括或排除哪些特殊人群,以及比较组,以及调查的设计。调查分为一般健康、特定残疾以及儿童和青年等类别。它们为研究与个人健康有关的社会经济因素以及这些条件和残疾如何影响家庭提供了极好的机会。无论从调查数据中收集到多么丰富的信息,都是不够的,特别是考虑到围绕儿童和大龄青年的健康和福祉存在的数据缺口。在这里,可以使用管理数据和其他数据来补充现有数据源。行政数据提供了关于神经系统疾病的具体信息,鉴于此类调查的性质,这些信息不会在一般人口调查中收集到。虽然研究人员可以从调查数据中收集信息,如功能性健康和残疾,社会包容或排斥,以及社会决定因素在这些儿童及其家庭生活中的作用,但行政数据可以确定一般调查中未捕获的罕见神经发育状况和残疾。分析来自所有这些来源的信息可以更细致地了解经济和社会影响,以及日常生活中的功能限制,这些都是患有某些神经发育疾病和残疾的患者及其家属所经历的。加拿大统计局的调查为研究神经发育障碍和健康的社会决定因素的研究人员提供了大量信息。由于这些调查的范围是全国性的,它们为加拿大各地的人们提供了丰富的统计分析信息。这些信息可用于向研究人员、政策制定者和患有神经发育疾病和残疾的人的家庭提供信息。例如,已采用复杂的微观模拟建模技术来预测这种残疾对未来20年的健康和经济影响。这些预测对于负责设计帮助这些人的服务和项目的决策者至关重要。然而,还有很多工作要做。加拿大统计局已经开始研究利用行政数据将儿童残疾概念化的可能性,并利用在国家行政数据库中匿名化的数据研究加拿大儿童的健康状况。这些都是建立未来研究的良好基础。
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What Statistics Canada Survey Data Sources Are Available to Study Neurodevelopmental Conditions and Disabilities in Children and Youth?
Researchers with an interest in examining and better understanding the social context of children suffering from neurodevelopmental disabilities can benefit by using data from a wide variety of Statistics Canada surveys as well as the information contained in administrative health databases. Selective use of a particular survey and database can be informative particularly when demographics, samples, and content align with the goals and outcomes of the researcher’s questions of interest. Disabilities are not merely conditions in isolation. They are a key part of a social context involving impairment, function, and social facilitators or barriers, such as work, school and extracurricular activities. Socioeconomic factors, single parenthood, income, and education also play a role in how families cope with children’s disabilities. Statistics indicate that five per cent of Canadian children aged five to 14 years have a disability, and 74 per cent of these are identified as having a neurodevelopmental condition and disability. A number of factors must be taken into account when choosing a source of survey data, including definitions of neurodevelopmental conditions, the target group covered by the survey, which special populations are included or excluded, along with a comparison group, and the survey’s design. Surveys fall into categories such as general health, disability-specific, and children and youth. They provide an excellent opportunity to look at the socioeconomic factors associated with the health of individuals, as well as how these conditions and disabilities affect families. However rich the information gleaned from survey data, it is not enough, especially given the data gaps that exist around the health and well-being of children and older youths. This is where administrative and other data can be used to complement existing data sources. Administrative data offer specific information about neurological conditions that won’t be collected in general population surveys, given the nature of such surveys. While researchers can glean information from survey data such as functional health and disability, social inclusion or exclusion, and the role of social determinants in the lives of these children and their families, administrative data can identify rare neurodevelopmental conditions and disabilities not captured in general surveys. Analyzing information from all these sources can lead to a more nuanced understanding of the economic and social impacts, and functional limitations in daily living, that patients and their families experience with certain neurodevelopmental conditions and disabilities. Statistics Canada surveys offer a plethora of information for researchers interested in neurodevelopmental disabilities and social determinants of health. As these surveys are national in their scope, they provide a wealth of information for statistical analysis from people across Canada. This information can be used to inform researchers, policy makers, and families of people who live with neurodevelopmental conditions and disabilities. For example, sophisticated microsimulation modelling techniques have been conducted to project the health and economic impacts from such disabilities 20 years into the future. Such projections will be vital for policy-makers tasked with designing services and programs to assist these people. Much work remains to be done, however. Statistics Canada has already begun working on the potential for using administrative data to conceptualize childhood disability, as well as using data that has been anonymized in national administrative databases to study the health of Canada’s children. These are excellent bases from which to build future research.
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