Institute of Biomedical Engineering, Polytechnic School of Montréal, Montreal, Canada.
Department of Mechanical Engineering, Machine Design Section, Polytechnic School of Montréal, Montreal, Canada.
Epidemiol Health. 2018 Mar 29;40:e2018010. doi: 10.4178/epih.e2018010. eCollection 2018.
The aims of this study were to identify the associations of levels of severity of neurodevelopmental disorders and disabilities (NDD/D) in children with their household socioeconomic status (SES) and their frequency of visits to a healthcare provider, and to examine how the severity of disability varied with these determinants among NDD/D subgroups, in order to inform possible social policy changes and to improve access to the healthcare system.
Data from the 2006 Participation and Activity Limitation Survey on children aged 5-14 years, collected by Statistics Canada, were analyzed (n=7,072 and weighted n=340,340). Children with NDD/D constituted those with impairments in motor, speech, neurosensory, and psychological functioning, as well as those who had issues with learning/cognition and social interactions. The weighted sample size for this group was n=111,630 (total sample size for children with limitations: n=174,810). We used logistic regression to assess the associations of household SES and frequency of visits to a healthcare provider with disability level. We included NDD/D subgroups as interaction terms in the model. Multiple correspondence analysis (MCA) was conducted to develop a profile of disability level.
After-tax low income, family assistance, out-of-pocket expenses, needing but not receiving health services from a social worker, condition of the dwelling, and residential location were associated with the severity of NDD/D. Using MCA, 2 disability profiles could be identified based on access to healthcare, household income status, and condition of the dwelling.
More social interventions are needed to reduce difficulties in accessing healthcare and to diminish the socially determined health inequalities faced by children with NDD/D.
本研究旨在确定儿童神经发育障碍和残疾(NDD/D)严重程度与家庭社会经济地位(SES)及其就诊频率之间的关联,并研究残疾严重程度如何随这些决定因素在 NDD/D 亚组中发生变化,以便为可能的社会政策变化提供信息,并改善对医疗保健系统的获取。
分析了加拿大统计局 2006 年收集的 5-14 岁儿童参与和活动障碍调查的数据(n=7072 人,加权 n=340340 人)。患有 NDD/D 的儿童包括运动、言语、神经感觉和心理功能受损的儿童,以及学习/认知和社会交往存在问题的儿童。该组的加权样本量为 n=111630(有障碍的儿童总数:n=174810)。我们使用逻辑回归评估家庭 SES 和就诊频率与残疾程度的关联。我们在模型中包含 NDD/D 亚组作为交互项。采用多元对应分析(MCA)构建残疾程度特征。
税后低收入、家庭援助、自付费用、需要但未从社会工作者那里获得健康服务、住房状况和居住地点与 NDD/D 的严重程度相关。使用 MCA,可以根据获得医疗保健、家庭收入状况和住房状况确定 2 种残疾特征。
需要更多的社会干预措施来减少获取医疗保健的困难,并减少 NDD/D 儿童面临的社会决定的健康不平等。