Socioeconomic disparities and difficulties to access to healthcare services among Canadian children with neurodevelopmental disorders and disabilities
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
OBJECTIVES: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
Abstract
OBJECTIVES: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
참고문헌 (28)
- Miller AR, "Diagnostic status, functional status and complexity among Canadian children with neurodevelopmental disorders and disabilities: a population-based study", Disabil Rehabil, 35, pp.468~478 (2013)[DOI]
- Newacheck PW, "Trends in activity-limiting chronic conditions among children", Am J Public Health, 76, pp.178~184 (1986)[DOI]
- Boyle CA, "Trends in the prevalence of developmental disabilities in US children, 1997-2008", Pediatrics, 127, pp.1034~1042 (2011)[DOI]
- World report on disability 2011, "World Health Organization", ~ (2011)
- An anatomy of economic inequality in the UK-report of the national equality panel, "Hills J", Government Equalities Office, 319~373 (2010)
- Blackburn CM, "Prevalence of childhood disability and the characteristics and circumstances of disabled children in the UK: secondary analysis of the Family Resources Survey", BMC Pediatr, 10, pp.21~ (2010)[DOI]
- Emerson E, "The socio-economic circumstances of children at risk of disability in Britain", Disabil Soc, 22, pp.563~580 (2007)[DOI]
- "Children with neurodevelopmental disabilities"[URL]
- Dezateux C, "Millennium cohort study second survey: a user's guide to initial findings", pp.73~93 (2007), Centre for Longitudinal Studies
- "The 2014 update of the rural-urban chartbook"[URL]
- Heflinger CA, "Patterns of child mental health service delivery in a public system: rural children and the role of rural residence", J Behav Health Serv Res, 42, pp.292~309 (2015)[DOI]
- Beresford B, "Housing and disabled children", pp.1~12 (2008)
- Newacheck PW, "Financing health care for disabled children", Pediatrics, 81, pp.385~394 (1988)
- Participation and activity limitation survey 2006: technical and methodological report, "Statistics Canada", ~ (2007)
- Masse LC, "Patterns of participation across a range of activities among Canadian children with neurodevelopmental disorders and disabilities", Dev Med Child Neurol, 55, pp.729~736 (2013)
- Lin M, "Research commentary-too big to fail: large samples and the p-value problem", Inf Syst Res, 24, pp.906~917 (2013)[DOI]
- Greenacre MJ, "Graphical display and interpretation of antelope census data in African wildlife areas, using correspondence analysis", Ecology, 65, pp.984~997 (1984)[DOI]
- Costa PS, "The use of multiple correspondence analysis to explore associations between categories of qualitative variables in healthy ageing", J Aging Res, 2013, pp.302163~ (2013)
- Simkiss DE, "Childhood disability and socio-economic circumstances in low and middle income countries: systematic review", BMC Pediatr, 11, pp.119~ (2011)[DOI]
- Stein RE, "Measurement of children's health", Ambul Pediatr, 4(4 Suppl), pp.365~370 (2004)[DOI]
- Stabile M, "The economic costs of childhood disability", Future Child, 22, pp.65~96 (2012)[DOI]
- "Social determinants of health: the solid facts" (2003)[URL]
- O'Day B, "Primary care experiences of people with psychiatric disabilities: barriers to care and potential solutions", Psychiatr Rehabil J, 28, pp.339~345 (2005)[DOI]
- Heck KE, "Family structure, socioeconomic status, and access to health care for children", Health Serv Res, 37, pp.173~186 (2002)
- Taylor JL, "Changes in the autism behavioral phenotype during the transition to adulthood", J Autism Dev Disord, 40, pp.1431~1446 (2010)[DOI]
- Torgesen JK, "Cognitive and behavioral characteristics of children with learning disabilities: concluding comments", J Learn Disabil, 22, pp.166~168 (1989)[DOI]
- Whitehouse R, "Increasing social interactions for people with more severe learning disabilities who have difficulty developing personal relationships", J Learn Disabil, 5, pp.209~220 (2001)[DOI]
- Cury VC, "Environmental settings and families' socioeconomic status influence mobility and the use of mobility devices by children with cerebral palsy", Arq Neuropsiquiatr, 71, pp.100~105 (2013)[DOI]
