What Statistics Canada Survey Data Sources are Available to Study Neurodevelopmental Conditions and Disabilities in Children and Youth?

Authors

  • Rubab G. Arim Statistics Canada
  • Leanne C. Findlay Statistics Canada
  • Dafna E. Kohen Statistics Canada

DOI:

https://doi.org/10.11575/sppp.v9i0.42601

Abstract

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.

References

A. Vignoles and S. Dex, “Making use of existing data,” in Research Methods in Educational Leadership and Management, ed. A. R. J. Briggs, M. Coleman, and M. Morrison. 3 ed. (Los Angeles, CA: Sage, 2012), 281-295.

D. Marks, “Models of Disability,” Disability and Rehabilitation 19, no. 3 (1997): 85-91.

C. Pledger, “Discourse on Disability and Rehabilitation Issues: Opportunities for Psychology,” American Psychologist 58, no. 4 (2003): 279.

I. B. Pless and P. Pinkerton, Chronic childhood disorders: Promoting patterns of development (Chicago, 1975).

R. Stein et al., “Framework for Identifying Children Who Have Chronic Conditions: the Case for a New Definition,” Journal of Pediatrics 122 (1993): 342-347.

R. E. K. Stein and D. J. Jessop, “What Diagnosis Does Not Tell: the Case for a NonCategorical Approach to Chronic Illness in Childhood,” Social Science and Medicine 29 (1989): 769-778.

World Health Organization. The International Classification of Impairments, Disabilities, and Handicaps (ICIDH). 1980. Geneva, WHO. Ref Type: Report

World Health Organization. The International Classification of Functioning, Disability, and Health (ICF). 2001. Geneva, WHO. Ref Type: Report

Mikkonen, J. and Raphael, D. Social determinants of health: the Canadian facts. 2010. Toronto, York University School of Public Health and Policy Management. Ref Type: Report

J. A. Weiss et al., “Autism in Canada: National needs assessment survey for families, individuals with autism spectrum disorder and professionals,” Available from http:// www.asdalliance.org/wp-content/uploads/2015/12/NationalNeedsAssessmentSurvey_ July-30.pdf.

E. Cohen et al., “Children With Medical Complexity: an Emerging Population for Clinical and Research Initiatives,” Pediatrics 127 (2011): 529-538.

K. A. Kuhlthau et al., “Comparing a Diagnosis List With a Survey Method to Identify Children With Chronic Health Conditions in an Urban Health Center,” Ambulatory Pediatrics 2, no. 1 (2002): 58-62.

A. R. Miller et al., “Diagnostic Status, Functional Status and Complexity Among Canadian Children With Neurodevelopmental Disorders and Disabilities: a PopulationBased Study,” Disability and Rehabilitation 35, no. 6 (2013): 468-478.

L. M. Lach et al., “The Health and Psychosocial Functioning of Caregivers of Children With Neurodevelopmental Disorders,” Disability and Rehabilitation 31, no. 8 (2009): 607-618.

C. Morris et al., “Towards a Definition of Neurodisability: a Delphi Survey,” Developmental Medicine and Child Neurology 55 (2013): 1103-1108.

C. M. Blackburn, N. J. Spencer, and J. M. Read, “Prevalence of Childhood Disability and the Characteristics and Circumstances of Disabled Children in the UK: Secondary Analysis of the Family Resources Survey,” BMC Pediatrics 10 (2010): 21.

Arim, R. A profile of persons with disabilities among Canadians aged 15 years or older from the Canadian Survey on Disability, 2012. Catalogue no. 89-654-X-No.2015001. 2015. Statistics Canada. Ref Type: Report

A. R. Miller, J. Shen, and L. C. Masse, “Child Functional Characteristics Explain Child and Family Outcomes Better Than Diagnosis: Population-Based Study of Children With Autism or Other Neurodevelopmental Disorders/Disabilities,” Health Reports 27, no. 6 (2016): 9-18.

Statistics Canada. NPHS public use microdata documentation. 1900. Ottawa, Minister of Industry. Ref Type: Report

Canadian Institute for Health Information. Health information roadmap: beginning the journey. 1-895581-32-X. 1999. Ref Type: Report

Statistics Canada. Canadian Community Health Survey (CCHS) annual component: user guide 2010 and 2009-2010 microdata files. 2011. Ottawa, ON, Minister of Industry. Ref Type: Report

Canadian Institute for Health Information. Health information roadmap: responding to the needs. 1-895581-30-3. 1999. Ref Type: Report

Statistics Canada. Microdata user guide adults in households, Health and Activity Limitations Survey, 1986. 1989. Ottawa, ON, Minister of Industry. Ref Type: Report

Statistics Canada. Microdata user guide adults in institutions, Health and Activity Limitations Survey. 1990. Ottawa, ON, Minister of Industry. Ref Type: Report

Statistics Canada. Participation and Activity Limitation Survey 2006: RDC user guide. Statistics Canada Catalogue No. 89-628-X. 2008. Ottawa, ON, Minister of Industry. Ref Type: Report

Statistics Canada. Canadian Survey on Disability, 2012: concepts and methods guide. Statistics Canada Catalogue No. 89-654-X-No.2014001. 2014. Ottawa, ON, Minister of Industry. Ref Type: Report

Statistics Canada. Survey of Living with Neurological Conditions in Canada. September 2011 to March 2012. 1900. Ottawa, Minister of Industry. Ref Type: Report

R. E. Tremblay et al., “The Montreal longitudinal and experimental study: Rediscovering the power of descriptions,” in Taking Stock of Delinquency: An Overview of Findings From Contemporary Longitudinal Studies (New York: Kluwer Academic/ Plenum, 2003), 205-254.

M. Boyle et al., “Ontario Child Health Study: I. Methodology,” Archives of General Psychiatry 44 (1987): 826-831.

Federal, Provincial and Territorial Advisory Committee on Population Health. Strategies for population health: Investing in the health of Canadians. Minister of Supplies and Services Canada. 1994. Ottawa. Ref Type: Report

R. Williams and C. Hertzman, “Promises, Promises...,” Pediatrics and Child Health 14, no. 10 (2009): 649.

M. E. Young, From early child development to human development: investing in our children’s future, ed. M. E. Young.: World Bank Publications, 2002).

J. MacKenzie, “Topical information for parliamentarians TIPS_93E,” Available from http://www.lop.parl.gc.ca/content/lop/ResearchPublications/tips/PDF/tip93-e.pdf.

Statistics Canada. Microdata user guide, National Longitudinal Survey of Children and Youth, Cycle 1. 1998. Ottawa, ON, Minister of Industry. Ref Type: Report

Statistics Canada. Microdata User Guide, National Longitudinal Survey of Children and Youth, Cycle 8, September 2008 to July 2009. 2010. Ottawa, ON, Minister of Industry. Ref Type: Report

Statistics Canada. Aboriginal Children’s Survey 2006: concepts and methods guide. Statistics Canada Catalogue No. 89-634-X-No.006. 2008. Ottawa, ON, Minister of Industry. Ref Type: Report

Statistics Canada. Survey of Young Canadians. November 2010 to March 2011. 1900. Ottawa, Minister of Industry. Ref Type: Report

Statistics Canada. General Social Survey: Victimization. February 2009 to December 2009. 1900. Ottawa, Minister of Industry. Ref Type: Report

Statistics Canada. Longitudinal and International Study of Adults. October 2011 to June 2012. 1900. Ottawa, Minister of Industry. Ref Type: Report

Cloutier, E. and Langlet, E. Aboriginal Peoples Survey, 2012: Concepts and methods guide. Statistcs Canada Catalogue No. 89-653-X-No. 002. 2014. Ref Type: Report

Statistics Canada, “General Social Survey: An overview, 2013,” Available from http://www.statcan.gc.ca/pub/89f0115x/89f0115x2013001-eng.pdf.

Statistics Canada. General Social Survey: Victimization. January 2014 to January 2015. 1900. Ottawa, Minister of Industry. Ref Type: Report

Heisz, A. Evaluation of the Canadian Household Panel Survey Pilot Content. 2013. Ottawa, Statistics Canada. Longitudinal and International Study of Adults Research Paper Series. Ref Type: Report

National Collaborating Centre for Aboriginal Health, “Access to health services as a social deteminant of First Nations, Inuit, and Métis health,” Available from http:// www.nccah-ccnsa.ca/docs/fact%20sheets/social%20determinants/Access%20to%20 Health%20Services_Eng%202010.pdf.

L. C. Masse et al., “Patterns of Participation Across a Range of Activities Among Canadian Children With Neurodevelopmental Disorders and Disabilities,” Developmental Medicine and Child Neurology 55 (2013): 729-736.

D. Feeny et al., “Multi-Attribute Health Status Classification Systems. Health Utilities Index,” Pharmacoeconomics 7 (1995): 490-502.

D. H. Feeny et al., “Multi-Attribute and Single-Attribute Utility Functions for the Health Utilities Index Mark 3 System,” Medical Care 40 (2002): 113-128.

Statistics Canada. A profile of disability in Canada, 2001. Statistics Canada Catalogue No. 89-577-XIE. 2002. Ottawa, ON, Minister of Industry. Ref Type: Report

Statistics Canada. Participation and Activity Limitation Survey 2006: technical and methodological report. Statistics Canada Catalogue No. 89-628-XIE. 2007. Ottawa, ON, Minister of Industry. Ref Type: Report

Arim, R. and Kohen, D. Identifying and conceputalizing childhood disability in survey data. Unpublished report. 2016. Ottawa, Canada, Statistics Canada. Ref Type: Report

R. Arim et al., “Psychosocial Functioning in Children With Neurodevelopmental Disorders and Externalizing Behavior Problems,” Disability and Rehabilitation 37, no. 4 (2015): 345-354.

Statistics Canada. Guide to the Labour Force Survey. Statistics Canada Catalogue No. 71-543-G. 2015. Ottawa, ON, Minister of Industry. Ref Type: Report

N. Halfon et al., “The Changing Landscape of Disability in Childhood,” Future Child 22 (2012): 13-42.

N. J. Spencer, C. M. Blackburn, and J. M. Read, “Disabling Chronic Conditions in Childhood and Socio-Economic Disadvantage: a Systematic Review and Meta-Analyses of Observational Studies,” BMJ Open 5, no. e007062 (2015).

World Health Organization and The World Bank. World report on disability 2011. 2011. Geneva, Author. Ref Type: Report

K. Denny and M. Brownell, “Taking a Social Determinants Perspective on Children’s Health and Development,” Canadian Journal of Public Health 101, no. 3 (2010): S4-S7.

Leitch, K. Reaching for the top: a report by the advisor on health children and youth. 2007. Ottawa, ON, Health Canada. Ref Type: Report

Lach, L. M., Nicholas, D., and Emery, H. Health economics and social determinants of health (HE-SDOH): A framework for understanding socioeconomic and quality of life outcomes among children with neurodisabilities and their caregivers. Unpublished research grant proposal. 2015. Ref Type: Report

R. M. Eckersley, “Culture,” in Macrosocial Determinants of Population Health, ed. S. Galea. (New York: Springer, 2007), 193-209.

Sinha, M. Spotlight on Canadians: results from the General Social Survey. Portrait of caregivers, 2012. Statistics Canada Catalogue No. 89-652-X-No.001. 2013. Ref Type: Report

Turcotte, M. Family caregiving: what are the consequences. Statistics Canada Catalogue No. 75-006-X. 2013. Ottawa, ON, Minister of Industry. Ref Type: Report

R. G. Arim et al., “Developing a Non-Categorical Measure of Child Health Using Administrative Data,” Health Reports 26, no. 2 (2015): 9-16.

Fournier-Savard, P., Mongeon, C., and Crompton, S. Help with activities of daily living for people with a disability. Canadian Social Trends Statistics Canada Catalogue No. 11008-X. 2010. Ref Type: Report

Statistics Canada. Participation and Activity Limitation Survey 2006: families of children with disabilities in Canada. Statistics Canada Catalogue No. 89-628-X-No.009. 2008. Ottawa, ON, Minister of Industry. Ref Type: Report

P. Fines et al., “Development and Implementation of Microsimulation Models of Neurological Conditions,” Health Reports 27, no. 3 (2016): 3-9.

R. Arim et al., “Exploring the Johns Hopkins Aggregated Diagnosis Groups in Administrative Data As a Measure of Child Health,” International Journal of Child Health and Human Development (2017).

N. L. Gilbert, N. Auger, and M. Tjepkema, “Stillbirth and Infant Mortality in Aboriginal Communities in Quebec,” Health Reports 26 (2015): 3-8.

T. Bushnik et al., “The 2006 Canadian Birth-Census Cohort,” Health Reports 27 (2016): 11-19.

A. Guevremont et al., “Aboriginal Children’s Acute Care Hospitalization in Canada, 2006 to 2008,” Manuscript in preparation (2016).

M. Rotermann et al., “Linking 2006 Census and Hospital Data in Canada,” Health Reports 26, no. 10 (2015): 10.

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Published

2016-09-22

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Research Papers