Online Program

335964
Distribution of Prevalence Estimates of People with Disabilities Across National Surveys


Monday, November 2, 2015 : 8:50 a.m. - 9:10 a.m.

Eric A. Lauer, MPH, Institute On Disability, University of New Hampshire, Durham, NH
Debra L. Brucker, PhD, Institute on Disability, University of New Hampshire, Durham, NH
Andew J. Houtenville, PhD, Department of Economics, University of New Hampshire, Durham, NH
Understanding the variation of statistics generated from national surveys is essential to creating relevant and impactful policy for people with disabilities.  Over the past two decades there has been substantial effort to improve national surveillance and data collection methods for people with disabilities.  The Americans with Disabilities Act (1990) supported improving these survey methods followed by the Affordable Care Act’s (2010) mandating standardized questions in national health surveys identifying people with disabilities.  The U.S. Census Bureau content-tested a six-questions-sequence (6QS) for self-reporting difficulties with vision, hearing, cognition, mobility, dressing and going outside the home.  However, there has been limited research examining the variation among estimates resulting from national surveys asking the 6QS.

To address this, we estimate national prevalence rates for people with disabilities across surveys, disability type, and basic demographic factors from the first year of 6QS use, 2011.  This effort compared prevalence rates among working-age (25-61) people living in the community from the National Health Interview Survey (NHIS), Survey of Income and Program Participation (SIPP), Current Population Survey (CPS), and the American Housing Survey (AHS).  Disability prevalence was statistically and substantially different across surveys and each of the six difficulties.  Among working-age people living in the community, the overall disability prevalence from the NHIS, SIPP, CPS and AHS were 18,334,000 (+/-933,000), 16,506,900 (+/-623,000), 12,094,000 (+/-367,000), and 9,192,000 (+/-335,000), respectively. Variation of this magnitude has far reaching implications for disability surveillance, policy, and resource allocation.  Further research is needed to better understand and explain statistical variation across surveys.

Learning Areas:

Biostatistics, economics
Epidemiology
Public health or related research

Learning Objectives:
Evaluate disability prevalence estimates from national survey data for the purposes of disability surveillance, policy and resource allocation. Compare the magnitude of the difference and statistical variation among disability prevalence estimates from multiple national surveys. Differentiate meaningful statistical findings from error surrounding national disability prevalence estimates derived from national data sources. Describe the strengths and limitations of disability surveillance as it relates to national prevalence estimates and the underlying questions upon which they are based. Explain how disability is being captured in national health surveys. List the six questions used to identify people with disabilities in national surveys.

Keyword(s): Disabilities, Statistics

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have worked as a researcher on multiple federally funded (CDC/NIDRR) grants focusing on disability health, statistics and employment using state and national data sources. My scientific interests include disability, statistics, national surveillance and epidemiology.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.