ArticleBMJ open2018
Estimates of prevalence, demographic characteristics and social factors among people with disabilities in the USA: a cross-survey comparison.
Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A Qualitative, Small-Sample Study of Employment Challenges for People with Disabilities in Saudi Arabia.Healthcare (Basel, Switzerland) · 2024Article
- The prevalence of disability and associated factors among community adults in the baseline of CHCN-BTH Cohort Study.BMC public health · 2023Article
- Comparing effects of question set order and location within a survey instrument of two commonly used disability question sets among a U.S. population of adults.Disability and health journal · 2023Article
- A Demographic Profile of Disability Assessed Patients in Selected Tertiary Care Hospitals in Coastal Karnataka, India: A Retrospective Study.Indian journal of orthopaedics · 2022Article
- Employers' attitude, intention, skills and barriers in relation to employment of vulnerable workers.Work (Reading, Mass.) · 2022Article
- Food insecurity among those with disability: Cross-survey comparison of estimates and implications for future research.Applied economic perspectives and policy · 2022Article
- Development of a Predictive Algorithm to Identify Adults With Mobility Limitations Using VA Health Care Administrative Data.Medical care research and review : MCRR · 2021Article
- Disparities in COVID-19 Vaccination Status, Intent, and Perceived Access for Noninstitutionalized Adults, by Disability Status - National Immunization Survey Adult COVID Module, United States, May 30-June 26, 2021.MMWR. Morbidity and mortality weekly report · 2021Article
- Beyond question wording: How survey design and administration shape estimates of disability.Disability and health journal · 2021Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveA national priority for disability research in the USA is the standardised identification of people with disabilities in surveillance efforts. Mandated by federal statute, six dichotomous difficulty-focused questions were implemented in national surveys to identify people with disabilities. The aim of this study was to assess the prevalence, demographic characteristics and social factors among people with disabilities based on these six questions using multiple national surveys in the USA.
settingAmerican Community Survey (ACS), Current Population Survey Annual Social and Economic Supplement (CPS-ASEC), National Health Interview Survey (NHIS) and the Survey of Income and Program Participation (SIPP).
participantsCivilian, non-institutionalised US residents aged 18 and over from the 2009 to 2014 ACS, 2009 to 2014 CPS-ASEC, 2009 to 2014 NHIS and 2008 SIPP waves 3, 7 and 10. PRIMARY AND SECONDARY OUTCOME MEASURES: Disability was assessed using six standardised questions asking people about hearing, vision, cognition, ambulatory, self-care and independent living disabilities. Social factors were assessed with questions asking people to report their education, employment status, family size, health and marital status, health insurance and income.
resultsRisk ratios and demographic distributions for people with disabilities were consistent across survey. People with disabilities were at decreased risk of having college education, employment, families with three or more people, excellent or very good self-reported health and a spouse. People with disabilities were also consistently at greater risk of having health insurance and living below the poverty line. Estimates of disability prevalence varied between surveys from 2009 to 2014 (range 11.76%-17.08%).
conclusionReplicating the existing literature, we found the estimation of disparities and inequity people with disabilities experience to be consistent across survey. Although there was a range of prevalence estimates, demographic factors for people with disabilities were consistent across surveys. Variations in prevalence estimates can be explained by survey context effects.
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