Literature DB >> 29428988

Why Public Health Researchers Should Consider Using Disability Data from the American Community Survey.

Carlos Siordia1, Lori A Hoepner2, Allen N Lewis3.   

Abstract

The United States (US) federal government allocates hundreds of billions of dollars to provide resources to Americans with disabilities, older adults, and the poor. The American Community Survey (ACS) influences the distribution of those resources. The specific aim of the project is to introduce health researchers to Public Use Microdata Sample file from 2009 to 2011. The overall goal of our paper is to promote the use of ACS data relevant to disability status. This study provides prevalence estimates of three disability related items for the population at or over the age of 15 years who reside in one of the continental states. When population weights are applied to the 7,198,221 individuals in the sample under analysis, they are said to represent 239,641,088 of their counterparts in the US population. Detailed tabulations by state (provided as Microsoft Excel® spreadsheets in ACS output) clearly show disability prevalence varies from state-to-state. Because analyses of the ACS data have the ability to influence resources aiding individuals with physical mobility challenges, its use should be promoted. Particular attention should be given to monetary allocations which will improve accessibility of the existing built environment for the individuals with mobility impairment.

Entities:  

Keywords:  Data; Disability; Disability prevalence; Public health; Research

Mesh:

Year:  2018        PMID: 29428988     DOI: 10.1007/s10900-018-0478-0

Source DB:  PubMed          Journal:  J Community Health        ISSN: 0094-5145


  17 in total

1.  New HHS data standards for race, ethnicity, sex, primary language, and disability status.

Authors:  Rashida Dorsey; Garth Graham
Journal:  JAMA       Date:  2011-12-07       Impact factor: 56.272

2.  Barriers to wheelchair use in the winter.

Authors:  Jacquie D Ripat; Cara L Brown; Karen D Ethans
Journal:  Arch Phys Med Rehabil       Date:  2015-02-07       Impact factor: 3.966

3.  The EXODUS of public health. What history can tell us about the future.

Authors:  Amy L Fairchild; David Rosner; James Colgrove; Ronald Bayer; Linda P Fried
Journal:  Am J Public Health       Date:  2010-01       Impact factor: 9.308

4.  Differences in the Community Built Environment Influence Poor Perceived Health Among Persons With Spinal Cord Injury.

Authors:  Amanda L Botticello; Tanya Rohrbach; Nicolette Cobbold
Journal:  Arch Phys Med Rehabil       Date:  2015-05-18       Impact factor: 3.966

5.  Are Health Insurance Item Allocations in the American Community Survey Missing Completely at Random?

Authors:  C Siordia
Journal:  J Frailty Aging       Date:  2013

6.  Disability Estimates between Same- and Different-Sex Couples: Microdata from the American Community Survey (2009-2011).

Authors:  Carlos Siordia
Journal:  Sex Disabil       Date:  2015-03

7.  Environmental barriers and supports to everyday participation: a qualitative insider perspective from people with disabilities.

Authors:  Joy Hammel; Susan Magasi; Allen Heinemann; David B Gray; Susan Stark; Pamela Kisala; Noelle E Carlozzi; David Tulsky; Sofia F Garcia; Elizabeth A Hahn
Journal:  Arch Phys Med Rehabil       Date:  2015-04       Impact factor: 3.966

Review 8.  The myth and reality of disability prevalence: measuring disability for research and service.

Authors:  Suzanne McDermott; Margaret A Turk
Journal:  Disabil Health J       Date:  2010-11-05       Impact factor: 2.554

9.  Mobility disability and the urban built environment.

Authors:  Philippa Clarke; Jennifer A Ailshire; Michael Bader; Jeffrey D Morenoff; James S House
Journal:  Am J Epidemiol       Date:  2008-07-30       Impact factor: 4.897

10.  Precision of Disability Estimates for Southeast Asians in the American Community Survey 2008-2010 Microdata.

Authors:  Carlos Siordia; Vi Donna Le
Journal:  Cent Asian J Glob Health       Date:  2013-03-25
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