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. Author manuscript; available in PMC: 2018 Jul 1.
Published in final edited form as: Disabil Health J. 2017 Apr 6;10(3):406–412. doi: 10.1016/j.dhjo.2017.02.010

Table 2. Description of the sample of women with and without intellectual and developmental disability.

Characteristic Women without IDD Women with IDD F test

n=4,194,938 n=1,897

n % n %
Race and ethnic identity 212.6***
 Non-Hispanic White 1,795,889 42.8% 896 47.2%
 Non-Hispanic Black 485,234 11.6% 371 19.6%
 Hispanic 812,815 19.4% 210 11.1%
 Non-Hispanic Other 380,195 9.1% 98 5.2%
 Unknown Race/Ethnicity 720,805 17.2% 322 17.0%
Age in years at admission 138.8***
 <25 1,415,245 33.8% 882 46.5%
 25-34 2,168,133 51.7% 810 42.7%
 >34 608,121 14.5% 205 10.8%
Insurance payer type 7338.5***
 Medicare 27,980 0.7% 311 16.4%
 Medicaid 1,801,506 43.0% 1,081 57.0%
 Private insurance 2,097,112 50.1% 438 23.1%
 Uninsured 261,319 6.2% 65 3.4%
Comorbidity 2593.4***
 No comorbidity 3,226,627 76.9% 524 27.6%
 One or more comorbidities 968,311 23.1&percnt; 1,373 72.4&percnt;
Median household income for patient's ZIP code 58.0***
 1st quartile:$1-$38,999 1,111,933 27.0% 752 40.6%
 2nd quartile:$39,000-$47,999 1,044,490 25.4% 512 27.6%
 3rd quartile:$48,000-$62,999 1,015,860 24.7% 366 19.7%
 4th quartile:$63,000 + 941,864 22.9% 224 12.1%
Region of hospital 75.8***
 Northeast 655,016 15.6% 364 19.2%
 Midwest 885,687 21.1% 471 24.8%
 South 1,602,552 38.2% 737 38.9%
 West 1,051,683 25.1% 325 17.1%
Location of hospital 14.7***
 Rural 469,588 11.3% 264 14.1%
 Urban 3,681,235 88.7% 1,606 85.9%
Hospital teaching status
 Non-teaching hospital 2,187,554 52.7% 821 43.9%
 Teaching hospital 1,963,269 47.3% 1,049 56.1%
Calendar year 12.6*
 2007 929,895 22.2% 363 19.1%
 2008 868,657 20.7% 382 20.1%
 2009 821,627 19.6% 395 20.8%
 2010 778,012 18.5% 369 19.5%
 2011 796,747 19.0% 388 20.5%
Age in years at admission Mean SE Mean SE -11.5***
27.6 0.002 25.9 0.14
*

p<0.05;

**

p<0.01;

***

p<0.001.

Acronyms: IDD- Intellectual and developmental disability, AHRQ- Agency for Health Care Research and Quality.

Comorbidity variable is generated using the AHRQ comorbidity software.15,25 Patients are considered to have comorbidity if their discharge records show that they have one more of the 29 types of patient comorbidities identified by AHRQ using the standard method by Elixhauser.15

Data source: Nationwide Inpatient Sample, Healthcare Cost and Utilization Project, 2007-2011