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Federal Survey Sample Size Analysis: Disability, Language, and Sexual Orientation and Gender Identity

Lacey Hartman, Senior Research Fellow
Karen Turner, Senior Programmer Analyst
October 13, 2023
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The Medicaid and CHIP Payment and Access Commission contracted with the State Health Access Data Assistance Center (SHADAC) to conduct a review and sample size analysis of 13 federal population health surveys to assess the quality and availability of data for certain populations facing health inequities, including people with disabilities, language access needs, and people who indicate their sexual orientation or gender identity (SOGI). This brief provides an overview of each federal survey and identifies which surveys included questions about disability, primary language, limited English proficiency (LEP), and sexual orientation and gender identity (SOGI). Below is an overview table of the Federal surveys included in this analysis. 

Federal SurveyPeriodicityTarget PopulationStates, DC, and Territories RepresentedMost Recent Data YearTotal Population Unweighted Sample SizeTotal Unweighted Sample Size for Medicaid 1
ACSAnnualCivilian, non-institutionalized U.S. population50 states, D.C., Puerto Rico20213,252,599434,900
BRFSSAnnualU.S. adults > 18 years49 states (no Florida in 2021), D.C., Guam, Puerto Rico, Virgin Islands2021438,69350,306
CPSAnnualCivilian, non-institutionalized U.S. population50 states, D.C.2022152,73224,155
HPSPanelU.S. adults > 18 years50 states, D.C.202359,2902,764
MEPS-HC2PanelCivilian, non-institutionalized U.S. populationNo state estimates202027,8056,504
MCBS3AnnualAll individuals enrolled in MedicareNo state estimates202013,9162,593
NAMCAHPS4Fielded onceAdults enrolled in Medicaid50 states, D.C.2014272,679272,679
NHANESPeriodicCivilian, non-institutionalized U.S. populationNo state estimates202059,2542,841
NHISAnnualCivilian, non-institutionalized U.S. population50 states, D.C. when two years combined in the RDC202235,1154,918
NSCH6AnnualU.S. children < 18 years50 states, D.C. when two years combined202150,89211,259
NSDUHAnnualCivilian, non-institutionalized U.S. population, age 12 +No state estimates202158,03411,008
PRAMSAnnualPregnant women in 47 states, D.C., and Puerto RicoSee target population2021NANA
SIPP7PanelCivilian, non-institutionalized U.S. population50 states, D.C.202240,5105,835
Notes: ACS is American Community Survey. BRFSS is Behavioral Risk Factor Surveillance System. CPS is Current Population Survey. HPS is Household Pulse Survey. MEPS-HC is Medical Expenditure Panel Survey-Household Component. MCBS is Medicare Current Beneficiary Survey. NAMCAHPS is Nationwide Adult Medicaid Consumer Assessment of Healthcare Providers & Systems. NHANES is National Health and Nutrition Examination Survey. NHIS is National Health Interview Survey. NSCH is National Survey of Children’s Health. NSDUH is National Survey on Drug Use and Health. PRAMS is Pregnancy Risk Assessment Monitoring System. SIPP is Survey of Income and Program Participation. DC is District of Columbia.  RDC is Research Data Center.  NA is not available.
1 Unless otherwise noted, where relevant, Medicaid was defined using the typical MACPAC hierarchy:
                (1) Medicare; (2) Private with no Medicare; (3) Medicaid with no Medicare or private; (4) Other type of insurance with no Medicare or private; (5) Uninsured all year
2 Medicaid coverage was defined based on the most recent date of data collection (e.g., December).
3 MCBS data uses “full year dual” to define Medicaid, meaning people who were enrolled in Medicare and Medicaid all year.
4 NAMCAHPS limited to adults enrolled in Medicaid.
5 Sample size analysis conducted using 2017-2018 file, because of pandemic impacts on data collection in 2020.
6 The NSCH includes three categories of children’s coverage (public, private, uninsured); we code children in public coverage as having Medicaid, because Medicare is much less common among children.
7 SIPP data uses the annual coverage variables to define Medicaid.
Source: SHADAC analysis of federal survey data.

The findings show that the majority of surveys include questions to identify individuals with a functional disability. Still, fewer than half of these surveys include questions about intellectual disability, serious mental illness, primary language, LEP, and SOGI. Of the surveys that include these questions, the majority have a sufficient sample for reporting about Medicaid-covered individuals for each demographic group.