SlideShare a Scribd company logo
MEDICAID UNDERCOUNT IN THE AMERICAN 
COMMUNITY SURVEY 
Joanna Turner 
State Health Access Data Assistance Center (SHADAC) 
University of Minnesota 
JSM meetings, Boston, MA 
August 5, 2014
Click Acknowledgments 
to edit Master title style 
Click • Funding to edit for Master this work text styles 
is supported by the U.S. 
Census Bureau 
Second level 
Third level 
Fourth level 
• Collaboration between Census Bureau and SHADAC 
Fifth level 
to extend previous Medicaid undercount research to 
the American Community Survey (ACS) 
• Collaborators: 
• Brett O’Hara (Census Bureau) 
• Kathleen Call, Michel Boudreaux, Brett Fried (SHADAC) 
2
Click Background 
to edit Master title style 
• Administrative data on public assistance programs are not 
Click to edit Master text styles 
sufficient Second level 
for policy making 
• Not timely 
Third level 
• No population Fourth level 
denominator 
• Incomplete or lower quality covariates 
Fifth level 
• Population surveys fill these gaps 
• Yet they universally undercount public program enrollment 
described in administrative data 
• Food stamps, public housing, TANF (Lewis, Elwood, and Czajka 1998; 
Meyer, 2003) 
• Medicaid (Call et al 2008, 2012) 
3
Research Click to edit focus 
Master title style 
• Click Describe to edit Master the concordance text styles 
of Medicaid reporting in 
the Second ACS level 
and enrollment data in administrative 
records 
Third level 
Fourth level 
• Compare “misreports” across characteristics of: 
Fifth level 
• Individuals: age, income, state 
• Medicaid enrollment: scope of benefit, tenure 
• Bias to uninsurance estimates 
4
Click Data source: to edit Master American title Community 
style 
Survey (ACS) 
Click to edit Master text styles 
• Large, continuous, multi-mode survey of the US 
Second level 
population residing in housing units and group 
Third level 
quarters 
Fourth level 
• Added health Fifth level 
insurance question in 2008 
• One simple multi-part question on health insurance 
type 
• Unique data source due to its size 
• Subgroup analysis (small demographic groups and low 
levels of geography) 
5
ACS health insurance question part “d” 
Click to edit Master title style 
Click to edit Master text styles 
Second level 
“Is this person CURRENTLY covered by any of the 
following Third level 
types of health insurance or health 
Fourth level 
coverage Fifth plans? 
level 
d. Medicaid, Medical Assistance, or any kind of government-assistance 
plan for those with low incomes or a 
disability?” 
6
Data Click source: to edit Master Medicaid title Statistical 
style 
Information System (MSIS) 
Click to edit Master text styles 
• Medicaid enrollment records 
Second level 
• Longitudinal database of enrollment 
Third level 
• Records Fourth level 
originate in the states and are reported to the 
Fifth level 
federal government 
• Includes regular Medicaid and Expansion CHIP 
• Tracks all levels of enrollment (e.g., emergency & family 
planning) 
• Not a perfect gold standard 
7
Definition Click to edit differences 
Master title style 
Click • MSIS to edit includes Master comprehensive text styles 
and partial coverage 
Second • ACS level 
comprehensive coverage is a subset 
Third level 
Fourth level 
• ACS includes Medicaid, CHIP, and state-specific 
Fifth level 
public programs (will refer to coverage as “Medicaid 
Plus”) 
• MSIS Medicaid and Expansion CHIP coverage is a 
subset 
8
Investigating Click to edit Master survey title response style 
errors 
• Click Discordance to edit Master between text styles 
MSIS and ACS can come from 
definitional differences and survey response error 
Second level 
Third level 
Fourth level 
• Our focus here is on survey response errors which 
Fifth level 
we investigate by merging the ACS and the MSIS 
9
Investigating survey response errors (2) 
Click to edit Master title style 
• Click Use to linking edit Master methodology text styles 
developed by the Census 
Bureau’s Second level 
Center for Administrative Records 
Research Third level 
and Applications 
• Personal Fourth level 
Identification Key (PIK) 
Fifth level 
• Research conducted at the MN Census Research 
Data Center located at the University of Minnesota 
• http://mnrdc.umn.edu/ 
10
Investigating survey response errors (3) 
Click to edit Master title style 
Click • Consider to edit Master a case text to have styles 
Medicaid enrollment if they 
are Second covered level 
on the day of ACS interview by full 
benefit Third coverage level 
from Medicaid or Expansion CHIP 
Fourth level 
• Adjust ACS person weights to account for unlinkable 
Fifth level 
records 
• Although all persons were linked estimates reported 
here are for the civilian non-institutionalized 
population 
• Explicit reports of coverage (not edited) 
11
Linked and unlinked data and misreports 
Click to edit Master title style 
Click to edit Master text styles 
Second level 
Third level 
Fourth level 
Fifth level 
12
Click Coverage to edit by Master age 
title style 
10% 8% 
Click to edit Master text styles 
13% 
“Misreports” 
Second level 
Third level 
Fourth level 
Fifth level 
Any Medicaid Plus 
13 
12% 
77% 81% 
14.9%* 
13%* 
1%* 
27%* 
72%* 71%* 
Total 0-18 19-64 65+ 
Uninsured 
Other coverage 
Source: 2009 MSIS and ACS civilian non-institutionalized population as analyzed by SHADAC. 
Explicit reports (not edited) 
* Indicates that estimate is statistically significantly different (at p<.01) from the estimate 
for the 0-18 age group.
Click to edit Master title style 
9% 11%* 11%* 9%* 
Click to edit Master text styles 
Second level 
Third level 
Fourth level 
Fifth level 
83% 
71%* 
64%* 61%* 
8% 
18%* 
26%* 30%* 
0-138 139-249 250-399 400+ 
Uninsured 
Other coverage 
Any Medicaid Plus 
Coverage by FPL 
14 
Source: 2009 MSIS and ACS civilian non-institutionalized population as analyzed by SHADAC. 
Explicit reports (not edited) 
* Indicates that estimate is statistically significantly different (at p<.01) from the estimate 
for the 0-138 FPL group.
Click to edit Master title style 
Click to edit Master text styles 
Second level 
Third level 
Fourth level 
Fifth level 
15 
Percent of linked cases reporting Medicaid 
Plus enrollment on the ACS interview date 
Source: 2008 MSIS and ACS civilian non-institutionalized 
population as analyzed by SHADAC; Explicit reports only
Coverage by benefit type and scope 
Click to edit Master title style 
Click to edit Master text styles 
Second level 
Third level 
Fourth level 
77% 75F%ift*h level 
46% 
77%* 
13% 16%* 
35% 
13%* 
10% 9%* 
19% 
10%* 
Medicaid Expansion CHIP Partial Full 
Uninsured 
Other coverage 
Any Medicaid Plus 
16 
Benefit Type Benefit Scope 
Source: 2009 MSIS and ACS civilian non-institutionalized population as analyzed by SHADAC. 
Explicit reports (not edited) 
* Indicates that estimate is statistically significantly different (at p<.01) from the estimate 
for those with Medicaid, and for those with partial benefits, respectively.
Click to edit Master title style 
Click to edit Master text styles 
Second level 
Third level 
Fourth level 
82% Fifth level 
73%* 
59%* 
41%* 
12% 
14%* 
18%* 
24%* 
6% 
13%* 
23%* 
34%* 
Continuously 
Enrolled from 
Oct 2008-Mar 2010 
(18 months) 
Enrolled For 50-99% 
of Months 
Enrolled For 25-49% Enrolled for 0-24% 
Uninsured 
Other coverage 
Any Medicaid Plus 
Coverage by enrollment tenure 
17 
Source: 2009 MSIS and ACS civilian non-institutionalized population as analyzed by SHADAC. 
Explicit reports (not edited) 
* Indicates that estimate is statistically significantly different (at p<.01) from the estimate 
for those who were continuously enrolled.
Click Bias to to estimates edit Master of title uninsurance 
style 
• Click A key to edit policy Master metric text is styles 
the share of the population that 
lacks any type of coverage 
Second level 
Third level 
• Uninsurance is a residual category, so undercounting 
Fourth level 
Medicaid partially contributes to bias in uninsurance 
Fifth level 
• We cannot estimate bias from other sources of coverage 
• We cannot estimate bias from those that report Medicaid, 
but are in fact uninsured 
18
Upper Click to bound edit of Master bias to title uninsurance 
style 
attributable to Medicaid misreporting: 
Explicit Click to edit reports Master text only 
styles 
Second level 
Third level 
Fourth level 
Fifth level 
Count in 
millions 
Percent 
(SE) 
Original uninsured estimate 40.9 15.4 
(0.05) 
Share of the uninsured that 
are linked 
3.2 7.9 
(0.07) 
Partially adjusted uninsured 
estimate 
37.7 14.2 
(0.04) 
19 
Source: 2008 MSIS and ACS civilian non-institutionalized 
population as analyzed by SHADAC.
Click Summary to edit of Master results 
title style 
• Although not perfectly comparable, the undercount in the 
Click to edit Master text styles 
ACS appears in line with other surveys 
Second • Large level 
(23%), but slightly better than some other surveys 
Third level 
(keep in mind ACS includes Medicaid and other means-tested 
Fourth level 
public coverage) 
Fifth level 
• As with other surveys the undercount increases with age 
and family income and appears to vary by state 
• The undercount translates into an overestimate of 
uninsurance of 1.2 percentage points or 3.2 million but it 
is likely that there are other offsetting influences 
• ACS represents a valuable source of policy analysis 
20
Click to edit Master title style 
Contact Information 
Click to edit Master text styles 
Second level 
Third level 
Fourth level 
turn0053@umn.edu 
Fifth level 
Joanna Turner 
612.624.4802 
www.shadac.org 
@shadac
Click Linked to file: edit enrolled Master title in Medicaid style 
on 
ACS interview date: Explicit reports 
Click to edit Master text styles 
only 
Second level 
Third level 
Fourth level 
Fifth level 
22 
ACS 
Yes No 
MSIS 
Yes 
No
Click to edit Master title style 
Previous research 
• SNACC Phases I-VI (2007-2010) 
Click to edit Master text styles 
• CPS (CY 2005) implied undercount of about 41% 
Second level 
• NHIS (CY 2002) implied undercount of about 33% 
Third level 
• MEPS (CY 2002) implied undercount of about 18% 
Fourth level 
• Known enrollees coded as uninsured was 18%, 9%, and 8% 
Fifth level 
respectively for CPS, NHIS and MEPS 
• O’Hara (2009) 
• ACS Content Test (CY 2006) implied undercount of 34.4% for the 
non-elderly 
• Turner & Boudreaux (2010) 
• 2008 ACS produces coverage estimates similar to other population 
surveys (e.g. 2008 NHIS) 
23
Coverage by type for linked cases enrolled 
in Medicaid on ACS interview date: 
Explicit reports only 
Click to edit Master title style 
Click to edit Master text styles 
Second level 
Any Medicaid Plus 
NOT Any Third Medicaid level 
Plus 
Fourth level 
Fifth level 
77.1 (0.12) 
22.9 (0.12) 
Employer sponsored insurance 8.3 (0.08) 
Direct purchase 2.2 (0.05) 
Medicare 3.3 (0.04) 
TRICARE 0.3 (0.01) 
VA 0.1 (0.01) 
Uninsured 9.9 (0.08) 
24 
Source: 2008 MSIS and ACS civilian non-institutionalized 
population as analyzed by SHADAC. 
Percent (Standard error)

More Related Content

Viewers also liked

Medicaid Reporting Errors in Four National Surveys: ACS, CPS, MEPS, and NHIS
Medicaid Reporting Errors in Four National Surveys: ACS, CPS, MEPS, and NHISMedicaid Reporting Errors in Four National Surveys: ACS, CPS, MEPS, and NHIS
Medicaid Reporting Errors in Four National Surveys: ACS, CPS, MEPS, and NHIS
soder145
 
Single Payer Health Care Systems
Single Payer Health Care SystemsSingle Payer Health Care Systems
Single Payer Health Care Systems
soder145
 
The Individual Mandate: Theory and Practice
The Individual Mandate: Theory and PracticeThe Individual Mandate: Theory and Practice
The Individual Mandate: Theory and Practice
soder145
 
Pres msu sept22_blewett
Pres msu sept22_blewettPres msu sept22_blewett
Pres msu sept22_blewett
soder145
 
Early Impacts of the ACA on Health Insurance Coverage in Minnesota
Early Impacts of the ACA on Health Insurance Coverage in MinnesotaEarly Impacts of the ACA on Health Insurance Coverage in Minnesota
Early Impacts of the ACA on Health Insurance Coverage in Minnesota
soder145
 
Changing Trends In Employer-Sponsored Insurance Before and Since the Great Re...
Changing Trends In Employer-Sponsored Insurance Before and Since the Great Re...Changing Trends In Employer-Sponsored Insurance Before and Since the Great Re...
Changing Trends In Employer-Sponsored Insurance Before and Since the Great Re...
soder145
 
Coverage and Access to Care for Children with Chronic Health Conditions in th...
Coverage and Access to Care for Children with Chronic Health Conditions in th...Coverage and Access to Care for Children with Chronic Health Conditions in th...
Coverage and Access to Care for Children with Chronic Health Conditions in th...
soder145
 
Ziller_AcademyHealth2014
Ziller_AcademyHealth2014Ziller_AcademyHealth2014
Ziller_AcademyHealth2014
soder145
 

Viewers also liked (8)

Medicaid Reporting Errors in Four National Surveys: ACS, CPS, MEPS, and NHIS
Medicaid Reporting Errors in Four National Surveys: ACS, CPS, MEPS, and NHISMedicaid Reporting Errors in Four National Surveys: ACS, CPS, MEPS, and NHIS
Medicaid Reporting Errors in Four National Surveys: ACS, CPS, MEPS, and NHIS
 
Single Payer Health Care Systems
Single Payer Health Care SystemsSingle Payer Health Care Systems
Single Payer Health Care Systems
 
The Individual Mandate: Theory and Practice
The Individual Mandate: Theory and PracticeThe Individual Mandate: Theory and Practice
The Individual Mandate: Theory and Practice
 
Pres msu sept22_blewett
Pres msu sept22_blewettPres msu sept22_blewett
Pres msu sept22_blewett
 
Early Impacts of the ACA on Health Insurance Coverage in Minnesota
Early Impacts of the ACA on Health Insurance Coverage in MinnesotaEarly Impacts of the ACA on Health Insurance Coverage in Minnesota
Early Impacts of the ACA on Health Insurance Coverage in Minnesota
 
Changing Trends In Employer-Sponsored Insurance Before and Since the Great Re...
Changing Trends In Employer-Sponsored Insurance Before and Since the Great Re...Changing Trends In Employer-Sponsored Insurance Before and Since the Great Re...
Changing Trends In Employer-Sponsored Insurance Before and Since the Great Re...
 
Coverage and Access to Care for Children with Chronic Health Conditions in th...
Coverage and Access to Care for Children with Chronic Health Conditions in th...Coverage and Access to Care for Children with Chronic Health Conditions in th...
Coverage and Access to Care for Children with Chronic Health Conditions in th...
 
Ziller_AcademyHealth2014
Ziller_AcademyHealth2014Ziller_AcademyHealth2014
Ziller_AcademyHealth2014
 

Similar to Medicaid Undercount in the American Community Survey

Establishing a Baseline for the Affordable Care Act: How Accessible and Affor...
Establishing a Baseline for the Affordable Care Act: How Accessible and Affor...Establishing a Baseline for the Affordable Care Act: How Accessible and Affor...
Establishing a Baseline for the Affordable Care Act: How Accessible and Affor...
soder145
 
Profile of Minnesota's Uninsured: Summary of Key Findings
Profile of Minnesota's Uninsured: Summary of Key FindingsProfile of Minnesota's Uninsured: Summary of Key Findings
Profile of Minnesota's Uninsured: Summary of Key Findings
soder145
 
Pres m nsure_jan14_blewettsonier
Pres m nsure_jan14_blewettsonierPres m nsure_jan14_blewettsonier
Pres m nsure_jan14_blewettsonier
soder145
 
Pres m nsure_jan14_blewettsonier
Pres m nsure_jan14_blewettsonierPres m nsure_jan14_blewettsonier
Pres m nsure_jan14_blewettsonier
soder145
 
Pres apha nov6_gonzales
Pres apha nov6_gonzalesPres apha nov6_gonzales
Pres apha nov6_gonzales
soder145
 
Using Small Area Estimates for ACA Outreach
Using Small Area Estimates for ACA OutreachUsing Small Area Estimates for ACA Outreach
Using Small Area Estimates for ACA Outreach
soder145
 
Medicaid Undercount in the American Community Survey: Preliminary Results
Medicaid Undercount in the American Community Survey: Preliminary ResultsMedicaid Undercount in the American Community Survey: Preliminary Results
Medicaid Undercount in the American Community Survey: Preliminary Results
soder145
 
Pres appam nov9_gonzales
Pres appam nov9_gonzalesPres appam nov9_gonzales
Pres appam nov9_gonzales
soder145
 
Single Payer Health Care Systems
Single Payer Health Care SystemsSingle Payer Health Care Systems
Single Payer Health Care Systems
soder145
 
Using the SNACC Linking Project to Impute Medicaid in the Current Population ...
Using the SNACC Linking Project to Impute Medicaid in the Current Population ...Using the SNACC Linking Project to Impute Medicaid in the Current Population ...
Using the SNACC Linking Project to Impute Medicaid in the Current Population ...
soder145
 
Pres Wss13 Nov2008 Davern
Pres Wss13 Nov2008 DavernPres Wss13 Nov2008 Davern
Pres Wss13 Nov2008 Davern
soder145
 
Using Linked Survey and Administrative Records Studies to Partially Correct S...
Using Linked Survey and Administrative Records Studies to Partially Correct S...Using Linked Survey and Administrative Records Studies to Partially Correct S...
Using Linked Survey and Administrative Records Studies to Partially Correct S...
soder145
 
Single Payer Health Care Systems - FINAL
Single Payer Health Care Systems - FINALSingle Payer Health Care Systems - FINAL
Single Payer Health Care Systems - FINAL
soder145
 
A Comparison of the Health Insurance Coverage Estimates from Four National Su...
A Comparison of the Health Insurance Coverage Estimates from Four National Su...A Comparison of the Health Insurance Coverage Estimates from Four National Su...
A Comparison of the Health Insurance Coverage Estimates from Four National Su...
soder145
 
Results from the 2017 Minnesota Health Access Survey
Results from the 2017 Minnesota Health Access SurveyResults from the 2017 Minnesota Health Access Survey
Results from the 2017 Minnesota Health Access Survey
Caroline Au-Yeung, MPH
 
State-Level Estimates for Tracking Health Reform Impact: Opportunities and Ch...
State-Level Estimates for Tracking Health Reform Impact: Opportunities and Ch...State-Level Estimates for Tracking Health Reform Impact: Opportunities and Ch...
State-Level Estimates for Tracking Health Reform Impact: Opportunities and Ch...
soder145
 
Fitting Square Pegs Into Round Holes: Linking Medicaid and Current Population...
Fitting Square Pegs Into Round Holes: Linking Medicaid and Current Population...Fitting Square Pegs Into Round Holes: Linking Medicaid and Current Population...
Fitting Square Pegs Into Round Holes: Linking Medicaid and Current Population...
soder145
 
Medicaid vs. Marketplace Coverage for Near-Poor Adults: Impact on Out-of-Pock...
Medicaid vs. Marketplace Coverage for Near-Poor Adults: Impact on Out-of-Pock...Medicaid vs. Marketplace Coverage for Near-Poor Adults: Impact on Out-of-Pock...
Medicaid vs. Marketplace Coverage for Near-Poor Adults: Impact on Out-of-Pock...
soder145
 
Using Linked Survey and Administrative Records Studies to Partially Correct S...
Using Linked Survey and Administrative Records Studies to Partially Correct S...Using Linked Survey and Administrative Records Studies to Partially Correct S...
Using Linked Survey and Administrative Records Studies to Partially Correct S...
soder145
 
Acs cps-sahie-webinar final
Acs cps-sahie-webinar finalAcs cps-sahie-webinar final
Acs cps-sahie-webinar final
soder145
 

Similar to Medicaid Undercount in the American Community Survey (20)

Establishing a Baseline for the Affordable Care Act: How Accessible and Affor...
Establishing a Baseline for the Affordable Care Act: How Accessible and Affor...Establishing a Baseline for the Affordable Care Act: How Accessible and Affor...
Establishing a Baseline for the Affordable Care Act: How Accessible and Affor...
 
Profile of Minnesota's Uninsured: Summary of Key Findings
Profile of Minnesota's Uninsured: Summary of Key FindingsProfile of Minnesota's Uninsured: Summary of Key Findings
Profile of Minnesota's Uninsured: Summary of Key Findings
 
Pres m nsure_jan14_blewettsonier
Pres m nsure_jan14_blewettsonierPres m nsure_jan14_blewettsonier
Pres m nsure_jan14_blewettsonier
 
Pres m nsure_jan14_blewettsonier
Pres m nsure_jan14_blewettsonierPres m nsure_jan14_blewettsonier
Pres m nsure_jan14_blewettsonier
 
Pres apha nov6_gonzales
Pres apha nov6_gonzalesPres apha nov6_gonzales
Pres apha nov6_gonzales
 
Using Small Area Estimates for ACA Outreach
Using Small Area Estimates for ACA OutreachUsing Small Area Estimates for ACA Outreach
Using Small Area Estimates for ACA Outreach
 
Medicaid Undercount in the American Community Survey: Preliminary Results
Medicaid Undercount in the American Community Survey: Preliminary ResultsMedicaid Undercount in the American Community Survey: Preliminary Results
Medicaid Undercount in the American Community Survey: Preliminary Results
 
Pres appam nov9_gonzales
Pres appam nov9_gonzalesPres appam nov9_gonzales
Pres appam nov9_gonzales
 
Single Payer Health Care Systems
Single Payer Health Care SystemsSingle Payer Health Care Systems
Single Payer Health Care Systems
 
Using the SNACC Linking Project to Impute Medicaid in the Current Population ...
Using the SNACC Linking Project to Impute Medicaid in the Current Population ...Using the SNACC Linking Project to Impute Medicaid in the Current Population ...
Using the SNACC Linking Project to Impute Medicaid in the Current Population ...
 
Pres Wss13 Nov2008 Davern
Pres Wss13 Nov2008 DavernPres Wss13 Nov2008 Davern
Pres Wss13 Nov2008 Davern
 
Using Linked Survey and Administrative Records Studies to Partially Correct S...
Using Linked Survey and Administrative Records Studies to Partially Correct S...Using Linked Survey and Administrative Records Studies to Partially Correct S...
Using Linked Survey and Administrative Records Studies to Partially Correct S...
 
Single Payer Health Care Systems - FINAL
Single Payer Health Care Systems - FINALSingle Payer Health Care Systems - FINAL
Single Payer Health Care Systems - FINAL
 
A Comparison of the Health Insurance Coverage Estimates from Four National Su...
A Comparison of the Health Insurance Coverage Estimates from Four National Su...A Comparison of the Health Insurance Coverage Estimates from Four National Su...
A Comparison of the Health Insurance Coverage Estimates from Four National Su...
 
Results from the 2017 Minnesota Health Access Survey
Results from the 2017 Minnesota Health Access SurveyResults from the 2017 Minnesota Health Access Survey
Results from the 2017 Minnesota Health Access Survey
 
State-Level Estimates for Tracking Health Reform Impact: Opportunities and Ch...
State-Level Estimates for Tracking Health Reform Impact: Opportunities and Ch...State-Level Estimates for Tracking Health Reform Impact: Opportunities and Ch...
State-Level Estimates for Tracking Health Reform Impact: Opportunities and Ch...
 
Fitting Square Pegs Into Round Holes: Linking Medicaid and Current Population...
Fitting Square Pegs Into Round Holes: Linking Medicaid and Current Population...Fitting Square Pegs Into Round Holes: Linking Medicaid and Current Population...
Fitting Square Pegs Into Round Holes: Linking Medicaid and Current Population...
 
Medicaid vs. Marketplace Coverage for Near-Poor Adults: Impact on Out-of-Pock...
Medicaid vs. Marketplace Coverage for Near-Poor Adults: Impact on Out-of-Pock...Medicaid vs. Marketplace Coverage for Near-Poor Adults: Impact on Out-of-Pock...
Medicaid vs. Marketplace Coverage for Near-Poor Adults: Impact on Out-of-Pock...
 
Using Linked Survey and Administrative Records Studies to Partially Correct S...
Using Linked Survey and Administrative Records Studies to Partially Correct S...Using Linked Survey and Administrative Records Studies to Partially Correct S...
Using Linked Survey and Administrative Records Studies to Partially Correct S...
 
Acs cps-sahie-webinar final
Acs cps-sahie-webinar finalAcs cps-sahie-webinar final
Acs cps-sahie-webinar final
 

More from soder145

Trends and Disparities in Children's Health Insurance: New Data and the Impli...
Trends and Disparities in Children's Health Insurance: New Data and the Impli...Trends and Disparities in Children's Health Insurance: New Data and the Impli...
Trends and Disparities in Children's Health Insurance: New Data and the Impli...
soder145
 
Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...
Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...
Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...
soder145
 
Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...
Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...
Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...
soder145
 
Modeling State-based Reinsurance: One Option for Stabilization of the Individ...
Modeling State-based Reinsurance: One Option for Stabilization of the Individ...Modeling State-based Reinsurance: One Option for Stabilization of the Individ...
Modeling State-based Reinsurance: One Option for Stabilization of the Individ...
soder145
 
2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...
2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...
2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...
soder145
 
Exploring the New State-Level Opioid Data On SHADAC's State Health Compare
Exploring the New State-Level Opioid Data On SHADAC's State Health CompareExploring the New State-Level Opioid Data On SHADAC's State Health Compare
Exploring the New State-Level Opioid Data On SHADAC's State Health Compare
soder145
 
Ibd intersectionality
Ibd intersectionalityIbd intersectionality
Ibd intersectionality
soder145
 
Who gets it right
Who gets it rightWho gets it right
Who gets it right
soder145
 
Mn ltss projection model
Mn ltss projection modelMn ltss projection model
Mn ltss projection model
soder145
 
Modeling financial eligibility, ltss
Modeling financial eligibility, ltssModeling financial eligibility, ltss
Modeling financial eligibility, ltss
soder145
 
Poster, advancements in care coordination mn sim
Poster, advancements in care coordination mn simPoster, advancements in care coordination mn sim
Poster, advancements in care coordination mn sim
soder145
 
Poster, section 1115 waivers
Poster, section 1115 waiversPoster, section 1115 waivers
Poster, section 1115 waivers
soder145
 
Modeling state based reinsurance
Modeling state based reinsuranceModeling state based reinsurance
Modeling state based reinsurance
soder145
 
Comparing Health Insurance Measurement Error (CHIME) in the ACS & CPS
Comparing Health Insurance Measurement Error (CHIME) in the ACS & CPSComparing Health Insurance Measurement Error (CHIME) in the ACS & CPS
Comparing Health Insurance Measurement Error (CHIME) in the ACS & CPS
soder145
 
Who Gets It Right? Characteristics Associated with Accurate Reporting of Heal...
Who Gets It Right? Characteristics Associated with Accurate Reporting of Heal...Who Gets It Right? Characteristics Associated with Accurate Reporting of Heal...
Who Gets It Right? Characteristics Associated with Accurate Reporting of Heal...
soder145
 
The Impact of Medicaid Expansion on Employer Provision of Health Insurance
The Impact of Medicaid Expansion on Employer Provision of Health InsuranceThe Impact of Medicaid Expansion on Employer Provision of Health Insurance
The Impact of Medicaid Expansion on Employer Provision of Health Insurance
soder145
 
Physician Participation in Medi-Cal: Is Supply Meeting Demand?
Physician Participation in Medi-Cal: Is Supply Meeting Demand? Physician Participation in Medi-Cal: Is Supply Meeting Demand?
Physician Participation in Medi-Cal: Is Supply Meeting Demand?
soder145
 
Shadac acs cps-webinar 2016-final_sept21
Shadac acs cps-webinar 2016-final_sept21Shadac acs cps-webinar 2016-final_sept21
Shadac acs cps-webinar 2016-final_sept21
soder145
 
2014 SAHIE: Overview with Census Experts
2014 SAHIE: Overview with Census Experts2014 SAHIE: Overview with Census Experts
2014 SAHIE: Overview with Census Experts
soder145
 
Adding complexity to an already difficult task: Monitoring the impact of the ...
Adding complexity to an already difficult task: Monitoring the impact of the ...Adding complexity to an already difficult task: Monitoring the impact of the ...
Adding complexity to an already difficult task: Monitoring the impact of the ...
soder145
 

More from soder145 (20)

Trends and Disparities in Children's Health Insurance: New Data and the Impli...
Trends and Disparities in Children's Health Insurance: New Data and the Impli...Trends and Disparities in Children's Health Insurance: New Data and the Impli...
Trends and Disparities in Children's Health Insurance: New Data and the Impli...
 
Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...
Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...
Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...
 
Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...
Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...
Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...
 
Modeling State-based Reinsurance: One Option for Stabilization of the Individ...
Modeling State-based Reinsurance: One Option for Stabilization of the Individ...Modeling State-based Reinsurance: One Option for Stabilization of the Individ...
Modeling State-based Reinsurance: One Option for Stabilization of the Individ...
 
2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...
2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...
2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...
 
Exploring the New State-Level Opioid Data On SHADAC's State Health Compare
Exploring the New State-Level Opioid Data On SHADAC's State Health CompareExploring the New State-Level Opioid Data On SHADAC's State Health Compare
Exploring the New State-Level Opioid Data On SHADAC's State Health Compare
 
Ibd intersectionality
Ibd intersectionalityIbd intersectionality
Ibd intersectionality
 
Who gets it right
Who gets it rightWho gets it right
Who gets it right
 
Mn ltss projection model
Mn ltss projection modelMn ltss projection model
Mn ltss projection model
 
Modeling financial eligibility, ltss
Modeling financial eligibility, ltssModeling financial eligibility, ltss
Modeling financial eligibility, ltss
 
Poster, advancements in care coordination mn sim
Poster, advancements in care coordination mn simPoster, advancements in care coordination mn sim
Poster, advancements in care coordination mn sim
 
Poster, section 1115 waivers
Poster, section 1115 waiversPoster, section 1115 waivers
Poster, section 1115 waivers
 
Modeling state based reinsurance
Modeling state based reinsuranceModeling state based reinsurance
Modeling state based reinsurance
 
Comparing Health Insurance Measurement Error (CHIME) in the ACS & CPS
Comparing Health Insurance Measurement Error (CHIME) in the ACS & CPSComparing Health Insurance Measurement Error (CHIME) in the ACS & CPS
Comparing Health Insurance Measurement Error (CHIME) in the ACS & CPS
 
Who Gets It Right? Characteristics Associated with Accurate Reporting of Heal...
Who Gets It Right? Characteristics Associated with Accurate Reporting of Heal...Who Gets It Right? Characteristics Associated with Accurate Reporting of Heal...
Who Gets It Right? Characteristics Associated with Accurate Reporting of Heal...
 
The Impact of Medicaid Expansion on Employer Provision of Health Insurance
The Impact of Medicaid Expansion on Employer Provision of Health InsuranceThe Impact of Medicaid Expansion on Employer Provision of Health Insurance
The Impact of Medicaid Expansion on Employer Provision of Health Insurance
 
Physician Participation in Medi-Cal: Is Supply Meeting Demand?
Physician Participation in Medi-Cal: Is Supply Meeting Demand? Physician Participation in Medi-Cal: Is Supply Meeting Demand?
Physician Participation in Medi-Cal: Is Supply Meeting Demand?
 
Shadac acs cps-webinar 2016-final_sept21
Shadac acs cps-webinar 2016-final_sept21Shadac acs cps-webinar 2016-final_sept21
Shadac acs cps-webinar 2016-final_sept21
 
2014 SAHIE: Overview with Census Experts
2014 SAHIE: Overview with Census Experts2014 SAHIE: Overview with Census Experts
2014 SAHIE: Overview with Census Experts
 
Adding complexity to an already difficult task: Monitoring the impact of the ...
Adding complexity to an already difficult task: Monitoring the impact of the ...Adding complexity to an already difficult task: Monitoring the impact of the ...
Adding complexity to an already difficult task: Monitoring the impact of the ...
 

Recently uploaded

一比一原版(USF毕业证)旧金山大学毕业证如何办理
一比一原版(USF毕业证)旧金山大学毕业证如何办理一比一原版(USF毕业证)旧金山大学毕业证如何办理
一比一原版(USF毕业证)旧金山大学毕业证如何办理
40fortunate
 
The Ultimate Guide in Setting Up Market Research System in Health-Tech
The Ultimate Guide in Setting Up Market Research System in Health-TechThe Ultimate Guide in Setting Up Market Research System in Health-Tech
The Ultimate Guide in Setting Up Market Research System in Health-Tech
Gokul Rangarajan
 
Discover the Perfect Way to Relax - Malayali Kerala Spa Ajman
Discover the Perfect Way to Relax - Malayali Kerala Spa AjmanDiscover the Perfect Way to Relax - Malayali Kerala Spa Ajman
Discover the Perfect Way to Relax - Malayali Kerala Spa Ajman
Malayali Kerala Spa Ajman
 
National Rural Health Mission(NRHM).pptx
National Rural Health Mission(NRHM).pptxNational Rural Health Mission(NRHM).pptx
National Rural Health Mission(NRHM).pptx
Jyoti Chand
 
Digital Health in India_Health Informatics Trained Manpower _DrDevTaneja_15.0...
Digital Health in India_Health Informatics Trained Manpower _DrDevTaneja_15.0...Digital Health in India_Health Informatics Trained Manpower _DrDevTaneja_15.0...
Digital Health in India_Health Informatics Trained Manpower _DrDevTaneja_15.0...
DrDevTaneja1
 
Bathinda ℂ𝕒𝕝𝕝 𝔾𝕚𝕣𝕝𝕤 7742996321 ℂ𝕒𝕝𝕝 𝔾𝕚𝕣𝕝𝕤 Bathinda
Bathinda ℂ𝕒𝕝𝕝 𝔾𝕚𝕣𝕝𝕤 7742996321 ℂ𝕒𝕝𝕝 𝔾𝕚𝕣𝕝𝕤 BathindaBathinda ℂ𝕒𝕝𝕝 𝔾𝕚𝕣𝕝𝕤 7742996321 ℂ𝕒𝕝𝕝 𝔾𝕚𝕣𝕝𝕤 Bathinda
Bathinda ℂ𝕒𝕝𝕝 𝔾𝕚𝕣𝕝𝕤 7742996321 ℂ𝕒𝕝𝕝 𝔾𝕚𝕣𝕝𝕤 Bathinda
varun0kumar00
 
nursing management of patient with Empyema ppt
nursing management of patient with Empyema pptnursing management of patient with Empyema ppt
nursing management of patient with Empyema ppt
blessyjannu21
 
Top 5 Benefits of Cancer Registry Services
Top 5 Benefits of Cancer Registry ServicesTop 5 Benefits of Cancer Registry Services
Top 5 Benefits of Cancer Registry Services
Cardiac Registry Support
 
Columbia毕业证书退学办理
Columbia毕业证书退学办理Columbia毕业证书退学办理
Columbia毕业证书退学办理
ozcot
 
Monopoly PCD Pharma Franchise in Tripura
Monopoly PCD Pharma Franchise in TripuraMonopoly PCD Pharma Franchise in Tripura
Monopoly PCD Pharma Franchise in Tripura
SKG Internationals
 
EXAMINATION OF HUMAN URINE AND FAECES.pdf
EXAMINATION OF HUMAN URINE AND FAECES.pdfEXAMINATION OF HUMAN URINE AND FAECES.pdf
EXAMINATION OF HUMAN URINE AND FAECES.pdf
Madhusmita Sahoo
 
nurs fpx 4050 assessment 4 final care coordination plan.pdf
nurs fpx 4050 assessment 4 final care coordination plan.pdfnurs fpx 4050 assessment 4 final care coordination plan.pdf
nurs fpx 4050 assessment 4 final care coordination plan.pdf
Carolyn Harker
 
Test bank advanced health assessment and differential diagnosis essentials fo...
Test bank advanced health assessment and differential diagnosis essentials fo...Test bank advanced health assessment and differential diagnosis essentials fo...
Test bank advanced health assessment and differential diagnosis essentials fo...
rightmanforbloodline
 
Friendly Massage in Ajman - Malayali Kerala Spa Ajman
Friendly Massage in Ajman - Malayali Kerala Spa AjmanFriendly Massage in Ajman - Malayali Kerala Spa Ajman
Friendly Massage in Ajman - Malayali Kerala Spa Ajman
Malayali Kerala Spa Ajman
 
Fit to Fly PCR Covid Testing at our Clinic Near You
Fit to Fly PCR Covid Testing at our Clinic Near YouFit to Fly PCR Covid Testing at our Clinic Near You
Fit to Fly PCR Covid Testing at our Clinic Near You
NX Healthcare
 
3. User Guide Activity Budget Tracking App Steps to apply.pptx
3. User Guide Activity Budget Tracking App Steps to apply.pptx3. User Guide Activity Budget Tracking App Steps to apply.pptx
3. User Guide Activity Budget Tracking App Steps to apply.pptx
habtegirma
 
Hyderabad Call Girls 7023059433 High Profile Escorts Service Hyderabad
Hyderabad Call Girls 7023059433 High Profile Escorts Service HyderabadHyderabad Call Girls 7023059433 High Profile Escorts Service Hyderabad
Hyderabad Call Girls 7023059433 High Profile Escorts Service Hyderabad
garge6804
 
一比一原版布里斯托大学毕业证(Bristol毕业证书)学历如何办理
一比一原版布里斯托大学毕业证(Bristol毕业证书)学历如何办理一比一原版布里斯托大学毕业证(Bristol毕业证书)学历如何办理
一比一原版布里斯托大学毕业证(Bristol毕业证书)学历如何办理
obowu
 
Simple Steps to Make Her Choose You Every Day
Simple Steps to Make Her Choose You Every DaySimple Steps to Make Her Choose You Every Day
Simple Steps to Make Her Choose You Every Day
Lucas Smith
 
Satisfying Spa Massage Experience at Just 99 AED - Malayali Kerala Spa Ajman
Satisfying Spa Massage Experience at Just 99 AED - Malayali Kerala Spa AjmanSatisfying Spa Massage Experience at Just 99 AED - Malayali Kerala Spa Ajman
Satisfying Spa Massage Experience at Just 99 AED - Malayali Kerala Spa Ajman
Malayali Kerala Spa Ajman
 

Recently uploaded (20)

一比一原版(USF毕业证)旧金山大学毕业证如何办理
一比一原版(USF毕业证)旧金山大学毕业证如何办理一比一原版(USF毕业证)旧金山大学毕业证如何办理
一比一原版(USF毕业证)旧金山大学毕业证如何办理
 
The Ultimate Guide in Setting Up Market Research System in Health-Tech
The Ultimate Guide in Setting Up Market Research System in Health-TechThe Ultimate Guide in Setting Up Market Research System in Health-Tech
The Ultimate Guide in Setting Up Market Research System in Health-Tech
 
Discover the Perfect Way to Relax - Malayali Kerala Spa Ajman
Discover the Perfect Way to Relax - Malayali Kerala Spa AjmanDiscover the Perfect Way to Relax - Malayali Kerala Spa Ajman
Discover the Perfect Way to Relax - Malayali Kerala Spa Ajman
 
National Rural Health Mission(NRHM).pptx
National Rural Health Mission(NRHM).pptxNational Rural Health Mission(NRHM).pptx
National Rural Health Mission(NRHM).pptx
 
Digital Health in India_Health Informatics Trained Manpower _DrDevTaneja_15.0...
Digital Health in India_Health Informatics Trained Manpower _DrDevTaneja_15.0...Digital Health in India_Health Informatics Trained Manpower _DrDevTaneja_15.0...
Digital Health in India_Health Informatics Trained Manpower _DrDevTaneja_15.0...
 
Bathinda ℂ𝕒𝕝𝕝 𝔾𝕚𝕣𝕝𝕤 7742996321 ℂ𝕒𝕝𝕝 𝔾𝕚𝕣𝕝𝕤 Bathinda
Bathinda ℂ𝕒𝕝𝕝 𝔾𝕚𝕣𝕝𝕤 7742996321 ℂ𝕒𝕝𝕝 𝔾𝕚𝕣𝕝𝕤 BathindaBathinda ℂ𝕒𝕝𝕝 𝔾𝕚𝕣𝕝𝕤 7742996321 ℂ𝕒𝕝𝕝 𝔾𝕚𝕣𝕝𝕤 Bathinda
Bathinda ℂ𝕒𝕝𝕝 𝔾𝕚𝕣𝕝𝕤 7742996321 ℂ𝕒𝕝𝕝 𝔾𝕚𝕣𝕝𝕤 Bathinda
 
nursing management of patient with Empyema ppt
nursing management of patient with Empyema pptnursing management of patient with Empyema ppt
nursing management of patient with Empyema ppt
 
Top 5 Benefits of Cancer Registry Services
Top 5 Benefits of Cancer Registry ServicesTop 5 Benefits of Cancer Registry Services
Top 5 Benefits of Cancer Registry Services
 
Columbia毕业证书退学办理
Columbia毕业证书退学办理Columbia毕业证书退学办理
Columbia毕业证书退学办理
 
Monopoly PCD Pharma Franchise in Tripura
Monopoly PCD Pharma Franchise in TripuraMonopoly PCD Pharma Franchise in Tripura
Monopoly PCD Pharma Franchise in Tripura
 
EXAMINATION OF HUMAN URINE AND FAECES.pdf
EXAMINATION OF HUMAN URINE AND FAECES.pdfEXAMINATION OF HUMAN URINE AND FAECES.pdf
EXAMINATION OF HUMAN URINE AND FAECES.pdf
 
nurs fpx 4050 assessment 4 final care coordination plan.pdf
nurs fpx 4050 assessment 4 final care coordination plan.pdfnurs fpx 4050 assessment 4 final care coordination plan.pdf
nurs fpx 4050 assessment 4 final care coordination plan.pdf
 
Test bank advanced health assessment and differential diagnosis essentials fo...
Test bank advanced health assessment and differential diagnosis essentials fo...Test bank advanced health assessment and differential diagnosis essentials fo...
Test bank advanced health assessment and differential diagnosis essentials fo...
 
Friendly Massage in Ajman - Malayali Kerala Spa Ajman
Friendly Massage in Ajman - Malayali Kerala Spa AjmanFriendly Massage in Ajman - Malayali Kerala Spa Ajman
Friendly Massage in Ajman - Malayali Kerala Spa Ajman
 
Fit to Fly PCR Covid Testing at our Clinic Near You
Fit to Fly PCR Covid Testing at our Clinic Near YouFit to Fly PCR Covid Testing at our Clinic Near You
Fit to Fly PCR Covid Testing at our Clinic Near You
 
3. User Guide Activity Budget Tracking App Steps to apply.pptx
3. User Guide Activity Budget Tracking App Steps to apply.pptx3. User Guide Activity Budget Tracking App Steps to apply.pptx
3. User Guide Activity Budget Tracking App Steps to apply.pptx
 
Hyderabad Call Girls 7023059433 High Profile Escorts Service Hyderabad
Hyderabad Call Girls 7023059433 High Profile Escorts Service HyderabadHyderabad Call Girls 7023059433 High Profile Escorts Service Hyderabad
Hyderabad Call Girls 7023059433 High Profile Escorts Service Hyderabad
 
一比一原版布里斯托大学毕业证(Bristol毕业证书)学历如何办理
一比一原版布里斯托大学毕业证(Bristol毕业证书)学历如何办理一比一原版布里斯托大学毕业证(Bristol毕业证书)学历如何办理
一比一原版布里斯托大学毕业证(Bristol毕业证书)学历如何办理
 
Simple Steps to Make Her Choose You Every Day
Simple Steps to Make Her Choose You Every DaySimple Steps to Make Her Choose You Every Day
Simple Steps to Make Her Choose You Every Day
 
Satisfying Spa Massage Experience at Just 99 AED - Malayali Kerala Spa Ajman
Satisfying Spa Massage Experience at Just 99 AED - Malayali Kerala Spa AjmanSatisfying Spa Massage Experience at Just 99 AED - Malayali Kerala Spa Ajman
Satisfying Spa Massage Experience at Just 99 AED - Malayali Kerala Spa Ajman
 

Medicaid Undercount in the American Community Survey

  • 1. MEDICAID UNDERCOUNT IN THE AMERICAN COMMUNITY SURVEY Joanna Turner State Health Access Data Assistance Center (SHADAC) University of Minnesota JSM meetings, Boston, MA August 5, 2014
  • 2. Click Acknowledgments to edit Master title style Click • Funding to edit for Master this work text styles is supported by the U.S. Census Bureau Second level Third level Fourth level • Collaboration between Census Bureau and SHADAC Fifth level to extend previous Medicaid undercount research to the American Community Survey (ACS) • Collaborators: • Brett O’Hara (Census Bureau) • Kathleen Call, Michel Boudreaux, Brett Fried (SHADAC) 2
  • 3. Click Background to edit Master title style • Administrative data on public assistance programs are not Click to edit Master text styles sufficient Second level for policy making • Not timely Third level • No population Fourth level denominator • Incomplete or lower quality covariates Fifth level • Population surveys fill these gaps • Yet they universally undercount public program enrollment described in administrative data • Food stamps, public housing, TANF (Lewis, Elwood, and Czajka 1998; Meyer, 2003) • Medicaid (Call et al 2008, 2012) 3
  • 4. Research Click to edit focus Master title style • Click Describe to edit Master the concordance text styles of Medicaid reporting in the Second ACS level and enrollment data in administrative records Third level Fourth level • Compare “misreports” across characteristics of: Fifth level • Individuals: age, income, state • Medicaid enrollment: scope of benefit, tenure • Bias to uninsurance estimates 4
  • 5. Click Data source: to edit Master American title Community style Survey (ACS) Click to edit Master text styles • Large, continuous, multi-mode survey of the US Second level population residing in housing units and group Third level quarters Fourth level • Added health Fifth level insurance question in 2008 • One simple multi-part question on health insurance type • Unique data source due to its size • Subgroup analysis (small demographic groups and low levels of geography) 5
  • 6. ACS health insurance question part “d” Click to edit Master title style Click to edit Master text styles Second level “Is this person CURRENTLY covered by any of the following Third level types of health insurance or health Fourth level coverage Fifth plans? level d. Medicaid, Medical Assistance, or any kind of government-assistance plan for those with low incomes or a disability?” 6
  • 7. Data Click source: to edit Master Medicaid title Statistical style Information System (MSIS) Click to edit Master text styles • Medicaid enrollment records Second level • Longitudinal database of enrollment Third level • Records Fourth level originate in the states and are reported to the Fifth level federal government • Includes regular Medicaid and Expansion CHIP • Tracks all levels of enrollment (e.g., emergency & family planning) • Not a perfect gold standard 7
  • 8. Definition Click to edit differences Master title style Click • MSIS to edit includes Master comprehensive text styles and partial coverage Second • ACS level comprehensive coverage is a subset Third level Fourth level • ACS includes Medicaid, CHIP, and state-specific Fifth level public programs (will refer to coverage as “Medicaid Plus”) • MSIS Medicaid and Expansion CHIP coverage is a subset 8
  • 9. Investigating Click to edit Master survey title response style errors • Click Discordance to edit Master between text styles MSIS and ACS can come from definitional differences and survey response error Second level Third level Fourth level • Our focus here is on survey response errors which Fifth level we investigate by merging the ACS and the MSIS 9
  • 10. Investigating survey response errors (2) Click to edit Master title style • Click Use to linking edit Master methodology text styles developed by the Census Bureau’s Second level Center for Administrative Records Research Third level and Applications • Personal Fourth level Identification Key (PIK) Fifth level • Research conducted at the MN Census Research Data Center located at the University of Minnesota • http://mnrdc.umn.edu/ 10
  • 11. Investigating survey response errors (3) Click to edit Master title style Click • Consider to edit Master a case text to have styles Medicaid enrollment if they are Second covered level on the day of ACS interview by full benefit Third coverage level from Medicaid or Expansion CHIP Fourth level • Adjust ACS person weights to account for unlinkable Fifth level records • Although all persons were linked estimates reported here are for the civilian non-institutionalized population • Explicit reports of coverage (not edited) 11
  • 12. Linked and unlinked data and misreports Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 12
  • 13. Click Coverage to edit by Master age title style 10% 8% Click to edit Master text styles 13% “Misreports” Second level Third level Fourth level Fifth level Any Medicaid Plus 13 12% 77% 81% 14.9%* 13%* 1%* 27%* 72%* 71%* Total 0-18 19-64 65+ Uninsured Other coverage Source: 2009 MSIS and ACS civilian non-institutionalized population as analyzed by SHADAC. Explicit reports (not edited) * Indicates that estimate is statistically significantly different (at p<.01) from the estimate for the 0-18 age group.
  • 14. Click to edit Master title style 9% 11%* 11%* 9%* Click to edit Master text styles Second level Third level Fourth level Fifth level 83% 71%* 64%* 61%* 8% 18%* 26%* 30%* 0-138 139-249 250-399 400+ Uninsured Other coverage Any Medicaid Plus Coverage by FPL 14 Source: 2009 MSIS and ACS civilian non-institutionalized population as analyzed by SHADAC. Explicit reports (not edited) * Indicates that estimate is statistically significantly different (at p<.01) from the estimate for the 0-138 FPL group.
  • 15. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 15 Percent of linked cases reporting Medicaid Plus enrollment on the ACS interview date Source: 2008 MSIS and ACS civilian non-institutionalized population as analyzed by SHADAC; Explicit reports only
  • 16. Coverage by benefit type and scope Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level 77% 75F%ift*h level 46% 77%* 13% 16%* 35% 13%* 10% 9%* 19% 10%* Medicaid Expansion CHIP Partial Full Uninsured Other coverage Any Medicaid Plus 16 Benefit Type Benefit Scope Source: 2009 MSIS and ACS civilian non-institutionalized population as analyzed by SHADAC. Explicit reports (not edited) * Indicates that estimate is statistically significantly different (at p<.01) from the estimate for those with Medicaid, and for those with partial benefits, respectively.
  • 17. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level 82% Fifth level 73%* 59%* 41%* 12% 14%* 18%* 24%* 6% 13%* 23%* 34%* Continuously Enrolled from Oct 2008-Mar 2010 (18 months) Enrolled For 50-99% of Months Enrolled For 25-49% Enrolled for 0-24% Uninsured Other coverage Any Medicaid Plus Coverage by enrollment tenure 17 Source: 2009 MSIS and ACS civilian non-institutionalized population as analyzed by SHADAC. Explicit reports (not edited) * Indicates that estimate is statistically significantly different (at p<.01) from the estimate for those who were continuously enrolled.
  • 18. Click Bias to to estimates edit Master of title uninsurance style • Click A key to edit policy Master metric text is styles the share of the population that lacks any type of coverage Second level Third level • Uninsurance is a residual category, so undercounting Fourth level Medicaid partially contributes to bias in uninsurance Fifth level • We cannot estimate bias from other sources of coverage • We cannot estimate bias from those that report Medicaid, but are in fact uninsured 18
  • 19. Upper Click to bound edit of Master bias to title uninsurance style attributable to Medicaid misreporting: Explicit Click to edit reports Master text only styles Second level Third level Fourth level Fifth level Count in millions Percent (SE) Original uninsured estimate 40.9 15.4 (0.05) Share of the uninsured that are linked 3.2 7.9 (0.07) Partially adjusted uninsured estimate 37.7 14.2 (0.04) 19 Source: 2008 MSIS and ACS civilian non-institutionalized population as analyzed by SHADAC.
  • 20. Click Summary to edit of Master results title style • Although not perfectly comparable, the undercount in the Click to edit Master text styles ACS appears in line with other surveys Second • Large level (23%), but slightly better than some other surveys Third level (keep in mind ACS includes Medicaid and other means-tested Fourth level public coverage) Fifth level • As with other surveys the undercount increases with age and family income and appears to vary by state • The undercount translates into an overestimate of uninsurance of 1.2 percentage points or 3.2 million but it is likely that there are other offsetting influences • ACS represents a valuable source of policy analysis 20
  • 21. Click to edit Master title style Contact Information Click to edit Master text styles Second level Third level Fourth level turn0053@umn.edu Fifth level Joanna Turner 612.624.4802 www.shadac.org @shadac
  • 22. Click Linked to file: edit enrolled Master title in Medicaid style on ACS interview date: Explicit reports Click to edit Master text styles only Second level Third level Fourth level Fifth level 22 ACS Yes No MSIS Yes No
  • 23. Click to edit Master title style Previous research • SNACC Phases I-VI (2007-2010) Click to edit Master text styles • CPS (CY 2005) implied undercount of about 41% Second level • NHIS (CY 2002) implied undercount of about 33% Third level • MEPS (CY 2002) implied undercount of about 18% Fourth level • Known enrollees coded as uninsured was 18%, 9%, and 8% Fifth level respectively for CPS, NHIS and MEPS • O’Hara (2009) • ACS Content Test (CY 2006) implied undercount of 34.4% for the non-elderly • Turner & Boudreaux (2010) • 2008 ACS produces coverage estimates similar to other population surveys (e.g. 2008 NHIS) 23
  • 24. Coverage by type for linked cases enrolled in Medicaid on ACS interview date: Explicit reports only Click to edit Master title style Click to edit Master text styles Second level Any Medicaid Plus NOT Any Third Medicaid level Plus Fourth level Fifth level 77.1 (0.12) 22.9 (0.12) Employer sponsored insurance 8.3 (0.08) Direct purchase 2.2 (0.05) Medicare 3.3 (0.04) TRICARE 0.3 (0.01) VA 0.1 (0.01) Uninsured 9.9 (0.08) 24 Source: 2008 MSIS and ACS civilian non-institutionalized population as analyzed by SHADAC. Percent (Standard error)

Editor's Notes

  1. Put mode in household with household characteristics because mode is not randomly assigned. Instead it is an indicator of late participation given sequential administration of mode in ACS: mail, phone, in-person (now web).
  2. 9
  3. 11