factors that influence health care coverage for low-income populations under welfare reform jessica...
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Factors that Influence Health Care Coverage for Low-Income Populations
Under Welfare Reform
Jessica Toft, MSW, University of Minnesota
David Hollister, PhD, University of Minnesota
Mary Martin, PhD, Metro State University
Ji-in Yeo, MSW, University of Minnesota
Center for Advanced Studies in Child Welfare
Medicaid under Personal Responsibility and Work Opportunity Reconciliation Act
(PRWORA)
Apply for TANF and Medicaid separately Expansion of Medicaid
Income and family guidelines only Can work and receive Medicaid
Transitional Medicaid Assistance 6 months Another 6 months if < 185% FPL
Effects of “Delinkage” of Medicaid and TANF
Complicated eligibility rules Dual application procedures In-person interview during working hours Fewer welfare leavers have health care
coverage (Schott & Mann, 1998; Guyer, 2000; Garrett & Holahan, 2000)
Medicaid Coverage Before and After TANF (1995 vs. 1997)
Decline of 10.6% adults on Medicaid (Ku & Bruen, 1999)
1.25 million lost Medicaid Half uninsured in 1997 (Families, USA, 1999)
NSAF survey (Garrett & Holahan, 2000): 64% of parents lost Medicaid 41% became uninsured
Medicaid Coverage by Race, Children (US Census, 2000)
Native Americans not reported on
20.4%
35.8%
17%
32.8%
18.6%
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
35.00%
40.00%
All Children AfricanAmerican
White Hispanic Asian
Medicaid Coverage
Uninsured Children in 2000(US Census Bureau)
11.60%
21.50%
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
All Children Poor Children
Uninsured
Racial-Ethnic Disparities: Uninsurance in 2002
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
35.00%
White AfricanAmerican
Asians Latinos
Uninsured Children by Race (US Census Bureau, 2000)
Native American Children not reported on in Census statistics
13.6%10.9%
24.9%
14.2%
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
AfricanAmerican
White Hispanic Asian
Uninsured
Medicaid and Immigrants
43% of Non-Citizen Immigrants uninsured
Low-income Medicaid Use in 2001 (< 200FPL) 1/3 of citizens 13.2% of non-citizens Substantial increase for
citizens, but not non-citizens 0%
2%
4%
6%
8%
10%
12%
14%
Citizens Non-Citizens
1996
2000
Minnesota and Health Care Coverage
7.5% of adults uninsured (half the national average)
For adults with incomes < 200 FPL, 19.7% uninsurance (US has 34.9%)
Medicaid and MNCare 19.7% of adult coverage vs. 14.7% nationally 275% of FPL
Case of Welfare “Leavers” in Minnesota
Twice as likely as low-income adults to be uninsured
Compared to all adults, 5 times more likely to be uninsured
83% of welfare leavers would have been eligible for Medicaid or MNCare
Case of Racial-Ethnic and Immigrant Groups in MN
Little research in this area in MN MN DHS (2002) reports no significant
association of “race/ethnicity/citizenship” and leavers’ health care coverage Immigrant sample small (n=14) Only considers “leavers”
This finding conflicts with national studies
Gaps in Current Studies
Amount of work and health care coverage not carefully conceptualized
Do not consider work over time (focus on TANF over time) Assumes TANF exit, but not re-entry
Lack of studies considering health insurance over time (cross-sectional or short time periods*)
In Minnesota, lack of research on health care coverage of racial-ethnic and immigrant groups
Research Questions
Has amount of work over time affected health care coverage for low-income populations in
Hennepin County, Minnesota?
How does racial-ethnicity or immigrant status affect health care coverage for low-income
populations in Hennepin County, Minnesota?
Minnesota Family Investment Program (MFIP) Study
The Well-Being of Parents and Children in the Minnesota Family Investment Program in Hennepin County, Minnesota, 1998-2002
University of Minnesota, Center for Advanced Studies in Child Welfare, Center for Urban and Regional Affairs, Hennepin County Economic Assistance Department
Interviewed people who were on welfare at the beginning of MFIP implementation
Considered number of dimensions including health care Full report: http://ssw.che.umn.edu.cascw/cascw_papers
Sample
84 Respondents from County rolls in September, 1998
Random Sample & Oversampling of People of Color and Immigrants 22 African American 23 White 12 Native American 11 Hmong 11 Latino All Immigrants (n = 27) 5 Somali
Methods
Life History Calendar 42-month calendar
(Sept. 1998-Feb. 2002) Work histories MFIP receipt Health care coverage
(when and type) Matched racial-ethnic
and immigrant groups respondents and interviewers
Additional Interview Questions Type of provider most
used Problems with access Health condition Missed care due to cost Citizenship status
Worker Types
42-month Study Period
Extensive Worker (25) = Worked 36-42 months Moderate Worker (42) = Worked 6-35 months Minimal Worker (17) = Worked < 6 months
Work = Paid full-time (35+ hours per week) work and part-time (5-34 hours per week) work
Findings: Entire Sample
42 months x 84 participants = 3,528 months 71% always had health insurance Average uninsured months = 3.7 29% (n=24) uninsured for avg. of 12.9
months
Entire Sample (Parents): Coverage Statistics (3,528 months)
75%
9%
8%6% 2%
Medicaid
Uninsured
Employer
MNCare
Other
Number of Health Care Coverage Episodes
53%
26%
14%4% 2% 1%
1 episode
2 episodes
3 episodes
4 episodes
5 episodes
7 episodes
Health Insurance Episodes and Uninsurance
98%
2%
63%
37%
22%
78%
0%
20%
40%
60%
80%
100%
1episodes
2episodes
3+episodes
Uninsured
Insured
Uninsurance (Parents) by Worker Type
34.4
7.6
39.17
2.83
42
0
05
1015202530354045
Months(42)
Extensive Moderate Minimal
Worker Type Statistically Significant
*p < .05
Uninsured
Insured
Children: Uninsurance by Parents’ Worker Type (42 month period)
5.86
2.10.01
2.57
0
1
2
3
4
5
6
Extensive Moderate Minimal Total
*p < .05
Meannumber ofmonthsuninsured
Insurance Episodes (Parents) by
Worker Type
2.041.71
1.18
0
0.5
1
1.5
2
2.5
Extensive Moderate Minimal
InsuranceEpisodes
Health Care Coverage by Worker Type (Parents)
50%
15%
13%
18%4%
80%
3%8%7%
2%
96%
2% 2%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Extensive Moderate Minimal
Other
None
Employer
MNCare
Medicaid
Average Number of Months Receiving MFIP by Worker Type
Extensive Worker = 10.9 Moderate Worker = 26.3 Minimal Worker = 35.2
The more MFIP one received, the more Medicaid coverage (and insurance in
general) one (parent) had
“Delinkage” of Medicaid from TANF?
Or no sense of a “linkage” between Medicaid and work?
Although TANF and Medicaid linkage may have connected workers and their families with Medicaid initially, not certain how this coverage would have been affected by employment, family and income
changes over time.
An Extensive Worker’s Account of Health Care Coverage:
Parent and Children (Sept. 1998 – April 2002)
Employer = 9 mos. Uninsured = 9 mos. MNCare = 24 mos. Uninsured = 2 mos.
Goes to the free clinic Both she and her kids have chronic health conditions.
Postpones medication due to doctor waiting lists, appointments only during working hours, and prescription expense
Uninsurance by Racial and Immigrant Status (Parents)
96%
4%
92%
8%
91%
9%
100% 100%
65%
35%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
AfricanAmerican
White NativeAmerican
Hmong Somali Latino
Uninsured
Insured
Uninsurance by Racial and Immigrant Status (Children)
99%
1%
92%
8%
93%
7%
75%
25%
100% 100%
0%
20%
40%
60%
80%
100%
AfricanAmerican
White NativeAmerican
Latino Hmong Somali
Insured Uninsured
Racial-Ethnic Groups (Parents) by Health Care Coverage
91%
2%7%0%
58%
17%
8%11%
4%
75%
16%
9%0%
0%
20%
40%
60%
80%
100%
AfricanAmericans
Whites NativeAmericans
Other
MNCare
Uninsured
Employer
Medicaid
Immigrant and Racial Groups (Parents) by Health Care Coverage
94%
6%
42%
35%
11%8%4%
100%
0%
20%
40%
60%
80%
100%
Hmong Latinos Somalis
Employer
Other
MNCare
Uninsured
Medicaid
Conclusion: Worker Type and Racial-Immigrant Status Affect Health Care Coverage
Worker Type The more one works,
more likely one and ones’ family to be uninsured
Although “delinkage” important, lack of linkage of Medicaid and work may affect health care over time
Racial-Immigrant Groups Distinct patterns not
successfully explained by amount worked
Certain racial-ethnic groups use publicly-funded programs more successfully