Number B-4 in Series, "New Federalism: National Survey of America's Families"
The nonpartisan Urban Institute publishes studies, reports, and books on timely topics worthy of public consideration. The views expressed are those of the authors and should not be attributed to the Urban Institute, its trustees, or its funders.
Note: Those wishing to print this report may find it easier to use the PDF Version.
Many children remain uninsured despite being eligible for public insurance coverage (Dubay and Kenney 1996; Selden, Banthin, and Cohen 1998).
Estimates from 1996, prior to the implementation of the Children's Health Insurance Program (CHIP), suggest that as many as 40 percent of all uninsured children were eligible for but not enrolled in Medicaid (Selden et
al. 1998). With the advent of national welfare reform and CHIP, the share of uninsured children who are eligible for public programs has likely risen.
Using estimates drawn from the 1997 National Survey of America's Families (NSAF), this brief examines the potential of certain federal programs for reaching the families of uninsured children. We focus here on four
particular programs: the National School Lunch Program; the Special Supplemental Program for Women, Infants, and Children (WIC); the Food
Stamp program; and the Unemployment Compensation Program.1 The first three of these are
operated by the U.S. Department of Agriculture (USDA); the last is overseen by the U.S. Department of Labor. These programs rely on very different
enrollment procedures and require different documentation as compared with Medicaid and CHIP. At the same time, they serve many families with children who should be eligible for Medicaid and CHIP.
Our findings suggest that almost three-quarters of all low-income uninsured children and about 60 percent of all uninsured children live in families that participate in the National School Lunch, WIC, Food Stamp, or Unemployment Compensation programs. The National School Lunch Program serving families with about 4 million low-income uninsured childrenappears to be a particularly efficient vehicle for identifying uninsured children who are eligible for Medicaid and CHIP.
Data and Methods
The NSAF is a national household survey that provides information on over 100,000 children and nonelderly adults representing the noninstitutionalized civilian population under age 65 (Brick et al. 1999). The NSAF oversamples the low-income population (those with incomes below 200 percent of the federal poverty level [FPL]) and the population in 13 states 2 and provides
reliable estimates for the nation. Detailed information on health insurance coverage and other characteristics was collected on up to two sampled
children in each household (one age 5 or under and one between ages 6 and 17). The adult who knew the most about each child's education and health carethe primary caregiverwas the respondent. Interviewers asked primary caregivers about children's current and past year's enrollment in private and public insurance and followed up with a confirmation question if respondents did not identify any coverage (Rajan, Zuckerman, and Brennan 1999).3 Overall, information was collected on 34,439 children.4
Participation in the National School Lunch 5 and WIC 6 programs was measured at the family level. If primary caregivers reported that at least one individual in the family received free or reduced-price lunches at school or participated in WIC in calendar year 1996, the family as a whole was considered a participant in the National School Lunch or WIC programs. Participation was measured by the enrollment of someone in the child's family, but not necessarily the sampled child whose insurance status was assessed. Therefore, our estimates of how many children can be reached through other programs assume that all children in the household are being reached, not just the child who participates. Participation in these two programs was only assessed for families with incomes that were estimated to be below 200 percent of the FPL based on information provided during the interview.7 A family's participation in the Food Stamp program was indicated by the reported receipt of benefits at the time the NSAF was administered in 1997; its participation in the Unemployment Compensation Program was demonstrated by the receipt of benefits in calendar year 1996. 8,9
We also assessed the demographic and socioeconomic characteristics of
the uninsured children whose families participated in these programs. These
characteristics include the child's age, race/ethnicity, and immigration status; the educational attainment of the primary caregiver; the family structure, income, and work status; and the region and state in which the family lived.
Extent of Program Participation
Table 1 shows the number of children in families that received benefits during 1996 or 1997 from any or all of the National School Lunch, WIC, Food Stamp, or Unemployment Compensation programs, along with the number of these children who were uninsured and who lived in families with incomes below 200 percent of the FPL. The proportions of low-income and all uninsured children covered by these programs are also presented. We find that an estimated 16.8 million low-income children resided in families in which at least one child received benefits from the National School Lunch Program during 1996. The NSAF indicates that almost 23 percent of low-income children residing in families that received benefits from this program in 1996 were uninsured at the time that the survey was administered in 1997 (3.9 million divided by 16.8 million). We estimate that about 3.9 million low-income uninsured children60 percent of all low-income uninsured children and almost half of all uninsured children resided in families that participated in the National School Lunch Program.
Approximately 9.2 million low-income children are estimated to reside in families that received benefits from the WIC Program during 1996. About
17 percent of the children living in these familiesor 1.5 million children were uninsured at the time of the survey. Altogether, about one in four low-income uninsured children live in families that received WIC benefits at some point during 1996. We estimate that the WIC Program could reach an additional 620,000 low-income uninsured children in families that do not participate in the National School Lunch Program.
According to the NSAF, approximately 8.6 million low-income children
resided in families that received benefits from the Food Stamp program at the time of the survey. Only 8 percent of these children were uninsured, which means that about 651,000 low-income uninsured children live in families that received food stamps. We estimate that the Food Stamp program could reach an additional 68,000 low-income uninsured children who do not participate in the National School Lunch or WIC programs.
The NSAF also indicates that there were about 629,000 low-income uninsured
children whose families received income from Unemployment Compensation
programs in 1996. Among these uninsured children, about a quarteror
158,000lived in families that did not participate in the National School Lunch, WIC, or Food Stamp programs.
Altogether, 73 percent of all low-income uninsured children and 62 per-cent
of all uninsured children lived in families that participated in the National School Lunch, WIC, Food Stamp, or Unemployment Compensation programs. Thus, outreach efforts directed through these programs could target nearly three-quarters of low-income uninsured children, the vast majority of whom are likely to be eligible for Medicaid or CHIP coverage.
Table 1 Program Participation of Families with Uninsured Children, 1996-97
Federal Income Guidelines
Children in Families Receiving Benefitsa
Low-Income Children in Families Receiving Benefitsa
Low-Income Uninsured Children in These Familiesa
Low-Income Uninsured Children in These Families Not Participating in Programs Abovea
Low-Income Uninsured Children in These Families (%)a
All Uninsured Children in These Families (%)a
National School Lunch Programb
Free meals if income below 130% FPL; reduced-price meals if income between 130% and 185% FPL
18,022,857 (342,367)
16,784,151 (338,257)
3,855,333 (186,263)
60.1 (1.8)
48.5 (1.6)
Special Supplemental Nutrition Program for Women, Infants, and Children (WIC)c
Income below 185% FPL
9,847,941 (286,190)
9,191,740 (283,658)
1,529,649 (110,582)
617,715f (63,348)
23.8 (1.6)
19.0 (1.3)
Food Stamp Program
Income below 130% FPL
8,903,522 (276,926)
8,578,058 (278,206)
651,377 (88,110)
67,935g (15,721)
10.2 (1.3)
7.8 (1.0)
Unemployment Compensatione
5,103,907 (199,172)
2,327,813 (149,640)
629,478 (80,651)
158,019h (47,901)
9.8 (1.1)
10.3 (0.9)
Participation in School Lunch, WIC, Food Stamp, or Unemployment Compensation Programs
26,622,157 (349,593)
22,335,896 (345,188)
4,699,003 (210,042)
73.2 (1.6)
61.5 (1.5)
Source: Urban Institute tabulations from the 1997 National Survey of America's Families (NSAF).
Note: Insurance coverage is measured at the time of the survey.
a. Standard errors for each estimate are given in parentheses.
b. Represents children in families in which at least one child received benefits from the School Lunch Program in 1996.
c. Represents children in families in which at least one child received benefits from the WIC program in 1996.
d. Represents children in families that were receiving Food Stamp benefits at the time the NSAF was administered in 1997.
e. Represents children in families in which at least one person received Unemployment Compensation in 1996.
f. Represents low- income uninsured children in families that received WIC benefits but not School Lunch Program benefits.
g. Represents low- income uninsured children in families that received Food Stamp benefits but not School Lunch Program or WIC benefits.
h. Represents low- income uninsured children in families that received Unemployment Compensation but not School Lunch Program, WIC, or Food Stamp benefits.
Program Participation by Child and Family Characteristics
Table 2 presents the share of low-income uninsured children whose families participated in the School Lunch, WIC, Food Stamp, and Unemployment Compensation programs in 1996 or 1997, by various demographic and socioeconomic characteristics. Participation varies by program, by child and family characteristics, and by geographic location.
The School Lunch Program could reach a high proportion of low-income
uninsured children who are school age; fully three-quarters of low-income
uninsured children ages 6 to 11 and 65 percent of low-income uninsured children ages 12 to 17 live in families who participate. In contrast, only 38 percent of low-income uninsured children under age 6 live in families that participate in the National School Lunch Program. The WIC program offers greater potential for reaching low-income, uninsured preschool children. About half of all low-income uninsured children under age 6 live in families that participate in WIC.
The capacity to reach low-income uninsured children through the School
Lunch, WIC, Food Stamp, and Unemployment Compensation Programs
varies by race and birthplace. Overall, 81 percent of Hispanic and 78
percent of black low-income uninsured children could be reached through these programs, while a smaller percentage of other, primarily white, non-Hispanic low-income children could be targeted (66 percent). A slightly higher proportion of low-income uninsured children in foreign-born families relative to uninsured children born in the United States, 76 percent versus 73 percent, could be National Survey of America's Families identified through these programs, although the proportions are not statistically different from one another. Overall, Hispanic children represent
over one-third of all the low-income uninsured children whose families participate in any of these programs, while foreign-born children represent a smaller proportion, 13 percent, of uninsured children participating in any of these programs (results not shown).
These programs could reach about 76 percent of all uninsured children in
families below 150 percent of the FPL and about 62 percent of the uninsured
children whose family incomes are between 150 percent and 200 percent of
the FPL. Similarly, they could reach higher proportions of low-income uninsured children whose parents lack a high school diploma or general equivalency diploma (GED) relative to uninsured children whose parents have more education.
Table 2 also shows that the capacity to direct Medicaid and CHIP enrollment efforts to low-income uninsured children through these programs varies across regions and states. Specifically,
smaller percentages of low-income uninsured children in the Northeast
could be reached through these programs relative to other regions of the
country. Among the 13 states oversampled in the NSAF, Alabama, California,
and Mississippi exhibit the highest percentage of low-income uninsured children who could be reached through these programs, at about 80 percent,
while Massachusetts, Colorado, and Washington exhibit the lowest proportion,
at about 61 percent.
Table 2 Low-Income Uninsured Children in Families Enrolled in Public Programs, 1996-97
School Lunch Programa
WICb
Food Stampsc
Unemployment Compensationd
Any of These Four Programs
(No.)
(%)
(No.)
(%)
(No.)
(%)
(No.)
(%)
(No.)
(%)
(S.E.)e
Child Characteristics
Age
0-5
750,155
38
950,634
48
166,680
8
141,556
7
1,344,959
68
(2.3)
6-11
1,600,824
75
286,925
13
170,786
8
225,583
11
1,677,171
79
(2.8)
12-17
1,504,354
65
292,089
13
313,911
14
262,340
11
1,676,873
72
(2.3)
Race/Ethnicity
Hispanic
1,458,105
68
648,256
30
205,241
10
178,316
8
1,741,253
81
(2.0)
Black (non-Hispanic)
807,612
70
188,309
16
221,043
19
84,311
7
909,594
78
(3.3)
Other (non-Hispanic)
1,589,616
51
693,085
22
225,093
7
366,851
12
2,048,156
66
(3.0)
Immigration Status
U.S. born
3,283,363
58
1,364,738
24
546,610
10
587,757
10
4,100,098
73
(1.8)
Foreign bron
571,970
73
164,911
21
104,768
13
41,721
5
598,905
76
(3.9)
Family Characteristics
Eductional Statusf
No HS diploma or GED
1,641,659
70
620,443
26
290,301
12
207,254
9
1,895,474
80
(2.2)
HS Diploma or GED, no bachelor's degree
2,094,712
57
865,933
23
354,628
10
401,191
11
2,639,825
71
(2.2)
Bachelor's degree
118,961
35
43,272
13
6,448
2
21,034
6
163,705
49
(5.9)
Work status of parents(s)
Two full-time workers
683,261
65
225,691
22
39,697
4
211,220
20
835,654
80
(3.4)
One full-time worker
2,285,849
60
962,360
25
308,282
8
278,292
7
2,768,739
72
(2.1)
Part-time worker(s) only, no full-time workers
335,655
52
129,995
20
106,874
17
66,156
10
443,805
69
(5.7)
Not working
547,674
62
211,604
24
196,300
22
73,811
8
647,910
73
(3.6)
Family Structure
Single-parent household
1,376,979
61
432,532
19
342,711
15
210,820
9
1,649,338
73
(2.5)
Two-parent household
2,232,796
59
1,022,827
27
246,109
7
411,970
11
2,786,604
74
(2.2)
No parents in household
245,558
63
74,289
19
62,557
16
6,688
2
263,061
68
(4.9)
Family Income
Less than 50% FPL
688,303
62
299,040
27
268,947
24
35,038
3
826,989
75
(3.8)
50-100% FPL
1,265,554
65
497,365
26
241,962
12
265,863
14
1,496,907
77
(2.6)
100-150% FPL
1,322,484
63
512,626
24
73,120
3
148,726
7
158,877
76
(2.8)
150-200% FPL
578,992
46
220,617
18
67,348
5
179,851
14
776,230
62
(3.8)
Geographic Location
Region
Northeast
365,972
51
130.622
18
66,737
9
80,500
11
460,227
64
(4.1)
Midwest
595,897
60
251,603
25
78,867
8
112,762
11
734,029
74
(4.3)
Midwest
595,897
60
251,603
25
78,867
8
112,762
11
734,029
74
(4.3)
South
1,705,665
61
560,906
20
336,514
12
185,737
7
2,065,097
73
(2.2)
West
1,187,800
63
586,517
31
169,258
9
250,480
13
1,439,650
76
(3.0)
State
Alabama
82,473
66
19,597
16
40,069
32
9,410
7
98,757
79
(4.4)
California
700,323
66
314,980
30
92,151
9
115,318
11
854,048
81
(3.3)
Colorado
53,083
51
14,650
14
9,235
9
4,938
5
64,400
62
(4.2)
Florida
248,409
53
128,574
28
38,531
8
14,847
3
317,709
68
(3.8)
Massachusetts
26,980
46
10,319
18
6,371
11
4,950
8
35,531
61
(7.7)
Michigan
58,910
56
13,329
13
8,337
8
17,428
17
77,356
74
(5.8)
Minnesota
24,786
54
12,170
26
1,412
3
5,584
10
33,091
72
(7.2)
Mississippi
85,077
67
28,723
23
37,214
29
12,025
9
100,324
79
(3.4)
New Jersey
65,136
57
12,791
11
10,663
9
13,998
12
79,603
69
(4.4)
New York
194,224
57
63,585
19
34,624
10
37,891
11
239,765
70
(3.4)
Texas
589,108
64
204,591
22
115,480
13
51,982
6
682,203
74
(2.8)
Washington
24,252
39
16,727
27
6,354
10
10,963
17
38,756
62
(4.1)
Wisconsin
35,203
55
10,135
16
3,284
5
10,478
16
41,634
65
(3.6)
Source: Urban Institute calculations from the 1997 National Survey of America's Families (NSAF). Note: Insurance coverage is measured at the time of the survey.
a. Represents children in families in which at least one child received benefits from the School Lunch Program in 1996.
b. Represents children in families in which at least one child received benefits from the WIC program in 1996.
c. Represents children in families that were receiving Food Stamp benefits at the time the NSAF was administered in 1997.
d. Represents children in families in which at least one person received Unemployment Compensation in 1996.
e. Standard error.
f. Represents status of child's primary caregiver.
Policy Implications
Over the last several years, federal and state governments have been working to overcome barriers that prevent eligible children from gaining insurance coverage. Many resources are now being devoted to outreach efforts aimed at increasing Medicaid and CHIP enrollment among eligible uninsured
children.10 Under CHIP, which was enacted in 1997, states are entitled to approximately $40 billion through the year 2007 to expand insurance coverage for children and are mandated to develop outreach strategies as part of their CHIP plans. The welfare reform legislation of 1996, which "delinked" Medicaid from welfare, provided states with additional funds to ensure that children continue to receive Medicaid coverage under the new Temporary Assistance for Needy Families (TANF)
program.
One federal effort has involved bringing together federal departments
that serve children in order to identify ways to enroll more children in
Medicaid and CHIP (DHHS 1998, 1999). The Interagency Task Force on
Children's Health Insurance Outreach led a number of government agencies
to identify ways to use other government programs to reach uninsured children (DHHS 1998, 1999). One of the problems in designing outreach strategies is the absence of information on how best to target outreach efforts. The analysis presented here suggests that government programs, especially those operated by the USDA, are indeed already serving families with large numbers of uninsured children and thus represent a very promising outreach toolespecially for reaching uninsured Medicaid-eligible children. Because fewer uninsured children in families with incomes between 150 percent and 200 percent of the FPL participate in these programs as compared with families with even lower incomes, our findings suggest that these programs will reach proportionally more Medicaid-eligible than CHIP-eligible children.
The key question is how to effectively use these programs to enroll uninsured children who are eligible for public health insurance (The Children's Partnership 1999). Florida has been recognized as one of the first states to utilize schools to reach uninsured chil-dren, and in 1996 the Florida Healthy Kids program was the recipient of the 1996 Innovations in American Government Award. Several states have modeled their CHIP programs after Florida's approach, but new complexities have been introduced under CHIP because states are now required to screen children for Medicaid eligibility and enroll eligibles in Medicaid. President Clinton has asked the secretaries of education, health and human services, and agriculture to identify effective school-based strategies that can be replicated throughout the nation (DHHS 1999).
Some localities are building outreach efforts around the School Lunch
Program, which, according to the NSAF, serves the families of an esti-mated
60 percent of all low-income uninsured children. The USDA added a health insurance information box to its prototype application forms, although no information is available on how widely used the new prototype forms are. Other efforts have included sending informational flyers to parents and positioning trained volunteers at schools to answer questions and help
complete applications (Pulos and Lee 1999). States that have attempted to
coordinate children's health insurance coverage with the National School
Lunch Program have faced a number of barriers, including the need to protect the privacy of lunch program applicants and the fact that Medicaid and CHIP programs require more information (e.g., details on income, other sources of health insurance, and immigration status) than the National School Lunch Program (Pulos and Lee 1999). One suggestion has been to use participation in the National School Lunch Program as presumptive proof of eligibility for health insurance ("A Sensible Way to Improve Kid Care" 1999). It will be important to identify how programs can successfully overcome these hurdles, because these data suggest that removing such barriers could yield substantial reductions in the number of children who are uninsured.
To be successful, outreach and enrollment efforts must address other
barriers as well. Focus groups conducted in California in 1998 suggest
that there are many reasons that uninsured children do not obtain public
coverage (Lake Snell Perry & Associates 1998). The issues included
confusion about the eligibility criteria, frustration with the enrollment
process, the negative image associated with enrolling in a program so closely linked to welfare, and concerns about the quality of health care services available through public programs. An additional issue for immigrant families in California was the concern that enrollment could threaten their immigration status. Informing the parents who participate in the National School Lunch Program that their uninsured children are eligible for public coverage may be only one part of the solution; it may also be necessary to address these other concerns.
While these data indicate that the majority of uninsured children live in
families that participate in other government programs, a large number of uninsured childrenover 1.5 million live in low-income families that do not participate in these programs. Identifying these children and getting them health insurance coverage may pose even greater obstacles. Recent evidence also suggests that growing numbers of children and families are not participating in other programs, such as Food Stamps, for which they are eligible (Zedlewski and Brauner 1999). If the objective is to provide insurance and other benefits to low-income children, new strategies may be required in the era of federal welfare reform.
Notes
1. Because of data issues, we do not report estimates of the number of
uninsured children who live in families that participate in either the Head Start or the Section 8 Housing programs, although preliminary estimates suggest that only a small number of additional children would be reached. Data from the second round of the National Survey of America's Families will permit a more accurate assessment for Head Start and Section 8 programs and will allow an assessment of the number of uninsured children whose families received the Earned Income Tax Credit.
2. The 13 selected states are Alabama, California, Colorado, Florida,
Massachusetts, Michigan, Minnesota, Mississippi, New Jersey, New York,
Texas, Washington, and Wisconsin.
3. In part, the inclusion of a con-firmation question in the NSAF reduces
the number of children identified as uninsured to levels below those identified by the Current Population Survey (CPS). Differences between the NSAF and CPS may also arise because the NSAF collects data on insurance coverage at the time of the survey, but CPS data pertain to insurance coverage during the previous calendar year.
4. The household response rate for the NSAF is 70 percent (Brick et al.
1999). Responses to the interviews are weighted to reflect the design features of the sample, including the oversampling of low-income households in 13 states, and contain adjustments for nonresponse and undercoverage. We compute variance estimates using a replication method that adjusts for the survey's complex sample design. Flores-Cervantes, Brick, and DiGaetano (1999) describe this method and its application to the NSAF in detail. We use imputed data for health insurance, income, and other variables
with missing values. Imputed values account for 1.3 percent or less of all
observations for health insurance (Dipko et al. 1999).
5. Families with children age 5 or older were asked whether someone
received benefits from the free or reduced-cost lunch program at school.
The NSAF also assessed family participation in the School Breakfast Program.
Ninety-seven percent of uninsured children with family participation in either program lived in families that received free or reduced-cost lunches; including breakfast-only families did not significantly change our estimates.
6. Families with children under age 6 were asked whether anyone received benefits from the WIC program.
7. An income measure defined during the administration of the survey
was used for determining who would be asked the school lunch and WIC questions. Thus, we may be missing some families that participated in these programs, and a small portion (6 percent) of the families that responded to this question were reclassified as having incomes higher than 200 percent of the FPL.
8. Although insurance coverage and Food Stamp program participation
reflect the family's status at the time of the survey, School Lunch, WIC, and Unemployment Compensation participation was measured for calendar year
1996. Thus, we may be missing some uninsured children whose families did
not participate in these latter programs in calendar year 1996 but who participated at the time of the survey in 1997; at the same time, some of the children who were uninsured at the time of the survey may not have been uninsured at the time the family participated in these programs. However, since being currently uninsured and being uninsured during the last 12
months is highly correlated (the correlation coefficient is over 80 percent), there is a high likelihood that the child was uninsured when the family was participating in these programs.
9. To the extent possible, we have compared our estimates of program par-ticipants to administrative counts of par-ticipants. Our estimates appear reasonable when compared to administrative data, especially in light of conceptual differences between the NSAF estimates and the administrative data. Government sources (U.S. Congress 1998) report that 14.6 million children received free or reduced-price lunches in calendar year 1996, while our data indicate that about 18 million children lived in families that
received free or reduced-price lunches (we cannot identify who received free or reduced-price lunches in a family). Government statistics (DHHS 1999)
indicate that 5.6 million children received WIC benefits each month in
1996, while our data indicate that 7.1 million children under age 6 lived in
families that received WIC benefits at some point during 1996 (we cannot identify who received WIC benefits in a particular family). The NSAF reports that 8.9 million children lived in families that received food stamps at a point in time during 1997, while administrative records (DHHS 1999) indicate that about 9.6 million children received food stamps on a monthly basis in 1998. Administrative data on recipients of unemployment compensation do not
indicate whether there are children under age 18 in the household and thus cannot be made comparable to the NSAF estimates. However, we estimate that about 6 million nonelderly adults received Unemployment Compensation benefits in 1996, while administrative data indicate that there were 8.1 million beneficiaries in that year (U.S. Congress 1998).
10. For a summary of outreach strategies, see Health Resources and
Services Administration (1999).
References
"A Sensible Way to Improve Kid Care." 1999. Chicago Tribune. September 26 (editorial).
Brick, Pat Dean, Genevieve Kenney, Robin McCullough-Harlin, Shruti Rajan, Fritz Scheuren, Kevin Wang, J. Michael Brick, and Pat Cunningham. 1999. 1997 NSAF Survey Methods and Data Reliability. Methodology
Series No. 1. Washington, D.C.: The Urban Institute. July.
The Children's Partnership. 1999. "Express Lane Eligibility: How to
Enroll Large Groups of Eligible Children in Medicaid and CHIP."
Prepared for the Kaiser Commission on Medicaid and the Uninsured.
Washington, D.C.: Kaiser Commission.
DHHS. See U.S. Department of Health and Human Services.
Dipko, Sarah, Michael Skinner, Nancy Vaden-Kiernan, John Coder,
Esther Engstrom, Shruti Rajan, and Fritz Scheuren. 1999. 1997 NSAF Data
Editing and Imputation. Methodology Series No. 10. Washington, D.C.: The
Urban Institute. April.
Dubay, Lisa, and Genevieve Kenney. 1996. "Revisiting the Issues:
The Effects of Medicaid Expansions on Insurance Coverage of Children."
The Future of Children 6 (1): 152-61.
Flores-Cervantes, Ismael, J. Michael Brick, and Ralph DiGaetano. 1999. 1997 NSAF Variance Estimation. Methodology Series No. 4. Washington, D.C.: The Urban Institute. March.
Health Resources and Services Administration. 1999. "MCH Program Interchange: Focus on Outreach." Arlington, Va.: National Center for
Education and Maternal and Child Health.
Lake Snell Perry & Associates. 1998. Barriers to Medi-Cal Enrollment
and Ideas for Improving Enrollment: Findings from Eight Focus Groups with
Parents of Potentially Eligible Children. Menlo Park, Calif.: Kaiser Family Foundation.
Pulos, Vicky, and Lana Lee. 1999. "Promising Ideas in Children's Health
Insurance." Washington, D.C: Families USA.
Rajan, Shruti, Stephen Zuckerman, and Niall Brennan. 1999. "Verifying Insurance Coverage: The Impact of Measuring the Uninsured within NSAF." Urban Institute Working Paper. Washington, D.C.: The Urban Institute.
Selden, Thomas, Jessica Banthin, and Joel Cohen. 1998. "Medicaid's
Problem Children: Eligible but Not Enrolled." Health Affairs 17 (3): 192-200.
U.S. Congress. 1998. House Committee on Ways and Means. 1998 Green Book. Washington, D.C.: U.S. Government Printing Office.
U.S. Department of Health and Human Services. 1998. "Report to the
President: Interagency Task Force on Children's Health Insurance Outreach." http://www.hcfa.gov/init/chiprpt.htm. June 18.
Genevieve M. Kenney is a principal research associate in the Urban
Institute's Health Policy Center. Her research focuses on the study of how public policies affect access to care and insurance coverage for pregnant women and children.
Jennifer M. Haley is a research associate in the Urban Institute's Health Policy Center whose focus has been on analyzing the NSAF.
Frank Ullman is a research associate with the Urban Institute's Health
Policy Center, where he focuses on implementation of state children's health insurance programs.
Usage, posting and reprint of materials on the UI web site:
Most publications may be downloaded free of charge from the web site in PDF format. This information may be used and copies made for research, academic, policy or other non-commercial purposes. Proper attribution is required. Copyright of the written materials contained within the Urban Institute website is owned or controlled by the Urban Institute. Posting UI research papers on other websites is permitted subject to prior approval from the Urban Institute—contact paffairs@ui.urban.org.
If you are unable to access or print the PDF document please contact us or call the Publications Office at (202) 261-5687.
Disclaimer: The nonpartisan Urban Institute publishes studies, reports, and books on timely topics worthy of public consideration. The views expressed are those of the authors and should not be attributed to the Urban Institute, its trustees, or its funders.