Abstract
In the United States (US), a parent’s health insurance status affects their children’s access to health care making it critically important to examine trends in coverage for both children and parents. To gain a better understanding of these health insurance trends, we assessed the coverage status for both children and their parents over an 11-year time period (1998–2008). We conducted secondary analysis of data from the nationally-representative Medical Expenditure Panel Survey. We examined frequency distributions for full-year child/parent insurance coverage status by family income, conducted Chi-square tests of association to assess significant differences over time, and explored factors associated with full-year insurance coverage status in 1998 and in 2008 using logistic regression. When considering all income groups together, the group with both child and parent insured decreased from 72.4 % in 1998 to 67.2 % in 2008. When stratified by income, the percentage of families with an insured child, but an uninsured parent increased for low-income families from 12.4 to 25.1 % and from 3.8 to 7.1 % for middle-income families when comparing 1998–2008. In regression analyses, family income remained the strongest characteristic associated with a lack of full-year health insurance. As future policy reforms take shape, it will be important to look beyond children’s coverage patterns to assess whether gains have been made in overall family coverage.
Keywords: Health insurance coverage, Children’s health, Access to care, Family health, Uninsured
Introduction
Both lack of health insurance coverage and health insurance coverage discontinuity are associated with decreased access to health care for families, often resulting in unmet medical and prescription drug needs and a lack of recommended preventive health services [1–7]; all leading to generally poorer health [8, 9]. Those without health insurance coverage also have higher mortality rates than those with private health insurance [10]. The most common source of health insurance in the US is employer-sponsored coverage. Between 2000 and 2008, fewer employers in the United States (US) offered health insurance to families: the rate of employer-sponsored coverage decreased 6 % during this time period. For families still able to purchase coverage through employers, health insurance premiums increased steadily averaging 113 % between 2001 and 2011 [11, 12]. Due to these changes in access to coverage, millions of US families went without any health insurance while others had mixed coverage status within the family (i.e. parent(s) had insurance/child did not; child had insurance/parent(s) did not), or had difficulty attaining continuous coverage [13–15].
The increasing difficulty US families have had obtaining stable health insurance coverage has fueled action at the federal level. In 1997, legislation was passed to create the Children’s Health Insurance Program (CHIP), which increased federal and state funding for children’s public health insurance [16]. Once CHIP was implemented, health insurance rates improved for children in families earning less than 400 % of the federal poverty level (FPL) [17]. CHIP was reauthorized in 2009, which expands public health insurance coverage for up to 4.1 million additional children by 2013 [18], and the Patient Protection and Affordable Care Act (PPACA) of 2010 has additional provisions to extend coverage to a greater number of children [16, 19].
While health insurance coverage for children is an important factor in their access to health care, gains in children’s coverage reflect only a part of the family health insurance equation: a positive relationship also exists between parents’ coverage and their child’s health insurance status. Compared to children with uninsured parents, children with insured parents are more likely to maintain stable coverage and to receive recommended health care services [7, 20–22]. While the CHIP has increased coverage for children, public insurance has been largely unavailable for non-disabled adults, regardless of income level. One study based on Current Population Survey data found 33.8 % of children under age 18 were covered by Medicaid versus a mere 9.9 % of adults in 2009 [23]. The PPACA has the potential to increase the availability of insurance for children as well as adults through health insurance exchanges and increased eligibility for Medicaid programs, but these gains have yet to be made [16, 19].
Past studies have looked at patterns of health insurance coverage for children or coverage for adults separately, but there is limited information about trends in family coverage [17, 24, 25]. In order to attain a true picture of access to health care for children, it is important to simultaneously understand trends in health insurance coverage for both children and their parents. Our study linked children and their parents in a nationally-representative dataset, from 1998 through 2008, to examine and compare the trends in health insurance coverage for both children and parents. Since health insurance status is also associated with income [26, 27] and it is likely that different income groups may have experienced different trends over time, we also looked at these trends stratified by income.
Methods
Data
This analysis used data from the Medical Expenditure Panel Survey-Household Component (MEPS-HC), which collects information from a subsample of households from the National Health Interview Survey and utilizes a stratified and clustered random sample with weights that produce nationally representative estimates for the civilian, non-institutionalized US population [28, 29]. MEPS-HC selects a new panel of respondents each year, and data is collected from each panel 5 times over a 2-year period. Each annual public use file contains data from two overlapping panels of the MEPS (e.g. the 2008 file contains data from the second year of panel 12 and the first year of panel 13). Each year of MEPS-HC data constitutes a nationally representative sample and pooling the data produces average annual estimates. MEPS survey design and methodology are reported elsewhere [30–33]. We combined yearly data for an 11-year period (1998–2008) from annual public use files [34].
We included children aged 0–17 years, with responses to one full year of the survey (N = 97,868). We linked each child to one or both parents and then constructed child/parent health insurance status variables. Children who could be linked to at least one biological, adopted, and/or step-parent residing in the same household were included (MEPS does not include variables for linking foster parents or non-parent guardians) (n = 94,675). We narrowed this group further to include only child and parent pairs for whom health insurance information was available for the full year; resulting in a final sample size of 93,419, weighted to a yearly average of about 70 million children [35].
Variables
We constructed child/parent variables to represent full-year insurance coverage status for child and parent pairs including: (1) child insured/parent insured, (2) child insured/parent not insured, (3) child not insured/parent insured, and (4) child not insured/parent not-insured [36]. MEPS-HC assesses insurance coverage status monthly. We utilized each person’s monthly coverage status to create full-year insurance variables. In this study, to be considered insured for the full-year, the child and/or parents had to report having at least 1 day of health insurance coverage in each of 12 months of the calendar year. For ‘parent’ insurance status, we considered parents insured if at least one parent was insured for the full-year. Parents were uninsured if the sole parent (in single parent households) or both parents were uninsured for some or all of the year. We based our household income stratifications on MEPS classifications, defining low-income as <200 % FPL (this combines the MEPS ‘poor’, ‘near poor’, and ‘low-income’ categories); middle-income as 200–<400 % FPL, and high-income as ≥400 % FPL [36]. We combined the MEPS poor, near poor, and low-income groups together to represent low-income for this study as many public health insurance programs and other charitable programs consider households earning less than 200 % FPL eligible for free or reduced-cost services [37].
Other demographic characteristics examined included child’s age, region of residence, health status (as perceived by the reporting parent), combined race/ethnicity, family composition (one parent in the household vs. two parents in the household), parent education, and parent employment. Note that race was characterized dissimilarly in different years of the MEPS. From 1998 to 2001, race was recorded as being American Indian, Aleut or Eskimo, Asian or Pacific Islander, black, or white; from 2002 to 2008, race categories were changed to white only, black only, American Indian/ Alaska Native only, Asian only, Native Hawaiian/Pacific Islander only, or multiple races. Therefore, our race/ethnicity categories of white/non-Hispanic, non-white/non-Hispanic, and Hispanic/any race are not directly comparable over time [e.g. in 1998 those recorded as being white/non-Hispanic could have been white plus another (unrecorded) race but not Hispanic, while in 2008, the category corresponds to those who were only white and not Hispanic].
Analysis
We examined frequency distributions for full-year child/ parent insurance coverage status stratified by income. We conducted Chi-square tests to assess significant differences in insurance status between 1998 and 2008 overall and by income level. We used logistic regression to explore additional demographic characteristics associated with health insurance coverage status in 1998 and in 2008. We reported measures of association from regression modeling as relative risks [38]. Sampling stratification variables and weights were used to account for the complex sample design of the survey, and all analyses were conducted using SUDAAN software, version 10.0.1 (Research Triangle Institute, Research Triangle Park, NC). This study was considered exempt by the Oregon Health & Science University Institutional Review Board because MEPS data is publicly available.
Results
When considering all income groups together over the 11-year study period (1998–2008), the child insured and parent not insured group showed the most change, increasing steadily from 6.3 to 12.7 % (Fig. 1). The group with both child and parent insured decreased from 72.4 to 67.2 %, with the most notable drop between 2006 and 2008. The other two groups (child not insured/parent insured and child not insured/parent not insured) saw little change. Also notable in Fig. 1 is the consistent percentage of families with uninsured children and insured parents.
When stratified by income as shown in Table 1, more drastic differences in coverage experienced by low- and middle-income US families between 1998 and 2008 become evident. This stratification reveals persistent disparities in coverage patterns between income groups. Most striking for the low-income group is the increasing percentage of families with child insured/parent not insured (from 12.4 to 25.1 %). This coincides with a decrease in low-income families with both child and parent insured (from 54.5 to 48.6 %) and both child and parent uninsured (from 26.3 to 21.4 %). Middle-income families saw a decrease in the percentage of those with both child and parent insured (from 78.4 to 72.9 %); however, the percentage of families with both child and parent not insured showed some early declines but ultimately remained the same over the entire time period.
Table 1.
Full-year* health insurance status | %
|
||
---|---|---|---|
1998 | 2008 | ||
Low-income (< 200 % FPL) | |||
Child insured/parent insured** | 54.5 | 48.6 | ^ |
Child insured/parent not insured** | 12.4 | 25.1 | + |
Child not insured/parent insured** | 6.8 | 4.9 | ^ |
Child not insured/parent not insured** | 26.3 | 21.4 | ^ |
Middle-income (200–400 % FPL) | |||
Child insured/parent insured** | 78.4 | 72.9 | ^ |
Child insured/parent not insured** | 3.8 | 7.1 | ^ |
Child not insured/parent insured** | 4.6 | 7.0 | ^ |
Child not insured/parent not insured** | 13.2 | 13.0 | |
High-income (≥400 % FPL) | |||
Child insured/parent insured** | 89.9 | 87.6 | |
Child insured/parent not insured** | # | # | NA |
Child not insured/parent insured** | # | 5.3 | NA |
Child not insured/parent not insured** | 7.1 | 5.8 |
Source: Medical expenditures panel survey-household component, 1998–2008
FPL Federal Poverty Level
Full-year insurance status: MEPS-HC assesses insurance coverage status monthly, so we utilized each person’s monthly coverage status to create full-year insurance variables. To be considered insured for the full-year, the child and/or parents had to report having some health insurance coverage in all 12 months of the calendar year
For ‘parent’ insurance status, we considered parents insured if at least one parent was insured for the full-year. Parents were uninsured if the sole parent (in single parent households) or both parents were uninsured for some or all of the year
Estimates unreliable due to small number (N < 30)
P value < 0.001 for comparisons between 1998 and 2008
P value < 0.05 for comparisons between 1998 and 2008
In addition to the declining percentage of coverage for both children and parents in low- and middle-income families, Fig. 2 illuminates the persistent disparities between income groups. In comparison to the large percentage of high-income children and parents with insurance coverage, the percentage of low-income families with both child and parent covered dipped below 50 % by 2008. Conversely, the majority of low-income families did not have health insurance coverage for a child and/or a parent in 2008 as compared to the small minority of high-income families.
Several characteristics were significantly associated with full-year health insurance coverage for children and their parents in both 1998 and 2008. The most significant association was family income; those making <200 % FPL were less likely to have both child and parent insured for the full-year than those with family incomes ≥400 % FPL [adjusted relative risk (aRR) 0.69, confidence interval (CI): 0.63–0.74 in 1998; aRR 0.66, CI: 0.61–0.70 in 2008]. Additional characteristics consistently associated with a lack of insurance include living in the South, being Hispanic, having only one parent in the household, and parents with <12 years of education. Parent employment was initially found to be non-significant in multiple logistic regression (indicating multi-collinearity among the parent characteristics), but when included as part of an interaction term, was found to be an effect modifier of the relationship between full-year child/parent health insurance coverage status and parent education and family composition. Of note, few changes were seen when comparing significant associations in 1998 versus 2008 (Table 2).
Table 2.
1998
|
2008
|
|||
---|---|---|---|---|
Unadjusted RR (95 % CI) | Adjusted RR (95 % CI) | Unadjusted RR (95 % CI) | Adjusted RR (95 % CI) | |
Family income | ||||
< 200 % FPL | 0.60 (0.56–0.65) | 0.69 (0.63–0.74) | 0.56 (0.51–0.60) | 0.66 (0.61–0.70) |
200– < 400 % FPL | 0.87 (0.83–0.91) | 0.88 (0.84–0.92) | 0.83 (0.79–0.88) | 0.85 (0.80–0.90) |
≥400 % FPL | 1.00 | 1.00 | 1.00 | 1.00 |
Age | ||||
0–4 | 0.91 (0.86–0.97) | 0.96 (0.90–1.01) | 0.99 (0.93–1.05) | 1.02 (0.97–1.09) |
5–9 | 0.93 (0.88–0.99) | 0.97 (0.92–1.02) | 1.03 (0.97–1.09) | 1.06 (0.99–1.12) |
10–13 | 0.99 (0.94–1.04) | 1.01 (0.96–1.05) | 1.05 (0.99–1.10) | 1.06 (1.00–1.11) |
14–17 | 1.00 | 1.00 | 1.00 | 1.00 |
Region | ||||
Northeast | 1.00 | 1.00 | 1.00 | 1.00 |
Midwest | 0.96 (0.90–1.04) | 0.94 (0.87–1.02) | 0.95 (0.88–1.02) | 0.95 (0.88–1.02) |
South | 0.82 (0.76–0.88) | 0.85 (0.79–0.90) | 0.80 (0.73–0.87) | 0.83 (0.77–0.90) |
West | 0.87 (0.80–0.95) | 0.93 (0.86–1.00) | 0.88 (0.82–0.95) | 0.95 (0.88–1.04) |
Health status | ||||
Excellent/very good/good | 1.00 | 1.00 | 1.00 | 1.00 |
Fair/poor | 0.82 (0.68–0.97) | 0.94 (0.83–1.07) | 0.95 (0.81–1.10) | 1.05 (0.94–1.18) |
Race/ethnicity | ||||
White, non-Hispanic | 1.00 | 1.00 | 1.00 | 1.00 |
Non-white, non-Hispanic | 0.92 (0.86–0.99) | 1.06 (1.00–1.12) | 0.90 (0.86–0.95) | 1.03 (0.98–1.08) |
Hispanic, any race | 0.65 (0.59–0.73) | 0.86 (0.79–0.93) | 0.61 (0.55–0.69) | 0.80 (0.73–0.87) |
Family composition | ||||
One parent in household | 0.79 (0.75–0.85) | 0.90 (0.85–0.95) | 0.75 (0.70–0.81) | + |
Two parents in household | 1.00 | 1.00 | 1.00 | 1.00 |
Parent education | ||||
≥12 years | 1.00 | 1.00 | 1.00 | 1.00 |
< 12 years | 0.62 (0.56–0.69) | + | 0.51 (0.44–0.59) | + |
Parent employment | ||||
At least one parent employed | 1.00 | 1.00 | 1.00 | 1.00 |
Parent(s) unemployed | 0.82 (0.75–0.90) | + | 0.72 (0.65–0.81) | + |
Parent education × parent employment (interaction) | ||||
At least one parent employed | ||||
Parent education ≥12 years | ^ | 1.00 | ^ | 1.00 |
Parent education < 12 years | ^ | 0.77 (0.69–0.87) | ^ | 0.74 (0.64–0.85) |
Parent(s) unemployed | ||||
Parent education ≥12 years | ^ | 1.00 | ^ | 1.00 |
Parent education < 12 years | ^ | 1.15 (1.02–1.29) | ^ | 1.03 (0.89–1.19) |
Family composition × parent employment (interaction) | ||||
At least one parent employed | ||||
One parent in household | ^ | # | ^ | 0.85 (0.79–0.92) |
Two parents in household | ^ | # | ^ | 1.00 |
Parent(s) unemployed | ||||
One parent in household | ^ | # | ^ | 1.05 (0.85–1.31) |
Two parents in household | ^ | # | ^ | 1.00 |
Source: Medical expenditures panel survey-household component (MEPS-HC), 1998–2008
Bold indicates RR significant at p < 0.05
RR relative risk; CI confidence interval, FPL federal poverty level
Full-year insurance status: MEPS-HC assesses insurance coverage status monthly, so we utilized each person’s monthly coverage status to create full-year insurance variables. To be considered insured for the full-year, the child and/or parent(s) had to report having at least 1 day of health insurance coverage in each of 12 months of the calendar year
Main effects for variables that are components of interaction terms are not estimated
Interaction terms not included in unadjusted regression models
Family composition × parent employment interaction was not significant and therefore was not included in the final regression model for 1998
Discussion
When considering patterns of health insurance coverage for US children and their parents from 1998 through 2008, there was a slow and steady decline in the percentage of those with full-year coverage for a child and at least one parent. Over the same time period, there was a steady increase in the percentage of families with an insured child but no coverage for their parents. When stratified by income, the changes in health insurance coverage patterns among low- and middle-income families were more dramatic as compared to high-income families. Most notable were the substantial decreases in the percentage of low-and middle-income families with both a child and parent insured, a simultaneous increase in those who had an insured child with an uninsured parent, and fairly consistent percentages where both child and parent were uninsured.
Our findings confirm previous studies that have shown children’s health insurance coverage rates increased after the passage of CHIP [39–41], though rates of increase had leveled off by the end of the past decade [17]. Our study adds to this body of knowledge by giving perspective on what has happened to parents during this same time period: although children have gained health insurance, parents have lost coverage. These findings are concerning because (1) lack of insurance leads to decreased ability for families to access health care [42–44], and (2) children’s health insurance coverage status can be negatively impacted by their parents’ lack of coverage [20–22, 45]. One study found parents’ with the fewest months of coverage had the highest odds of having uninsured children as compared to parents’ with continuous coverage [45]. Thus, despite gains in children’s health insurance, the erosion of parents’ coverage may still lead to unmet health care needs for both children and their parents. Since the health insurance status of children is often associated with that of their parents, we can expect disparities to persist until all family members receive coverage.
While our findings also show that several demographic characteristics are significantly associated with a lack of full-year health insurance, the nature of these associations have not changed much from 1998 to 2008, suggesting that there may be factors other than demographics that are contributing to the downward trends in full-year health insurance coverage.
Families will likely have increasing access to insurance coverage after full implementation of the PPACA. For example, the PPACA calls for (by 2014) expanding Medicaid to cover all Americans making less than 133 % FPL, creating state health insurance exchanges to allow those without insurance offered through their employers to buy it directly, and implementing tax credits to help middle class families buy insurance [19, 46]. Once these policies are fully implemented, some experts predict that uninsurance rates will drop by 50–70 % for adults and 40 % for children [47, 48]. Medicaid expansions may reverse the rising trend of low-income families with uninsured parents, and CHIP expansions may help more middle-class children gain insurance coverage. Since the Supreme Court ruling upheld the Medicaid expansion, but not enforcement for states to participate in the expansion, disparities in adult health insurance coverage may continue [49–51]. Thus, even with full implementation of the PPACA we may not see increases in health insurance rates among middle-income parents unless coverage becomes more affordable or a public option is made available to them.
This study highlights an alarming downward trend in health insurance coverage for US families. It also has relevance to future evaluations of how coverage patterns might change through PPACA implementation. Not only do study findings provide important historical comparisons, but our methods for assessing coverage patterns among US children and their parents will be important to assess future trends. It is essential to broaden studies of insurance coverage beyond children’s coverage in order get a more complete picture of how policies are affecting children and their families. Additionally, it is important to consider the relationship between changes in coverage and income level.
Limitations
Our analyses were limited by the existing data, and as with all studies that rely on self-report, response bias remains a possibility. We measured health insurance status changes over time, but MEPS data do not provide explanations about why these changes have occurred. Finally, this study does not account for state-level differences in policies which have expanded and contracted public health insurance to the uninsured, nor does it account for specific economic trends.
Conclusions
From 1998 through 2008, low- and middle-income children experienced an increase in health insurance coverage, but coverage for their parents decreased. Measuring success by patterns of children’s coverage in isolation misses persistent disparities in family coverage. Further, insurance coverage inequalities between low-income and high-income families have persisted despite efforts to increase spending on public coverage. Continued disparities and a downward trend in coverage for entire families will negatively impact children’s health. These findings support continued efforts to achieve policies that ensure better access to health insurance coverage for all.
Acknowledgments
This study was financially supported by the Agency for Healthcare Research and Quality (AHRQ) (1 R01 HS018569) and the Oregon Health & Science University Department of Family Medicine. The funding agencies had no involvement in the design and conduct of the study; analysis, and interpretation of the data; and preparation, review, or approval of the manuscript. AHRQ collects and manages the Medical Expenditure Panel Survey.
Appendix
See Table 3.
Table 3.
Full-year insurance status* | Years | < 200 % FPL Unweighted N (%) |
200– < 400 FPL Unweighted N (%) |
≥400 FPL Unweighted N (%) |
Total Unweighted N (%) |
---|---|---|---|---|---|
Child insured/parent insured** | 1998 | 1,688 (54.5) | 1,489 (78.4) | 1,039 (89.9) | 4,216 (72.4) |
1999 | 1,484 (52.6) | 1,529 (79.0) | 1,222 (88.5) | 4,235 (71.5) | |
2000 | 1,419 (50.7) | 1,520 (75.5) | 1,280 (90.0) | 4,219 (71.0) | |
2001 | 2,022 (50.7) | 2,090 (77.5) | 1,642 (89.6) | 5,754 (71.2) | |
2002 | 2,605 (51.9) | 2,402 (77.2) | 1,781 (90.3) | 6,788 (71.4) | |
2003 | 2,636 (51.7) | 1,852 (78.9) | 1,428 (88.6) | 5,916 (71.4) | |
2004 | 2,622 (52.9) | 1,687 (77.4) | 1,460 (89.2) | 5,769 (71.3) | |
2005 | 2,522 (53.2) | 1,705 (75.4) | 1,458 (89.2) | 5,685 (70.9) | |
2006 | 2,411 (51.9) | 1,672 (74.1) | 1,471 (89.8) | 5,554 (70.3) | |
2007 | 2,029 (48.6) | 1,532 (72.0) | 1,341 (88.6) | 4,902 (68.4) | |
2008 | 2,305 (48.6) | 1,655 (72.9) | 1,265 (87.6) | 5,225 (67.2) | |
Child insured/parent not insured** | 1998 | 461 (12.4) | 88 (3.8) | # | 561 (6.3) |
1999 | 500 (16.0) | 69 (2.7) | # | 594 (7.6) | |
2000 | 537 (15.7) | 98 (4.6) | # | 651 (7.5) | |
2001 | 767 (17.0) | 152 (4.7) | # | 949 (8.3) | |
2002 | 1,232 (20.9) | 211 (5.3) | # | 1,476 (10.0) | |
2003 | 1,322 (21.6) | 232 (6.1) | # | 1,585 (10.8) | |
2004 | 1,371 (22.5) | 176 (6.1) | # | 1,569 (11.1) | |
2005 | 1,431 (24.3) | 189 (6.6) | # | 1,641 (11.8) | |
2006 | 1,361 (23.9) | 222 (7.8) | # | 1,612 (12.0) | |
2007 | 1,208 (24.7) | 180 (7.3) | # | 1,413 (12.2) | |
2008 | 1,407 (25.1) | 179 (7.1) | # | 1,619 (12.7) | |
Child not insured/parent insured** | 1998 | 242 (6.8) | 123 (4.6) | # | 393 (4.8) |
1999 | 230 (7.2) | 148 (5.8) | 50 (3.4) | 428 (5.6) | |
2000 | 180 (6.6) | 122 (6.3) | 57 (4.1) | 359 (5.7) | |
2001 | 273 (6.7) | 156 (5.2) | 50 (2.7) | 479 (5.0) | |
2002 | 260 (4.8) | 200 (5.4) | 80 (3.9) | 540 (4.7) | |
2003 | 304 (5.5) | 136 (5.4) | 69 (3.7) | 509 (5.0) | |
2004 | 287 (5.6) | 134 (5.7) | 52 (3.4) | 473 (5.0) | |
2005 | 225 (4.7) | 163 (6.5) | 64 (3.8) | 542 (5.1) | |
2006 | 220 (4.4) | 142 (5.7) | 79 (4.3) | 441 (4.8) | |
2007 | 228 (5.8) | 130 (5.6) | 63 (3.9) | 421 (5.1) | |
2008 | 241 (4.9) | 160 (7.0) | 69 (5.3) | 470 (5.7) | |
Child not insured/parent not insured** | 1998 | 920 (26.3) | 314 (13.2) | 106 (7.1) | 1,340 (16.6) |
1999 | 884 (24.3) | 297 (12.6) | 101 (6.5) | 1,282 (15.3) | |
2000 | 962 (27.0) | 360 (13.7) | 83 (4.8) | 1,405 (15.8) | |
2001 | 1,116 (25.7) | 401 (12.7) | 116 (6.3) | 1,633 (15.6) | |
2002 | 1,311 (22.5) | 437 (12.1) | 107 (4.6) | 1,855 (13.9) | |
2003 | 1,183 (21.2) | 283 (9.7) | 106 (5.9) | 1,572 (12.9) | |
2004 | 1,146 (19.0) | 299 (10.8) | 101 (6.3) | 1,546 (12.7) | |
2005 | 1,033 (17.7) | 310 (11.5) | 104 (5.9) | 1,447 (12.3) | |
2006 | 1,120 (19.8) | 337 (12.4) | 87 (4.7) | 1,544 (12.9) | |
2007 | 984 (21.0) | 332 (14.2) | 101 (6.1) | 1,417 (14.3) | |
2008 | 1,080 (21.4) | 304 (13.0) | 96 (5.8) | 1,480 (14.4) |
Source: Medical expenditures panel survey-household component (MEPS-HC), 1998–2008
FPL federal poverty level
Full-year insurance status: MEPS-HC assesses insurance coverage status monthly, so we utilized each person’s monthly coverage status to create full-year insurance variables. To be considered insured for the full-year, the child and/or parents had to report having some health insurance coverage in all 12 months of the calendar year
For ‘parent’ insurance status, we considered parents insured if at least one parent was insured for the full-year. Parents were uninsured if the sole parent (in single parent households) or both parents were uninsured for some or all of the year
Estimates unreliable due to small number (N < 30)
Footnotes
Conflict of interest We have no financial conflicts of interest to disclose.
Contributor Information
Heather Angier, Email: angierh@ohsu.edu, Department of Family Medicine, Oregon Health & Science University, 3181 Sam Jackson Rd, Mail Code FM, Portland, OR 97239, USA.
Jennifer E. DeVoe, Email: devoej@ohsu.edu, Department of Family Medicine, Oregon Health & Science, University and OCHIN, Inc, 3181 Sam Jackson Rd, Mail Code FM, Portland, OR 97239, USA
Carrie Tillotson, Email: tillotso@ohsu.edu, Department of Family Medicine, Oregon Health & Science University, 3181 Sam Jackson Rd, Mail Code FM, Portland, OR 97239, USA.
Lorraine Wallace, Email: Lorraine.wallace@osumc.edu, Department of Family Medicine, The Ohio State University, 277 Northwood-High Building, 2231 North High Street, Columbus, OH 43201, USA.
Rachel Gold, Email: Rachel.gold@kpchr.org, Center for Health Research, Kaiser Permanente NW, 3800 N. Interstate, Portland, OR 97227, USA.
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