Why millions of children eligible for Medicaid and SCHIP are uninsured: poor retention versus poor take-up

Inequities in Time Spent Coordinating Care for Children and Youth With Special Health Care Needs

OBJECTIVE

In the United States, caregivers of children and youth with special health care needs (CYSHCN) must navigate complex, inefficient health care and insurance systems to access medical care. We assessed for sociodemographic inequities in time spent coordinating care for CYSHCN and examined the association between time spent coordinating care and forgone medical care.

METHODS

This cross-sectional study used data from the 2018-2020 National Survey of Children's Health, which included 102,740 children across all 50 states. We described the time spent coordinating care for children with less complex special health care needs (SHCN) (managed through medications) and more complex SHCN (resulting in functional limitations or requiring specialized therapies). We examined race-, ethnicity-, income-, and insurance-based differences in time spent coordinating care among CYSHCN and used multivariable logistic regression to examine the association between time spent coordinating care and forgone medical care.

RESULTS

Over 40% of caregivers of children with more complex SHCN reported spending time coordinating their children's care each week. CYSHCN whose caregivers spent ≥ 5 h/wk on care coordination were disproportionately Hispanic, low-income, and publicly insured or uninsured. Increased time spent coordinating care was associated with an increasing probability of forgone medical care: 6.7% for children whose caregivers spent no weekly time coordinating care versus 9.4% for< 1 hour; 11.4% for 1 to 4 hours; and 15.8% for ≥ 5 hours.

CONCLUSIONS

Reducing time spent coordinating care and providing additional support to low-income and minoritized caregivers may be beneficial for pediatric payers, policymakers, and health systems aiming to promote equitable access to health care for CYSHCN.

Effects of the Children's Health Insurance Reauthorization Act on immigrant children's healthcare access

OBJECTIVE

To estimate the effects of Children's Health Insurance Reauthorization Act (CHIPRA), a policy that provided states the option to extend Medicaid/CHIP eligibility to immigrant children who have not been legal residents for five years or more, on insurance coverage, access, utilization, and health outcomes among immigrant children.

DATA SOURCES

Restricted use 2000-2016 National Health Interview Survey (NHIS).

STUDY DESIGN

We used a difference-in-differences design that compared changes in CHIPRA expansion states to changes in non-expansion states.

DATA COLLECTION

Our sample included immigrant children who were born outside the US, aged 0-18 with family income below 300% of the Federal Poverty Level (FPL). Subgroup analyses were conducted across states that did and did not have a similar state-funded option prior to CHIPRA (state-funded vs. not state-funded), by the length of time in the US (5 years vs. 5-14 years), and global region of birth (Latin American vs. Asian countries).

PRINCIPLE FINDINGS

We found that CHIPRA was associated with a significant 6.35 percentage point decrease in uninsured rates (95% CI: -11.25, -1.45) and an 8.1 percentage point increase in public insurance enrollment for immigrant children (95% CI: 1.26, 14.98). However, the effects of CHIPRA became small and statistically not significant 3 years after adoption. Effects on public insurance coverage were significant in states without state-funded programs prior to CHIPRA (15.50 percentage points; 95% CI:8.05, 22.95) and for children born in Asian countries (12.80 percentage points; 95% CI: 1.04, 24.56). We found no significant changes in health care access and utilization, and health outcomes, overall and across subgroups due to CHIPRA.

CONCLUSIONS

CHIPRA's eligibility expansion was associated with increases in public insurance coverage for low-income children, especially in states where CHIPRA represented a new source of coverage versus a substitute for state-funded coverage. However, we found evidence of crowd-out in certain subgroups and no effect of CHIPRA on access to care and health. Our results suggest that public coverage may be an important tool for promoting the well-being of immigrant children but other investments are still needed.

The Role of Marketplace Policy on Welcome Mat Effects for Children Eligible for Medicaid or the Children's Health Insurance Program

The Affordable Care Act (ACA) required coordination between Marketplaces, Medicaid, and the Children's Health Insurance Program (CHIP) in an effort to streamline application processes and improve enrollment. We use 2013-2018 data from the American Community Survey and difference-in-difference models to estimate the relationship between Marketplace policy and increases in Medicaid/CHIP coverage observed among pre-ACA eligible children after the implementation of the ACA ("welcome mat effects"). Our sample includes non-disabled, citizen children (0-18) at 139-250% FPL who were Medicaid-/CHIP-eligible before (and after) the implementation of the ACA. Marketplace policies studied include state-based versus federally-facilitated, and whether the Marketplace had authority to directly enroll Medicaid-/CHIP-eligible applicants into public coverage. Models also control for ACA adult Medicaid expansion policy and provide the first estimates in this literature for non-expansion states. Welcome mat effects were present among all Marketplace and expansion policy categories. However, public coverage increased more in states that empowered their Marketplace to enroll publicly-eligible applicants directly into Medicaid/CHIP and these results were driven by enrollment policy, not by choice of state-based versus federal based Marketplaces. Welcome mat effects were largest in expansion states (for most years) and among children whose parents did not hold employer-sponsored insurance coverage. Ranging from 9 to 13 percentage points, these estimates are larger than those found among other subgroups of children in the welcome mat literature. Although there is evidence of lagged effects for both welcome mat effects and the role of Marketplace policy in non-expansion states, by 2018 we find no differences in these measures by expansion policy.

Insurance Coverage for Children Impacts Reporting of Child Maltreatment by Healthcare Professionals

OBJECTIVES

Children's insurance coverage, through increased access and use of the healthcare system, may increase the likelihood that healthcare professionals (HCPs) will detect and report child maltreatment. We sought to estimate the association between insurance coverage for children and reporting of child maltreatment by HCPs.

STUDY DESIGN

We conducted a cross-sectional study of US counties from 2008 to 2015 using data from the US Census Bureau's Small Area Health Insurance Estimates, National Center for Health Statistics, and National Child Abuse and Neglect Data System. The primary predictor was counties' percent of children insured. We controlled for counties' children living at ≤200% federal poverty level, race/ethnicity demographics, and urban-rural status. The primary outcome was the rate of maltreatment reporting from HCPs. Generalized linear mixed effects models with repeated measures across years tested associations.

RESULTS

We included 5517 county-year observations involving 470 876 018 child-years. Counties' percent of children insured ranged from 74.6% to 99.2% with a median of 93.7% (IQR, 91.0-95.4). For every 1 percentage point increase in counties' percent of children insured, there was an associated 2% increase in child maltreatment reporting by HCPs (adjusted incidence rate ratio, 1.02; 95% CI, 1.02-1.03). If counties' percentage of insured children had been 1 percentage point greater in 2015, a predicted 5620 (95% CI, 5620-8089) additional reports would have been generated.

CONCLUSIONS

Among its other benefits for children's well-being, insurance coverage may also contribute to child protection by increasing the reporting of maltreatment among HCPs.

Using Appendicitis to Improve Estimates of Childhood Medicaid Participation Rates

OBJECTIVE

Administrative data are often used to estimate state Medicaid/Children's Health Insurance Program duration of enrollment and insurance continuity, but they are generally not used to estimate participation (the fraction of eligible children enrolled) because administrative data do not include reasons for disenrollment and cannot observe eligible never-enrolled children, causing estimates of eligible unenrolled to be inaccurate. Analysts are therefore forced to either utilize survey information that is not generally linkable to administrative claims or rely on duration and continuity measures derived from administrative data and forgo estimating claims-based participation. We introduce appendectomy-based participation (ABP) to estimate statewide participation rates using claims by taking advantage of a natural experiment around statewide appendicitis admissions to improve the accuracy of participation rate estimates.

METHODS

We used Medicaid Analytic eXtract (MAX) for 2008-2010; and the American Community Survey for 2008-2010 from 43 states to calculate ABP, continuity ratio, duration, and participation based on the American Community Survey (ACS).

RESULTS

In the validation study, median participation rate using ABP was 86% versus 87% for ACS-based participation estimates using logical edits and 84% without logical edits. Correlations between ABP and ACS with or without logical edits was 0.86 (P < .0001). Using regression analysis, ABP alone was a significant predictor of ACS (P < .0001) with or without logical edits, and adding duration and/or the continuity ratio did not significantly improve the model.

CONCLUSION

Using the ABP rate derived from administrative claims (MAX) is a valid method to estimate statewide public insurance participation rates in children.

Electronic health record tools to assist with children's insurance coverage: a mixed methods study

Background

Children with health insurance have increased access to healthcare and receive higher quality care. However, despite recent initiatives expanding children’s coverage, many remain uninsured. New technologies present opportunities for helping clinics provide enrollment support for patients. We developed and tested electronic health record (EHR)-based tools to help clinics provide children’s insurance assistance.

Methods

We used mixed methods to understand tool adoption, and to assess impact of tool use on insurance coverage, healthcare utilization, and receipt of recommended care. We conducted intent-to-treat (ITT) analyses comparing pediatric patients in 4 intervention clinics (n = 15,024) to those at 4 matched control clinics (n = 12,227). We conducted effect-of-treatment-on-the-treated (ETOT) analyses comparing intervention clinic patients with tool use (n = 2240) to intervention clinic patients without tool use (n = 12,784).

Results

Tools were used for only 15% of eligible patients. Qualitative data indicated that tool adoption was limited by: (1) concurrent initiatives that duplicated the work associated with the tools, and (2) inability to obtain accurate insurance coverage data and end dates. The ITT analyses showed that intervention clinic patients had higher odds of gaining insurance coverage (adjusted odds ratio [aOR] = 1.32, 95% confidence interval [95%CI] 1.14–1.51) and lower odds of losing coverage (aOR = 0.77, 95%CI 0.68–0.88), compared to control clinic patients. Similarly, ETOT findings showed that intervention clinic patients with tool use had higher odds of gaining insurance (aOR = 1.83, 95%CI 1.64–2.04) and lower odds of losing coverage (aOR = 0.70, 95%CI 0.53–0.91), compared to patients without tool use. The ETOT analyses also showed higher rates of receipt of return visits, well-child visits, and several immunizations among patients for whom the tools were used.

Conclusions

This pragmatic trial, the first to evaluate EHR-based insurance assistance tools, suggests that it is feasible to create and implement tools that help clinics provide insurance enrollment support to pediatric patients. While ITT findings were limited by low rates of tool use, ITT and ETOT findings suggest tool use was associated with better odds of gaining and keeping coverage. Further, ETOT findings suggest that use of such tools may positively impact healthcare utilization and quality of pediatric care.

Trial registration

ClinicalTrials.gov, NCT02298361; retrospectively registered on November 5, 2014.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-3159-x) contains supplementary material, which is available to authorized users.

Preventive Care Use Among Justice-Involved and Non-Justice-Involved Youth

BACKGROUND AND OBJECTIVES

Youth involved in the juvenile justice system (ie, arrested youth) are at risk for health problems. Although increasing preventive care use by justice-involved youth (JIY) is 1 approach to improving their well-being, little is known about their access to and use of care. The objective of this study was to determine how rates of well-child (WC) and emergency department visits, as well as public insurance enrollment continuity, differed between youth involved in the justice system and youth who have never been in the system. We hypothesized that JIY would exhibit less frequent WC and more frequent emergency service use than non-justice-involved youth (NJIY).

METHODS

This was a retrospective cohort study of administrative medical and criminal records of all youth (ages 12-18) enrolled in Medicaid in Marion County, Indiana, between January 1, 2004, and December 31, 2011.

RESULTS

The sample included 88 647 youth; 20 668 (23%) were involved in the justice system. JIY had lower use rates of WC visits and higher use rates of emergency services in comparison with NJIY. JIY had more and longer gaps in Medicaid coverage compared with NJIY. For all youth sampled, both preventive and emergency services use varied significantly by Medicaid enrollment continuity.

CONCLUSIONS

JIY experience more and longer gaps in Medicaid coverage, and rely more on emergency services than NJIY. Medicaid enrollment continuity was associated with differences in WC and emergency service use among JIY, with policy implications for improving preventive care for these vulnerable youth.

Reducing Medicaid Churning: Extending Eligibility For Twelve Months Or To End Of Calendar Year Is Most Effective

Medicaid churning--the constant exit and reentry of beneficiaries as their eligibility changes--has long been a problem for both Medicaid administrators and recipients. Churning will continue under the Affordable Care Act because, despite new federal rules, Medicaid eligibility will continue to be based on current monthly income. We developed a longitudinal simulation model to evaluate four policy options for modifying or extending Medicaid eligibility to reduce churning. The simulations suggest that two options--extending eligibility either to the end of a calendar year or for twelve months after enrollment--would be the most effective methods for reducing churning. The other options--a three-month extension or eligibility based on projected annual income--would reduce churning to a lesser extent. States should consider implementation of the option that best balances costs while improving access to coverage and, thereby, the health of Medicaid enrollees.

Medicaid Disenrollment Patterns Among Children Coming into Contact with Child Welfare Agencies

Objectives To examine retention of Medicaid coverage over time for children in the child welfare system. Methods We linked a national survey of children with histories of abuse and neglect to their Medicaid claims files from 36 states, and followed these children over a 4 year period. We estimated a Cox proportional hazards model on time to first disenrollment from Medicaid. Results Half of our sample (50 %) retained Medicaid coverage across 4 years of follow up. Most disenrollments occurred in year 4. Being 3-5 years of age and rural residence were associated with increased hazard of insurance loss. Fee-for-service Medicaid and other non-managed insurance arrangements were associated with a lower hazard of insurance loss. Conclusions for Practice A considerable number of children entering child environments seem to retain Medicaid coverage over multiple years. Finding ways to promote entry of child welfare-involved children into health insurance coverage will be critical to assure services for this highly vulnerable population.

Medicaid and CHIP Premiums and Access to Care: A Systematic Review

BACKGROUND

Premiums are required in Medicaid and the Children's Health Insurance Program in many states. Effects of premiums are raised in policy debates.

OBJECTIVE

Our objective was to review effects of premiums on children's coverage and access.

DATA SOURCES

PubMed was used to search academic literature from 1995 to 2014.

STUDY SELECTION

Two reviewers initially screened studies by using abstracts and titles, and 1 additional reviewer screened proposed studies. Included studies focused on publicly insured children, evaluated premium changes in at least 1 state/local program, and used longitudinal or repeated cross-sectional data with pre/postchange measures.

DATA EXTRACTION

We identified 263 studies of which 17 met inclusion criteria.

RESULTS

Four studies examined population-level coverage effects by using national survey data, 11 studies examined trends in disenrollment and reenrollment by using administrative data, and 2 studies measured additional outcomes. No eligible studies evaluated health status effects. Increases in premiums were associated with increased disenrollment rates in 7 studies that permitted comparison. Larger premium increases and stringent enforcement tended to have larger effects on disenrollment. At a population level, premiums reduce public insurance enrollment and may increase the uninsured rate for lower-income children. Little is known about effects of premiums on spending or access to care, but 1 study reveals premiums are unlikely to yield substantial revenue.

LIMITATIONS

Effect sizes were difficult to compare across studies with administrative data.

CONCLUSIONS

Public insurance premiums often increase disenrollment from public insurance and may have unintended consequences on overall coverage for low-income children.

ReCAP: Gaps in Insurance Coverage for Pediatric Patients With Acute Lymphoblastic Leukemia

QUESTION ASKED:

We sought to determine the likelihood that pediatric and adolescent acute lymphoblastic leukemia (ALL) patients experience a gap in health insurance coverage in the first 2 years of therapy.

SUMMARY ANSWER:

We found that 12% of patients with ALL in our sample who had insurance at diagnosis experienced a gap in insurance coverage during the first 2 years of therapy; that is, they had one or more clinic encounter at which they did not have insurance. Patients with public insurance at diagnosis were more likely to experience an insurance gap than those with private insurance at diagnosis, and those diagnosed in more recent years were less likely to experience a gap.

METHODS/APPROACH:

We determined insurance status at all clinic encounters at a tertiary children’s hospital within 2 years of diagnosis for patients diagnosed with ALL between 1998 and 2010, and calculated the odds of a gap occurring on the basis of demographic and diagnostic variables.

BIAS, CONFOUNDING FACTOR(S), DRAWBACKS:

Our assessment is from years before the roll-out of key Patient Protection and Affordable Care Act provisions, which should improve insurance coverage for pediatric and adolescent patients with ALL. In addition, we lacked information on patient or caregiver socioeconomic status, which may be important for explaining insurance gaps. Finally, our assessment is based on a single institution.

REAL-LIFE IMPLICATIONS:

Gaps in health insurance may exacerbate the financial and emotional burden associated with pediatric and adolescent cancer. Understanding the likelihood that these gaps will occur, as well as predictors of insurance gaps, will allow social workers and other providers to help families manage anticipated changes in insurance, with the goal of reducing unnecessary burden. [Figure: see text]

Improve Synergy Between Health Information Exchange and Electronic Health Records to Increase Rates of Continuously Insured Patients

Introduction:

The Affordable Care Act increases health insurance options, yet many Americans may struggle to consistently maintain coverage. While health care providers have traditionally not been involved in providing insurance enrollment support to their patients, the ability for them to do so now exists. We propose that providers could capitalize on the expansion of electronic health records (EHRs) and the advances in health information exchanges (HIEs) to improve their patients’ insurance coverage rates and continuity.

Evidence for Argument:

We describe a project in which we are building strategies for linking, and thus improving synergy between, payer and EHR data. Through this effort, care teams will have access to new automated tools and increased EHR functionality designed to help them assist their patients in obtaining and maintaining health insurance coverage.

Suggestion for the Future:

The convergence of increasing EHR adoption, improving HIE functionality, and expanding insurance coverage options, creates new opportunities for clinics to help their patients obtain public health insurance. Harnessing this nascent ability to exchange information between payers and providers may improve synergies between HIE and EHRs, and thus support clinic-based efforts to keep patients continuously insured.

Health Care Utilization among Children Enrolled in Medicaid and CHIP via Express Lane Eligibility

OBJECTIVE

To assess health care utilization among children enrolled in Medicaid and CHIP via Express Lane Eligibility (ELE).

DATA SOURCES/STUDY SETTING

Enrollment, claims, and encounter data for children enrolled in Medicaid or CHIP in Alabama, Iowa, Louisiana, and New Jersey during 2009-2012.

STUDY DESIGN

We compared health care utilization among children enrolled via ELE and nondisabled children who enrolled through standard pathways in each state. We used a two-step estimation approach, examining the likelihood of utilization and then the volume and cost of services among users. Regression adjustment corrected for demographic differences.

PRINCIPAL FINDINGS

Most ELE and comparison group children used services within a year of enrollment and accessed a variety of services, including outpatient care, prescription drugs, and dental and vision care. ELE enrollees were somewhat less likely to use each service type, and those who used services often did so less intensively compared to other enrollees in their state.

CONCLUSIONS

Health care use patterns suggest that ELE enrollees are aware of their coverage; enrollees accessed and repeatedly used services covered by public health insurance. However, states considering this policy may expect that remaining eligible but uninsured children may be less expensive to cover than existing beneficiaries.

Medicaid and CHIP retention among children in 12 states

OBJECTIVE

Though stable insurance is important to support optimal child health, the reproducibility of metrics to assess child health insurance retention at the state and county level has not been examined. We sought to determine reproducibility of public insurance retention rates for children using 3 different metrics at the state and county level.

METHODS

Public health insurance retention for children was assessed using 3 different metrics calculated from 2006-2009 Medicaid Analytic Extract data from 12 selected states. The metrics were: 1) Duration: a prospective metric that quantifies the number of newly enrolled children continuously enrolled in public insurance 6, 12, and 18 months after initial enrollment during a selected period; (2) Infant Duration: assesses Duration only among infants born during a selected period; (3) Coverage: a prospective metric that quantifies the average percentage of time a selected population is enrolled over an 18-month interval. Reproducibility of the metrics was assessed using a range of sample sizes with resampling and determining changes in relative rankings of states/counties by retention rate.

RESULTS

All 3 metrics demonstrated reproducible estimates at the state level with sample sizes of 2000, 5000, and 10,000. Reproducibility of relative rankings for child health insurance retention of counties within states were sensitive to county child population size and the amount of variability in retention rates within the county and at the state level.

CONCLUSIONS

As health care reform unfolds, the complete set of these 3 reproducible metrics can be used to evaluate multipronged and multilevel strategies to retain eligible children in public health insurance.

Program Churning and Transfers Between Medicaid and CHIP

OBJECTIVE

In the 10 states that are the focus of the Children's Health Insurance Program Reauthorization Act of 2009 evaluation, we analyze in detail the states' recent progress in retaining children in public coverage and public coverage churning.

METHODS

We used administrative data spanning a five-and-a-half-year period collected from 10 study states-Alabama, California, Florida, Louisiana, Michigan, New York, Ohio, Texas, Utah, and Virginia-to analyze the extent to which children return to the same program a short time after disenrollment and the extent to which transfers between Medicaid and Children's Health Insurance Program (CHIP) lead to public coverage gaps.

RESULTS

Our analysis yielded 3 key findings. First, many children moved between Medicaid and CHIP; while most transitioned seamlessly, coverage gaps occurred for as many as 40%, depending on the type of transition. Second, churning continued to be a concern for public coverage programs, with approximately 21% of Medicaid disenrollees and 10% of separate CHIP disenrollees returning to the same program within 7 months. Third, we found sizable differences in rates of program churning and nonseamless program transfers across the 10 study states.

CONCLUSIONS

Notable variation existed across programs and states, which persisted over the period in public program churning. These results suggest the need for continued efforts to simplify renewal processes, particularly in state Medicaid programs, along with the adoption of processes that improve coordination across programs and policies that simplify these transfers.

The effect of Medicaid on health care consumption of young adults

All states provide Medicaid until the age of 19 years. After 19 years, young adults may become ineligible for Medicaid. Using the Medical Expenditure Panel Survey, we find that the resulting loss of Medicaid coverage causes substantial changes to the level and composition of health care use. The total number of visits to health care providers falls by over 60%, two-thirds of which is due to a decline in office visits. Expenditures, in particular inpatient expenditures, also appear to fall sharply.

Continuity of Public Insurance Coverage

Publicly financed insurance programs are tasked with maintaining coverage for eligible children, but published measures to assess coverage have not been evaluated. Therefore, we sought to identify and categorize measures of health insurance continuity for children and adolescents. We conducted a systematic review of Medline and HealthStar databases, review of reference lists of eligible articles, and contact with experts. We categorized measures into 8 domains based on a conceptual framework. We identified 147 measures from 84 eligible articles. Most measures evaluated the following domains: always insured (41%), repeatedly uninsured (36%), and transition out of coverage (29%), while fewer assessed single gap in coverage, always uninsured, transition into coverage, change in coverage, and eligibility. Only 18% of measures assessed associations between continuity of coverage and child and adolescent health outcomes. These results suggest that a number of measures of continuity of coverage exist, but few measures have assessed impact on outcomes.

A longitudinal view of child enrollment in Medicaid

BACKGROUND

Although national cross-sectional estimates of the percentage of children enrolled in Medicaid are available, the percentage of children enrolled in Medicaid over longer periods of time is unknown. Also, the percentage and characteristics of children who rely on Medicaid throughout childhood, rather than transiently, are unknown.

METHODS

We performed a longitudinal examination of Medicaid coverage among children across a 5-year period. Children 0 to 13 years of age in the 2004 National Health Interview Survey file were linked to Medicaid Analytic eXtract files from 2004 to 2008. The percentage of children enrolled in Medicaid at any time during the 5-year observation period and the number of years during which children were enrolled in Medicaid were calculated. Duration of Medicaid enrollment was compared across sociodemographic characteristics by using χ(2) tests.

RESULTS

Forty-one percent of all US children were enrolled in Medicaid at least some time during the 5-year period, compared with a single-year estimate of 32.8% in 2004 alone. Of enrolled children, 51.5% were enrolled during all 5 years. Children with lower parental education, with lower household income, of minority race or ethnicity, and in suboptimal health were more likely to be enrolled in Medicaid during all 5 years.

CONCLUSIONS

Longitudinal data reveal higher percentages of children with Medicaid insurance than shown by cross-sectional data. Half of children enrolled in Medicaid are enrolled during at least 5 consecutive years, and these children have higher risk sociodemographic profiles.

Racial/ethnic disparities in chronic diseases of youths and access to health care in the United States

Racial/ethnic minorities are 1.5 to 2.0 times more likely than whites to have most of the major chronic diseases. Chronic diseases are also more common in the poor than the nonpoor and this association is frequently mediated by race/ethnicity. Specifically, children are disproportionately affected by racial/ethnic health disparities. Between 1960 and 2005 the percentage of children with a chronic disease in the United States almost quadrupled with racial/ethnic minority youth having higher likelihood for these diseases. The most common major chronic diseases of youth in the United States are asthma, diabetes mellitus, obesity, hypertension, dental disease, attention-deficit/hyperactivity disorder, mental illness, cancers, sickle-cell anemia, cystic fibrosis, and a variety of genetic and other birth defects. This review will focus on the psychosocial rather than biological factors that play important roles in the etiology and subsequent solutions to these health disparities because they should be avoidable and they are inherently unjust. Finally, this review examines access to health services by focusing on health insurance and dental insurance coverage and access to school health services.

Does health insurance continuity among low-income adults impact their children's insurance coverage?

Parent's insurance coverage is associated with children's insurance status, but little is known about whether a parent's coverage continuity affects a child's coverage. This study assesses the association between an adult's insurance continuity and the coverage status of their children. We used data from a subgroup of participants in the Oregon Health Care Survey, a three-wave, 30-month prospective cohort study (n = 559). We examined the relationship between the length of time an adult had health insurance coverage and whether or not all children in the same household were insured at the end of the study. We used a series of univariate and multivariate logistic regression models to identify significant associations and the rho correlation coefficient to assess collinearity. A dose response relationship was observed between continuity of adult coverage and the odds that all children in the household were insured. Among adults with continuous coverage, 91.4% reported that all children were insured at the end of the study period, compared to 83.7% of adults insured for 19-27 months, 74.3% of adults insured for 10-18 months, and 70.8% of adults insured for fewer than 9 months. This stepwise pattern persisted in logistic regression models: adults with the fewest months of coverage, as compared to those continuously insured, reported the highest odds of having uninsured children (adjusted odds ratio 7.26, 95% confidence interval 2.75, 19.17). Parental health insurance continuity is integral to maintaining children's insurance coverage. Policies to promote continuous coverage for adults will indirectly benefit children.

Implementation of Massachusetts health insurance reform with vulnerable populations in a safety-net setting

This qualitative study examines the experience of racial and ethnic minorities receiving behavioral health care in a safety net setting during the early process of health insurance reform in Massachusetts. Three rounds of interviews were conducted between August 2007 and May 2009, collecting information from patients (n=65) on the experience of health reform and delivery of mental health care. Four categories of enrollees transitioning into health reform emerged over the course of the study that grouped into a typology of experiences with reform: early enrollees, middle enrollees, late enrollees, and multiple switchers. With support, a majority of the sample transitioned smoothly to the new health insurance mechanisms. However, some experienced administrative confusion and disruption in mental health care during the transition. Administrative policies providing special accommodations for individuals with mental health disorders and other vulnerable populations may be important to consider during the transition to health insurance reform.

Which states enroll their Medicaid-eligible, citizen children with immigrant parents?

OBJECTIVE

To identify which states achieve comparable enrollment rates for Medicaid-eligible, citizen children with immigrant and nonimmigrant parents.

DATA SOURCE

A total of 810,345 Medicaid-eligible, citizen children drawn from the 2008-2010 American Community Survey.

STUDY DESIGN

This study estimates a state fixed-effects probit model of uninsured status for Medicaid-eligible, citizen children. State and immigrant family interaction variables test whether citizen children in immigrant families have a higher probability of remaining uninsured compared to children in nonimmigrant families. Simulations predict the uninsured rates for Medicaid eligible children in immigrant and nonimmigrant families and rank states by the differences between the two groups.

PRINCIPAL FINDINGS

While some states have insignificant and near zero differences in predicted uninsured rates, many states have enrollment disparities reaching 20 percent points between citizen children with immigrant and nonimmigrant parents.

CONCLUSIONS

Many states have large differences in enrollment rates between their Medicaid-eligible, citizen children with immigrant and nonimmigrant parents. Addressing these enrollment disparities could improve the health status of citizen children in immigrant families and earn Children's Health Insurance Program Reauthorization Act bonus payments for many states.

Are pediatric quality care measures too stringent?

INTRODUCTION

We aimed to demonstrate the application of national pediatric quality measures, derived from claims-based data, for use with electronic medical record data, and determine the extent to which rates differ if specifications were modified to allow for flexibility in measuring receipt of care.

METHODS

We reviewed electronic medical record data for all patients up to 15 years of age with ≥1 office visit to a safety net family medicine clinic in 2010 (n = 1544). We assessed rates of appropriate well-child visits, immunizations, and body mass index (BMI) documentation, defined strictly by national guidelines versus by guidelines with clinically relevant modifications.

RESULTS

Among children aged <3 years, 52.4% attended ≥6 well-child visits by the age of 15 months; 60.8% had ≥6 visits by age 2 years. Less than 10% completed 10 vaccination series before their second birthday; with modifications, 36% were up to date. Among children aged 3 to 15 years, 63% had a BMI percentile recorded; 91% had BMI recorded within 36 months of the measurement year.

CONCLUSIONS

Applying relevant modifications to national quality measure definitions captured a substantial number of additional services. Strict adherence to measure definitions might miss the true quality of care provided, especially among populations that may have sporadic patterns of care utilization.

Generational status, health insurance, and public benefit participation among low-income Latino children

The objectives of this study were to (1) measure health insurance coverage and continuity across generational subgroups of Latino children, and (2) determine if participation in public benefit programs is associated with increased health insurance coverage and continuity. We analyzed data on 25,388 children income-eligible for public insurance from the 2003 to 2004 National Survey of Children's Health and stratified Latinos by generational status. First- and second-generation Latino children were more likely to be uninsured (58 and 19%, respectively) than third-generation children (9.5%). Second-generation Latino children were similarly likely to be currently insured by public insurance as third-generation children (61 and 62%, respectively), but less likely to have private insurance (19 and 29%, respectively). Second-generation Latino children were slightly more likely than third-generation children to have discontinuous insurance during the year (19 and 15%, respectively). Compared with children in families where English was the primary home language, children in families where English was not the primary home language had higher odds of being uninsured versus having continuous insurance coverage (OR: 2.19; 95% CI [1.33-3.62]). Among second-generation Latino children, participation in the Food Stamp (OR 0.26; 95% CI [0.14-0.48]) or Women, Infants, and Children (OR 0.40; 95% CI [0.25-0.66]) programs was associated with reduced odds of being uninsured. Insurance disparities are concentrated among first- and second-generation Latino children. For second-generation Latino children, connection to other public benefit programs may promote enrollment in public insurance.

The impact of parental job loss on children's health insurance coverage

Children with private health insurance are more than six and a half times as likely to lose coverage in the three months after one or both of their parents loses a job, compared to children whose parents remain employed. In the current economic environment, this finding is especially troubling. We estimate that for every 1,000 jobs lost, 311 privately insured children lose coverage and more than 45 percent of the poorest and most vulnerable of privately insured children became uninsured. Much more effort is needed to quickly enroll children in public health insurance programs when their parents suffer a job loss.

Population-level effects of uninterrupted health insurance on services use among HIV-positive unstably housed adults

Health services research consistently confirms the benefit of insurance coverage on the use of health services sought in the USA. However, few studies have simultaneously addressed the multitude of competing and unmet needs specifically among unstably housed persons. Moreover, few have accounted for the fact that hospitalization may lead to obtaining insurance coverage, rather than the other way around. This study used marginal structural models to determine the longitudinal impact of insurance coverage on the use of health services and antiretroviral therapy (ART) among HIV-positive unstably housed adults. The impact of insurance status on the use of health services and ART was adjusted for a broad range of confounders specific to this population. Among 330 HIV-positive study participants, both intermittent and continuous insurance coverage during the prior 3-12 months had strong and positive effects on the use of ambulatory care and ART, with stronger associations for continuous insurance coverage. Longer durations of continuous coverage were less robust in affecting emergency and inpatient care. Race and ethnicity had no significant influence on health services use in this low-income population when confounding due to competing needs was considered in adjusted analyses. Given that ambulatory care and ART are factors with substantial potential impact on the course of HIV disease, these data suggest that securing uninterrupted insurance coverage would result in large reductions in morbidity and mortality. Health care policy efforts aimed at increasing consistent insurance coverage in vulnerable populations are warranted.

Comparing types of health insurance for children: a public option versus a private option

BACKGROUND

Many states have expanded public health insurance programs for children, and further expansions were proposed in recent national reform initiatives; yet the expansion of public insurance plans and the inclusion of a public option in state insurance exchange programs sparked controversies and raised new questions with regard to the quality and adequacy of various insurance types.

OBJECTIVES

We aimed to examine the comparative effectiveness of public versus private coverage on parental-reported children's access to health care in low-income and middle-income families. METHODS/PARTICIPANTS/MEASURES: We conducted secondary data analyses of the nationally representative Medical Expenditure Panel Survey, pooling years 2002 to 2006. We assessed univariate and multivariate associations between child's full-year insurance type and parental-reported unmet health care and preventive counseling needs among children in low-income (n=28,338) and middle-income families (n=13,160).

RESULTS

Among children in families earning <200% of the federal poverty level, those with public insurance were significantly less likely to have no usual source of care compared with privately insured children (adjusted relative risk, 0.79; 95% confidence interval, 0.63-0.99). This was the only significant difference in 50 logistic regression models comparing unmet health care and preventive counseling needs among low-income and middle-income children with public versus private coverage.

CONCLUSIONS

The striking similarities in reported rates of unmet needs among children with public versus private coverage in both low-income and middle-income groups suggest that a public children's insurance option may be equivalent to a private option in guaranteeing access to necessary health care services for all children.

Reporting on continuity of coverage for children in Medicaid and CHIP: what states can learn from monitoring continuity and duration of coverage

OBJECTIVE

The Children's Health Insurance Program Reauthorization Act (CHIPRA) requires states to measure and report on coverage stability in Medicaid and the Children's Health Insurance Program (CHIP). States generally have not done this in the past. This study proposes strategies for both measuring stability and targeting policies to improve retention of Medicaid coverage, using Ohio as an example.

METHODS

A cohort of newly enrolled children was constructed for the 1-year time period between July 2007 and June 2008 and followed for 18 months. Hazard ratios were estimated after 18 months to predict the likelihood of maintaining continuous enrollment in Medicaid, adjusting for income eligibility group, age, race, gender, county type, and change in unemployment. Children dropping from the program at the renewal period (12-16 months) were followed for 12 months to determine their rate of return.

RESULTS

Approximately 26% of children aged <1 year and 35% of children aged 1 to 16 years dropped from Medicaid by 18 months, with the steepest drop occurring after 12 months, the point of renewal. Likelihood of dropping was associated with the higher income eligibility groups, older children, and Hispanic ethnicity. Approximately 40% of children who were dropped at renewal re-enrolled within 12 months. Children in the lowest income group returned sooner and in higher proportions than other children.

CONCLUSIONS

A substantial number of children lose Medicaid coverage only to re-enroll within a short time. Income eligibility group appears to be a strong indicator of stability. Effective monitoring of coverage stability is important for developing policies to increase retention of eligible children.

Insurance coverage gaps among US children with insured parents: are middle income children more likely to have longer gaps?

Millions of US children have unstable health insurance coverage. Some of these uninsured children have parents with stable coverage. We examined whether household income was associated with longer coverage gaps among US children with at least one insured parent. A secondary data analysis of the nationally-representative 2004 Medical Expenditure Panel Survey, this study uses logistic regression models to examine the association between income and children's insurance gaps. We focused on children with at least one parent insured all year (n = 6,151; estimated weighted N = 53.5 million). In multivariate models, children from families earning between 125 and 400% of the federal poverty level (FPL) had twice the odds of experiencing coverage gaps >6 months, as compared to those from high income families. Children in the poorest income groups (<125% FPL) did not have significantly greater odds of a gap >6 months. However, the odds of a gap ≤6 months were significantly greater for all income groups below 400% FPL, when compared to the highest income group. Among children with continuously insured parents, those from lower middle income families were most vulnerable to experiencing coverage gaps >6 months, as compared to those from the lowest and highest income families. These findings are likely due to middle class earnings being too high to qualify for public insurance but not high enough to afford private coverage. This study highlights the need for new US health care financing models that give everyone in the family the best chance to obtain stable coverage. It also provides valuable information to other countries with employer-sponsored insurance models or those considering privatization of insurance payment systems and how this might disproportionately impact the middle class.

Monitoring duration of coverage in Medicaid and CHIP to assess program performance and quality

OBJECTIVE

To assess measures of Medicaid and Children's Health Insurance Program (CHIP) coverage duration for potential inclusion in a core set of children's health care quality measures as called for by the Children's Health Insurance Program Reauthorization Act (CHIPRA) of 2009.

METHODS

We reviewed published and unpublished reports and spoke to researchers, analysts, and program officials at the federal level and in selected states. Measures available in administrative data were assessed with regard to the feasibility of implementation and their validity in terms of their association with child health outcomes and state policy choices.

RESULTS

Although many measures are feasible to construct using existing administrative data, prospective measures of duration that examine a cohort of new enrollees were found to be the most valid measures based on research linking their outcomes to program policies and their consistent interpretation across states with similar enrollment and renewal structures. However, the inability of some states to link together data from their Medicaid and CHIP enrollment files affects the interpretation of these and other measures across states.

CONCLUSIONS

Prospective and retrospective measures of duration were recommended for inclusion in the core set of quality measures. Although the prospective and retrospective measures were ranked high in terms of validity and importance by the Subcommittee on Quality Measures for Children's Health Care in Medicaid and CHIP, concerns were raised about feasibility given that no state currently uses these measures to monitor program performance. Additional technical and financial resources and enhancements to administrative data systems will be needed to support state efforts in this area of quality assessment, particularly in the areas of linking Medicaid and CHIP data files, improving reason for dis-enrollment codes, and improving race and ethnicity coding. Monitoring how well states are doing at enrolling and retaining children in Medicaid and CHIP is a critical component to assessing overall program performance and quality and for interpreting many of the other proposed quality measures.

Measuring and reporting quality of health care for children: CHIPRA and beyond

BACKGROUND AND PURPOSE

The coming years could be a watershed period for children and health care as the nation implements the most significant federal health care legislation in 50 years: the Accountable Care Act (ACA). A year earlier, the American Recovery and Reinvestment Act (ARRA) set up a framework and road map for the eventual universal adoption of health information technology in its Health Information Technology for Economic and Clinical Health (HITECH) provisions, and the Children's Health Insurance Program Reauthorization Act (CHIPRA) legislation articulated a new and compelling vision for quality measurement in child health services. Each of these landmark advances in federal health policy contains relevant provisions for the measurement and improvement of the performance of the health system. Less clear is the extent to which the child specific framework articulated in CHIPRA will be preserved and built upon. Here, we set forth recommendations for ensuring that measurement and reporting efforts under CHIPRA, ARRA, and ACA are aligned for children.

POLICY THEMES AND RECOMMENDATIONS

Our findings around problems and recommendations are grouped into 2 broad areas: those that deal with helping states report and use current measures, and those that deal with expanding the current measures. Recommendations include 5 aimed at focusing efforts on measure reporting and use: 1) help states build a measurement infrastructure; 2) provide specific technical assistance and support to states on how to collect, report, and use measures; 3) establish a national office for quality monitoring; 4) make available nationally data from states; and 5) ensure specific focus on child health in HITECH initiatives. Recommendations also include 3 aimed at extending what is being measured: 1) continue emphasis on insurance stability; 2) ensure that disparities can be measured and monitored; and 3) build measures that focus on system accountability and outcomes.

CONCLUSIONS

National health care reform provides the opportunity to extend coverage and dramatically restructure systems of care. It will be important to ensure that focus on health care quality for children be maintained and that the advances made under CHIPRA reinforce and are not diluted or overtaken by broader reform efforts.

Public health insurance in Oregon: underenrollment of eligible children and parental confusion about children's enrollment status

OBJECTIVES

We identified characteristics of Oregon children who were eligible for the Oregon Health Plan (OHP), the state's combined Medicaid-Children's Health Insurance Program (CHIP), but were not enrolled in January 2005. We also assessed whether parents' confusion regarding their children's status affected nonenrollment.

METHODS

We conducted cross-sectional analyses of linked statewide Food Stamp Program and OHP administrative databases (n = 10 175) and primary data from a statewide survey (n = 2681).

RESULTS

More than 20% of parents with children not administratively enrolled in OHP reported that their children were enrolled. Parents of 11.3% of children who were administratively enrolled reported that they were not. Eligible but unenrolled children had higher odds of being older, having higher family incomes, and having employed and uninsured parents.

CONCLUSIONS

These findings reveal an important discrepancy between administrative data and parent-reported access to public health insurance. This discrepancy may stem from transient coverage or confusion among parents and may result in underutilization of health insurance for eligible children.

Assessment of Children's Public Health Insurance Program enrollment applications: a health literacy perspective

INTRODUCTION

More than half of uninsured children in the United States qualify for Medicaid or the Children's Health Insurance Program (CHIP). Application readability and other complex features may be barriers to enrollment for some of these families. The purpose of this study was to conduct a literary assessment of state-issued English- and Spanish-language Medicaid/CHIP Internet-based enrollment applications, including an evaluation of reading demands, layout characteristics, and document complexity.

METHOD

In May 2010, we downloaded all currently available English-language (n = 50) and Spanish-language (n = 39) Internet-based, state-issued Medicaid/CHIP enrollment applications. We estimated the reading demands of each CHIP enrollment application "Signature" page using the Lexile Analyzer. We assessed layout characteristics using the User-Friendliness Tool and we evaluated document complexity using the PMOSE/IKIRSCH scale.

RESULTS

On average, Medicaid/CHIP enrollment application "Signature" pages were written at a high school reading level (English language = 12th- to 13th-grade reading level; Spanish language = 10th- to 11th-grade reading level). Five Medicaid/CHIP enrollment applications (5.6%) consistently used a 12-point or larger font size throughout. Most Medicaid/CHIP enrollment applications (n = 83; 93.3%) needed "some" or "much" improvement in the amount of white space. Document complexity ranged from level 3 (moderate) to level 5 (very high), with the majority of Medicaid/CHIP enrollment applications ranked at level 4 (high).

DISCUSSION

Revisions are required in almost all state Medicaid/CHIP enrollment applications to achieve consistency and to meet standard low-literacy guidelines (e.g., written at a 6th grade or lower reading level and using a font of 12 points or larger). Additionally, to increase access to Medicaid/CHIP for eligible Hispanic children, all states should provide an online Spanish-language version of the Medicaid/CHIP enrollment application.

Implementing health reform at the state level: access and care for vulnerable populations

The Affordable Care Act1 (ACA) promises to improve access to coverage and care for two vulnerable groups: low-income persons who are excluded by a lack of resources and chronically ill and disabled people who are excluded by the dysfunction of our existing insurance and care delivery systems. ACA’s sprawling provisions raise a wealth of implementation challenges that are exacerbated by the compromises required to move reform through Congress. In particular, the compromise between regulatory/public program advocates and advocates for private, market-driven programs requires thoughtful regulatory coordination between public and private health systems.

Recent trends in State Children's Health Insurance Program eligibility and coverage for CSHCN

OBJECTIVE

Policy makers and physicians need to understand recent trends in State Children's Health Insurance Program (SCHIP) eligibility and coverage given the ongoing debate on SCHIP. Although many studies have examined these issues, few have focused on children with special health care needs (CSHCN). With this study we aimed to fill this gap in the literature.

METHODS

Data on state-specific SCHIP eligibility criteria were merged with the National Survey of Children With Special Health Care Needs to determine SCHIP eligibility and coverage in 2001 and 2005. In addition to descriptive analysis, a multilevel analysis was performed to identify personal and state-level factors that significantly affected uninsurance among the SCHIP-eligible CSHCN.

RESULTS

Our analyses showed that there was a slight increase in SCHIP eligibility for CSHCN between 2001 and 2005 (8.44% vs 9.83%; P < .05, chi(2) test). Among the SCHIP-eligible CSHCN, we found a substantial decrease in the uninsurance rate from 21.15% in 2001 to 10.87% in 2005 (P < .05, chi(2) test). After controlling for covariates, our analyses indicated that CSHCN in 2005 were 57% less likely to be uninsured than those in 2001. Our multilevel analysis also identified state policies that significantly affected uninsurance among the SCHIP-eligible CSHCN, including asset tests (positive effects) and presumptive eligibility (negative effects).

CONCLUSION

Our results show a dramatic decrease in the uninsurance rate among SCHIP-eligible CSHCN between 2001 and 2005.

SCHIP's impact on dependent coverage in the small-group health insurance market

OBJECTIVE

To estimate the impact of State Children's Health Insurance Program (SCHIP) expansions on public and private coverage of dependents at small firms compared with large firms.

DATA SOURCES

1996-2007 Annual Demographic Survey of the Current Population Survey (CPS).

STUDY DESIGN

This study estimates a two-stage least squares (2SLS) model for four insurance outcomes that instruments for SCHIP and Medicaid eligibility. Separate models are estimated for small group markets (firms with fewer than 25 employees), small businesses (firms under 500 employees), and large firms (firms 500 employees and above).

DATA COLLECTION/EXTRACTION METHODS

We extracted data from the 1996-2007 CPS for children in households with at least one worker.

PRINCIPAL FINDINGS

The SCHIP expansions decreased the percentage of uninsured dependents in the small group market by 7.6 percentage points with negligible crowd-out in the small group and no significant effect on private coverage across the 11-year-period.

CONCLUSIONS

The SCHIP expansions have increased coverage for households in the small group market with no significant crowd-out of private coverage. In contrast, the estimates for large firms are consistent with the substantial crowd-out observed in the literature.

SCHIP directors' perception of schools assisting students in obtaining public health insurance

BACKGROUND

Health insurance coverage increases access to health care. There has been an erosion of employer-based health insurance and a concomitant rise in children covered by public health insurance programs, yet more than 8 million children are still without health insurance coverage.

METHODS

This study was a national survey to assess the perceptions of State Child Health Insurance Program (SCHIP) directors (N = 51) regarding schools assisting students in obtaining public health insurance. This study examined the perceived benefits of and barriers to working with school systems and the perceived benefits to schools in assisting students to enroll in SCHIPs and what SCHIP activities were actually being conducted with school systems.

RESULTS

The majority (78%) of SCHIPs had been working with school systems for more than a year. Perceived benefits of working with schools were greater access to SCHIP-eligible children (75%), assistance with meeting mandates to cover all SCHIP-eligible children (65%), and greater ability of state agencies to identify SCHIP-eligible children (58%). A majority of the directors did not identify any of the potential barrier items. The directors cited the following benefits to schools in helping enroll students in public health insurance programs: reduces the number of students with untreated health problems (80%), reduces student absenteeism rates (68%), improves student attention and concentration during school (58%), and reduces the number of students being held back in school because of health problems (53%).

DISCUSSION

The perceived benefits derived from schools assisting in enrolling eligible students into SCHIPs are congruent with the mission of schools. Schools need to become proactive in helping to establish a healthy student body, which is more likely to be an academically successful body.

Usual source of care and unmet need among vulnerable children: 1998-2006

OBJECTIVE

The purpose of this work was to identify the proportions of publicly (Medicaid and State Child Health Insurance Program) insured and uninsured children who did not identify a usual source of care from 1998 to 2006, spanning the State Children's Health Insurance Program (1997 to present) and the President's Health Center Initiative (2002 to present), and to characterize unmet medical need as it relates to insurance and a usual source of care for publicly insured and uninsured children.

METHODS

We conducted a secondary data analysis of multiple years of the National Health Interview Survey. We identified the proportion of publicly insured and uninsured children aged 0 to 17 years who did not identify a usual source of care and stratified according to the site of care. We described the odds of reporting an unmet medical need according to insurance status and usual source of care, compared with privately insured children with a usual source of care. Sample weights were used to derive national estimates.

RESULTS

From 1998 through 2006, there were significant increases in the proportions of children enrolled in Medicaid (16.7%-24.5%) and the State Child Health Insurance Program (2.0%-5.3%). The proportion of uninsured children has remained stable from 2002 to 2006 at approximately 10%. However, the proportion of uninsured reporting no usual source of care increased from 17.8% to 23.3%. Hispanic children had significant increases in the proportions of the uninsured and reporting no usual source of care by 2006. Hispanics constituted the largest proportion in both groups. Uninsured children and children without a usual source of care reported the highest odds of unmet need. Among the insured, publicly insured children had twice the odds of reporting an unmet need compared with privately insured children.

CONCLUSIONS

During the State Child Health Insurance Program and the President's Health Center Initiative, growing proportions of uninsured children reported no usual source of care. Unmet medical need was the highest for the uninsured and those without a usual source of care. These findings suggest that initiatives designed to improve access to care must combine broadened insurance coverage with enhanced access to usual sources of care.

Obtaining health care services for low-income children: a hierarchy of needs

INTRODUCTION

Basic health care is beyond the reach of many families, partly due to lack of health insurance. Many of those with insurance also experience unmet need and limited access. In this study, low-income parents illuminate barriers to obtaining health care services for their children.

METHODS

We surveyed a random sample of families from Oregon's food stamp population with children eligible for public insurance, based on household income. Mixed-methods included: (1) multivariable analysis of data from 2,681 completed surveys, and (2) qualitative study of written narratives from 722 parents.

RESULTS

Lack of health insurance was the most consistent predictor of unmet health care needs in the quantitative analysis. Qualitatively, health insurance instability, lack of access to services despite having insurance, and unaffordable costs were major concerns.

CONCLUSIONS

Parents in this low-income population view insurance coverage as different from access to services, and reported a hierarchy of needs. Insurance was the primary concern; access and costs were secondary.

Uninsured children and adolescents with insured parents

CONTEXT

Millions of US children and adolescents lack health insurance coverage. Efforts to expand their insurance often focus on extending public coverage to uninsured parents. Less is known about the uninsured whose parents already have coverage.

OBJECTIVE

To identify predictors of uninsurance among US children and adolescents with insured parents.

DESIGN AND SETTING

Cross-sectional and full-year analyses of pooled 2002-2005 data from the nationally representative Medical Expenditure Panel Survey (MEPS).

PARTICIPANTS

Children and adolescents younger than 19 years in 4 yearly MEPS files with positive full-year weights who had at least 1 parent residing in the same household. There were 39,588 in the unweighted cross-sectional analysis and 39,710 in the unweighted full-year analysis.

MAIN OUTCOME MEASURE

Prevalence of uninsurance among children and adolescents with at least 1 insured parent; predictors of uninsurance among children with at least 1 insured parent.

RESULTS

In the cross-sectional study population, 1380 of 39,588 children and adolescents were uninsured with at least 1 insured parent (weighted prevalence, 3.3%; 95% confidence interval [CI], 3.0%-3.6%). In multivariate analyses of children and adolescents with at least 1 insured parent, those uninsured were more likely Hispanic (odds ratio [OR], 1.58; 95% CI, 1.23-2.03) than white, non-Hispanic; low income (OR, 2.02; 95% CI, 1.42-2.88) and middle income (OR, 1.48; 95% CI, 1.09-2.03) than high income; from single-parent homes (OR, 1.99; 95% CI, 1.59-2.49) than from homes with 2 married parents; and living with parents who had less than a high school education (OR, 1.44; 95% CI, 1.10-1.89) than those with at least 1 parent who had completed high school. Those whose parents had public coverage were less likely to be uninsured (OR, 0.64; 95% CI, 0.43-0.96) than were those whose parents reported private health insurance. These predictors remained significant in full-year analyses. Similar patterns of vulnerability were also found among a subset of uninsured children with privately covered parents.

CONCLUSIONS

Among all US children, more than 3% were uninsured with at least 1 insured parent. Predictors of such uninsurance included having low and middle income. Having a parent covered by only public insurance was associated with better children's coverage rates.

"Mind the Gap" in children's health insurance coverage: does the length of a child's coverage gap matter?

OBJECTIVE

Gaps in health insurance coverage compromise access to health care services, but it is unclear whether the length of time without coverage is an important factor. This article examines how coverage gaps of different lengths affect access to health care among low-income children.

METHODS

We conducted a multivariable, cross-sectional analysis of statewide primary data from families in Oregon's food stamp population with children presumed eligible for publicly funded health insurance. The key independent variable was length of a child's insurance coverage gap; outcome variables were 6 measures of health care access.

RESULTS

More than 25% of children reported a coverage gap during the 12-month study period. Children most likely to have a gap were older, Hispanic, lived in households earning between 133% and 185% of the federal poverty level, and/or had an employed parent. After adjusting for these characteristics, in comparison with continuously insured children, a child with a gap of any length had a higher likelihood of unmet medical, prescription, and dental needs; no usual source of care; no doctor visits in the past year; and delayed urgent care. When comparing coverage gaps, children without coverage for longer than 6 months had a higher likelihood of unmet needs compared with children with a gap shorter than 6 months. In some cases, children with gaps longer than 6 months were similar to, or worse off than, children who had never been insured.

CONCLUSIONS

State policies should be designed to minimize gaps in public health insurance coverage in order to ensure children's continuous access to necessary services.

Uninsured but eligible children: are their parents insured? Recent findings from Oregon

BACKGROUND

Despite expansions in public health insurance programs, millions of US children lack coverage. Nearly two-thirds of Oregon's uninsured children seem to be eligible for public insurance.

OBJECTIVES

We sought to identify uninsured but eligible children and to examine how parental coverage affects children's insurance status.

METHODS

We collected primary data from families enrolled in Oregon's food stamp program, which has similar eligibility requirements to public health insurance in Oregon. In this cross-sectional, multivariable analysis, results from 2861 surveys were weighted back to a population of 84,087 with nonresponse adjustment. Key predictor variables were parental insurance status and type of insurance; the outcome variable was children's insurance status.

RESULTS

Nearly 11% of children, presumed eligible for public insurance, were uninsured. Uninsurance among children was associated with being Hispanic, having an employed parent, and higher household earnings (133-185% of the federal poverty level). Children with an uninsured parent were more likely to be uninsured, compared with those who had insured parents (adjusted odds ratio 14.21, 95% confidence interval 9.23-20.34). More surprisingly, there was a higher rate of uninsured children among privately-insured parents, compared with parents covered by public insurance (adjusted odds ratio 4.39, 95% confidence interval 2.00-9.66).

CONCLUSIONS

Low-income Oregon parents at the higher end of the public insurance income threshold and those with private insurance were having the most difficulty keeping their children insured. These findings suggest that when parents succeed in pulling themselves out of poverty and gaining employment with private health insurance coverage, children may be getting left behind.

Discontinuity of coverage for Medicaid and S-CHIP children at a transitional birthday

RESEARCH OBJECTIVE

To investigate disenrollment from public insurance at the 6-year transitional birthday when eligibility for many children moves from Medicaid to State Children's Health Insurance Program (S-CHIP).

DATA SOURCES

Data from Georgia's S-CHIP (PeachCare) and Medicaid programs from 2000 to 2002.

STUDY DESIGN

The likelihood of dropping public coverage after the reference birthday is modeled for children turning age 6 compared with a control cohort of children turning age 9 controlling for demographic and geographic differences between enrollees.

PRINCIPAL FINDINGS

Over 17 percent of 6-year-olds versus only 7 percent of the control cohort dropped coverage. After controlling for other factors (e.g., race/ethnicity, prior enrollment, and geographic region) having lower historical expenditures is predictive of dropping coverage among all children, although the unadjusted effect is stronger among children enrolled in PeachCare before their sixth birthday. Only 1 percent of Medicaid children who remained covered transitioned to PeachCare.

CONCLUSIONS

Turnover at transitional birthdays identifies a common pathway for children into the ranks of the uninsured. Facilitating continuous enrollment would retain in the programs children with lower than average expenditures. This may be one of the more cost effective ways of reducing the number of uninsured children in Georgia.