Insurance gaps among vulnerable children in the United States, 1999-2001

Considerations When Aggregating Data to Measure Performance Across Levels of the Health Care System

BACKGROUND

Measuring quality at varying levels of the health care system requires attribution, a process of determining the patients and services for which each level is responsible. However, it is important to ensure that attribution approaches are equitable; otherwise, individuals may be assigned differentially based upon social determinants of health.

METHODS

First, we used Medicaid claims (2010-2018) from Michigan to assess the proportion of children with sickle cell anemia who had less than 12 months enrollment within a single Medicaid health plan and could therefore not be attributed to a specific health plan. Second, we used the Medicaid Analytic eXtract data (2008-2009) from 26 states to simulate adapting the 30-Day Pediatric All-Condition Readmission measure to the Accountable Care Organization (ACO) level and examined the proportion of readmissions that could not be attributed.

RESULTS

For the sickle cell measure, an average of 300 children with sickle cell anemia were enrolled in Michigan Medicaid each year. The proportion of children that could not be attributed to a Medicaid health plan ranged from 12.2% to 89.0% across years. For the readmissions measure, of the 1,051,365 index admissions, 22% were excluded in the ACO-level analysis because of being unable to attribute the patient to a health plan for the 30 days post discharge.

CONCLUSIONS

When applying attribution models, it is essential to consider the potential to induce health disparities. Differential attribution may have unintentional consequences that deepen health disparities, particularly when considering incentive programs for health plans to improve the quality of care.

The Impact of Medicaid Managed Care Plan Type on Continuous Medicaid Enrollment: A Natural Experiment

OBJECTIVE

To assess the impact of assignment to a Medicaid-focused versus mixed managed care plan on continuity of Medicaid coverage.

DATA SOURCES

2011-2016 Medicaid claims from a Northeastern state.

STUDY DESIGN

Following the exit of a Medicaid managed care insurer, Medicaid administrators prioritized provider networks in reassigning enrollees, but randomly assigned beneficiaries whose providers were equally represented in the two plans. We leveraged the natural experiment created by random plan assignment and conducted an instrumental variable analysis.

DATA COLLECTION

We analyzed Medicaid claims for 12,083 beneficiaries who were members of the exiting Blue Cross Blue Shield plan prior to January 1, 2011.

PRINCIPAL FINDINGS

Managed care plan type did not significantly impact continuous enrollment in the Medicaid program. Greater outpatient utilization and the presence of a special need among children were associated with longer enrollment in Medicaid.

CONCLUSIONS

Managed care plans did not differ in their capacity to keep Medicaid beneficiaries continuously enrolled in coverage, despite differences in plan features.

Housing Instability and Children's Health Insurance Gaps

OBJECTIVE

To assess the extent to which housing instability is associated with gaps in health insurance coverage of preschool-age children.

METHODS

Secondary analysis of data from the Early Childhood Longitudinal Study-Birth Cohort, a nationally representative study of children born in the United States in 2001, was conducted to investigate associations between unstable housing-homelessness, multiple moves, or living with others and not paying rent-and children's subsequent health insurance gaps. Logistic regression was used to adjust for potentially confounding factors.

RESULTS

Ten percent of children were unstably housed at age 2, and 11% had a gap in health insurance between ages 2 and 4. Unstably housed children were more likely to have gaps in insurance compared to stably housed children (16% vs 10%). Controlling for potentially confounding factors, the odds of a child insurance gap were significantly higher in unstably housed families than in stably housed families (adjusted odds ratio 1.27; 95% confidence interval 1.01-1.61). The association was similar in alternative model specifications.

CONCLUSIONS

In a US nationally representative birth cohort, children who were unstably housed at age 2 were at higher risk, compared to their stably housed counterparts, of experiencing health insurance gaps between ages 2 and 4 years. The findings from this study suggest that policy efforts to delink health insurance renewal processes from mailing addresses, and potentially routine screenings for housing instability as well as referrals to appropriate resources by pediatricians, would help unstably housed children maintain health insurance.

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]

The impact of health insurance reform on insurance instability

We investigated the impact of the 2006 Massachusetts health care reform on insurance coverage and stability among minority and underserved women. We examined 36 months of insurance claims among 1,946 women who had abnormal cancer screening at six community health centers pre-(2004-2005) and post-(2007-2008) insurance reform. We examined frequency of switches in insurance coverage as measures of longitudinal insurance instability. On the date of their abnormal cancer screening test, 36% of subjects were publicly insured and 31% were uninsured. Post-reform, the percent ever uninsured declined from 39% to 29% (p .001) and those consistently uninsured declined from 23% to 16%. To assess if insurance instability changed between the pre- and post-reform periods, we conducted Poisson regression models, adjusted for patient demographics and length of time in care. These revealed no significant differences from the pre- to post-reform period in annual rates of insurance switches, incident rate ratio 0.98 (95%- CI 0.88-1.09). Our analysis is limited by changes in the populations in the pre- and post-reform period and inability to capture care outside of the health system network. Insurance reform increased stability as measured by decreasing uninsured rates without increasing insurance switches.

Caregivers' health literacy and gaps in children's Medicaid enrollment: findings from the Carolina Oral Health Literacy Study

Background and Objectives

Recent evidence supports a link between caregivers’ health literacy and their children’s health and use of health services. Disruptions in children’s health insurance coverage have been linked to poor health care and outcomes. We examined young children’s Medicaid enrollment patterns in a well-characterized cohort of child/caregivers dyads and investigated the association of caregivers’ low health literacy with the incidence of enrollment gaps.

Methods

We relied upon Medicaid enrollment data for 1208 children (mean age = 19 months) enrolled in the Carolina Oral Health Literacy project during 2008–09. The median follow-up was 25 months. Health literacy was measured using the Newest Vital Sign (NVS). Analyses relied on descriptive, bivariate, and multivariate methods based on Poisson modeling.

Findings

One-third of children experienced one or more enrollment gaps; most were short in duration (median = 5 months). The risk of gaps was inversely associated with caregivers’ age, with a 2% relative risk decrease for each added year. Low health literacy was associated with a modestly elevated risk increase [Incidence Rate Ratio (IRR) = 1.17 (95% confidence interval (CI) 0.88–1.57)] for enrollment disruptions; however, this estimate was substantially elevated among caregivers with less than a high school education [IRR = 1.52 (95% CI 0.99–2.35); homogeneity p<0.2].

Conclusions

Our findings provide initial support for a possible role of caregivers’ health literacy as a determinant of children’s Medicaid enrollment gaps. Although the association between health literacy and enrollment gaps was not confirmed statistically, we found that it was markedly stronger among caregivers with low educational attainment. This population, as well as young caregivers, may be the most vulnerable to the negative effects of low health literacy.

Medicaid enrollment gap length and number of Medicaid enrollment periods among US children

OBJECTIVES

We examined gap length, characteristics associated with gap length, and number of enrollment periods among Medicaid-enrolled children in the United States.

METHODS

We linked the 2004 National Health Interview Survey to Medicaid Analytic eXtract files for 1999 through 2008. We examined linkage-eligible children aged 5 to 13 years in the 2004 National Health Interview Survey who disenrolled from Medicaid. We generated Kaplan-Meier curves of time to reenrollment. We used Cox proportional hazards models to assess the effect of sociodemographic variables on time to reenrollment. We compared the percentage of children enrolled 4 or more times across sociodemographic groups. RESULTS. Of children who disenrolled from Medicaid, 35.8%, 47.1%, 63.5%, 70.8%, and 79.1% of children had reenrolled in Medicaid by 6 months, 1, 3, 5, and 10 years, respectively. Children who were younger, poorer, or of minority race/ethnicity or had lower educated parents had shorter gaps in Medicaid and were more likely to have had 4 or more Medicaid enrollment periods.

CONCLUSIONS

Nearly half of US children who disenrolled from Medicaid reenrolled within 1 year. Children with traditionally high-risk demographic characteristics had shorter gaps in Medicaid enrollment and were more likely to have more periods of Medicaid enrollment.

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.

Gaps between Adolescent Risk Behaviors and Disclosure during Outpatient Visits

Objective. The purpose of this study was to determine the gaps between disclosed high-risk behaviors in low-income, mainly Hispanic youth and the identification of these risks by health care providers. Methods. This cross-sectional study included youth 13-19 years old who participated in a study on latent tuberculosis treatment. Youth were interviewed at baseline by bilingual research assistants; the provider visit was assessed by the chart review. Results. Of 221 youth, the majority (96%) were identified as Hispanic, 45% were foreign-born, and 46% were male. A total of 399 risk behaviors were revealed to research staff by the participants; only 24 risk behaviors were revealed to providers. Conclusions. The majority of risk behaviors based on the chart review were neither queried nor disclosed to the physicians. Physicians providing care to adolescents should consider strategies to improve disclosure as a necessary precursor to interventions.

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.

Covered today, sick tomorrow? Trends and correlates of children's health insurance instability

Many children with health insurance will experience gaps in coverage over time, potentially reducing their access to and use of preventive health care services. This article uses the Survey of Income and Program Participation to examine how the stability of children's health insurance changed between 1990 and 2005 and to identify dynamic aspects of family life associated with transitions in coverage. Children's health insurance instability has increased since the early 1990s, due to greater movement between insured and uninsured states and between private and public insurance coverage. Changes in the employment and marital status of the family head are highly associated with an increased risk of a child losing and gaining public and private coverage, largely in hypothesized directions. The exception is that marital dissolution and job loss are associated with an increased probability of a child losing public insurance, despite there being no clear policy explanation for such a relationship.

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.

Asthma and the achievement gap among urban minority youth

OBJECTIVES

To outline the prevalence and disparities of asthma among school-aged urban minority youth, causal pathways through which poorly controlled asthma adversely affects academic achievement, and proven or promising approaches for schools to address these problems.

METHODS

Literature review.

RESULTS

Asthma is the most common chronic disease affecting youth in the United States; almost 10 million youth under 18 (14%) have received a diagnosis and 6.8 million (9%) have active asthma. Average annual prevalence estimates were approximately 45% higher for Black versus White children (12.8% vs. 8.8%), as were average annual estimates of asthma attacks (8.4% vs. 5.8%). Urban minority youth have highly elevated prevalence of poorly controlled asthma as evidenced by overuse of emergency departments and under-use of efficacious medications. Poorly controlled asthma has functional consequences on cognition, connectedness with school, and absenteeism. Exemplary asthma programs include management and support systems, school health and mental health services, asthma education, healthy school environments, physical education and activity, and coordination of school, family, and community efforts.

CONCLUSIONS

Asthma and, more importantly, poorly controlled asthma are highly and disproportionately prevalent among school-aged urban minority youth, has a negative impact on academic achievement through its effects on cognition, school connectedness, and absenteeism, and effective practices are available for schools to address this problem. To reduce the adverse effects of poorly controlled asthma on learning, a multifaceted approach to asthma control and prevention in which schools can and must play a central role is essential.

Insurance-associated disparities in hospitalization outcomes of Michigan children

OBJECTIVE

To investigate whether children in Michigan with private insurance have better hospitalization-related outcomes than those with public or no insurance.

STUDY DESIGN

Population-based hospitalization rates were calculated for newborns and children aged <18 years in Michigan for the years 2001-2006 and stratified by age, disease grouping, and health insurance status using inpatient records from the Michigan Inpatient Database and population estimates from the US Census Current Population Survey.

RESULTS

Michigan children with public/no insurance had significantly higher overall hospital admission rates and admission rates for ambulatory-sensitive conditions, and were more likely to be admitted through the emergency room, compared with those with private health insurance. Similarly, newborns with public/no insurance had significantly higher rates of hospitalization-related outcomes. Hospital charges per child were higher in the public/no insurance population, translating to potential excess charges of between $309.8 and $401.8 million in 2006.

CONCLUSIONS

There are disparities in health outcomes and charges between Michigan children and newborns with public/no insurance and those with private health insurance, presenting a significant opportunity to improve the efficiency and efficacy of care.

Uncertain health insurance coverage and unmet children's health care needs

BACKGROUND AND OBJECTIVES

The State Children's Health Insurance Program (SCHIP) has improved insurance coverage rates. However, children's enrollment status in SCHIP frequently changes, which can leave families with uncertainty about their children's coverage status. We examined whether insurance uncertainty was associated with unmet health care needs.

METHODS

We compared self-reported survey data from 2,681 low-income Oregon families to state administrative data and identified children with uncertain coverage. We conducted cross-sectional multivariate analyses using a series of logistic regression models to test the association between uncertain coverage and unmet health care needs.

RESULTS

The health insurance status for 13.2% of children was uncertain. After adjustments, children in this uncertain "gray zone" had higher odds of reporting unmet medical (odds ratio [OR] =1.73; 95% confidence interval [CI]=1.07, 2.79), dental (OR=2.41; 95% CI=1.63, 3.56), prescription (OR=1.64, 95% CI=1.08, 2,48), and counseling needs (OR=3.52; 95% CI=1.56, 7.98), when compared with publicly insured children whose parents were certain about their enrollment status.

CONCLUSIONS

Uncertain children's insurance coverage was associated with higher rates of unmet health care needs. Clinicians and educators can play a role in keeping patients out of insurance gray zones by (1) developing practice interventions to assist families in confirming enrollment and maintaining coverage and (2) advocating for policy changes that minimize insurance enrollment and retention barriers.

Educaid: what if the US systems of education and health care were more alike?

What if access to an education in the United States required insurance, leaving millions of children without a school? Would public insurance for education--Educaid look like public insurance for medical care--Medicaid? This essay describes a fictional education system analogous to our current health care system as a means to highlight some of US health care's failings. It incorporates real comments from parents whom we have interviewed about their experiences gaining access to health care services for their children. My purpose is to challenge each reader to consider the future for both the US education and health care systems, the urgent need for reform, and how major reforms might affect our children.

Increased prevalence of risk factors for morbidity and mortality in the US Hispanic CF population

Hispanic ethnicity is an independent risk factor for increased morbidity and mortality in cystic fibrosis (CF) patients. In order to compare the prevalence of risk factors for morbidity and mortality between the Hispanic CF population and the non-Hispanic CF population, we performed a cross-sectional study of patients in the 2004 Cystic Fibrosis Foundation Patient Registry. Among 22,714 CF patients, 1,511 were identified as ethnic Hispanic. Hispanic patients were diagnosed earlier (2.8 vs. 3.3 years, P = 0.005) and acquired Pseudomonas aeruginosa at a younger age (6.6 years vs. 10 years, P < 0.001). FEV(1) was lower for Hispanic patients (81.5% vs. 87% predicted for those under 18 years old [P < 0.001] and 2.1 L vs. 2.3 L for those 18 years and older [P = 0.01]). Hispanic patients had similar or better nutritional status. Hispanic patients were more likely to be diagnosed with liver disease (OR 1.31 [1.1, 1.56]) but less likely to be diagnosed with depression (OR 0.53 [0.39, 0.68]), bone and joint disease (OR 0.55 [0.41, 0.71]), or CF-related diabetes (OR 0.53 [0.43, 0.62]). Hispanic patients had lower median income by zip code ($41,930 vs. $47,341; P < 0.001), a higher rate of government insurance (55.2% vs. 32.0%; P < 0.001), and greater percentage of mothers with less than a high school education (26.7% vs. 6.5%; P < 0.001). We conclude that there is an increased prevalence of important risk factors for morbidity and mortality in the Hispanic CF population.

Financial and employment problems in families of children with special health care needs: implications for research and practice

INTRODUCTION

The purpose of this study was to identify factors related to financial burden among families of children with special needs and to identify specific provider-level activities associated with decreased risk for such burden.

METHOD

Data for secondary analysis are from the National Survey of Children with Special Health Care Needs (CSHCN). Logistic regression analysis of state-level data was conducted to identify significant predictors of financial and employment problems among families of children with SHCN in Minnesota.

RESULTS

Children with more severe conditions and whose family members provided health care at home were more likely to have parents report financial and employment problems due to the child's condition. On the other hand, families whose health care providers communicated well with other service providers and who helped them feel like partners in their child's care were significantly less likely to report financial and employment problems.

DISCUSSION

Pediatric nurses and nurse practitioners can use these findings as they work with families for optimal family outcomes. Advocacy and policy implications at state and federal levels also are discussed.

Immigrant children's reliance on public health insurance in the wake of immigration reform

OBJECTIVES

We sought to determine whether the reversal of the public charge rule of the Illegal Immigration Reform and Immigrant Responsibility Act, which may have required families to pay for benefits previously received at no cost, led to immigrant children becoming increasingly reliant on public health insurance programs.

METHODS

We conducted a secondary data analysis focusing on low-income children sampled in the 1997 through 2004 versions of the National Health Interview Survey.

RESULTS

Between 1997 and 2004, public health insurance enrollments and the numbers of uninsured foreign-born children in the United States increased by 3.1% and 2.7%, respectively. Using multinomial logistic regression models to account for the substantial differences in socioeconomic status between foreign-born and US-born children, we found that low-income US-born children were just as likely as foreign-born children to have public health insurance coverage (odds ratio [OR] = 1.16; 95% confidence interval [CI] = 0.89, 1.52) and that, after 2000, foreign-born children were 1.59 times (95% CI = 1.24, 2.05) more likely than were US-born children to be uninsured (vs publicly insured).

CONCLUSIONS

In the wake of the reversal of the public charge rule, immigrant children are increasingly likely to be uninsured as opposed to relying on public health insurance.

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.

Does high BMI influence hospital charges in children undergoing adenotonsillectomy?

BACKGROUND

Obesity is a highly prevalent chronic problem with health and fiscal consequences. Data from adults and nonsurgical pediatric patients suggest that obesity has serious implications for the US economy.

OBJECTIVE

Our goal was to describe the impact of BMI on hospital charges in children undergoing adenotonsillectomy (AT).

METHODS AND PROCEDURES

We carried out a retrospective comparative analysis of the electronic anesthesia record and the charges from billing data from a large tertiary institution on children aged 3-18 years who had AT during the year 2005-2007. The main outcome measures were mean total hospital charges, likelihood of admission, and length of hospital stay (LOS).

RESULTS

Of 1,643 children, 68.9% were aged <10 years, 76% were whites, and 74.1% had private commercial insurance. Most (75.3%) children were discharged on the day of surgery. Obese and overweight children were more likely to be admitted than their normal-weight peers (X(2)=26.3, P<0.001). Among those admitted, BMI showed a positive correlation with LOS (r=0.20, P<0.001). Obese and overweight patients had significantly higher total hospital charges than their healthy-weight counterparts (P=0.001). Anesthesia, postanesthesia care unit (PACU), and pharmacy and laboratory charges were also higher for obese than normal-weight children (P<0.05).

DISCUSSION

Overweight and obese children undergoing AT accrued higher hospital charges and had longer postoperative LOS than their healthy-weight peers. If these findings are extendable to other surgical procedures, they could have far-reaching implications for the US economy.

"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.

The impact of health insurance gaps on access to care among children with asthma in the United States

BACKGROUND

Health insurance coverage is important to help assure children appropriate access to medical care and preventive services. Insurance gaps could be particularly problematic for children with asthma, since appropriate preventive care for these children depends on frequent, consistent contacts with health care providers.

OBJECTIVE

The aim of this study was to determine the association between insurance gaps and access to care among a nationally representative sample of children with asthma.

METHODS

The National Survey of Children's Health provided parent-report data for 8097 children with asthma. We identified children with continuous public or continuous private insurance and defined 3 groups with gaps in insurance coverage: those currently insured who had a lapse in coverage during the prior 12 months (gained insurance), those currently uninsured who had been insured at some time during the prior 12 months (lost insurance), and those with no health insurance at all during the prior 12 months (full-year uninsured).

RESULTS

Thirteen percent of children had coverage gaps (7% gained insurance, 4% lost insurance, and 2% were full-year uninsured). Many children with gaps in coverage had unmet needs for care (7.4%, 12.8%, and 15.1% among the gained insurance, lost insurance, and full-year uninsured groups, respectively). In multivariate models, we found significant associations between insurance gaps and every indicator of poor access to care among this population.

CONCLUSIONS

Many children with asthma have unmet health care needs and poor access to consistent primary care, and lack of continuous health insurance coverage may play an important role. Efforts are needed to ensure uninterrupted coverage for these children.

Crowd-out in the State Children's Health Insurance Program (SCHIP): incidence, enrollee characteristics and experiences, and potential impact on New York's SCHIP

BACKGROUND

The extent to which the State Children's Health Insurance Program (SCHIP) crowds our private insurance is poorly understood.

OBJECTIVE

To assess the incidence of crowd-out and enrollee characteristics associated with crowd-out.

DATA

Parent telephone survey for 2,644 children after enrollment in NY SCHIP. MEASURES AND ANALYSES: Crowd-out is measured based on enrollee reports of coverage (and loss of coverage) before SCHIP. Multivariate logistic regression is used to relate crowd-out to enrollee characteristics.

PRINCIPAL FINDINGS

Only 7.1 percent of SCHIP enrollees dropped private coverage < or =6 months before SCHIP, suggesting relatively modest crowd-out. Crowd-out was associated with some enrollee traits including income, but not with health status.

IMPLICATIONS

Most movement from private to public insurance in NY was not crowd-out. Under current program structure in NY, crowd-out concerns should not dampen enthusiasm for SCHIP.

Disruptions in insurance coverage: patterns and relationship to health care access, unmet need, and utilization before enrollment in the State Children's Health Insurance Program

BACKGROUND

The numbers and types of disruptions in insurance that children experience and the effects of these disruptions on health care measures have not been well characterized.

OBJECTIVES

Our goals were to (1) describe the number and patterns of insurance disruptions within a population of children newly enrolling into the State Children's Health Insurance Program and (2) assess the relationship among insurance disruptions and sociodemographic characteristics of these children and their families to specific measures of access to care, unmet need, and health care utilization during the year before enrollment.

METHODS

We conducted telephone interviews in families with children newly enrolling in the State Children's Health Insurance Program. Families reported on measures for each of the 12 months preceding enrollment. They were grouped by number of insurance disruptions in the year before enrollment: continuously uninsured, > or = 2 disruptions, 1 disruption, or continuously insured.

RESULTS

Of 920 families contacted, 739 (80%) completed the interview and 710 had useable data. Thirty-five percent reported being continuously uninsured, 42% were intermittently insured (> or = 2 disruptions: 28%; 1 disruption: 14%), and 23% were continuously insured during the previous year. The most common patterns of change were between privately insured and uninsured (49%) and Medicaid and uninsured (40%). The continuously uninsured were more likely to be Hispanic and older in age. Multivariate modeling confirmed a gradient between greater insurance disruption and less access to care, less utilization, and greater unmet medical need. Using the continuously uninsured as a reference group, the adjusted odds ratio for having a medical home varied from 2.5 for those with > or = 2 disruptions to 4.5 for the continuously insured and from 1.9 to 3.2, respectively, for using any regular/routine care. The odds ratio for unmet need for a prescription medication was 0.9 for > or = 2 disruptions and 0.5 for those with continuous insurance coverage.

CONCLUSIONS

There was significant disruption in insurance coverage in the year before State Children's Health Insurance Program enrollment. Most of these disruptions took the form of children previously enrolled in either Medicaid or private insurance becoming uninsured. Increasing numbers of disruptions were associated with less routine care and greater unmet medical need. These findings suggest that disruptions in insurance coverage for children should be minimized with the adoption of policies regarding continuous eligibility criteria for Medicaid and streamlining transitions between Medicaid, the State Children's Health Insurance Program, and private insurance.

Canada-trained pediatric surgeons: a cross-border survey of satisfaction and preferences

OBJECTIVES

The American and Canadian health care delivery systems impact pediatric surgical practice differently. We conducted a survey of Canada-trained pediatric surgeons practicing in the United States and Canada to compare their levels of satisfaction and to assess their health care system preferences.

METHODS

Pediatric surgeons who graduated from Canadian training programs between 1983 and 2002 were invited to complete a web-based questionnaire. They rated their satisfaction on a scale ranging from 1 (most) to 5 (least) with issues pertaining to quality of life, compensation, work environment, academics, and patient care. Surgeons who had experience in both the American and Canadian systems marked their preferences for each system as it impacted the same areas.

RESULTS

Sixty surgeons (65% practicing in the United States and 35% in Canada) of 94 eligible participants (64%) responded to the survey. Surgeons in the United States were more satisfied with their overall workload and patient care issues, whereas those in Canada were more satisfied with the system of health care reimbursement and the medicolegal environment. Among 38 surgeons who had experience in both systems, 26% had an overall preference for the Canadian system, 24% did for the American system, and half had no preference.

CONCLUSIONS

Canada-trained pediatric surgeons practicing in the United States are more satisfied with patient care issues, whereas those practicing in Canada are more satisfied with the medicolegal environment and the system of health care reimbursement. There is no overwhelming preference for either system among surgeons who had experience in both.

Genetic Counseling, Insurance Status, and Elements of Medical Home: Analysis of the National Survey of Children with Special Health Care Needs

OBJECTIVE

To examine associations between receiving genetic counseling and the enabling factors of insurance and medical home.

METHODS

This study uses data from the National Survey of Children with Special Health Care Needs (CSHCN). We use descriptive statistics to characterize families of CSHCN who needed and received genetic counseling as well as families who needed but did not receive genetic counseling. We conduct logistic regression to calculate the association between receiving genetic counseling, insurance status, and medical home while adjusting for child's age, mother's education, race, ethnicity, and severity of condition.

RESULTS

Seven percent of families with CSHCN, representing 643,432 CSHCN nationwide, reported needing genetic counseling in 2001. Of those in need of genetic counseling, an estimated 123,117 CSHCN reported not receiving genetic counseling. Compared to CSHCN with continuous insurance coverage, CSHCN with interrupted insurance coverage and CSHCN without insurance are significantly less likely to receive genetic counseling. The odds of receiving genetic counseling by CSHCN with medical homes are 2.70 times higher compared to peers without medical homes (95% CI: 1.58, 4.61; p </= .001). Among the four elements comprising medical home in this study, family-centered care is the only element significantly associated with receiving genetic counseling.

CONCLUSIONS

Our analysis presents evidence that receiving genetic counseling is positively associated with having continuous insurance coverage and receiving family-centered care. We discuss how researchers and policy makers may use these finding to explore strategies for improving care systems for CSHCN.

The association of health insurance and continuous primary care in the medical home on vaccination coverage for 19- to 35-month-old children

OBJECTIVE

Our goal was to examine the association of continuous care in the medical home and health insurance on up-to-date vaccination coverage by using data from the National Survey of Children's Health and the National Immunization Survey.

METHODS

Interviews were conducted with 5400 parents of 19- to 35-month-old children to collect data on demographics and medically-verified vaccinations. Health insurance coverage was categorized as always, intermittently, or uninsured for the previous 12 months. Insurance types were private, public, or uninsured. Having a personal doctor or nurse and receiving preventive health care in either the past 12 or 24 months constituted continuous primary care in the medical home. Children were up-to-date if they received all vaccinations by 19 to 35 months of age (>or=4 doses of diphtheria and tetanus toxoids and pertussis vaccine, >or=3 doses of poliovirus vaccine, >or=1 dose of any measles-containing vaccine, >or=3 doses of Haemophilus influenzae type b vaccine, and >or=3 doses of hepatitis B vaccine).

RESULTS

Bivariate analyses revealed children who were always insured had significantly higher vaccination coverage (83%) than those with lapses or uninsured during the past 12 months (75% and 71%, respectively). Those with continuous primary care in the medical home had significantly higher coverage than those who did not (83% vs 75%, respectively). In multivariate analysis, the same pattern of association was observed for insurance status and medical home, but the only statistically significant association was for children of never-married mothers who had significantly lower coverage (74%) compared with children of married mothers (84%).

CONCLUSIONS

Among children with the same insurance status and continuity of care in the medical home, children of single mothers were less likely to be up-to-date than children of married mothers. Interventions assisting single mothers to obtain preventive care for their children should be a priority.

Underinsurance and key health outcomes for children with special health care needs

OBJECTIVE

The objective was to examine the relationship between underinsurance and other core outcomes for children with special health care needs.

METHODS

This study analyzed data from the National Survey of Children With Special Health Care Needs. Two alternative definitions of underinsurance, designated attitudinal and economic, were investigated. Logistic regression models in which the response variables were the child's status for each of the target core outcomes and underinsurance status was a dichotomous predictor variable were created. In addition to underinsurance status, 10 other predictor variables were included in the model.

RESULTS

Underinsurance is associated with the Maternal and Child Health Bureau core outcomes for children with special health care needs related to satisfaction with care and partnering with families in decision-making, access to a medical home, community-based service delivery that is easy to use, and access to services to make transitions to adulthood. In each case, children with special health care needs who were underinsured had significantly poorer outcomes than did children who were adequately insured.

CONCLUSIONS

Although these results cannot clarify the cause of poorer outcomes, there are clear negative effects associated with the problem of underinsurance. Inadequate health care coverage for children with special health care needs may save dollars in the short-term but, if other outcomes are compromised, then children, their families, and society at large may pay a price in the longer term.

Family physicians in the child health care workforce: opportunities for collaboration in improving the health of children

Pediatric workforce studies suggest that there may be a sufficient number of pediatricians for the current and projected US child population. These analyses do not fully consider the role of family medicine in the care of children. Family physicians provide 16% to 26% of visits for children, providing a medical home for one third of the child population, but face shrinking panels of children. Family medicine's role in children's health care is more stable in rural communities, for adolescents, and for underserved populations. For these populations, in particular, family medicine's role remains important. The erosion of the proportion of visits to family medicine is likely caused by the rapid rise in the number of pediatricians relative to a declining birth rate. Between 1981 and 2004, the general pediatrician population grew at 7 times the rate of the US population, and the family physician workforce grew at nearly 5 times the rate. The number of clinicians caring for children meets or exceeds most estimates of sufficiency; however, the workforce distribution is skewed, leaving certain populations and settings underserved. More than 5 million children and adolescents live in counties with no pediatrician. Unmet need, addressing health in the context of families and communities, and tackling "millennial morbidities" represent common ground for both specialties that could lead to specific, collaborative training, research, intervention, and advocacy.