Program Churning and Transfers Between Medicaid and CHIP

Insurance coverage during transitions: Evidence from Medicaid automatic enrollment for children receiving supplemental security income

OBJECTIVES

To analyze relationships between Medicaid automatic enrollment for child Supplemental Security Income (SSI) recipients and health insurance coverage during transitions.

DATA SOURCES AND STUDY SETTING

Medical Expenditure Panel Study, 2000-2020 and National Survey for Children with Special Health Care Needs, 2001-2010.

STUDY DESIGN

Leveraging variation in SSI-Medicaid automatic enrollment status across regions and over time, we estimate a regression model to quantify associations between automatic enrollment and insurance coverage. We validate our findings in the NS-CSHCN.

DATA COLLECTION

Our sample includes children receiving SSI for a disability. We also analyze a subsample of children newly enrolled in SSI.

PRINCIPAL FINDINGS

Automatic enrollment is associated with a statistically significant increase in insurance coverage. Expanding automatic enrollment to all states is associated with increases in Medicaid enrollment of 3% (CI 0.9%-6.7%) among all SSI children and 7% (CI 1.1%-13.9%) among children newly enrolled in SSI. We find similar decreases in uninsurance. Analysis in the NS-CSHCN replicates these findings.

CONCLUSIONS

Medicaid automatic enrollment policies are associated with increased insurance coverage for SSI children, particularly those transitioning into the program. Medicaid policy defaults could play an important role in reducing administrative burdens to improve children's coverage and access to care.

Healthcare Utilization Among Infants Covered by Medicaid and Newly Diagnosed With Respiratory Syncytial Virus

Background

Infants covered by Medicaid have higher respiratory syncytial virus (RSV) hospitalization rates than those with commercial insurance, but findings are limited to the inpatient setting. This birth cohort study describes healthcare encounters for RSV across all settings among infants covered by Medicaid and the Children's Health Insurance Program.

Methods

Medicaid claims for infants born and residing in Arizona (AZ), California (CA), Florida (FL), Michigan (MI), North Carolina (NC), New York (NY), and Texas (TX) were analyzed for first diagnosis of RSV in 2016-2018 using International Classification of Diseases, Tenth Revision codes. Encounters on the day of first diagnosis were examined by setting in 7 states and by setting and race in CA, FL, and NC.

Results

A total of 80 945 infants were diagnosed with RSV in 7 states in 2016-2018. The highest encounter rates for first RSV diagnosis were in the emergency department (ED) in 5 states (11.0-33.4 per 1000 in AZ, CA, FL, MI, and NY) and outpatient setting in 2 states (54.8 and 68.5 per 1000 in TX and NC). Significantly higher outpatient encounter rates were found in CA and NC for White infants compared to non-White infants. In NC, ED encounter rates were significantly higher for non-White infants than White infants, whereas in CA, the rates were comparable. In these 2 states, hospitalization rates were similar across groups. In FL, compared with White infants, non-White infants had significantly higher encounter rates in each setting on the day of first RSV diagnosis.

Conclusions

This is the first study to describe the burden of RSV by setting and race. Medicaid infants who are newly diagnosed with RSV have the highest burden in ED and outpatient settings.

Rural-urban disparities in health care delivery for children with medical complexity and moderating effects of payer, disability, and community poverty

PURPOSE

Children with medical complexity (CMC) may be at increased risk of rural-urban disparities in health care delivery given their multifaceted health care needs, but these disparities are poorly understood. This study evaluated rural-urban disparities in health care delivery to CMC and determined whether Medicaid coverage, co-occurring disability, and community poverty modified the effects of rurality on care delivery.

METHODS

This retrospective cohort study of 2012-2017 all-payer claims data from Colorado, Massachusetts, and New Hampshire included CMC <18 years. Health care delivery measures (ambulatory clinic visits, emergency department visits, acute care hospitalizations, total hospital days, and receipt of post-acute care) were compared for rural- versus urban-residing CMC in multivariable regression models, following established methods to evaluate effect modification.

FINDINGS

Of 112,475 CMC, 7307 (6.5%) were rural residing and 105,168 (93.5%) were urban residing. A total of 68.9% had Medicaid coverage, 33.9% had a disability, and 39.7% lived in communities with >20% child poverty. In adjusted analyses, rural-residing CMC received significantly fewer ambulatory visits (risk ratio [RR] = 0.95, 95% confidence interval [CI]: 0.94-0.96), more emergency visits (RR = 1.12, 95% CI: 1.08-1.16), and fewer hospitalization days (RR = 0.90, 95% CI = 0.85-0.96). The estimated modification effects of rural residence by Medicaid coverage, disability, and community poverty were each statistically significant. Differences in the odds of having a hospitalization and receiving post-acute care did not persist after incorporating sociodemographic and clinical characteristics and interaction effects.

CONCLUSIONS

Rural- and urban-residing CMC differed in their receipt of health care, and Medicaid coverage, co-occurring disabilities, and community poverty modified several of these effects. These modifying effects should be considered in clinical and policy initiatives to ensure that such initiatives do not widen rural-urban disparities.

Consistency and Adequacy of Public and Commercial Health Insurance for US Children, 2016 to 2021

Importance

Before and during the COVID-19 public health emergency (PHE), commercially and publicly insured children may have faced different challenges in obtaining consistent and adequate health insurance.

Objective

To compare overall rates, COVID-19 PHE-related changes, and child and family characteristics associated with inconsistent and inadequate coverage for publicly and commercially insured children.

Design, Settings, and Participants

This was a cross-sectional study using nationally representative data from the 2016 to 2021 National Survey of Children's Health of children from age 0 to 17 years living in noninstitutional settings.

Exposure

Parent- or caregiver-reported current child health insurance type defined as public or commercial.

Main Outcomes and Measures

Inconsistent insurance, defined as having an insurance gap in the past year; and inadequate insurance, defined by failure to meet 3 criteria: (1) benefits usually/always sufficient to meet child's needs; (2) coverage usually/always allows child to access needed health care practitioners; and (3) no or usually/always reasonable annual out-of-pocket payments for child's health care. Survey-weighted logistic regression was used to compare outcomes by insurance type, by year (2020-2021 vs 2016-2019), and by child characteristics within insurance type.

Results

Of this nationally representative sample of 203 691 insured children, 34.5% were publicly insured (mean [SD] age, 8.4 [4.1] years; 47.4% female) and 65.5% were commercially insured (mean [SD] age, 8.7 [5.6]; 49.1% female). Most publicly insured children were either non-Hispanic Black (20.9%) or Hispanic (36.4%); living with 2 married parents (38.4%) or a single parent (33.1%); and had a household income less than 200% of the federal poverty level (79%). Most commercially insured children were non-Hispanic White (62.8%), living with 2 married parents (79.0%); and had a household income of 400% of the federal poverty level or higher (49.1%). Compared with commercially insured children, publicly insured children had higher rates of inconsistent coverage (4.2% vs 1.4%; difference, 2.7 percentage points [pp]; 95% CI, 2.3 to 3.2) and lower rates of inadequate coverage (12.2% vs 33.0%; difference, -20.8 pp; 95% CI, -21.6 to -20.0). Compared with the period from 2016 to 2019, inconsistent insurance decreased by 42% for publicly insured children and inadequate insurance decreased by 6% for commercially insured children during the COVID-19 PHE (2020-2021). The child and family characteristics associated with inadequate and inconsistent insurance varied by insurance type.

Conclusions and Relevance

The findings of this cross-sectional study indicate that insurance gaps are a particular problem for publicly insured children, whereas insurance inadequacy and particularly, out-of-pocket costs are a challenge for commercially insured children. Both challenges improved during the COVID-19 PHE. Improving children's health coverage after the PHE will require policy solutions that target the unique needs of commercially and publicly insured children.

Hospital Admissions in Pediatric Patients With Tracheostomies Based on Rurality and Insurance Status

OBJECTIVE

Determine whether rurality or public insurance status is associated with greater 30-day readmission after tracheostomy in pediatric patients.

STUDY DESIGN

Retrospective cohort.

SETTING

Pediatric Health Information System (PHIS) Database.

METHODS

Patients within PHIS who underwent tracheostomy from 2013 to 2017 were included. Rural status was defined by rural-urban commuting area codes. Insurance status was based on the primary payer. All-cause 30-day readmissions and tracheostomy-related readmissions were recorded. Multivariate logistic regression was performed to test for differences in readmissions between cohorts.

RESULTS

Among patients, 1092 were rural, and 4329 were publicly insured, with no significant association between rurality and insurance. Compared to nonrural patients, rural patients were more frequently white, less frequently ventilator dependent, and more likely discharged home rather than to a care facility. Publicly insured patients were more frequently non-white. Twenty-eight percent of patients were readmitted within 30 days of discharge. Odds of 30-day readmission were lower in rural patients (odds ratio [OR]: 0.80, 95% confidence interval [CI]: 0.68-0.95, p = .01) but higher in publicly insured (OR: 1.24, 95% CI: 1.09-1.42, p = .001) controlling for age at tracheostomy, sex, race, and ventilator dependence. The odds of tracheostomy-related admission did not differ by rurality but were higher in publicly insured children (1.39, 95% CI: 1.03-1.88, p = .03).

CONCLUSION

Readmission within 30 days following tracheostomy was more likely in publicly insured patients and less likely in rural patients. These findings help identify at-risk patients when considering discharge planning and follow-up. More work is needed to understand long-term tracheostomy outcomes in these groups.

Healthcare Utilization for Medicaid-Insured Children with Medical Complexity: Differences by Sociodemographic Characteristics

OBJECTIVE

To compare differences in healthcare utilization and costs for Medicaid-insured children with medical complexity (CMC) by race/ethnicity and rurality.

METHODS

Retrospective cohort of North Carolina (NC) Medicaid claims for children 3-20 years old with 3 years continuous Medicaid coverage (10/1/2015-9/30/2018). Exposures were medical complexity, race/ethnicity, and rurality. Three medical complexity levels were: without chronic disease, non-complex chronic disease, and complex chronic disease; the latter were defined as CMC. Race/ethnicity was self-reported in claims; we defined rurality by home residence ZIP codes. Utilization and costs were summarized for 1 year (10/1/2018-9/30/2019) by complexity level classification and categorized as acute care (hospitalization, emergency [ED]), outpatient care (primary, specialty, allied health), and pharmacy. Per-complexity group utilization rates (per 1000 person-years) by race/ethnicity and rurality were compared using adjusted rate ratios (ARR).

RESULTS

Among 859,166 Medicaid-insured children, 118,210 (13.8%) were CMC. Among CMC, 36% were categorized as Black non-Hispanic, 42.7% White non-Hispanic, 14.3% Hispanic, and 35% rural. Compared to White non-Hispanic CMC, Black non-Hispanic CMC had higher hospitalization (ARR = 1.12; confidence interval, CI 1.08-1.17) and ED visit (ARR = 1.17; CI 1.16-1.19) rates; Hispanic CMC had lower ED visit (ARR = 0.77; CI 0.75-0.78) and hospitalization rates (ARR = 0.79; CI 0.73-0.84). Black non-Hispanic and Hispanic CMC had lower outpatient visit rates than White non-Hispanic CMC. Rural CMC had higher ED (ARR = 1.13; CI 1.11-1.15) and lower primary care utilization rates (ARR = 0.87; CI 0.86-0.88) than urban CMC.

DISCUSSION

Healthcare utilization varied by race/ethnicity and rurality for Medicaid-insured CMC. Further studies should investigate mechanisms for these variations and expand higher value, equitable care delivery for CMC.

Accounting for study participants who are ineligible for linkage: a multiple imputation approach to analyzing the linked National Health and Nutrition Examination Survey and Centers for Medicare and Medicaid Services' Medicaid data

Data from the National Health and Nutrition Examination Survey have been linked to the Center for Medicare and Medicaid Services' Medicaid Enrollment and Claims Files for the survey years 1999-2004. The linked data are produced by the National Center for Health Statistics' (NCHS) Data Linkage Program and are available in the NCHS Research Data Center. This project compares the usefulness of multiple imputation to account for data linkage ineligibility and other survey nonresponse with currently recommended weight adjustment procedures. Estimated differences in environmental smoke exposure across Medicaid/Children's Health Insurance Program (CHIP) enrollment status among children ages 3-15 years are examined as a motivating example. Comparisons are drawn across the three different estimates: one that uses MI to impute the administrative Medicaid/CHIP status of those who are ineligible for linkage, a second that uses the linked data restricted to linkage eligible participants with a basic weight adjustment, and a third that uses self-reported Medicaid/CHIP status from the survey data. The results indicate that estimates from the multiple imputation analysis were comparable to those found when using weight adjustment procedures and had the added benefit of incorporating all survey participants (linkage eligible and linkage ineligible) into the analysis. We conclude that both multiple imputation and weight adjustment procedures can effectively account for survey participants who are ineligible for linkage.

Insurance Coverage and Acute Care Revisits After Pediatric Ambulatory Tonsillectomy

We investigated whether patterns of health insurance coverage were associated with 30-day all-cause acute care revisits after ambulatory tonsillectomy at a free-standing quaternary-care pediatric hospital. Insurance patterns were classified from past encounters as continuous private, continuous Medicaid, Medicaid-to-private change, or private-to-Medicaid change. Among 478/675 boys/girls (age 9 ± 4 years) selected for analysis, 148 (13%) had 30-day revisits, whereas 96 (8%) changed from Medicaid to private insurance, and 99 (9%) changed from private insurance to Medicaid. Revisits were most common in the private-to-Medicaid group, compared with continuous private coverage (19% vs 10%; 95% CI of difference: 1%-18%; P = .007). The private-to-Medicaid group was most likely to be overweight, have symptoms of sleep disordered breathing, and have more past clinical encounters. In multivariable analysis, the greater risk of acute care revisits among children with private-to-Medicaid change in coverage was attributable to greater comorbidity burden and past health care utilization.

The Children's Health Insurance Program Reauthorization Act Evaluation Findings on Children's Health Insurance Coverage in an Evolving Health Care Landscape

The Children's Health Insurance Program (CHIP) Reauthorization Act (CHIPRA) reauthorized CHIP through federal fiscal year 2019 and, together with provisions in the Affordable Care Act, federal funding for the program was extended through federal fiscal year 2015. Congressional action is required or federal funding for the program will end in September 2015. This supplement to Academic Pediatrics is intended to inform discussions about CHIP's future. Most of the new research presented comes from a large evaluation of CHIP mandated by Congress in the CHIPRA. Since CHIP started in 1997, millions of lower-income children have secured health insurance coverage and needed care, reducing the financial burdens and stress on their families. States made substantial progress in simplifying enrollment and retention. When implemented optimally, Express Lane Eligibility has the potential to help cover more of the millions of eligible children who remain uninsured. Children move frequently between Medicaid and CHIP, and many experienced a gap in coverage with this transition. CHIP enrollees had good access to care. For nearly every health care access, use, care, and cost measure examined, CHIP enrollees fared better than uninsured children. Access in CHIP was similar to private coverage for most measures, but financial burdens were substantially lower and access to weekend and nighttime care was not as good. The Affordable Care Act coverage options have the potential to reduce uninsured rates among children, but complex transition issues must first be resolved to ensure families have access to affordable coverage, leading many stakeholders to recommend funding for CHIP be continued.