Out-of-Network Care in Commercially Insured Pediatric Patients According to Medical Complexity

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.

Cost-Effectiveness of Care Coordination for Children With Chronic Noncomplex Medical Conditions: Results From a Multicenter Randomized Clinical Trial

OBJECTIVES

To assess the cost-effectiveness of care coordination, compared with standard care, for children with chronic noncomplex medical conditions.

METHODS

A total of 81 children aged between 2 and 15 years newly diagnosed with a noncomplex chronic condition were randomized to either care coordination or standard care as part of a multicenter randomized controlled trial. Families receiving care coordination were provided access to an Allied Health Liaison Officer, who facilitated family-centered healthcare access across hospital, education, primary care, and community sectors. Costs were estimated over a 12-month period from the perspective of the Australian health system. Health outcomes were valued as quality-adjusted life-years (QALYs). Caregiver productivity costs were included in an alternative base-case analysis, and key assumptions were tested in a series of one-way sensitivity analyses. A probabilistic sensitivity analysis was conducted to investigate the overall impact of uncertainty in the data.

RESULTS

Children in the intervention arm incurred an average of $17 in additional health system costs (95% confidence interval -3861 to 1558) and gained an additional 0.031 QALYs (95% confidence interval -0.29 to 0.092) over 12 months, producing an incremental cost-effectiveness ratio of $548 per QALY. When uncertainty was considered, there was a 73% likelihood that care coordination was cost-effective from a health system perspective, assuming a willingness to pay of $50 000 per QALY. This increased to 78% when caregiver productivity costs were included.

CONCLUSIONS

Care coordination is likely to be a cost-effective intervention for children with chronic noncomplex medical conditions in the Australian healthcare setting.