Characteristics of Medicaid Policies for Children With Medical Complexity by State: A Qualitative Study

Bridging the gaps in pediatric complex healthcare: the case for home nursing care among children with medical complexity

BACKGROUND

Children with medical complexity (CMC) comprise < 1% of the pediatric population, but account for nearly one-third of healthcare expenditures. Further, while CMC account for up to 80% of pediatric inpatient hospital costs, only 2% of Medicaid spending is attributed to home healthcare. As a result, the current health system heavily relies on family caregivers to fill existing care gaps. This study aimed to: (1) examine factors associated with hospital admissions among CMC and (2) contextualize the potential for home nursing care to improve outcomes among CMC and their families in South Carolina (SC).

METHODS

This mixed-methods study was conducted among CMC, their family caregivers, and physicians in SC. Electronic health records data from a primary care clinic within a large health system (7/1/2022-6/30/2023) was analyzed. Logistic regression examined factors associated with hospitalizations among CMC. In-depth interviews (N = 15) were conducted among physicians and caregivers of CMC statewide. Patient-level quantitative data is triangulated with conceptual findings from interviews.

RESULTS

Overall, 39.87% of CMC experienced ≥ 1 hospitalization in the past 12 months. CMC with higher hospitalization risk were dependent on respiratory or neurological/neuromuscular medical devices, not non-Hispanic White, and demonstrated higher healthcare utilization. Interview findings contextualized efforts to reduce hospitalizations, and suggested adaptations related to capacity and willingness to provide complex care for CMC and their families.

CONCLUSIONS

Findings may inform multi-level solutions for accessible, high-quality home nursing care among CMC and their families. Providers may learn from caregivers' insight to emphasize family-centered care practices, acknowledging time and financial constraints while optimizing the quality of medical care provided in the home.

Pediatric Population Management Classification for Children with Medical Complexity

Improving the overall care of children with medical complexity (CMC) is often beset by challenges in proactively identifying the population most in need of clinical management and quality improvement. The objective of the current study was to create a system to better capture longitudinal risk for sustained and elevated utilization across time using real-time electronic health record (EHR) data. A new Pediatric Population Management Classification (PPMC), drawn from visit diagnoses and continuity problem lists within the EHR of a tristate health system, was compared with an existing complex chronic conditions (CCC) system for agreement (with weighted κ) on identifying CCMC, as well as persistence of elevated charges and utilization from 2016 to 2019. Agreement of assignment PPMC was lower among primary care provider (PCP) populations than among other children traversing the health system for specialty or hospital services only (weighted κ 62% for PCP vs. 82% for non-PCP). The PPMC classification scheme, displaying greater precision in identifying CMC with persistently high utilization and charges for those who receive primary care within a large integrated health network, may offer a more pragmatic approach to selecting children with CMC for longitudinal care management.

Caring for children with medical complexity at home: An integrative review

PROBLEM

Despite reporting significant systemic barriers to providing care, burden among parental caregivers of children with medical complexity (CMC) is often attributed to stressors related to disease management. The relationship between parental caregiver burden and systemic barriers within the healthcare bureaucracy, as defined by Ray's Theory of Bureaucratic Caring (BCT), has not been explored. The purpose of this integrative review was to examine which elements of the bureaucratic healthcare system are contributing to burden among parental caregivers of CMC living at home.

ELIGIBILITY CRITERIA

Refereed research articles related to the experiences of parental caregivers of CMC living in the United States published after 2014.

SAMPLE

1967 articles were obtained on initial literature search. Using the PRISMA algorithm, ten articles published between 2018 and 2022 were ultimately selected for appraisal.

RESULTS

Parental caregiver burden was consistently attributed to barriers and gaps among social-cultural, physical, political, legal, economic, technological, and educational elements of the bureaucratic healthcare system.

CONCLUSIONS

Weaknesses across the bureaucratic elements of the healthcare system prevent CMC from consistently receiving necessary care which in turn, contribute to feelings of burden among their parental caregivers. Efforts to alleviate burden experienced by parental caregivers should focus on addressing gaps within the healthcare bureaucracy.

IMPLICATIONS

Nurses are well-positioned to address these gaps through clinical work, advocacy, and research. Future research should further examine the appropriateness of using BCT to better understand the implications of systems-level weaknesses on parental caregiver burden. Parental caregivers of CMC should be closely involved in this process.

Underinsurance Among Children With Special Health Care Needs in the United States

Importance

A rise in pediatric underinsurance during the last decade among households with children with special health care needs (CSHCN) requires a better understanding of which households, by health care burden or income level, have been most impacted.

Objective

To examine the prevalence of underinsurance across categories of child medical complexity and the variation in underinsurance within these categories across different levels of household income.

Design, Setting, and Participants

This cross-sectional study used data from the National Survey of Children's Health and included 218 621 US children from 2016 to 2021. All children included did not reside in any type of institution (eg, correctional institutions, juvenile facilities, orphanages, long-term care facilities). Data were analyzed from January 2016 to December 2021.

Exposures

The primary exposure is a categorization of child health care needs constructed using parent-reported child physical and behavioral health conditions, as well as the presence of functional limitations.

Main Outcomes and Measures

The primary outcome variable is underinsurance, defined as absence of consistent or adequate health insurance. Models were adjusted for demographic and socioeconomic characteristics and stratified by household income. Multivariate logistic regression analysis of pooled cross-sectional survey data across multiple years (2016 to 2021) adjusted for complex survey design (weights).

Results

In a total sample of 218 621 children who were not in institutions and were aged 0 to 17 years from 2016 to 2021 (105 478 [48.9%] female; 113 143 [51.1%] male; 13 571 [13.0%] non-Hispanic Black children; 149 706 [51.2%] non-Hispanic White children), underinsurance prevalence was higher among the children who had complex physical conditions (3316 [37.0%]), mental or behavioral conditions (5432 [38.1%]), or complex physical conditions and functional limitations (1407 [40.7%]) or mental or behavioral conditions with limitations (3442 [41.1%]), compared with healthy children (ie, children without special health care needs or limitations) (52 429 [31.2%]). The association between underinsurance and complexity of child health care needs varied by household income. In households earning 200% to 399% federal poverty level (FPL), underinsurance was associated with children having complex physical conditions and limitations (OR, 2.74; 95% CI, 2.13-3.51) and mental or behavioral conditions and limitations (OR, 2.21; 95% CI, 1.87-2.62), compared with healthy children. In households earning 400% or more above FPL, children's mental or behavioral conditions and limitations were associated with underinsurance (OR, 3.31; 95% CI, 2.82-3.88) compared with healthy children.

Conclusions and relevance

In this cross-sectional study, the odds of being underinsured were not uniform among CSHCN. Both medical complexity and daily functional limitations led to increased odds of being underinsured. The concentration of underinsurance among middle-income households underpinned the challenge of health care financing for families of CSHCN whose incomes surpassed eligibility thresholds for dependent Medicaid insurance.