The Precarious Imperative of Home Nursing for Technology-Dependent Children

Home-Based Care for Children with Serious Illness: Ecological Framework and Research Implications

Care for U.S. children living with serious illness and their families at home is a complex and patchwork system. Improving home-based care for children and families requires a comprehensive, multilevel approach that accounts for and examines relationships across home environments, communities, and social contexts in which children and families live and receive care. We propose a multilevel conceptual framework, guided by Bronfenbrenner’s ecological model, that conceptualizes the complex system of home-based care into five levels. Levels 1 and 2 contain patient and family characteristics. Level 3 contains factors that influence family health, well-being, and experience with care in the home. Level 4 includes the community, including community groups, schools, and providers. Level 5 includes the broader regional system of care that impacts the care of children and families across communities. Finally, care coordination and care disparities transcend levels, impacting care at each level. A multilevel ecological framework of home-based care for children with serious illness and families can be used in future multilevel research to describe and test hypotheses about aspects of this system of care, as well as to inform interventions across levels to improve patient and family outcomes.

Home Health Care Utilization in Children With Medicaid

BACKGROUND

Although many children with medical complexity (CMC) use home health care (HHC), little is known about all pediatric HHC utilizers. Our objective was to assess characteristics of pediatric HHC recipients, providers, and payments.

METHODS

We conducted a retrospective analysis of 5 209 525 children age 0-to-17 years enrolled Medicaid in the 2016 IBM Watson MarketScan Medicaid Database. HHC utilizers had ≥ 1 HHC claim. Healthcare Common Procedure Coding System (HCPCS) and Current Procedural Terminology (CPT) codes were reviewed to codify provider types when possible: registered nurse (RN), licensed practical nurse (LPN), home health aide (HHA), certified nursing assistant (CNA), or companion/personal attendant. Enrollee clinical characteristics, HHC provider type, and payments were assessed. Chronic conditions were evaluated with Agency for Healthcare Research and Quality's Chronic Condition Indicators and Feudtner's Complex Chronic Conditions.

RESULTS

Of the 0.8% of children who used HHC, 43.8% were age <1 year, 25% had no chronic condition, 38.6% had a noncomplex chronic condition, 21.5% had a complex chronic condition without technology assistance, and 15.5% had technology assistance (eg, tracheostomy). HHC for children with technology assistance accounted for 72.6% of all HHC spending. Forty-five percent of HHC utilizers received RN/LPN-level care, 7.9% companion/personal attendant care, 5.9% HHA/CNA-level care, and 36% received care from an unspecified provider. For children with technology assistance, the majority (77.2%) received RN/LPN care, 17.5% companion/personal assistant care, and 13.8% HHA/CNA care.

CONCLUSIONS

Children using HHC are a heterogeneous population who receive it from a variety of providers. Future investigations should explore the role of nonnurse caregivers, particularly with CMC.

Home nursing for children with home mechanical ventilation in the United States: Key informant perspectives

OBJECTIVES & HYPOTHESIS

Children with home mechanical ventilation (HMV) require skilled care by trained caregivers, and their families feel the impacts of ubiquitous home nursing shortages. It is unknown which factors determine allocation; no standards for private duty nursing intensity exist. We sought to characterize provider experiences with and opinions on home nursing for children with HMV, hypothesizing providers would describe frequent home nursing gaps across clinical scenarios.

METHODS

Purposeful and snowball sampling identified key informant clinical providers. Survey topics included hours of home nursing received across clinical and family scenarios. Close-ended responses were analyzed using descriptive statistics and open-ended questions coded with iterative modification for major theme agreement.

RESULTS

A total of 59 respondents represented care of patients from 44 states; 49.2% physicians, 37.3% nurses, 10.2% respiratory therapists, and 3.4% case managers. Nearly all (97%) believed that families should receive more hours during initial home transition, yet less than half (47%) do. The majority (80.7%) thought the presence of other children in the home should influence nursing hours, yet only three (5.3%) reported other children have influence. Across hypothetical medical technology scenarios, providers consistently described children receiving fewer nursing hours than the providers' ideal practice. A third (31.7%) described discharging patients without any home nursing arranged.

CONCLUSIONS

This HMV provider sample highlights pervasive deficiency in home nursing provision with heterogenous interpretation of what constitutes ideal home care. Family and social contextual factors are infrequently considered in nursing allocations. Provider, community health, and family stakeholders must collaborate to generate national community practice standards for children with HMV.