Home Health Care Utilization in Children With Medicaid

Physician and informal care use explained by the Pediatric Quality of Life Inventory (PedsQL) in children with suspected genetic disorders

PURPOSE

To examine associations between Pediatric Quality of Life Inventory (PedsQL) 4.0 Generic Core Scales and PedsQL Infant Scales with formal health care resource utilization (HCRU) and informal caregiver burden.

METHODS

We studied a pediatric cohort of 837 patients (median age: 8.4 years) with suspected genetic disorders enrolled January 2019 through July 2021 in the NYCKidSeq program for diagnostic sequencing. Using linked ~ nine-month longitudinal survey and physician claims data collected through May 2022, we modeled the association between baseline PedsQL scores and post-baseline HCRU (median follow-up: 21.1 months) and informal care. We also assessed the longitudinal change in PedsQL scores with physician services using linear mixed-effects models.

RESULTS

Lower PedsQL total and physical health scores were independently associated with increases in 18-month physician services, encounters, and weekly informal care. Comparing low vs. median total scores, increases were 10.6 services (95% CI: 1.0-24.6), 3.3 encounters (95% CI: 0.5-6.8), and $668 (95% CI: $350-965), respectively. For the psychosocial domain, higher scores were associated with decreased informal care. Based on adjusted linear mixed-effects modeling, every additional ten physician services was associated with diminished improvement in longitudinal PedsQL total score trajectories by 1.1 point (95% confidence interval: 0.6-1.6) on average. Similar trends were observed in the physical and psychosocial domains.

CONCLUSION

PedsQL scores were independently associated with higher utilization of physician services and informal care. Moreover, longitudinal trajectories of PedsQL scores became less favorable with increased physician services. Adding PedsQL survey instruments to conventional measures for improved risk stratification should be evaluated in further research.

Children with medical complexity receiving home healthcare devices in Japan: a retrospective cohort study

BACKGROUND

Limited evidence exists regarding children receiving home healthcare devices (HHDs). This study aimed to describe the range and type of HHD use by children with chronic medical conditions in Japan and explore factors leading to increased use of these devices.

METHODS

This retrospective cohort study was conducted using data from the National Database of Health Insurance Claims and Specific Health Checkups of Japan. Children receiving HHD aged ≤18 years between April 2011 and March 2019 were included. Children newly administered HHD between 2011 and 2013 were followed up for 5 years, and logistic regression analysis was performed to assess the relationship between increased HHD use and each selected risk factor (comorbidity or types of HHD). The models were adjusted for age category at home device introduction, sex and region.

RESULTS

Overall, 52 375 children receiving HHD were identified. The number (proportion) of children receiving HHD increased during the study period (11 556 [0.05%] in 2010 and 25 593 [0.13%] in 2018). The most commonly administered HHD was oxygen (51.0% in 2018). Among the 12 205 children receiving HHD followed up for 5 years, 70.4% and 68.3% who used oxygen or continuous positive airway pressure, respectively, were released from the devices, while only 25.8% who used mechanical ventilation were released from the device. The following diagnosis/comorbidities were associated with increased HHD use: other neurological diseases (OR): 2.85, 95% CI): 2.54-3.19), cerebral palsy (OR: 2.16, 95% CI: 1.87 to 2.49), congenital malformations of the nervous system (OR: 1.70, 95% CI: 1.34 to 2.13) and low birth weight (OR: 1.68, 95% CI: 1.41 to 2.00).

CONCLUSIONS

This study provides nationwide population-based empirical data to clarify the detailed information regarding children receiving HHD in Japan. This information could assist healthcare professionals in improving the quality of life of these children and their families and help health policymakers consider measures.

Home Health Nursing Agencies' Services for Children With Medical Complexity: Parent and Nurse Perspectives

OBJECTIVE

Many children with medical complexity (CMC) require the services of home health nurses (HHNs). Home health agencies (HHAs) hire, train, and manage nurses. For children to flourish, families, nurses, and HHAs must establish successful working relationships. Our objective was to understand the perspectives of parents and nurses about HHAs.

METHODS

In Illinois (IL) from 2019 to 2022, HHNs for and parents of children with invasive mechanical ventilation were interviewed. In North Carolina (NC) from 2012 to 2013, parents of CMC were interviewed, and from 2013 to 2014 HHNs participated in focus groups. Each dataset was initially analyzed separately for main themes relating to HHAs. Using collaborative thematic analysis, we determined themes common across datasets.

RESULTS

In IL, 23 mothers, 12 fathers, and 20 nurses were interviewed. In NC, 19 mothers, 6 fathers, and 1 grandmother were interviewed; and 4 focus groups of 18 nurses were conducted. Four common themes were identified. 1) HHAs do not have a uniform process for hiring and assigning nurses to cases. 2) HHAs have marked variability in training offered to nurses. 3) Shift scheduling, notifications, and communications with the HHAs frustrate parents and nurses. 4) Nurses and parents have little allegiance to specific HHAs; they frequently change agencies or work with several simultaneously.

CONCLUSIONS

Parents and nurses perceive practices for hiring, training, and staffing as inconsistent, and experience communication challenges. HHA-level problems may contribute to issues with HHN retention and complicate the lives of the families of CMC. Further research about this critical health care sector is needed.

Accuracy of the Exeter Hospitalizations-Office Visits-Medical Conditions-Extra Care-Social Concerns Index for Identifying Children With Complex Chronic Medical Conditions in the Clinical Setting

OBJECTIVE

Our objective was to determine the accuracy of a point-of-care instrument, the Hospitalizations-Office Visits-Medical Conditions-Extra Care-Social Concerns (HOMES) instrument, in identifying patients with complex chronic conditions (CCCs) compared to an algorithm used to identify patients with CCCs within large administrative data sets.

METHODS

We compared the HOMES to Feudtner's CCCs classification system. Using administrative algorithms, we categorized primary care patients at a children's hospital into 3 categories: no chronic conditions, non-complex chronic conditions, and CCCs. We randomly selected 100 patients from each category. HOMES scoring was completed for each patient. We performed an optimal cut-point analysis on 80% of the sample to determine which total HOMES score best identified children with ≥1 CCC and ≥2 CCCs. Using the optimal cut points and the remaining 20% of the study population, we determined the odds and area under the curve (AUC) of having ≥1 CCC and ≥2 CCCs.

RESULTS

The median (interquartile range [IQR]) age was 4 (IQR: 0, 8). Using optimal cut points of ≥7 for ≥1 CCC and ≥11 for ≥2 CCCs, the odds of having ≥1 CCC was 19 times higher than lower scores (odds ratio [OR] 19.1 [95% confidence interval [CI]: 9.75, 37.5]) and of having ≥2 CCCs was 32 times higher (OR 32.3 [95% CI: 12.9, 50.6]). The AUCs were 0.76 for ≥1 CCC (sensitivity 0.82, specificity 0.80) and 0.74 for ≥2 CCCs (sensitivity 0.92, specificity 0.74).

CONCLUSIONS

The HOMES accurately identified patients with CCCs.