Construction of a Pediatrics Risk Score to Predict High Health Care Costs Among a Community Health Center Cohort

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.

Demographic and Clinical Correlates of the Cost of Potentially Preventable Hospital Encounters in a Community Health Center Cohort

This study sought to describe the cost of hospital care for ambulatory care-sensitive conditions (ACSCs) and to identify independent predictors of high-cost hospital encounters related to an ACSC among an urban community health center cohort. The authors conducted a retrospective cohort study of individuals engaged in care in a large, multisite community health center in New Haven, Connecticut, with any Medicaid claims between June 1, 2018 and March 31, 2020. Prevention Quality Indicators of the Agency for Healthcare Research and Quality were used to identify ACSCs. The primary outcome was a high-cost episode of care for an ACSC (in the top quartile within a 7-day period). Multivariable logistic regression was used to identify independent predictors of high-cost episodes by ACSCs among sociodemographic and clinical variables as covariates. Among 8019 included individuals, a total of 751 episodes of hospital care involving ACSCs were identified. The median episode cost was $793, with the highest median cost of care related to heart failure ($4992), followed by diabetes ($1162), and chronic obstructive pulmonary disease ($1141). In adjusted analyses, male gender (P < 0.01), increasing age (P = 0.02), and ACSC type (P < 0.01) were associated with higher costs of care; race/ethnicity was not. Community health centers in urban settings seeking to reduce the cost of care of potentially preventable hospitalizations may target disease-/condition-specific groups, particularly individuals of increasing age with congestive heart failure and diabetes mellitus. These findings may inform return-on-investment calculations for care coordination and other enabling services programming.