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Hospital Variation in Health Care Utilization by Children With Medical Complexity
Shawn L Ralston1, Wade Harrison2, Jared Wasserman3
1Department of Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire; Section of Pediatric Hospital Medicine, Children's Hospital at Dartmouth, Lebanon, New Hampshire; and shawn.l.ralston@hitchcock.org.
Insights
Care patterns for children with medical complexity vary significantly by hospital. This highlights the need to identify and implement best practices for this growing patient group.
Area of Science:
- Pediatric Healthcare
- Health Services Research
- Medical Complexity
Background:
- Children with medical complexity (CMC) have substantial healthcare needs.
- Understanding variations in care delivery across centers is crucial for quality improvement and cost reduction.
Purpose of the Study:
- To investigate the variation in healthcare utilization among children with medical complexity across different hospital centers.
- To identify patterns of care that may inform best practices.
Main Methods:
- Retrospective, population-based cohort study (2007-2010) using all-payer claims data.
- Identified 8,216 children with medical complexity across 6 hospital-affiliated cohorts.
- Analyzed patient encounters, medical imaging, and diagnostic testing using adjusted relative rates.
Main Results:
- Significant twofold variation observed in inpatient and intensive care days.
- Moderate variation in office and emergency department visits.
- Marked variation in diagnostic testing, including electrocardiography and head MRI, with relative rates ranging from 0.35 to 2.81.
Conclusions:
- Children with medical complexity experience highly variable utilization of healthcare services based on their care location.
- Findings underscore the necessity of establishing standardized best practices for managing this population.
Background:
Although children with medical complexity have high health care needs, little is known about the variation in care provided between centers. This information may be particularly useful in identifying opportunities to improve quality and reduce costs.
Methods:
We conducted a retrospective population-based observational cohort study using all payer claims databases for children aged 30 days to <18 years residing in Maine, New Hampshire, and Vermont from 2007 to 2010. We identified hospital-affiliated cohorts (n = 6) of patients (n = 8216) with medical complexity by using diagnostic codes from both inpatient and outpatient claims. Children were assigned to the hospital where they received the most inpatient days, or their outpatient visits if no hospitalization occurred. Outcomes of interest included patient encounters, medical imaging, and diagnostic testing. Adjusted relative rates were calculated with overdispersed Poisson regression models.
Results:
Adjusting for patient characteristics, the number of inpatient (relative rate 0.84 vs 2.28) and intensive care days (relative rate 0.45 vs 1.28) varied by more than twofold, whereas office (relative rate 0.77 vs 1.12) and emergency department visits (relative rate 0.71 vs 1.37) varied to a lesser extent. There was also marked variation in the use of imaging, and other diagnostic tests, with particularly high variation in electrocardiography (relative rate 0.35 vs 2.81) and head MRI (relative rate 0.72 vs 2.12).
Conclusions:
Depending on where they receive care, children with medical complexity experience widely different patterns of utilization. These findings indicate the need for identifying best practices for this growing patient population.
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