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Recognizing Differences in Hospital Quality Performance for Pediatric Inpatient Care
Jay G Berry1, Alan M Zaslavsky2, Sara L Toomey3
1Division of General Pediatrics, and Division of General Pediatrics, Department of Medicine, and jay.berry@childrens.harvard.edu.
Insights
Most hospitals can detect poor pediatric inpatient care for general quality measures. However, many hospitals lack sufficient data to identify variations in condition-specific pediatric quality. This impacts quality improvement initiatives.
Area of Science:
- Pediatric Healthcare Quality
- Health Services Research
- Biostatistics
Background:
- Public reporting of hospital quality measures aims to guide consumer choice and drive quality improvement.
- The adequacy of data for assessing pediatric inpatient care quality across hospitals and states is not well-established.
Purpose of the Study:
- To determine the number of hospitals and states with sufficient pediatric discharges to reliably detect worse-than-average inpatient care.
- To evaluate the statistical power of existing data for various pediatric quality measures.
Main Methods:
- Retrospective analysis of 2009 Kids' Inpatient Database (3974 hospitals, 44 states).
- Assessed 11 all-condition and condition-specific quality measures.
- Calculated the number of hospitals/states meeting an 80% power standard to detect 20% worse-than-average care over 3 years, approximating volume as 3x actual discharges.
Main Results:
- All states and most hospitals met the power standard for family experience-of-care and adverse drug events.
- For condition-specific measures (asthma, birth, mental health), 52%-90% of condition-specific discharges and 40-44 states met the standard.
- Few hospitals/states met the standard for sickle cell disease and other specific conditions (e.g., heart surgery, seizure).
Conclusions:
- Most children receive care in hospitals with adequate power for general quality measures.
- Data limitations hinder the reliable assessment of condition-specific pediatric inpatient quality.
- Policy incentives for pediatric quality should consider these data power disparities.
Background:
Hospital quality-of-care measures are publicly reported to inform consumer choice and stimulate quality improvement. The number of hospitals and states with enough pediatric hospital discharges to detect worse-than-average inpatient care remains unknown.
Methods:
This study was a retrospective analysis of hospital discharges for children aged 0 to 17 years from 3974 hospitals in 44 states in the 2009 Kids' Inpatient Database. For 11 measures of all-condition or condition-specific quality, we assessed the number of hospitals and states that met a "power standard" of 80% power for a 5% level significance test to detect when care is 20% worse than average over a 3-year period. For this assessment, we approximated volume as 3 times actual 2009 admission volumes.
Results:
For all-condition quality, 1380 hospitals (87% of all pediatric discharges) and all states met the power standard for the family experience-of-care measure; 1958 hospitals (95% of discharges) and all states met the standard for adverse drug events. For condition-specific quality measures of asthma, birth, and mental health, 203 to 482 hospitals (52%-90% of condition-specific discharges) met the power standard and 40 to 44 states met the standard. One hospital and 16 states met the standard for sickle cell disease. No hospital and ≤27 states met the standard for the remaining measures studied (appendectomy, cerebrospinal fluid shunt surgery, gastroenteritis, heart surgery, and seizure).
Conclusions:
Most children are admitted to hospitals in which all-condition measures of quality have adequate power to show modest differences in performance from average, but most condition-specific measures do not. Policies regarding incentives for pediatric inpatient quality should take these findings into account.
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