Objective: To reweight the Agency for Healthcare Research and Quality Patient Safety for Selected Indicators Composite (Patient Safety Indicator [PSI] 90) from weights based solely on the frequency of component PSIs to those that incorporate excess harm reflecting patients' preferences for outcome-related health states.
Data Sources: National administrative and claims data involving hospitalizations in nonfederal, nonrehabilitation, acute care hospitals.
Study Design: We estimated the average excess aggregate harm associated with the occurrence of each component PSI using a cohort sample for each indicator based on denominator-eligible records.
The Agency for Healthcare Research and Quality Patient Safety Indicators (PSIs) do not capture complications arising after discharge. This study sought to quantify the bias related to omission of readmissions for PSI-qualifying conditions. Using 2000-2009 California Office of Statewide Health Planning and Development Patient Discharge Data, the study team examined the change in PSI rates when including readmissions in the numerator, hospitals performing in the extreme deciles, and longitudinal performance.
View Article and Find Full Text PDFObjective: To quantify the limitations associated with restricting readmission metrics to same-hospital only readmission.
Design: Using 2000-2009 California Office of Statewide Health Planning and Development Patient Discharge Data Nonpublic file, we identified the proportion of 7-, 15- and 30-day readmissions occurring to the same hospital as the initial admission using All-cause Readmission (ACR) and 3M Corporation Potentially Preventable Readmissions (PPR) Metric. We examined the correlation between performance using same and different hospital readmission, the percent of hospitals remaining in the extreme deciles when utilizing different metrics, agreement in identifying outliers and differences in longitudinal performance.
Objective: The purpose of this study was to assess length of stay (LOS), complication rates, costs, and charges of cleft palate repair by various hospital types. We hypothesized that pediatric hospitals would have shorter LOS, fewer complications, and lower costs and charges.
Methods: Patients were identified by ICD-9-CM code for cleft palate repair (27.
Background: Care coordination has increasingly been recognized as an important aspect of high-quality health care delivery. Robust measures of coordination processes will be essential tools to evaluate, guide and support efforts to understand and improve coordination, yet little agreement exists among stakeholders about how to best measure care coordination. We aimed to review and characterize existing measures of care coordination processes and identify areas of high and low density to guide future measure development.
View Article and Find Full Text PDFObjectives: With >6 million hospital stays, costing almost $50 billion annually, hospitalized children represent an important population for which most inpatient quality indicators are not applicable. Our aim was to develop indicators using inpatient administrative data to assess aspects of the quality of inpatient pediatric care and access to quality outpatient care.
Methods: We adapted the Agency for Healthcare Research and Quality quality indicators, a publicly available set of measurement tools refined previously by our team, for a pediatric population.