Key result
30-day mortality assessments were highly correlated with in-hospital mortality observed/expected ratios across 119 facilities (median r = 0.78), with high agreement in outlier status.
Why the study?
Does 30-day mortality assessment compared to in-hospital mortality assessment change hospital performance outlier status for selected medical conditions?
Population
Admissions with a principal diagnosis of acute myocardial infarction, congestive heart failure, stroke…
Comparison
30-day mortality assessment using AHRQ IQI… vs In-hospital mortality assessment using AHRQ IQI…
Design
Cohort
Follow-up
30 days
Authors
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Either metric may suffice for internal benchmarking; supports consistency but leaves open effects on care quality.
Observational
Yes
Does 30-day mortality assessment compared to in-hospital mortality assessment change hospital performance outlier status for selected medical conditions?
Effect estimate: median r = 0.78
30-day mortality and in-hospital mortality assessments yield similar hospital performance outlier status, suggesting either measure can be used for internal benchmarking depending on data linkage capabilities.
Borzecki et al. (2010) conducted an observational in Acute myocardial infarction, congestive heart failure, stroke, gastrointestinal hemorrhage, hip fracture, and pneumonia. 30-day mortality assessment vs. In-hospital mortality assessment was evaluated on Facility-level in-hospital and 30-day observed mortality rates and observed/expected ratios (O/Es) (median r = 0.78). 30-day mortality assessments were highly correlated with in-hospital mortality observed/expected ratios across 119 facilities (median r = 0.78), with high agreement in outlier status.
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