Key result
The ACS NSQIP readmission variable demonstrated very high agreement with chart review for identifying all-cause readmissions (κ = 0.98) and good agreement for unplanned readmissions (κ = 0.67).
Why the study?
Does the ACS NSQIP readmission variable accurately capture 30-day postoperative readmissions compared to medical records and administrative data?
Population
1,748 surgical cases captured in ACS NSQIP at a single academic institution between January and December 2011
Comparison
ACS NSQIP readmission variable vs Medical record and administrative data
Design
Cross-sectional
Follow-up
30-day postoperative
Authors
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Supports ACS NSQIP for readmission tracking in quality efforts; leaves open broader validation and outcome impact.
Observational (n=1,748)
No
Does the ACS NSQIP readmission variable accurately capture 30-day postoperative readmissions compared to medical records and administrative data?
Effect estimate: κ = 0.98
The ACS NSQIP database accurately captures all-cause and unplanned 30-day postoperative readmissions, offering advantages over administrative data for quality improvement efforts.
Sellers et al. (2013) conducted an observational in Postoperative readmissions (n=1,748). ACS NSQIP readmission data vs. Medical record (chart review) and administrative data was evaluated on Agreement with chart review for identifying all-cause readmission events (κ = 0.98). The ACS NSQIP readmission variable demonstrated very high agreement with chart review for identifying all-cause readmissions (κ = 0.98) and good agreement for unplanned readmissions (κ = 0.67).
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