Key result
The HOSPITAL score predicted 30-day potentially avoidable readmissions with good discrimination (C statistic 0.72; 95% CI 0.72-0.72) and excellent calibration.
Why the study?
Does the HOSPITAL score predict 30-day potentially avoidable readmission in adult patients discharged from medical departments?
Population
117,065 adult patients consecutively discharged alive from the medical department of 9 large hospitals…
Design
Cohort
Follow-up
30-day
Authors
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Supports HOSPITAL score for readmission risk stratification in medical patients; extends international validation but leaves impact on outcomes open.
Cohort (n=117,065)
Yes
Does the HOSPITAL score predict 30-day potentially avoidable readmission in adult patients discharged from medical departments?
Effect estimate: C statistic 0.72 (95% CI 0.72-0.72)
The HOSPITAL score is a valid tool with moderately high discrimination and excellent calibration for identifying medical patients at high risk of 30-day potentially avoidable readmission across international settings.
Donzé et al. (2016) conducted a cohort in Medical admission (n=117,065). HOSPITAL score was evaluated on 30-day potentially avoidable readmission to the index hospital using the SQLape algorithm (C statistic 0.72, 95% CI 0.72-0.72). The HOSPITAL score predicted 30-day potentially avoidable readmissions with good discrimination (C statistic 0.72; 95% CI 0.72-0.72) and excellent calibration.
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