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• W4384304845 abstract "Abstract Background Single level falls (SLFs) in the older U.S. population is a leading cause of hospital admission and rates are increasing. Unscheduled hospital readmission is regarded as a quality-of-care indication and a preventable burden on healthcare systems. We aimed to characterize the predictors of 30-day readmission following admission for SLF injuries among patients 65 years and older. Methods We conducted a retrospective cohort study using the Nationwide Readmission Database from 2018 to 2019. Included patients were 65 and older, admitted emergently following a SLF with a primary injury diagnosis. Hierarchical logit regression was used to model factors associated with readmission within 30 days of discharge. Results Of 1,338,905 trauma patients, 65 years of age or older, 61.3% had a single-level fall as the mechanism of injury. Among fallers, the average age was 81.1 years and 68.5% were female. SLF patients underwent more major therapeutic procedures (56.3% vs. 48.2%), spent over 2 million days in the hospital and incurred total charges of over $28 billion annually. Over 11% of SLF patients were readmitted within 30 days of discharge. Transfer to short-term hospital, brain and vascular injuries were independent predictors of 30-day readmission in multivariable analysis, (OR 2.45, 1.25, and 1.41, respectively). Palliative care consultation was protective, (OR 0.41). The subsequent hospitalizations among those 30-day readmissions were primarily emergent (92.9%), consumed 260,876 hospital days and a total of $2.75 billion annually. Conclusions SLFs exact costs to patients, health systems, and society. Transfer to short-term hospitals at discharge, along with brain and vascular injuries were strong predictors of 30-day readmission and warrant mitigation strategy development with consideration of expanded palliative care consultation." @default.
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• W4384304845 date "2023-07-14" @default.
• W4384304845 modified "2023-10-18" @default.
• W4384304845 title "Hospitalization and Readmission After Single Level Fall: A Population-Based Sample" @default.
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• W4384304845 doi "https://doi.org/10.21203/rs.3.rs-3059885/v1" @default.
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