ArticleMayo Clinic proceedings. Innovations, quality & outcomes2025
Hospital-at-Home Patient Fall Predictors.
Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
11 authors.
Funding
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Abstract
Objective: To evaluate predictors of falls in the hospital-at-home (HaH) setting from a single institution in 3 US states. Patients and Methods: In this retrospective study of HaH patients residing in Florida, Wisconsin, and Arizona, we identified 51 patients who fell and were matched to 153 patients without fall, between July 2020 and July 2023. Patient demographics and clinical characteristics were collected, including age, sex, race, Charlson Comorbidity Index, geographic location, body mass index, Hester Davis Scale, admission diagnosis, continuous intravenous infusion, polypharmacy, marital status/life partnership, area deprivation index, and use of supplemental oxygen. Association of patient characteristics were examined using unadjusted and multivariable logistic regression models (July 29, 2020 to July 5, 2023). Results: The rate of falls was 6.8 per 1,000 patient bed-days. In multivariable analysis, we found that older age (odds ratio [OR; per each 10-year increase], 1.37; Conclusion: In patients hospitalized at home, the risk of falls may increase with older age, higher Charlson Comorbidity Index, and supplemental oxygen use. Mitigation strategies to prevent falls in patients with these risk factors should be considered in the HaH setting.
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Registered trials
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