Abstract
Introduction: The aim of the study was to identify nursing management-associated factors correlated with urinary tract infection (UTI) in residents from nursing homes. Methods: The data of 3,393 nursing homes were extracted from LTCfocus database. Variables statistically correlated with UTI rate were identified by Spearman correlation analysis. Tobit regression model was used for finding the factors associated with UTI rate. Results: The number of beds (β = 0.03, 95% CI: 0.02–0.05), number of occupied beds/the total number of beds (β = 0.05, 95% CI: 0.03–0.07), number of admissions/total number of beds (β = 0.27, 95% CI: 0.11–0.43), the proportions of residents whose primary support is Medicare (β = 0.03, 95% CI: 0.01–0.06), women residents (β = 0.04, 95% CI: 0.02–0.06), White residents (β = 0.02, 95% CI: 0.01–0.03), patients with bladder incontinence (β = 0.03, 95% CI: 0.02–0.05), hypertension patients (β = 0.03, 95% CI: 0.01–0.05), and long-stay residents with daily pain (β = 0.16, 95% CI: 0.12–0.19), hospitalizations per resident year (β = 0.76, 95% CI: 0.30–1.21), and average daily census (β = −0.02, 95% CI: −0.03 to 0.00) were factors associated with UTI rate. Conclusions: Nursing homes with more females, White people, and patients with bladder incontinence, hypertension, or daily pain should be cared more and the number of occupied beds and admissions should be controlled to reduce the occurrence of UTI.
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