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Factors Influencing Time to Disposition in Obstetric Triage: A Clinical, Operational, and Patient-Specific Analysis
Sebastian J Geraci1, Kevin Espino1, Rosanne Vertichio1
1Department of Obstetrics and Gynecology, NYU Langone Hospital-Long Island, NYU Grossman Long Island School of Medicine, Mineola, New York.
Abstract:
This study aimed to assess factors impacting obstetric triage time to disposition. The primary and secondary hypotheses were that high-risk patients and patients evaluated during periods with less staffing would experience prolonged length of stay (LOS), respectively.This single-site, retrospective cohort study analyzed 9,704 obstetric triage visits of 6,182 patients between January 1, 2022, to February 28, 2023. Inclusion criteria included patients 18 years or older with one or more evaluations. Exclusion criteria included scheduled admissions, unknown chief complaints, triage time under 10 minutes, and patients under 18 years old. A total of 6,612 visits representing 4,390 patients were included. The visits were stratified by disposition: admission versus nonadmission (transfer or discharge). Descriptive statistics analyze continuous variables. Frequencies and percentages were calculated for categorical variables. SAS was used for chi-square or Fisher's exact test for categorical variables and the two-sample t-test or Mann-Whitney test for continuous data. Statistical significance was p-value < 0.05.Of 6,612 visits, 3,475 admissions, and 3,137 nonadmissions occurred. The most common chief complaints were contractions (42%), amniotic fluid index evaluation (18%), and preeclampsia evaluation (8%). Admitted compared with nonadmitted patients had shorter LOS (64 minutes vs. 185 minutes, p < 0.001). Admitted compared with nonadmitted patients had shorter LOS by chief complaint, gestational age, high-risk maternal-fetal medicine status, time of day, and day of the week (all p < 0.001).Nonadmitted, maternal-fetal medicine and preterm patients evaluated during daytime and weekdays had significantly longer LOS. Vulnerable populations and target times for triage workflow improvement were identified. · Patient and unit factors influenced LOS.. · Nonadmitted patients had triple the LOS.. · High-risk patients had longer LOS.. · Daytime and weekday visits had longer LOS..
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