Unscheduled-Return-Visits after an Emergency Department (ED) Attendance and Clinical Link between Both Visits in Patients Aged 75 Years and Over: A Prospective Observational Study

被引:29
作者
Pereira, Laurent [1 ,2 ,3 ]
Choquet, Christophe [1 ,2 ,3 ]
Perozziello, Anne [2 ,3 ,4 ]
Wargon, Mathias [2 ,3 ,5 ]
Juillien, Gaelle [1 ,2 ,3 ]
Colosi, Luisa [1 ,2 ,3 ]
Hellmann, Romain [1 ,2 ,3 ]
Ranaivoson, Michel [1 ,2 ,3 ]
Casalino, Enrique [1 ,2 ,3 ,6 ]
机构
[1] Univ Hosp Bichat Claude Bernard, AP HP, Emergency Dept, Paris, France
[2] Study Grp Efficiency & Qual, Emergency Dept, Paris, France
[3] Nonscheduled Act Dept, Paris, France
[4] Univ Hosp Bichat Claude Bernard, Med Informat Syst Program PMSI, Paris, France
[5] Hop St Camille, Bry Sur Marne, France
[6] Univ Paris Diderot, Sorbonne Paris Cite, REMES, EA 7334, Paris, France
关键词
HOSPITAL READMISSIONS; HIGH-RISK; ADMISSIONS; CARE; QUALITY;
D O I
10.1371/journal.pone.0123803
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background Predictors of unscheduled return visits (URV), best time-frame to evaluate URV rate and clinical relationship between both visits have not yet been determined for the elderly following an ED visit. Methods We conducted a prospective-observational study including 11,521 patients aged >= 75-years and discharged from ED (5,368 patients (53.5%)) or hospitalized after ED visit (6,153 patients). Logistic Regression and time-to-failure analyses including Cox proportional model were performed. Results Mean time to URV was 17 days; 72-hour, 30-day and 90-day URV rates were 1.8%, 6.1% and 10% respectively. Multivariate analysis indicates that care-pathway and final disposition decisions were significantly associated with a 30-day URV. Thus, we evaluated predictors of 30-day URV rates among non-admitted and hospitalized patient groups. By using the Cox model we found that, for non-admitted patients, triage acuity and diagnostic category and, for hospitalized patients, that visit time (day, night) and diagnostic categories were significant predictors (p< 0.001). For URV, we found that 25% were due to closely related-clinical conditions. Time lapses between both visits constituted the strongest predictor of closely related-clinical conditions. Conclusion Our study shows that a decision of non-admission in emergency departments is linked with an accrued risk of URV, and that some diagnostic categories are also related for non- admitted and hospitalized subjects alike. Our study also demonstrates that the best time frame to evaluate the URV rate after an ED visit is 30 days, because this is the time period during which most URVs and cases with close clinical relationships between two visits are concentrated. Our results suggest that URV can be used as an indicator or quality.
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