OBJECTIVE: The study aims to describe factors that contribute to the Length of Stay (LOS) in the Emergency Department (ED) patients of a Tertiary Private Hospital in Philippines.

METHODS: This is a retrospective descriptive study from September 1, 2015 to March 31, 2016 on the factors of ED consultations specifically on demographics (age and sex), payment schemes (Out of Pocket (OOP) and third party payer), shift times (morning, afternoon and night) and triage-levels were associated with LOS.

RESULTS: Our ED consultations with age (mean 40.75 years, SD 16.8, N 20,687, range 95) were dominated by females (56%), two age-range, 21-30 (28.4%) & 31-40 and third party payer (57%). LOS (mean of 4,40 hours, SD 3,89, N 18540, range 68) was significantly higher (p<0.001) on OOP patients, older age-range; 71-80, (3.5%) and 81-90, (2.3%). Emergent cases had higher incidence (X2= 30.2, p<0.001) on morning shift, urgent cases on afternoon shift and trauma cases on evening shift. Non-urgent cases were consistent on all time frames. LOS was significantly higher (X2=p<0.001) on urgent and emergent cases and on morning and afternoon shifts and significantly lowest, (p<0.001) on night shifts.

CONCLUSION: Higher LOS was associated on the following: urgent and emergent triage- levels, older age range, OOP, and morning and afternoon shifts.

Emergency Service, Hospital ; Length Of Stay ; Triage

Objectives: This study aimed to analyze if the indicator 72-hours Unplanned Return Visits after Emergency Department (ED) index discharge was influenced by the patient’s age, triage severity, month, payment methods, and length of stay. Likewise, it aimed to determine if the 72-hour Unplanned Return Visits was a robust indicator in assessing the quality of Emergency Department services. Methods: This was a retrospective single-center study from January to December 2017. Data were retrieved from a tertiary hospital in the Philippines. All Emergency Department patients discharged on their index visit were monitored for Unplanned Return Visits within 72 hours in the hospital. A univariate and multivariate logistic regression model was used to assess the variables associated with the 72-hour Unplanned Return Visits. Results: The 72-hour Unplanned Return Visits rate was measured at 2.67%, with the highest occurrence on the first 24 hours, and with predominance on third-party payer (p.<.0001), pediatrics (p.<0001), January (p<.0001), February (p<.0001), November (p<.0001), December (p<0001), and shorter length of stay (p<.0001) discharged after ED index visit. Conclusions Strong association of Unplanned Return Visits during the first 72 hours after Emergency Department index discharge was found for patients financed through third party-payers, with seasonal variations and inclination to the younger population with shorter length of stay. These findings warrant exploratory studies to determine the reasons for the 72-hour Unplanned Return Visits after Emergency Department index discharge and investigation on the association of premature discharge, socio-economic, health structure, and illness progression.
Triage ; Length of Stay ; Emergency Service, Hospital

Objective: The study aims to describe factors that contribute to the Length of Stay (LOS) in the Emergency Department (ED) patients of a Tertiary Private Hospital in Philippines. Methods: This is a retrospective descriptive study from September 1, 2015 to March 31, 2016 on the factors of ED consultations specifically on demographics (age and sex), payment schemes (Out of Pocket (OOP) and third party payer), shift times (morning, afternoon and night) and triage-levels were associated with LOS. Results: Our ED consultations with age (mean 40.75 years, SD 16.8, N 20,687, range 95) were dominated by females (56%), two age-range, 21-30 (28.4%) & 31-40 and third party payer (57%). LOS (mean of 4,40 hours, SD 3,89, N 18540, range 68) was significantly higher (p<0.001) on OOP patients, older age-range; 71-80, (3.5%) and 81-90, (2.3%). Emergent cases had higher incidence (X2= 30.2, p<0.001) on morning shift, urgent cases on afternoon shift and trauma cases on evening shift. Non-urgent cases were consistent on all time frames. LOS was significantly higher (X2=p<0.001) on urgent and emergent cases and on morning and afternoon shifts and significantly lowest, (p<0.001) on night shifts. Conclusion Higher LOS was associated on the following: urgent and emergent triage- levels, older age range, OOP, and morning and afternoon shifts.
Emergency Service, Hospital ; Length of Stay ; Triage