Popis: |
Abstract Background Length of stay in the emergency department is used as a quality indicator to gauge the overall efficiency of emergency care. The performance measure was used to evaluate the quality of care provided in the emergency department. Objective To assess the length of stay and associated factors among pediatric patients admitted to the pediatric emergency unit of Tikur Anbessa Specialized Hospital in Addis Ababa, Ethiopia. Methods An institution-based prospective cross-sectional study design was employed. A systematic random sampling technique was used to select the study participants. Data were collected via semi-structured, interviewer-administered questionnaires and chart reviews. Analysis was performed via the Statistical Package for Social Science software version 27. Binary logistic regression analysis was conducted to identify variables associated with the length of stay. The study was conducted in the Pediatric Emergency Unit of Tikur Anbessa Specialized Hospital in Addis Ababa, Ethiopia, from March 15 to April 15, 2023. Results A total of 268 patients participated in the study, with a response rate of 97.81%. The majority of the participants were male (157, 58.6%), with a median age of 3 years. The study revealed that 180 participants (67.2%) experienced a prolonged length of stay. The variables significantly associated with prolonged length of stay included residency (AOR = 2.04, CI: 1.03, 4.025), triage category (AOR = 3.25, CI: 1.08, 5.974), number of investigations (AOR = 2.381, CI: 1.038, 5.462), and waiting for imaging (AOR = 4.230, CI: 1.638, 10.93). Conclusion Many pediatric patients stayed in the emergency room for more than 24 h because of factors such as residency, triage category, number of investigations, and the need for imaging. To address this, we recommend streamlining triage processes, increasing imaging resources, providing additional staff training, developing integrated care pathways, and advocating for policy changes to increase emergency room efficiency and improve patient outcomes. |