using weibull model of survival analysis workflow and its relevant factors: a prospective cohort study

Objective: one of the most important indicators used in the evaluation of emergency centers is the chronometric analysis of patients’ workflow. the aim of this study was to provide a chronometric analysis of patients’ workflow (patients’ waiting time in the emergency department) and related factors.methods: this hospital-based prospective cohort study was carried out in khatam al-anbia hospital in shoushtar in 2020. random sampling was used and patients referred to the emergency ward in three shifts based on the esi 5-level triage system. the research tools were the emergency workflow chronometry form and a questionnaire of determining the factors related to the speed of emergency services and using a stopwatch. in order to analyse the data, stata software version 16 and weibull model of survival analysis were used.results: of 468 participants, the most common cause of referral was trauma with 21.7%. the median ± interquartile range duration of giving the final result was 6.06 ± 4.48 hours, which was more than 0.54 times shorter in clients with level 3. there was a statistically significant difference in the duration of making the final decision based on the request for testing, manner of referring and the type of initial diagnosis (p <0.05).conclusion: the duration of service provision in the studied hospital is appropriate for an iranian hospital, but it should be closer to international standards. at level 2 triage, patients stayed longer. this can be reduced by lessening the time of consultations which can help the emergency ward.