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 ۲۰۲۰. Random sampling was used and patients referred to the emergency ward in three shifts based on the ESI ۵-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 ۱۶ and Weibull model of survival analysis were used.Results: Of ۴۶۸ participants, the most common cause of referral was trauma with ۲۱.۷%. The median ± interquartile range duration of giving the final result was ۶.۰۶ ± ۴.۴۸ hours, which was more than ۰.۵۴ times shorter in clients with level ۳. 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 < ۰.۰۵).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 ۲ triage, patients stayed longer. This can be reduced by lessening the time of consultations which can help the emergency ward.

کلیدواژه ها:

Workflow ، Emergency Services ، Hospital ، Prospective Studies ، Survival analysis ، Weibull Distributio