Using Weibull model of survival analysis workflow and its relevant factors: A prospective cohort study
محل انتشار: مجله اورژانس و تروما، دوره: 9، شماره: 1
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 123
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شناسه ملی سند علمی:
JR_JEPT-9-1_010
تاریخ نمایه سازی: 12 مرداد 1403
چکیده مقاله:
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:
نویسندگان
Mohammad Nikzadian
Department of Medical Emergencies, Shoushtar Faculty of Medical Sciences, Shoushtar, Iran
Sima Hashemi
Department of Nursing, Shoushtar Faculty of Medical Sciences, Shoushtar, Iran
Reza Beiranvand
Khomein University of Medical Sciences, Khomein, Iran
Maryam Khormehr
Khatam Al-Anbia Hospital, Shoushtar Faculty of Medical Sciences, Shoushtar, Ira
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