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 facto...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Kerman University of Medical Sciences
2023-01-01
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| Series: | Journal of Emergency Practice and Trauma |
| Subjects: | |
| Online Access: | http://www.jept.ir/article_92129_c16d33d5effec109e79d6e912e84d435.pdf |
| _version_ | 1797817404059811840 |
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| author | Mohammad Nikzadian Sima Hashemi Reza Beiranvand Maryam Khormehr |
| author_facet | Mohammad Nikzadian Sima Hashemi Reza Beiranvand Maryam Khormehr |
| author_sort | Mohammad Nikzadian |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-13T08:54:00Z |
| format | Article |
| id | doaj.art-1c7ff8da4ff6457f864ccbb7fc04ab5f |
| institution | Directory Open Access Journal |
| issn | 2383-4544 |
| language | English |
| last_indexed | 2024-03-13T08:54:00Z |
| publishDate | 2023-01-01 |
| publisher | Kerman University of Medical Sciences |
| record_format | Article |
| series | Journal of Emergency Practice and Trauma |
| spelling | doaj.art-1c7ff8da4ff6457f864ccbb7fc04ab5f2023-05-29T05:50:30ZengKerman University of Medical SciencesJournal of Emergency Practice and Trauma2383-45442023-01-01914451https://doi.org/10.34172/jept.2022.34Using Weibull model of survival analysis workflow and its relevant factors: A prospective cohort studyMohammad Nikzadian0https://orcid.org/0000-0003-0185-1918Sima Hashemi1 Reza Beiranvand2https://orcid.org/0000-0002-4113-4537Maryam Khormehr3Department of Medical Emergencies, Shoushtar Faculty of Medical Sciences, Shoushtar, IranDepartment of Nursing, Shoushtar Faculty of Medical Sciences, Shoushtar, IranKhomein University of Medical Sciences, Khomein, IranKhatam Al-Anbia Hospital, Shoushtar Faculty of Medical Sciences, Shoushtar, IranObjective: 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.http://www.jept.ir/article_92129_c16d33d5effec109e79d6e912e84d435.pdfworkflowemergency serviceshospitalprospective studiessurvival analysisweibull distribution |
| spellingShingle | Mohammad Nikzadian Sima Hashemi Reza Beiranvand Maryam Khormehr Using Weibull model of survival analysis workflow and its relevant factors: A prospective cohort study Journal of Emergency Practice and Trauma workflow emergency services hospital prospective studies survival analysis weibull distribution |
| title | Using Weibull model of survival analysis workflow and its relevant factors: A prospective cohort study |
| title_full | Using Weibull model of survival analysis workflow and its relevant factors: A prospective cohort study |
| title_fullStr | Using Weibull model of survival analysis workflow and its relevant factors: A prospective cohort study |
| title_full_unstemmed | Using Weibull model of survival analysis workflow and its relevant factors: A prospective cohort study |
| title_short | Using Weibull model of survival analysis workflow and its relevant factors: A prospective cohort study |
| title_sort | using weibull model of survival analysis workflow and its relevant factors a prospective cohort study |
| topic | workflow emergency services hospital prospective studies survival analysis weibull distribution |
| url | http://www.jept.ir/article_92129_c16d33d5effec109e79d6e912e84d435.pdf |
| work_keys_str_mv | AT mohammadnikzadian usingweibullmodelofsurvivalanalysisworkflowanditsrelevantfactorsaprospectivecohortstudy AT simahashemi usingweibullmodelofsurvivalanalysisworkflowanditsrelevantfactorsaprospectivecohortstudy AT rezabeiranvand usingweibullmodelofsurvivalanalysisworkflowanditsrelevantfactorsaprospectivecohortstudy AT maryamkhormehr usingweibullmodelofsurvivalanalysisworkflowanditsrelevantfactorsaprospectivecohortstudy |