IDEAS home Printed from https://ideas.repec.org/a/ibn/gjhsjl/v8y2016i1p143.html
   My bibliography  Save this article

Measuring and Analyzing Waiting Time Indicators of Patients’ Admitted in Emergency Department: A Case Study

Author

Listed:
  • Saeed Amina
  • Ahmad Barrati
  • Jamil Sadeghifar
  • Marzeyh Sharifi
  • Zahra Toulideh
  • Hasan Abolghasem Gorji
  • Negar Feazbakhsh

Abstract

BACKGROUND & AIMS- Measuring and analyzing of provided services times in Emergency Department is the way to improves quality of hospital services. The present study was conducted with aim measuring and analyzing patients waiting time indicators in Emergency Department in a general hospital in Iran. MATERIAL & METHODS- This cross-sectional, observational study was conducted during April to September 2012. The study population consisted of 72 patients admitted to the Emergency Department at Baharlo hospital. Data collection was carried out by workflow forms. Data were analyzed by t. test and ANOVA. RESULTS- The average waiting time for patients from admission to enter the triage 5 minutes, the average time from triage to physician visit 6 minute and the average time between examinations to leave ED was estimated 180 minutes. The total waiting time in the emergency department was estimated at about 210 minutes. The significant correlation between marital status of patients (P=0.03), way of arrive to ED (P=0.02) and type of shift work (P=0.01) with studied time indicators were observed. CONCLUSION- According to results and comparing with similar studies, the average waiting time of patients admitted to the studied hospital is appropriate. Factors such as- Utilizing clinical governance system and attendance of resident Emergency Medicine Specialist have performed an important role in reducing of waiting times in ED.

Suggested Citation

  • Saeed Amina & Ahmad Barrati & Jamil Sadeghifar & Marzeyh Sharifi & Zahra Toulideh & Hasan Abolghasem Gorji & Negar Feazbakhsh, 2016. "Measuring and Analyzing Waiting Time Indicators of Patients’ Admitted in Emergency Department: A Case Study," Global Journal of Health Science, Canadian Center of Science and Education, vol. 8(1), pages 143-143, January.
    • Handle: RePEc:ibn:gjhsjl:v:8:y:2016:i:1:p:143
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/gjhs/article/download/44390/26282
    Download Restriction: no
    File URL: http://www.ccsenet.org/journal/index.php/gjhs/article/view/44390
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elif Akcali & Murray Côté & Chin Lin, 2006. "A network flow approach to optimizing hospital bed capacity decisions," Health Care Management Science, Springer, vol. 9(4), pages 391-404, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yen-Yi Feng & I-Chin Wu & Tzu-Li Chen, 2017. "Stochastic resource allocation in emergency departments with a multi-objective simulation optimization algorithm," Health Care Management Science, Springer, vol. 20(1), pages 55-75, March.
    2. Izady, Navid & Arabzadeh, Bahar & Sands, Nicholas & Adams, James, 2024. "Reconfiguration of inpatient services to reduce bed pressure in hospitals," European Journal of Operational Research, Elsevier, vol. 316(2), pages 680-693.
    3. Gregory Dobson & Hsiao-Hui Lee & Edieal Pinker, 2010. "A Model of ICU Bumping," Operations Research, INFORMS, vol. 58(6), pages 1564-1576, December.
    4. Eugene Furman & Adam Diamant & Murat Kristal, 2021. "Customer Acquisition and Retention: A Fluid Approach for Staffing," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4236-4257, November.
    5. Nathan Preuss & Lin Guo & Janet K. Allen & Farrokh Mistree, 2022. "Improving Patient Flow in a Primary Care Clinic," SN Operations Research Forum, Springer, vol. 3(3), pages 1-22, September.
    6. Noa Zychlinski & Avishai Mandelbaum & Petar Momčilović & Izack Cohen, 2020. "Bed Blocking in Hospitals Due to Scarce Capacity in Geriatric Institutions—Cost Minimization via Fluid Models," Manufacturing & Service Operations Management, INFORMS, vol. 22(2), pages 396-411, March.
    7. Di Lin & Jonathan Patrick & Fabrice Labeau, 2014. "Estimating the waiting time of multi-priority emergency patients with downstream blocking," Health Care Management Science, Springer, vol. 17(1), pages 88-99, March.
    8. Jakob Heins & Jan Schoenfelder & Steffen Heider & Axel R. Heller & Jens O. Brunner, 2022. "A Scalable Forecasting Framework to Predict COVID-19 Hospital Bed Occupancy," Interfaces, INFORMS, vol. 52(6), pages 508-523, November.
    9. Liping Zhou & Na Geng & Zhibin Jiang & Shan Jiang, 2022. "Integrated Multiresource Capacity Planning and Multitype Patient Scheduling," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 129-149, January.
    10. Aleida Braaksma & Martin S. Copenhaver & Ana C. Zenteno & Elizabeth Ugarph & Retsef Levi & Bethany J. Daily & Benjamin Orcutt & Kathryn M. Turcotte & Peter F. Dunn, 2023. "Evaluation and implementation of a Just-In-Time bed-assignment strategy to reduce wait times for surgical inpatients," Health Care Management Science, Springer, vol. 26(3), pages 501-515, September.
    11. R. J. Kuo & P. F. Song & Thi Phuong Quyen Nguyen & T. J. Yang, 2023. "An application of multi-objective simulation optimization to medical resource allocation for the emergency department in Taiwan," Annals of Operations Research, Springer, vol. 326(1), pages 199-221, July.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:gjhsjl:v:8:y:2016:i:1:p:143. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.