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A review on ambulance offload delay literature

Author

Listed:
  • Mengyu Li

    (Dalhousie University)

  • Peter Vanberkel

    (Dalhousie University)

  • Alix J. E. Carter

    (Dalhousie University
    Emergency Health Services
    Nova Scotia Health Authority)

Abstract

Ambulance offload delay (AOD) occurs when care of incoming ambulance patients cannot be transferred immediately from paramedics to staff in a hospital emergency department (ED). This is typically due to emergency department congestion. This problem has become a significant concern for many health care providers and has attracted the attention of many researchers and practitioners. This article reviews literature which addresses the ambulance offload delay problem. The review is organized by the following topics: improved understanding and assessment of the problem, analysis of the root causes and impacts of the problem, and development and evaluation of interventions. The review found that many researchers have investigated areas of emergency department crowding and ambulance diversion; however, research focused solely on the ambulance offload delay problem is limited. Of the 137 articles reviewed, 28 articles were identified which studied the causes of ambulance offload delay, 14 articles studied its effects, and 89 articles studied proposed solutions (of which, 58 articles studied ambulance diversion and 31 articles studied other interventions). A common theme found throughout the reviewed articles was that this problem includes clinical, operational, and administrative perspectives, and therefore must be addressed in a system-wide manner to be mitigated. The most common intervention type was ambulance diversion. Yet, it yields controversial results. A number of recommendations are made with respect to future research in this area. These include conducting system-wide mitigation intervention, addressing root causes of ED crowding and access block, and providing more operations research models to evaluate AOD mitigation interventions prior implementations. In addition, measurements of AOD should be improved to assess the size and magnitude of this problem more accurately.

Suggested Citation

  • Mengyu Li & Peter Vanberkel & Alix J. E. Carter, 2019. "A review on ambulance offload delay literature," Health Care Management Science, Springer, vol. 22(4), pages 658-675, December.
  • Handle: RePEc:kap:hcarem:v:22:y:2019:i:4:d:10.1007_s10729-018-9450-x
    DOI: 10.1007/s10729-018-9450-x
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    References listed on IDEAS

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    2. Shuwan Zhu & Wenjuan Fan & Shanlin Yang & Panos M. Pardalos, 2023. "Scheduling operating rooms of multiple hospitals considering transportation and deterioration in mass-casualty incidents," Annals of Operations Research, Springer, vol. 321(1), pages 717-753, February.
    3. Dipendra S Thakuri & Roshan K Thapa & Samikshya Singh & Geha N Khanal & Resham B Khatri, 2021. "A harmful religio-cultural practice (Chhaupadi) during menstruation among adolescent girls in Nepal: Prevalence and policies for eradication," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-22, September.
    4. Chane-Haï Timothée & Vercraene Samuel & Monteiro Thibaud, 2023. "The assignment-dial-a-ride-problem," Health Care Management Science, Springer, vol. 26(4), pages 770-784, December.
    5. Li, Mengyu & Vanberkel, Peter & Zhong, Xiang, 2022. "Predicting ambulance offload delay using a hybrid decision tree model," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    6. Najiya Fatma & Varun Ramamohan, 2023. "Patient diversion using real-time delay predictions across healthcare facility networks," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(2), pages 437-476, June.

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