ReviewHealth care management science2019
A review on ambulance offload delay literature.
Review in Health care management science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed.
- A pilot study on feasibility and hypothesis exploration: reducing on-scene length of stay of the emergency teams via ambulance dispatch teleconsultation for prehospital examination.Einstein (Sao Paulo, Brazil) · 2025Trial
- Delays in Initiating Ambulance Transport Following Emergency Patient Referral to Mulago National Referral Hospital.Cureus · 2026Article
- Overcrowding Indicators in Emergency Departments Across Countries: Scoping Review.Interactive journal of medical research · 2026Review
- Urban Environmental Determinants and Spatiotemporal Patterns of Emergency Medical Service Response to Traumatic Injuries: A Five-Year Population-Based Study.International journal of environmental research and public health · 2026Article
- Initiatives to reduce ambulance offload delays in emergency departments: a scoping review.BMC emergency medicine · 2026Article
- How are handover delays from ambulances to emergency departments being addressed in the United Kingdom? A nationwide survey of ambulance services and emergency departments.BMC emergency medicine · 2026Article
- Waiting time ambulances in the Emergency Department; a Dutch single center study (WAITED study).International journal of emergency medicine · 2025Article
- Public Recognition of Emergencies and Appropriate Ambulance Use in Riyadh: A Cross-Sectional Survey.Healthcare (Basel, Switzerland) · 2025Article
- Palliative paramedicine: An interrupted time series analysis of pre-hospital guideline efficacy.Palliative medicine · 2025Article
- Understanding EMS response times: a machine learning-based analysis.BMC medical informatics and decision making · 2025Article
- Experiences and reflections of doctors on the operations of designated clinics during the COVID-19 pandemic in Hong Kong: a qualitative study.BMC health services research · 2025Article
- Application of the Analytical Hierarchy Process in the management of private ambulance care systems in three selected European countries: a strategic decision-making framework.Frontiers in public health · 2025Article
- Patterns in California Ambulance Patient Offload Times by Local Emergency Medical Services Agency.JAMA network open · 2024Article
- Scoping review of the effectiveness of 10 high-impact initiatives (HIIs) for recovering urgent and emergency care services.BMJ open quality · 2024Article
- Improving urban emergency medical service systems through brownfield transformation in Huangshi, China.Scientific reports · 2024Article
- The Impact of the COVID-19 Outbreak on Emergency Medical Service: An Analysis of Patient Transportations and Time Intervals.Journal of Korean medical science · 2023Article
- Article
- The association between paramedic service system hospital offload time and response time.CJEM · 2023Article
- Article
- The False Economy of Seeking to Eliminate Delayed Transfers of Care: Some Lessons from Queueing Theory.Applied health economics and health policy · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
29982911What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.