Evidence map›Paper›PMID 38328469›Full record

ReviewRisk management and healthcare policy2024

Managing High Frequency of Ambulance Calls in Hospitals: A Systematic Review.

Abdullah Alruwaili, Ahmed Alanazy, Turki M Alanazi, Nowaf Alobaidi, Ahmad Saleh Almamary, Bandar M Faqihi, Fahad H Al Enazi, Rayan Siraj, Yasir Almukhlifi, Ziyad F Al Nufaiei and 1 more

Abstract readReview
In one paragraph

Review in Risk management and healthcare policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Abdullah AlruwailiCollege of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Al-Ahsa, Saudi Arabia.ORCID 0000-0001-5803-1414
Ahmed AlanazyCollege of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Al-Ahsa, Saudi Arabia.
Turki M AlanaziCollege of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Al-Ahsa, Saudi Arabia.
Nowaf AlobaidiCollege of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Al-Ahsa, Saudi Arabia.
Ahmad Saleh AlmamaryCollege of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Al-Ahsa, Saudi Arabia.
Bandar M FaqihiCollege of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Al-Ahsa, Saudi Arabia.ORCID 0000-0002-9181-1700
Fahad H Al EnaziCollege of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Al-Ahsa, Saudi Arabia.
Rayan SirajDepartment of Respiratory Therapy, College of Applied Medical Sciences, King Faisal University, Al-Hasa, Saudi Arabia.ORCID 0000-0002-4238-9419
Yasir AlmukhlifiCollege of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia.
Ziyad F Al NufaieiCollege of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia.ORCID 0000-0002-7201-7421
Maher AlsulamiCollege of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia.ORCID 0000-0001-9614-6407

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study addresses the critical issue of high-volume emergency calls in hospitals, focusing on the strain caused by frequent caller patients on ambulance services. The aim was to synthesize various management methods for handling high-frequency hospital calls. Methods: The systematic review was conducted following the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines and guided by the Cochrane Handbook for systematic reviews. Inclusion criteria encompassed studies focusing on the management of emergency departments in hospitals, exploring various medical conditions requiring ambulance attention, and reporting on the impact of a high volume of ambulance calls on hospitals. Databases including PubMed, Web of Science, and Google Scholar were searched from January 1, 2005, to May 1, 2022. The quality of included studies was assessed using the Critical Appraisal Skills Programme (CASP) Checklist. Results: Out of 2390 identified citations, 18 studies met the inclusion criteria. These studies, from 12 countries, presented diverse methods categorized into country policy-based management, modeling approaches, and general strategies. Key findings included the effectiveness of risk stratification models and community-based interventions in managing high call frequencies and improving patient care. Our review identified effective strategies such as risk stratification models and community-based interventions, which have shown significant impacts in managing high call frequencies, aligning closely with our objective. These approaches have been pivotal in reducing the burden on emergency services and improving patient care. Conclusion: The study synthesizes effective management methods for high-frequency ambulance calls, including predictive modeling and community interventions. It highlights the need for multi-faceted management strategies in different healthcare settings and underscores the importance of continued research and implementation of these methods to improve emergency service efficiency.

Indexed as

ambulance callsemergency servicessystematic review

Identifiers

PMID38328469
PMCPMC10849096

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.