Evidence map›Paper›PMID 36524959›Full record

ArticleCureus2022

Evaluation of Automated Alert and Activation of Medical Emergency Team in Head and Neck Cancer Patients Using Early Warning Score at Tertiary Level Hospital in North India.

Mohib Ahmed, Fuzail Sarwer, Gunjan, Moazzam Jawaid, Sakshi Raina, Abdullah Alnazeh

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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1citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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.

2 · The registry

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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 synthesis or guideline pooled it.

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4 · The record

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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

6 authors.

Mohib AhmedDepartment of Critical Care and Anaesthesiology, Raj Hospitals, Ranchi, IND.
Fuzail SarwerDepartment of Critical Care and Anaesthesiology, Raj Hospitals, Ranchi, IND.
GunjanDepartment of Critical Care and Anaesthesiology, Raj Hospitals, Ranchi, IND.
Moazzam JawaidDepartment of Oral Medicine, Diagnosis and Radiology, Sarjug Dental College and Hospital, Darbhanga, IND.
Sakshi RainaDepartment of Orthodontics, Dental Officer Ex-Servicemen Contributory Health Scheme (ECHS) Polyclinic, Samastipur, IND.
Abdullah AlnazehDepartment of Orthodontics, King Khalid University, Abha, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImproved patient safety for those undergoing treatment of head and neck cancers depends on prompt identification of warning indicators from severely critical patients and appropriate treatment. As a result, many hospitals all around the world have implemented quick response techniques, including medical emergency teams (MET), which have systems and personnel that are highly trained to deal with patients who are deteriorating. Nowadays, automated activation and alert programs are also being discussed.

aimTo compare the patient outcomes in two conditions: one before the application of the automated MET alert and activation program and the other after the application of the automated MET alert and an activation program was used. METHODS AND MATERIALS: There was an examination of clinical data on MET-managed patients before and after the computerized alert and activation approach was put in place. The study comprised all adult head and neck cancer patients who were treated by the MET between March 1, 2017, and December 31, 2021. The physiologic abnormalities of the patient at the moment of the MET initiation were recorded as causes for MET activation when the MET was alerted by the computerized alert, and activation system. From activation through deactivation, the MET intervention lasted. Hospital mortality served as the study's primary outcome. The duration of stay at the hospital and unscheduled ICU hospitalizations were secondary outcomes. Medical records from hospitals were examined retrospectively to get information on clinical outcomes.

resultsThe percentage of unplanned admissions in ICU was greater in the pre-implementation stage (22.34%) as compared to that in the post-implementation stage (13.56%) (p value<0.001). The duration of stay of patients at the hospital also got reduced in the post-implementation phase (13.23 ±1.47 days) as compared to the pre-implementation stage (24,76± 1.12 days) (p<0.001). The median time of derangement of activation of MET was greater in the pre-implementation stage (62 minutes) as compared to the post-implementation stage (34 minutes) (p-value <0.001). The most common complications leading to MET activation in a pre-implementation phase were neurological and respiratory complications. On the other hand, overall deterioration was the most common cause of MET activation. The mortality rate of patients in the pre-implementation stage was 36.23% as compared to 22.12% in the post-implementation stage (p<0.001).

conclusionThe hospital experienced improved clinical outcomes with the adoption of an automated alarm and activation system using a cumulative weighted scoring methodology, which significantly reduced the time from disruption to MET activation.

Indexed as

activation systemautomated alerthead and neck cancermetpatients

Identifiers

PMID36524959
PMCPMC9745102

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