Evidence map›Paper›PMID 32529084›Full record

ArticleHeliyon2020

Designing and evaluating an automated intravenous dosage medication calculation tool for reducing the time of stat medication administration in a pediatric emergency department.

Yara AlGoraini, Nevin Hakeem, Mohammad AlShatarat, Mohammed Abudawass, Amani Azizalrahman, Rafath Rehana, Donabel Laderas, Nina AlCazar, Ibrahim AlHarfi

Erratum issuedAbstract read
In one paragraph

Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Yara AlGorainiPediatric Department, King Fahad Medical City, Riyadh, Saudi Arabia.
Nevin HakeemPediatric Pharmacy, Children's Hospital Pharmacy, King Fahad Medical City, Riyadh, Saudi Arabia.
Mohammad AlShataratRegistered Nurse, Pediatric Emergency Department, King Fahad Medical City, Riyadh, Saudi Arabia.
Mohammed AbudawassRegistered Nurse, Pediatric Emergency Department, King Fahad Medical City, Riyadh, Saudi Arabia.
Amani AzizalrahmanConsultant Pediatric Emergency Department, King Fahad Medical City, Riyadh, Saudi Arabia.
Rafath RehanaRegistered Nurse, Pediatric Emergency Department, King Fahad Medical City, Riyadh, Saudi Arabia.
Donabel LaderasRegistered Nurse, Pediatric Emergency Department, King Fahad Medical City, Riyadh, Saudi Arabia.
Nina AlCazarRegistered Nurse, Pediatric Emergency Department, King Fahad Medical City, Riyadh, Saudi Arabia.
Ibrahim AlHarfiConsultant Pediatric Intensive Care Unit, King Fahad Medical City, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrgent medications are regularly prescribed using the term "stat", which indicates that the medication should be administered within 30 min after it is ordered. However, many hospitals struggle to reliably administer stat medications within 30 min after they are ordered. This study involved developing and evaluating an automated intravenous dosage medication calculation tool (AIVDMCT) for reducing the time between the order and administration of stat medications to children at a pediatric emergency department (PED) in Saudi Arabia.

methodsThis prospective observational study evaluated data from before (June-December 2016) and after (June-December 2017) the AIVDMCT was implemented for high-risk medications in our PED. Patients were considered eligible if they were <14 years old, weighed <40 kg, and required stat intravenous (IV) medications at the PED of our tertiary care hospital.

resultsImplementation of the AIVDMCT significantly reduce the intervals between the time of order (TO) and the time of preparation (TP) (average time: 8.05 ± 3.42 min) and between the TP and the time of administration (TA) (average time: 3.74 ± 1.70 min). Furthermore, the interval from the TO to the TA was significantly reduced after the AIVDMCT was implemented (average time: 11.79 ± 4.48 min, P < 0.001).

conclusionThe AIVDMCT was associated with a significant reduction in the interval from the TO to the TA. This increased the proportion of stat medications that were delivered within the 30-min target window.

Indexed as

Dose calculation accuracyEmergency medicineHealth sciencesIntravenous doseMedication administration errorsPatient safetyPediatricsPediatrics emergency departmentPharmacologyPublic health

Identifiers

PMID32529084
PMCPMC7283158

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Registered trials

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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.