Evidence map›Paper›PMID 37853355›Full record

ArticleBMC medical informatics and decision making2023

Development, implementation, and evaluation of neonatal thermoregulation decision support web application.

Raziyeh Beykmirza, Elahe Rastkar Mehrabani, Maryam Hashemi, Maryam Mahdizade Shahri, Reza Negarandeh, Maryam Varzeshnejad

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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, top 69% of its field
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, 0 citations in OpenAlex.

  1. Trial
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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

6 authors at 4 institutions in 1 country.

Raziyeh BeykmirzaNursing and Midwifery Care Research Center, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
Elahe Rastkar MehrabaniClinical Research Development Center, Mahdiyeh Educational Hospital, Shahid Beheshti University of Medical Science, Tehran, Iran.
Maryam HashemiNursing Faculty, Jahrom University Medical Sciences, Jahrom, Iran.
Maryam Mahdizade ShahriDepartment of Pediatric Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Reza NegarandehNursing and Midwifery Care Research Center, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
Maryam VarzeshnejadDepartment of Pediatric Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran. m.varzeshnejad@gmail.com.
Iranshahr University · IRShahid Beheshti University of Medical Sciences · IRJahrom University · IRShahid Beheshti University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThermoregulation is important for all age groups, and in neonates, it is considered a crucial event to adapt to extrauterine life. Therefore, using systems that provide frequent reminders in different ways in the field of thermoregulation can help thermal stability in neonates. The present study aimed to develop, implement, and evaluate a neonatal thermoregulation decision support system (DSS) as a web application.

methodsThe present research was a multi-method study because it included the three phases of development, implementation, and evaluation of the neonatal thermoregulation decision support web application. In the system designing phase, the waterfall model is used. The second and third phases of the study, implementation, and evaluation, were conducted as a quasi-experimental study.

resultsThe results of this study were presented in two parts: the developed web application, and the results of the evaluation of the web application. The results of the statistical tests revealed that the use of the web application had a positive and significant effect on both the adjustment of the temperature of the incubator (maintaining the neutral temperature) and the maintenance of the temperature of the neonate's body (p = 0.000).

conclusionsThese results indicate that a nurse's sensitization and guidance with a neonatal thermoregulation decision support system can help to effectively neonate thermoregulation and the nurse has brought the temperature care close to the standard care based on the conditions of each neonate.

Indexed as

Body TemperatureBody Temperature RegulationHumansInfant, NewbornSoftwareDecision support systemElectronic temperature recordingNeonatesThermoregulation

Identifiers

PMID37853355
PMCPMC10585747
OpenAlexW4387743794

What OpenQuestion holds

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LicenceCC BY
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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.