Evidence map›Paper›PMID 42103994›Full record

Trial reportEuropean journal of pediatrics2026

Design, implementation, and evaluation of an educational-interactive telenursing web application for mothers of high-risk neonates.

Raziyeh Beykmirza, Marjan Ghofrani, Elahe Rastkar Mehrabani, Arman Giv, Malihe Nasiri, Maryam Varzeshnejad

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in European journal of pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Raziyeh BeykmirzaNursing and Midwifery Care Research Center, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0002-5327-1336
Marjan GhofraniDepartment of Pediatric Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0003-4148-9714
Elahe Rastkar MehrabaniClinical Research Development Center, Mahdiyeh Educational Hospital, Shahid Beheshti University of Medical Science, Tehran, Iran.ORCID http://orcid.org/0009-0001-3632-6569
Arman GivDepartment of Computer Science, Yadegar-e-Imam Khomeini (RAH), Shahre Rey Branch, Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0009-0007-2437-492X
Malihe NasiriDepartment of Basic Sciences, School of Nursing and Midwifery, Department of Basic Sciences, School of Nursing and Midwifery, Tehran, Iran.ORCID http://orcid.org/0000-0003-1496-7442
Maryam VarzeshnejadDepartment of Pediatric Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran. m.varzeshnejad@gmail.com.ORCID http://orcid.org/0000-0002-1016-248X

Funding

Tehran University of Medical Sciences 70592
6 · The paper itself

Abstract

The transition of high-risk neonates from the neonatal intensive care unit (NICU) to home remains a complex process, often hindered by inadequate and fragmented discharge education. This study aimed to develop, implement, and evaluate an interactive telenursing web application designed to enhance discharge education for mothers of high-risk neonates. A multi-method study with a three-phase approach (design, implementation, and evaluation) was conducted to develop and assess a bilingual telenursing web application. The application was developed using the waterfall model. Implementation and evaluation phase in this study was conducted as a quasi-experimental study, involving 60 mothers of high-risk neonates. These mothers were randomly assigned to either an intervention group (N = 30), which received interactive, multimedia-based discharge education via the web application, or a control group (N = 30) that received standard discharge education. Maternal knowledge and user satisfaction were the primary outcome measures. The findings are structured into two distinct components: (1) web application design and (2) implementation, and its evaluation. This application was designed as a bilingual (Persian/English) platform. Its various components include the following: A- Login Page (this web application has three user roles: Mother, nurse, and Supervisor (Editor)), B- Home Page, C- Educational Icons Page, D- multiple questions to assess mothers' understanding of the educational content. E- Nurses' Page, F-Messages Page. Evaluation of the Intervention on maternal knowledge showed that the mean knowledge score in the intervention group was significantly higher than in the control group (p = 0.008). User Satisfaction and Usability questionnaire results showed that the overall mean satisfaction score was 3.90 ± 0.77 out of 5. The highest-scoring domain was Information Quality (Mean ± SD = 4.13 ± 0.63), followed by Aesthetics (Mean ± SD = 3.96 ± 0.66) and Functionality (Mean ± SD = 3.90 ± 0.84). The lowest-rated domain was Subjective Quality (Mean ± SD = 3.63 ± 0.73). Conclusion: The findings indicate that the bilingual, competency-driven bilingual telenursing web application is an effective tool for improving maternal knowledge and engagement in post-NICU care. The platform's features, including real-time nurse-mother communication and adaptive learning modalities, facilitate better discharge preparedness and may contribute to reduced emergency healthcare utilization. Future research should explore integration with electronic health record systems to enable personalized and continuous care pathways.

Indexed as

InternetMothersPatient DischargePatient Education as TopicAdultFemaleHealth Knowledge, Attitudes, PracticeHumansInfant, NewbornIntensive Care Units, NeonatalHealth informaticsHigh-risk neonatesNICU, NICUdischargeParental educationTele-nursing

Identifiers

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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.