Safe Transport Algorithm and TRIPS in Neonatal Transport

NCT07379619 | Completed DMC

• 1 other identifier: 22.09.2022/0379
• Study Type: interventional
• Target: 100
• Locations: 1 country
• Sites: 1

Brief Summary

Aim: Newborn babies may need to be referred to different centers to receive the care they need. It is important to improve the quality of neonatal transport to reduce infant mortality rates. This study was conducted to examine the effect of the use of transport algorithm and TRIPS (Transport Risk Index of Physiological Stability) on the knowledge level of nurses and physicians working in the neonatal intensive care unit.

Conditions

Neonatal Nursing; Transportation of Patients; Newborn

Keywords

Pediatric Nursing; Newborn; Transportation; Knowledge

Outcome Measures

Primary Outcomes (1)

• Knowledge Level Assessment Form on Neonatal Transport Form

  This form has been developed by researchers in line with the relevant literatüre. The form consists of a total of 33 items aimed at assessing the level of knowledge regarding newborn transport. Participants were asked to select one of the options "true," "false," or "I don't know" for each item. Correct answers are worth 1 point, while incorrect answers and "I don't know" responses are worth 0 points. The total possible score on the form ranges from 0 to 33. In order to evaluate the validity of the forms, the final version of the forms was determined by consulting experts. The minimum Coverage Validity Ratio (CVR) is accepted as 0.99. The 19 items with low CVR values were revised and resubmitted to the experts for approval. As a result of the final evaluation, the Content Validity Index calculated based on the CVR average of the items was found to be 1.00, and it was determined that the content validity of the form was statistically sufficient.

  1 month

Study Arms (1)

involving a total of 100 volunteer healthcare professionals, including 72 nurses and 28 physicians

EXPERIMENTAL

Pre-intervention, data were collected in two stages, before and after training, using a 33-item "Newborn Transport Knowledge Assessment Form" developed by researchers and validated based on expert opinions. As part of the intervention, a 10-step safe transport algorithm developed by researchers and validated by expert opinion, along with TRIPS, was displayed in clinical areas, and verbal training was provided to participants. Post intervention, data were collected in two stages, before and after training, using a 33-item "Newborn Transport Knowledge Assessment Form".

Behavioral: As part of the intervention, a 10-step safe transport algorithm developed by researchers and validated by expert opinion, along with TRIPS, was displayed in clinical areas, and verbal training was pro

Interventions

As part of the intervention, a 10-step safe transport algorithm developed by researchers and validated by expert opinion, along with TRIPS, was displayed in clinical areas, and verbal training was pro BEHAVIORAL

In this intervention, a 10-step safe transport algorithm developed by researchers and approved by expert opinion was used. In addition, the TRIPS index, which was not used as standard practice at the clinic where the research was conducted, began to be used as part of the intervention.

involving a total of 100 volunteer healthcare professionals, including 72 nurses and 28 physicians

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Accepting to participate voluntarly in the study and working as a nurse or physician in the neonatal intensive care unit.

You may not qualify if:

• Change in the participant's workplace during the data collection process.

Sponsors & Collaborators

• Beste Ozguven Oztornaci: lead
• Izmir Katip Celebi University: collaborator

Study Sites (1)

İzmir Katip Çelebi University

Izmir, ÇİĞLİ, 35620, Turkey (Türkiye)

Location

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: BASIC SCIENCE
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: SPONSOR INVESTIGATOR
• PI Title: Assist. Prof. Dr.

Model Details: Quasi-experimental (single-group pretest-posttest) design

Study Record Dates

• First Submitted: January 11, 2026
• First Posted: January 30, 2026
• Study Start: June 1, 2022
• Primary Completion: April 1, 2023
• Study Completion: February 8, 2024
• Last Updated: January 30, 2026

Record last verified: 2026-01

Data Sharing

• IPD Sharing: Will not share

Locations

TU (1)