Safe Transport Algorithm and TRIPS in Neonatal Transport

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.

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Key information

Conditions

Neonatal Nursing Newborn Transportation of Patients

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

İzmir Katip Çelebi University

Izmir, ÇİĞLİ, 35620, Turkey (Türkiye)

About this study

The following hypotheses were tested within the scope of the research:

H1: Using structured educational interventions that include the "Safe Transport Algorithm" increases the knowledge level of neonatal nurses and physicians regarding neonatal transport.

H2: Using structured educational interventions that include the "Transport Physiological Stability Risk Index (TRIPS)" increases the knowledge level of neonatal nurses and physicians regarding neonatal transport.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

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

Exclusion criteria

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

Treatment and study plan

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.

Primary outcomes

Knowledge Level Assessment Form on Neonatal Transport Form

Time frame: 1 month

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.

Sponsors and collaborators

Lead sponsor

Beste Ozguven Oztornaci

Other

Collaborators

Izmir Katip Celebi University

Registry information

Official study title

Improving Neonatal Transport Knowledge of Neonatal Intensive Care Unit Nurses and Physicians Using a Safe Transport Algorithm and Physiological Stability Transport Risk Index: A Quasi-experimental Study

Acronym: TRIPS

Important dates

Study start: 2022
Primary completion: 2023
Study completion: 2024
First posted: Jan 30, 2026
Registry last updated: Jan 30, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed