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.
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.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
100
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.
İzmir Katip Çelebi University
Izmir, ÇİĞLİ, Turkey (Türkiye)
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.
Time frame: 1 month
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