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临床试验/NCT07379619
NCT07379619已完成不适用

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

Beste Ozguven Oztornaci1 个研究点 分布在 1 个国家目标入组 100 人开始时间: 2022年6月1日最近更新:
干预措施

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
100
试验地点
1
主要终点
Knowledge Level Assessment Form on Neonatal Transport Form

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Basic Science
盲法
None

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

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

排除标准

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

研究组 & 干预措施

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".

干预措施: 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)

结局指标

主要结局

Knowledge Level Assessment Form on Neonatal Transport Form

时间窗: 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.

次要结局

未报告次要终点

研究者

发起方
Beste Ozguven Oztornaci
申办方类型
Other
责任方
Sponsor Investigator
主要研究者

Beste Ozguven Oztornaci

Assist. Prof. Dr.

Izmir Katip Celebi University

研究点 (1)

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