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临床试验/NCT02403739
NCT02403739已完成不适用

Visual Interpretation of Neonatal Growth Charts: A Comparison of Z-score Charts and Traditional Charts

University of California, Davis1 个研究点 分布在 1 个国家目标入组 50 人开始时间: 2015年3月最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
50
试验地点
1
主要终点
Correct answers

研究概览

简要总结

Simulated growth data will be shown to clinicians in two formats - (1) as weight vs.age charts, (2) as weight Z-score vs. age charts. Clinicians will be asked to identify whether growth is too fast, too slow, or normal. The test will take a total of 10 minutes.

详细描述

BACKGROUND Optimization of growth is essential for preterm infants. Optimum post-natal growth has been shown to improve long-term developmental outcomes. Close monitoring of weight gain, including early identification of growth faltering, is an important part of appropriate nutritional management in the Neonatal Intensive Care Unit.

Current practices in neonatal intensive care units involve the routine use of growth charts to track and identify patterns in the growth of preterm infants. Perhaps the most popular growth chart in use today is the Fenton Growth Chart. To interpret this chart, a patient's growth curve is plotted over a set of standard curves (typically representing the 10th, 25th, 50th, 75th and 90th weight-for-age centile). The curves are then visually compared to identify patterns in growth (adequate, slow, or catch-up growth). Patterns in neonatal growth may be subtle and current growth curves may be prone to misinterpretation. This may be due to biases inherent in the human visual perception system, including the difficulty in visually estimating slopes and angles between two curves.

An improved growth chart would use horizontal lines rather than curves, and would have no oblique lines to skew visual perception. Z-score growth charts accomplish this. Z-score growth charts are created using the same standardized data used to create the Fenton Growth Chart. Z-scores represent standard deviation scores. Rather than using a set of standard curves to represent average healthy growth, the z-score chart uses a single horizontal line. This allows for easier comparison when plotting a patient's weights over time. Such charts may lead to more accurate interpretation of overall growth patterns.

This study will compares the accuracy of interpretation of the growth data using the same standard - once as presented using traditional weight-vs.-age charts, and again using the same data displayed as Z-score vs age charts.

INCLUSION AND EXCLUSION CRITERIA

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Cross Sectional

入排标准

性别
All
接受健康志愿者

入选标准

  • It will include UC Davis Medical Center healthcare personnel who interpret growth charts for preterm infants. This may include the following:
  • Attending Neonatologists
  • Attending Pediatricians
  • Dietitians
  • Medical Students
  • Neonatal Fellows
  • Neonatal Nurse Practitioners
  • Pediatric Residents This study will exclude persons who do not routinely interpret growth charts for preterm infants as part of their clinical responsibilities.

排除标准

  • 未提供

结局指标

主要结局

Correct answers

时间窗: Baseline

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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