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临床试验/NCT02074592
NCT02074592Unknown3 期

Self Assessment Vs. Expert for Fetal Ultra Sound Biometry Images

Assistance Publique - Hôpitaux de Paris4 个研究点 分布在 1 个国家目标入组 320 人开始时间: 2012年7月最近更新:
适应症

试验速览

阶段
3 期
入组人数
320
试验地点
4
主要终点
Increase in the percentage of IMAC at 3-6 months after inclusion comparing the group with self-assessment and the group with assessment by expert.

研究概览

简要总结

To improve the quality of fetal ultrasound images, self assessment is less resource consuming than assessment by an expert reviewer, and may be as effective.

To test this hypothesis, we randomize volunteer experienced ultrasonographers into two groups.

One group assess their own images (self assessment). The other group has their images assessed by an expert. Images are audited via the internet in a standardized procedure that generates feedback with recommendation for change.

Three to 6 months later, participants are audited again. If the improvement in image quality turns to be the same in both groups, it will be likely that self assessment is indeed as effective as assessment by an expert reviewer - at least for professionals experienced in fetal ultrasound.

详细描述

Background: Audit and feedback based on image scoring by an expert improve ultrasound image quality, but is time consuming. Self assessment of ultrasound still images might be an alternative to assessment by an expert.

Objective. To compare image quality improvement following self assessment of fetal biometry images versus audit and feedback by an expert.

Methods. Study design: prospective blinded randomised controlled trial. Inclusions Doctors or midwifes experienced in the field of fetal ultrasound, are solicited by email to enrol. Volunteers upload a first set of 30 biometry images (10 cephalic, 10 abdominal and 10 femoral) obtained from 10 consecutive screening scans performed in the second or third trimester of pregnancy. Abnormal scans are excluded.

Randomization:

After uploading the first set of images, ultrasonographers are randomised with a 1:1 ratio * Arm 1: Ultrasonographers assess their own images online according to a standardized procedure. They receive an automatically generated report with detailed recommendations for change.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
盲法
Single (Outcomes Assessor)

入排标准

性别
All
接受健康志愿者

入选标准

  • 未提供

排除标准

  • 未提供

结局指标

主要结局

Increase in the percentage of IMAC at 3-6 months after inclusion comparing the group with self-assessment and the group with assessment by expert.

时间窗: 3-6 months

次要结局

  • Increase in mean images quality score at 3-6 months comparing the group with self-assessment and the group with assessment by expert(3-6 months)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (4)

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