首页> 美国卫生研究院文献>BMJ Open >The Baby Moves prospective cohort study protocol: using a smartphone application with the General Movements Assessment to predict neurodevelopmental outcomes at age 2 years for extremely preterm or extremely low birthweight infants
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The Baby Moves prospective cohort study protocol: using a smartphone application with the General Movements Assessment to predict neurodevelopmental outcomes at age 2 years for extremely preterm or extremely low birthweight infants

机译:Baby Moves前瞻性队列研究方案:使用智能手机应用程序和General Movements Assessment预测极早产或极低出生体重婴儿在2岁时的神经发育结果

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摘要

IntroductionInfants born extremely preterm (EP; <28 weeks' gestation) and/or with extremely low birth weight (ELBW; <1000 g birth weight) are at increased risk for adverse neurodevelopmental outcomes. However, it is challenging to predict those EP/ELBW infants destined to have long-term neurodevelopmental impairments in order to target early intervention to those in most need. The General Movements Assessment (GMA) in early infancy has high predictive validity for neurodevelopmental outcomes in preterm infants. However, access to a GMA may be limited by geographical constraints and a lack of GMA-trained health professionals. Baby Moves is a smartphone application (app) developed for caregivers to video and upload their infant's general movements to be scored remotely by a certified GMA assessor. The aim of this study is to determine the predictive ability of using the GMA via the Baby Moves app for neurodevelopmental impairment in infants born EP/ELBW.
机译:引言早产(EP;小于28周妊娠)和/或出生体重极低(ELBW;出生体重<1000 g)的婴儿发生不良神经发育结果的风险增加。然而,预测那些注定患有长期神经发育障碍的EP / ELBW婴儿,以便针对最需要的人群进行早期干预,具有挑战性。婴儿早期的一般运动评估(GMA)对于早产儿的神经发育结果具有较高的预测效度。但是,获得GMA的机会可能受到地域限制和缺乏经过GMA培训的卫生专业人员的限制。 Baby Moves是一款智能手机应用程序(应用程序),用于护理人员进行视频记录并上传婴儿的总体运动,由GMA认证的评估员进行远程评分。这项研究的目的是确定通过Baby Moves应用程序使用GMA对EP / ELBW出生的婴儿的神经发育障碍的预测能力。

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