形成性研究以优化妊娠前风险查和预防 (PEARLS):研究协议
Nicole Minckas1, Alim Swarray-Deen2, Sue Fawcus3
1Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia. nicole.minckas@unimelb.edu.au.
Reproductive health
|March 25, 2025
概括
这项研究探讨了在低资源环境中实施子前风险查和人工智能超声波. 这些发现将指导PEARLS试验,通过预防子前期,改善母亲和新生儿的结果.
科学领域:
- 孕产妇健康 孕产妇健康
- 临床试验方法论 临床试验方法论
- 公共卫生干预 公共卫生干预
背景情况:
- 在全球范围内,先兆子会影响5%的怀孕,导致显著的孕产妇和新生儿死亡率.
- 早期风险查和像低剂量阿司匹林这样的预防疗法对于管理子宫前至关重要.
- 皮尔斯试验的目的是验证一种预孕风险查算法和人工智能超声波用于妊娠年龄估计.
研究的目的:
- 概述PEARLS试验的混合方法形成阶段.
- 确定挑战,并评估在加纳,肯尼亚和南非实施子前风险查,人工智能超声波和阿司匹林治疗方案的可行性.
- 为了告知试验设计和优化对资源有限的设置实施策略.
主要方法:
- 使用定性 (采访,焦点小组) 和定量 (调查) 方法.
- 让各种各样的利益相关者参与其中,包括政策制定者,卫生工作者和孕妇.
- 通过主题分析和三角分析分析数据,以确定障碍,促进者和可接受性.
主要成果:
- 形成阶段将确定影响试验实施的关键因素.
- 将收集有关AI超声波和风险查的可接受性和可行性的见解.
- 将评估对当前临床实践的理解和参与的意愿.
结论:
- 这项研究将为在资源有限的环境中实施子前查和AI超声波提供关键的见解.
- 调查结果将为PEARLS试验的成功执行和扩展提供信息.
- 这最终可以帮助减少子前期的患病率,并改善高负担地区的母亲和新生儿的结果.
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