预测能力的愿望,以避免怀孕的规模
Jennifer A Hall1, Geraldine Barrett2, Judith Stephenson2
1Reproductive Health Research Department, UCL Elizabeth Garrett Anderson Institute for Women's Health, London, UK. jennifer.hall@ucl.ac.uk.
Reproductive health
|September 25, 2023
概括
避免怀孕的愿望 (DAP) 规模有效预测怀孕的可能性. 与现有方法相比,这种新的查工具显示出更好的预测能力,有助于做出生殖健康决策.
科学领域:
- 生殖健康 生殖健康
- 医疗查工具 医疗查工具
- 心理测量 心理测量 心理测量
背景情况:
- 对于可靠的怀孕预测工具而言,生殖健康存在重大差距.
- 避免怀孕的愿望 (DAP) 尺度是评估怀孕可能性的新方法.
- 了解DAP尺度的性能对于其临床实施至关重要.
研究的目的:
- 评估DAP尺度作为怀孕查工具的敏感性,特异性和预测价值.
- 为了确定DAP尺度的预测能力在不同的社会人口统计因素和时间框架中如何变化.
主要方法:
- 一组994名非怀孕的参与者被跟踪了一年.
- 该研究评估了DAP尺度的灵敏度,特异性,AUROC,PPV和NPV在各种切割点上的特异性.
- 对预测能力进行了分析,涉及社会人口统计因素和怀孕时间 (3, 6, 9, 12 个月).
主要成果:
- 在切割点为2的DAP尺度显示灵敏度为0.78和特异性为0.81,AUROC为0.87.
- 积极预测值 (PPV) 为43%,负预测值 (NPV) 为95%.
- 基线DAP得分是最强的怀孕预测指标,独立于年龄和性别平等.
结论:
- DAP尺度是第一个用于预测怀孕概率的验证查工具.
- 它的预测性能超过了现有的方法.
- 可以将DAP尺度作为查工具,并根据特定的临床需求量身定制切割点.
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