权衡美国我们所有人研究计划数据与已知的人口估计,使用
Vivian Hsing-Chun Wang1, Jingwen Lei2, Tingjia Shi2
1Center for Population Health & Health Services Research, Department of Foundations of Medicine, NYU Grossman Long Island School of Medicine, Mineola, NY, USA.
Preventive medicine reports
|July 19, 2024
概括
为了提高数据的代表性,为我们所有人的研究计划生成了调查权重. 削减少了我们所有人的估计和国家健康数据之间的差异,增强了人口健康研究潜力.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 生物统计学 生物统计学
- 人口健康 人口健康
背景情况:
- 我们所有人研究计划收集来自美国多样化人口的纵向健康数据.
- 自愿参与对人口层面的健康见解的国家代表性提出了挑战.
- 开发准确的调查权重对于解决我们所有人的数据中抽样偏差至关重要.
研究的目的:
- 为我们所有人的数据集生成调查权重.
- 为了提高我们所有人的研究结果的全国代表性.
- 在人口层面上提高健康和医疗保健估计的准确性.
主要方法:
- 使用我们所有人共同的人口,健康和社会经济变量以及国家健康访谈调查 (NHIS) 开发了重量.
- 分析了100391名所有我们参与者 (18岁以上) 的样本.
- 我们所有人 (未加权和加权) 的流行率估计与NHIS加权估计进行了比较.
主要成果:
- 程序包含了诸如年龄,性别,种族/民族,收入和房屋所有权等变量.
- 在健康变量方面,采用重减小了"我们所有人"和NHIS估计之间的平均百分比差异18.89%.
- 与健康相关的流行率估计的可比性得到了显著改善.
结论:
- 削有效地提高了我们所有人的数据与国家流行率估计的可比性.
- 进一步精细化用于的变量选择可能会产生更大的可比性.
- 产生的权重对于解决"我们所有人"数据集中的代表性挑战有价值.
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