Use of calibration to improve the precision of estimates obtained from All of Us data.

IF 4.7 2区医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of the American Medical Informatics Association Pub Date : 2024-07-09 DOI:10.1093/jamia/ocae181

Vivian Hsing-Chun Wang, Julie Holm, José A Pagán

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引用次数: 0

Abstract

Objectives: To highlight the use of calibration weighting to improve the precision of estimates obtained from All of Us data and increase the return of value to communities from the All of Us Research Program.

Materials and methods: We used All of Us (2017-2022) data and raking to obtain prevalence estimates in two examples: discrimination in medical settings (N = 41 875) and food insecurity (N = 82 266). Weights were constructed using known population proportions (age, sex, race/ethnicity, region of residence, annual household income, and home ownership) from the 2020 National Health Interview Survey.

Results: About 37% of adults experienced discrimination in a medical setting. About 20% of adults who had not seen a doctor reported being food insecure compared with 14% of adults who regularly saw a doctor.

Conclusions: Calibration using raking is cost-effective and may lead to more precise estimates when analyzing All of Us data.

查看原文本刊更多论文

利用校准提高从 "我们所有人 "数据中获得的估计值的精确度。

目标：强调校准加权的使用，以提高从 "我们所有人 "数据中获得的估计值的精确度，并增加 "我们所有人 "研究计划对社区的价值回报：我们使用 All of Us（2017-2022 年）数据和耙法获得了两个实例的流行率估计值：医疗环境中的歧视（N = 41 875）和粮食不安全（N = 82 266）。利用 2020 年全国健康访谈调查的已知人口比例（年龄、性别、种族/民族、居住地区、家庭年收入和房屋所有权）构建权重：约 37% 的成年人在医疗环境中遭受过歧视。约 20% 没有看过医生的成年人表示食物无保障，而定期看医生的成年人中这一比例为 14%：在分析 "我们所有人 "数据时，使用耙法进行校准具有成本效益，并可获得更精确的估计值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of the American Medical Informatics Association 医学-计算机：跨学科应用

CiteScore

14.50

自引率

7.80%

发文量

230

审稿时长

3-8 weeks

期刊介绍： JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.