• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

新冠疫情期间的研发调查(RANDS)

The Research and Development Survey (RANDS) during COVID-19.

作者信息

Irimata Katherine E, Scanlon Paul J

机构信息

Division of Research and Methodology, National Center for Health Statistics, 3311 Toledo Road, Hyattsville, MD 20782 USA.

出版信息

Stat J IAOS. 2022 Mar 21;38(1):13-21. doi: 10.3233/SJI-210880.

DOI:10.3233/SJI-210880
PMID:35928170
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9345600/
Abstract

The National Center for Health Statistics' (NCHS) Research and Development Survey (RANDS) is a series of commercial panel surveys collected for methodological research purposes. In response to the COVID-19 pandemic, NCHS expanded the use of RANDS to rapidly monitor aspects of the public health emergency. The RANDS during COVID-19 survey was designed to include COVID-19 related health outcome and cognitive probe questions. Rounds 1 and 2 were fielded June 9-July 6, 2020 and August 3-20, 2020 using the AmeriSpeak® Panel. Existing and new approaches were used to: 1) evaluate question interpretation and performance to improve future COVID-19 data collections and 2) to produce a set of experimental estimates for public release using weights which were calibrated to NCHS' National Health Interview Survey (NHIS) to adjust for potential bias in the panel. Through the expansion of the RANDS platform and ongoing methodological research, NCHS reported timely information about COVID-19 in the United States and demonstrated the use of recruited panels for reporting national health statistics. This report describes the use of RANDS for reporting on the pandemic and the associated methodological survey design decisions including the adaptation of question evaluation approaches and calibration of panel weights.

摘要

美国国家卫生统计中心(NCHS)的研发调查(RANDS)是一系列为方法学研究目的而开展的商业面板调查。为应对新冠疫情,NCHS扩大了RANDS的使用范围,以快速监测公共卫生紧急事件的各个方面。新冠疫情期间的RANDS调查旨在纳入与新冠疫情相关的健康结果和认知探测问题。第1轮和第2轮调查于2020年6月9日至7月6日以及2020年8月3日至20日通过美国民意调查小组(AmeriSpeak® Panel)开展。采用了现有和新的方法来:1)评估问题的解释和表现,以改进未来的新冠疫情数据收集;2)使用根据NCHS的国家健康访谈调查(NHIS)校准的权重生成一组供公开发布的实验性估计值,以调整面板中的潜在偏差。通过扩展RANDS平台和持续进行方法学研究,NCHS报告了美国有关新冠疫情的及时信息,并展示了利用招募的面板来报告国家卫生统计数据的情况。本报告描述了使用RANDS报告疫情的情况以及相关的方法学调查设计决策,包括问题评估方法的调整和面板权重的校准。

相似文献

1
The Research and Development Survey (RANDS) during COVID-19.新冠疫情期间的研发调查(RANDS)
Stat J IAOS. 2022 Mar 21;38(1):13-21. doi: 10.3233/SJI-210880.
2
Calibration Weighting Methods for the National Center for Health Statistics Research and Development Survey.美国国家卫生统计中心研究与发展调查的校准加权方法
Vital Health Stat 2. 2023 Mar(199):1-23.
3
The National Center for Health Statistics' 2015 and 2016 Research and Development Surveys.国家卫生统计中心的 2015 年和 2016 年研究与发展调查。
Vital Health Stat 1. 2020 Oct(59):1-60.
4
National Center for Health Statistics' 2019 Research and Development Survey, RANDS 3.国家卫生统计中心 2019 年研究与发展调查,RANDS 3。
Vital Health Stat 1. 2023 Sep(65):1-55.
5
Propensity-score Adjusted Estimates for Selected Health Outcomes From the Research and Development Survey.倾向评分调整估计值对研究与开发调查中选定健康结果的影响。
Vital Health Stat 1. 2022 Nov(196):1-20.
6
Comparison of Mental Health Estimates by Sociodemographic Characteristics in the Research and Development Survey 3 and the 2019 National Health Interview Survey.研究与发展调查 3 与 2019 年全国健康访谈调查中按社会人口特征分类的心理健康评估比较。
Natl Health Stat Report. 2023 Jul(188):1-11.
7
National Health Interview Survey, COVID-19, and Online Data Collection Platforms: Adaptations, Tradeoffs, and New Directions.国家健康访谈调查、COVID-19 和在线数据收集平台:适应、权衡和新方向。
Am J Public Health. 2021 Dec;111(12):2167-2175. doi: 10.2105/AJPH.2021.306516.
8
Overview and Initial Results of the National Center for Health Statistics' Research and Development Survey.国家卫生统计中心研发调查概述及初步结果
Stat J IAOS. 2020 Nov 25;36(4):1199-1211. doi: 10.3233/sji-200678.
9
Question evaluation for real-time surveys: Lessons from COVID-19 data collection.实时调查的问题评估:来自新冠疫情数据收集的经验教训。
SSM Qual Res Health. 2022 Dec;2:100164. doi: 10.1016/j.ssmqr.2022.100164. Epub 2022 Sep 7.
10
Reduced Access to Preventive Care Due to the COVID-19 Pandemic, by Chronic Disease Status and Race and Hispanic Origin, United States, 2020-2021.由于 COVID-19 大流行,美国按慢性病状况、种族和西班牙裔来源划分的预防保健机会减少,2020-2021 年。
Public Health Rep. 2023 Mar-Apr;138(2):341-348. doi: 10.1177/00333549221138855. Epub 2022 Dec 16.

引用本文的文献

1
Multiple Imputation of Missing Complex Survey Data using SAS: A Brief Overview and An Example Based on the Research and Development Survey (RANDS).使用SAS对复杂调查缺失数据进行多重填补:简要概述及基于研发调查(RANDS)的示例
Surv Stat. 2023 Jan;87:37-47.

本文引用的文献

1
Overview and Initial Results of the National Center for Health Statistics' Research and Development Survey.国家卫生统计中心研发调查概述及初步结果
Stat J IAOS. 2020 Nov 25;36(4):1199-1211. doi: 10.3233/sji-200678.
2
Comparison of Quarterly and Yearly Calibration Data for Propensity Score Adjusted Web Survey Estimates.倾向得分调整后的网络调查估计值的季度校准数据与年度校准数据比较
Surv Methods Insights Field. 2020;2020. doi: 10.13094/SMIF-2020-00018. Epub 2020 Oct 12.
3
The National Center for Health Statistics' 2015 and 2016 Research and Development Surveys.国家卫生统计中心的 2015 年和 2016 年研究与发展调查。
Vital Health Stat 1. 2020 Oct(59):1-60.
4
The Effects of Embedding Closed-ended Cognitive Probes in a Web Survey on Survey Response.在网络调查中嵌入封闭式认知探针对调查回应的影响。
Field methods. 2019 Nov;31(4):328-343. doi: 10.1177/1525822X19871546. Epub 2019 Sep 11.
5
National Center for Health Statistics Data Presentation Standards for Proportions.国家卫生统计中心比例数据呈现标准
Vital Health Stat 2. 2017 Aug(175):1-22.
6
Conducting cognitive interviews to understand question-response limitations.进行认知访谈以了解问题-回答的局限性。
Am J Health Behav. 2003 Nov-Dec;27 Suppl 3:S264-72. doi: 10.5993/ajhb.27.1.s3.10.