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来源类型 | Publication |
来源ID | DRC Brief 2015-05 |
Using American Community Survey Disability Data to Improve the Behavioral Risk Factor Surveillance System Accuracy | |
Jack Gettens; Pei-Pei Lei; and Alexis D. Henry | |
发表日期 | 2015-09-30 |
出版者 | Washington, DC: Disability Research Consortium |
出版年 | 2015 |
语种 | 英语 |
概述 | Starting in 2013, the Behavioral Risk Factor Surveillance System (BRFSS) included five of the six disability questions that are now common across national surveys including the American Community Survey (ACS).", |
摘要 | Starting in 2013, the Behavioral Risk Factor Surveillance System (BRFSS) included five of the six disability questions that are now common across national surveys including the American Community Survey (ACS). The common disability questions will potentially facilitate new disability research; however, the BRFSS disability prevalence estimates based on the new disability questions are substantially higher than the ACS-based estimates. We assessed possible explanations for the differences. We find that BRFSS sampling and nonresponse bias is the most likely explanation for the differences between the ACS and BRFSS estimates. To reduce the BRFSS sampling and nonresponse bias associated with the disability questions and to increase the accuracy of disability prevalence estimates, we re-weight the Massachusetts BRFSS data. We find that the re-weighting methodology is a viable alternative to the current BRFSS weighting methodology. Importantly, the re-weighing changes BRFSS population and subpopulation estimates compared to estimates based on the original weights, for example population estimates for the prevalence of diabetes, asthma, and smoking are lower with the re-weighted data. This is expected because the re-weighting decreased the disability prevalence estimates and persons with disabilities, on average, have a higher prevalence of diabetes, asthma and smoking compared to persons without disabilities. |
URL | https://www.mathematica.org/our-publications-and-findings/publications/using-american-community-survey-disability-data-to-improve-the-behavioral-risk-factor-surveillance |
来源智库 | Mathematica Policy Research (United States) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/488284 |
推荐引用方式 GB/T 7714 | Jack Gettens,Pei-Pei Lei,and Alexis D. Henry. Using American Community Survey Disability Data to Improve the Behavioral Risk Factor Surveillance System Accuracy. 2015. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
drc_data_brief_re-we(202KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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