Geospatial disparities in federal COVID-19 test-to-treat program

American journal of preventive medicine(2022)

引用 0|浏览4
暂无评分
摘要
Background Paxlovid is authorized for the treatment of COVID-19 and must be used within the first 5 days of symptom onset. This limited window for initiating treatment makes rapid access critical. Federal Test-to-Treat programs provide tests, prescriptions, and medication in one visit[3][1]. Objective The objective of this study was to map the location of and identify disparities in access to Test-to-Treat programs in the United States (U.S.). Methods We obtained location data for public providers of Paxlovid and Test-to-Treat programs in the contiguous U.S. and examined their spatial distribution at the zip code tabulation area level. We defined zip codes as underserved if there was no Test-to-Treat program located within the zip code or within 20 miles of its boundaries. Results More than 52,000,000 people—representing 16% of the continental U.S. population—do not have access to a Test-to-Treat program in their zip code or within 20 miles. The majority of zip codes representing metropolitan areas have a Test-to-Treat program within 20 miles (77%). In contrast, only 30% of small towns and 23% of rural areas have nearby access. Zip codes with a high proportion of Hispanic and Black residents were likely to have access to nearby Test-to-Treat programs (72%, 70%). In contrast, zip codes with a high proportion of Native American residents were likely to be underserved (70%). About half of high-poverty zip codes do not have access to a Test-to-Treat program within 20 miles. Discussion Disparities in outcomes related to COVID-19 have been apparent since the beginning of the pandemic and continue to grow. While the multi-dimensional measure of social vulnerability was used to expand the federal Test-to-Treat program, some populations remain without access. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement This study did not receive any funding ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable. Yes All data produced in the present study are available upon request to the authors [1]: #ref-3
更多
查看译文
关键词
test-to-treat
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要