Million Veteran Program's response to COVID-19: Survey development and preliminary findings

Autor: Stacey B, Whitbourne, Xuan-Mai T, Nguyen, Rebecca J, Song, Emily, Lord, Michelle, Lyden, Kelly M, Harrington, Rachel, Ward, Yanping, Li, Jessica V V, Brewer, Kelly M, Cho, Luc, Djousse, Sumitra, Muralidhar, Philip S, Tsao, J Michael, Gaziano, Juan P, Casas
Rok vydání: 2021
Předmět:
Zdroj: PloS one. 17(4)
ISSN: 1932-6203
Popis: In response to the novel Coronavirus Disease 2019 (COVID-19) pandemic, the Department of Veterans Affairs (VA) Million Veteran Program (MVP) organized efforts to better understand the impact of COVID-19 on Veterans by developing and deploying a self-reported survey.The MVP COVID-19 Survey was developed to collect COVID-19 specific elements including symptoms, diagnosis, hospitalization, behavioral and psychosocial factors and to augment existing MVP data with longitudinal collection of key domains in physical and mental health. Due to the rapidly evolving nature of the pandemic, a multipronged strategy was implemented to widely disseminate the COVID-19 Survey and capture data using both the online platform and mailings.We limited the findings of this paper to the initial phase of survey dissemination which began in May 2020. A total of 729,625 eligible MVP Veterans were invited to complete version 1 of the COVID-19 Survey. As of October 31, 2020, 58,159 surveys have been returned. The mean and standard deviation (SD) age of responders was 71 (11) years, 8.6% were female, 8.2% were Black, 5.6% were Hispanic, and 446 (0.8%) self-reported a COVID-19 diagnosis. Over 90% of responders reported wearing masks, practicing social distancing, and frequent hand washing.The MVP COVID-19 Survey provides a systematic collection of data regarding COVID-19 behaviors among Veterans and represents one of the first large-scale, national surveillance efforts of COVID-19 in the Veteran population. Continued work will examine the overall response to the survey with comparison to available VA health record data.
Databáze: OpenAIRE