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BMC Med Res Methodol ; 24(1): 120, 2024 May 27.
Article in English | MEDLINE | ID: mdl-38802749

ABSTRACT

BACKGROUND: To describe the methodology for conducting the CalScope study, a remote, population-based survey launched by the California Department of Public Health (CDPH) to estimate SARS-CoV-2 seroprevalence and understand COVID-19 disease burden in California. METHODS: Between April 2021 and August 2022, 666,857 randomly selected households were invited by mail to complete an online survey and at-home test kit for up to one adult and one child. A gift card was given for each completed survey and test kit. Multiple customized REDCap databases were used to create a data system which provided task automation and scalable data management through API integrations. Support infrastructure was developed to manage follow-up for participant questions and a communications plan was used for outreach through local partners. RESULTS: Across 3 waves, 32,671 out of 666,857 (4.9%) households registered, 6.3% by phone using an interactive voice response (IVR) system and 95.7% in English. Overall, 25,488 (78.0%) households completed surveys, while 23,396 (71.6%) households returned blood samples for testing. Support requests (n = 5,807) received through the web-based form (36.3%), by email (34.1%), and voicemail (29.7%) were mostly concerned with the test kit (31.6%), test result (26.8%), and gift card (21.3%). CONCLUSIONS: Ensuring a well-integrated and scalable data system, responsive support infrastructure for participant follow-up, and appropriate academic and local health department partnerships for study management and communication allowed for successful rollout of a large population-based survey. Remote data collection utilizing online surveys and at-home test kits can complement routine surveillance data for a state health department.


Subject(s)
COVID-19 , Dried Blood Spot Testing , SARS-CoV-2 , Humans , COVID-19/epidemiology , COVID-19/diagnosis , Seroepidemiologic Studies , California/epidemiology , SARS-CoV-2/immunology , Dried Blood Spot Testing/methods , Dried Blood Spot Testing/statistics & numerical data , Adult , Surveys and Questionnaires , Male , Female , Child , Middle Aged , Adolescent
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