التفاصيل البيبلوغرافية
| العنوان: |
CalScope: methodology and lessons learned for conducting a remote statewide SARS-CoV-2 seroprevalence study in California using an at-home dried blood spot collection kit and online survey. |
| المؤلفون: |
Lim, Esther1 (AUTHOR) esther.lim@cdph.ca.gov, Mehrotra, Megha L.1 (AUTHOR), Lamba, Katherine1 (AUTHOR), Kamali, Amanda1 (AUTHOR), Lai, Kristina W.1 (AUTHOR), Meza, Erika1 (AUTHOR), Bertsch-Merbach, Stephanie1 (AUTHOR), Szeto, Irvin2 (AUTHOR), Ley, Catherine3 (AUTHOR), Martin, Andrew B.2 (AUTHOR), Parsonnet, Julie3 (AUTHOR), Robinson, Peter4 (AUTHOR), Gebhart, David4 (AUTHOR), Fonseca, Noemi4 (AUTHOR), Tsai, Cheng-ting4 (AUTHOR), Seftel, David4 (AUTHOR), Nicolici, Allyx1 (AUTHOR), Melton, David1 (AUTHOR), Jain, Seema1 (AUTHOR) |
| المصدر: |
BMC Medical Research Methodology. 5/27/2024, Vol. 24 Issue 1, p1-10. 10p. |
| مصطلحات موضوعية: |
*BLOOD collection, *INTERNET surveys, *SARS-CoV-2, *COVID-19, *HEALTH boards |
| مصطلحات جغرافية: |
CALIFORNIA |
| مستخلص: |
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. [ABSTRACT FROM AUTHOR] |
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