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Multiple imputation of missing influenza vaccination status in patients hospitalized with influenza

Abstract Number:

2358 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Poster 

Participants:

Alissa O'Halloran (1), Angelle Naquin (2), Svetlana Masalovich (3), Kameela Noah (2), Shikha Garg (2), Catherine Bozio (2)

Institutions:

(1) Centers for Disease Control and Prevention, N/A, (2) CDC, N/A, (3) N/A, N/A

Co-Author(s):

Angelle Naquin  
CDC
Svetlana Masalovich  
N/A
Kameela Noah  
CDC
Shikha Garg  
CDC
Catherine Bozio  
CDC

First Author:

Alissa O'Halloran  
Centers for Disease Control and Prevention

Presenting Author:

Alissa O'Halloran  
Centers for Disease Control and Prevention

Abstract Text:

Influenza vaccination can attenuate severe disease in hospitalized patients, but vaccination status can be inconsistently captured in the medical record or immunization registry, necessitating provider or patient interview to verify a patient's vaccination status. In the Influenza Hospitalization Surveillance Network (FluSurv-NET), vaccination status was unknown for 15-30% of patients hospitalized with laboratory-confirmed influenza in recent seasons, even after attempting patient interviews. Implementing an imputation procedure for vaccination status could be beneficial, particularly if medical records and registries continue to yield missing vaccination status, interviews yield fewer responses, or self-reported status remains less reliable. We evaluated several individual-level factors available in the medical record that could be used as predictors in a multiple imputation model using 2022-2023 FluSurv-NET data. Race/ethnicity and state of residence were each associated with having a known influenza vaccination status based on data from the medical record, registry, or interviews. Sex, race/ethnicity, the presence of underlying medical conditions, and state were each associated

Keywords:

Influenza vaccination|Multiple imputation| | | |

Sponsors:

Section on Statistics in Epidemiology

Tracks:

Miscellaneous

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