Informing patients that they are at high risk for serious complications of viral infection increases vaccination rates.

ABSTRACT: For many vaccine-preventable diseases like influenza, vaccination rates are lower than optimal to achieve community protection. Those at high risk for infection and serious complications are especially advised to be vaccinated to protect themselves. Using influenza as a model, we studied one method of increasing vaccine uptake: informing high-risk patients, identified by a machine learning model, about their risk status. Patients (N=39,717) were evenly randomized to (1) a control condition (exposure only to standard direct mail or patient portal vaccine promotion efforts) or to be told via direct mail, patient portal, and/or SMS that they were (2) at high risk for influenza and its complications if not vaccinated; (3) at high risk according to a review of their medical records; or (4) at h

SUBMITTER: Shermohammed M 

PROVIDER: S-EPMC7924279 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature