Development and Validation of a Clinical Prediction Tool for Seasonal Influenza Vaccination in England.

ABSTRACT:

Importance

Timely identification of patients likely to miss seasonal influenza vaccination (SIV) could help health care practitioners tailor services and gain efficiency.

Objective

To develop and validate a predictive model of SIV uptake among at-risk adults.

Design, setting, and participants

This prognostic study constructed a prediction model for vaccine uptake by adults at increased risk of influenza-associated complications. Drawing from the Clinical Practice Research Datalink database's records of primary care data of 324 284 adults routinely collected at general practices across England from January 2011 to December 2016, logistic regression models were trained on data from patients registered from January 2012 to December 2013 and validated with out-of-sample d

SUBMITTER: Loiacono MM 

PROVIDER: S-EPMC7324952 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature