RT Journal Article SR Electronic T1 Using population-wide administrative and laboratory data to estimate type- and subtype-specific influenza vaccine effectiveness: a surveillance protocol JF BMJ Open JO BMJ Open FD British Medical Journal Publishing Group SP e029708 DO 10.1136/bmjopen-2019-029708 VO 9 IS 9 A1 Allison Nicole Scott A1 Sarah A Buchan A1 Jeffrey C Kwong A1 Steven J Drews A1 Kimberley A Simmonds A1 Lawrence W Svenson YR 2019 UL http://bmjopen.bmj.com/content/9/9/e029708.abstract AB Introduction The appropriateness of using routinely collected laboratory data combined with administrative data for estimating influenza vaccine effectiveness (VE) is still being explored. This paper outlines a protocol to estimate influenza VE using linked laboratory and administrative data which could act as a companion to estimates derived from other methods.Methods and analysis We will use the test-negative design to estimate VE for each influenza type/subtype and season. Province-wide individual-level records of positive and negative influenza tests at the Provincial Laboratory for Public Health in Alberta will be linked, by unique personal health numbers, to administrative databases and vaccination records held at the Ministry of Health in Alberta to determine covariates and influenza vaccination status, respectively. Covariates of interests include age, sex, immunocompromising chronic conditions and healthcare setting. Cases will be defined based on an individual’s first positive influenza test during the season, and potential controls will be defined based on an individual’s first negative influenza test during the season. One control for each case will be randomly selected based on the week the specimen was collected. We will estimate VE using multivariable logistic regression.Ethics and dissemination Ethics approval was obtained from the University of Alberta’s Health Research Ethics Board—Health Panel under study ID Pro00075997. Results will be disseminated by public health officials in Alberta.