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BMJ Open. 2019 Sep 30;9(9):e029708. doi: 10.1136/bmjopen-2019-029708. Using population-wide administrative and laboratory data to estimate type- and subtype-specific influenza vaccine effectiveness: a surveillance protocol.
Scott AN[SUP]1,[/SUP][SUP]2[/SUP], Buchan SA[SUP]3,[/SUP][SUP]4,[/SUP][SUP]5[/SUP], Kwong JC[SUP]3,[/SUP][SUP]4,[/SUP][SUP]5,[/SUP][SUP]6[/SUP], Drews SJ[SUP]7[/SUP], Simmonds KA[SUP]8,[/SUP][SUP]9[/SUP], Svenson LW[SUP]8,[/SUP][SUP]9,[/SUP][SUP]10,[/SUP][SUP]11[/SUP].
Author information
1 Ministry of Health, Government of Alberta, Edmonton, Alberta, Canada AScott@policywise.com. 2 Department of Public Health, Concordia University of Edmonton, Edmonton, Alberta, Canada. 3 Populations and Public Health Research Program, ICES, Toronto, Ontario, Canada. 4 Public Health Sciences, Public Health Ontario, Toronto, Ontario, Canada. 5 Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada. 6 Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada. 7 Canadian Blood Services, Edmonton, Alberta, Canada. 8 Ministry of Health, Government of Alberta, Edmonton, Alberta, Canada. 9 Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada. 10 Division of Preventive Medicine, University of Alberta, Edmonton, Alberta, Canada. 11 School of Public Health, University of Alberta, Edmonton, Alberta, Canada.
Abstract
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.
? Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
KEYWORDS:
administrative data; influenza; laboratory data; population-level; test-negative; vaccination database; vaccine effectiveness
PMID: 31575570 DOI: 10.1136/bmjopen-2019-029708
Free full text
Scott AN[SUP]1,[/SUP][SUP]2[/SUP], Buchan SA[SUP]3,[/SUP][SUP]4,[/SUP][SUP]5[/SUP], Kwong JC[SUP]3,[/SUP][SUP]4,[/SUP][SUP]5,[/SUP][SUP]6[/SUP], Drews SJ[SUP]7[/SUP], Simmonds KA[SUP]8,[/SUP][SUP]9[/SUP], Svenson LW[SUP]8,[/SUP][SUP]9,[/SUP][SUP]10,[/SUP][SUP]11[/SUP].
Author information
1 Ministry of Health, Government of Alberta, Edmonton, Alberta, Canada AScott@policywise.com. 2 Department of Public Health, Concordia University of Edmonton, Edmonton, Alberta, Canada. 3 Populations and Public Health Research Program, ICES, Toronto, Ontario, Canada. 4 Public Health Sciences, Public Health Ontario, Toronto, Ontario, Canada. 5 Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada. 6 Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada. 7 Canadian Blood Services, Edmonton, Alberta, Canada. 8 Ministry of Health, Government of Alberta, Edmonton, Alberta, Canada. 9 Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada. 10 Division of Preventive Medicine, University of Alberta, Edmonton, Alberta, Canada. 11 School of Public Health, University of Alberta, Edmonton, Alberta, Canada.
Abstract
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.
? Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
KEYWORDS:
administrative data; influenza; laboratory data; population-level; test-negative; vaccination database; vaccine effectiveness
PMID: 31575570 DOI: 10.1136/bmjopen-2019-029708
Free full text