Population-level benefits of increasing influenza vaccination uptake among Italian older adults: results from a granular panel model
- Autori: Domnich, Alexander; Orsi, Andrea; Panatto, Donatella; Ogliastro, Matilde; Barca, Alessandra; Bert, Fabrizio; Cereda, Danilo; Chironna, Maria; Costantino, Claudio; Fiacchini, Daniel; Pariani, Elena; Rizzo, Caterina; Volpe, Enrico; Icardi, Giancarlo
- Anno di pubblicazione: 2023
- Tipologia: Articolo in rivista
- OA Link: http://hdl.handle.net/10447/619583
Abstract
BackgroundThe impact of seasonal influenza vaccination (SIV) on mortality is still controversial; some studies have claimed that increasing vaccination coverage rates is beneficial, while others have found no significant association. This study aimed to construct a granular longitudinal dataset of local VCRs and assess their effect on pneumonia- and influenza-related (P & I) mortality among Italian adults aged & GE; 65 years. MethodsNUTS-3 (nomenclature of territorial units for statistics) level data on SIV coverage were collected via a survey of local data holders. Fixed- and random-effects panel regression modeling, when adjusted for potential confounders, was performed to assess the association between local SIV coverage rates and P & I mortality in older adults. ResultsA total of 1,144 local VCRs from 2003 to 2019 were ascertained. In the fully adjusted fixed-effects model, each 1% increase in vaccination coverage was associated (P < 0.001) with a 0.6% (95% CI: 0.3-0.9%) average over-time decrease in P & I mortality. With an annual average of 9,293 P & I deaths in Italy, this model suggested that 56 deaths could have been avoided each year by increasing SIV coverage by 1%. The random-effects model produced similar results. The base-case results were robust in a sensitivity analysis. ConclusionOver the last two decades, Italian jurisdictions with higher SIV uptake had, on average, fewer P & I deaths among older adults. Local policy-makers should implement effective strategies to increase SIV coverage in the Italian senior population.