| Literature DB >> 35409848 |
Giovanna Elisa Calabrò1,2, Sara Boccalini3, Donatella Panatto4, Caterina Rizzo5, Maria Luisa Di Pietro1, Fasika Molla Abreha6, Marco Ajelli7, Daniela Amicizia4, Angela Bechini3, Irene Giacchetta8, Piero Luigi Lai4, Stefano Merler9, Chiara Primieri8, Filippo Trentini9,10, Sara Violi8, Paolo Bonanni3, Chiara de Waure8.
Abstract
BACKGROUND: The elderly, commonly defined as subjects aged ≥65 years, are among the at-risk subjects recommended for annual influenza vaccination in European countries. Currently, two new vaccines are available for this population: the MF59-adjuvanted quadrivalent influenza vaccine (aQIV) and the high-dose quadrivalent influenza vaccine (hdQIV). Their multidimensional assessment might maximize the results in terms of achievable health benefits. Therefore, we carried out a Health Technology Assessment (HTA) of the aQIV by adopting a multidisciplinary policy-oriented approach to evaluate clinical, economic, organizational, and ethical implications for the Italian elderly.Entities:
Keywords: HTA; Health Technology Assessment; elderly; influenza; quadrivalent adjuvanted influenza vaccine; vaccination; vaccines
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Year: 2022 PMID: 35409848 PMCID: PMC8998177 DOI: 10.3390/ijerph19074166
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Influenza burden avoided thanks to the introduction of aQIV in Italy.
Case base: cost-effectiveness comparison between base scenario (QIVe in all groups) and alternative scenario (aQIV in subjects aged ≥65 years), by study perspective and age group.
| Age Group | Total Costs, € | Incremental Cost, € | QALY | Incremental QALY, ΔQALY | ICER, €/QALY | ||
|---|---|---|---|---|---|---|---|
| Base Scenario | Alternative Scenario | Base Scenario | Alternative Scenario 1 | ||||
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| 0.5–8 | 74,022,455 | 73,743,288 | −279,167 | 15,810 | 15,748 | 62 | Dominant |
| 9–17 | 45,665,939 | 45,473,834 | −192,105 | 11,414 | 11,365 | 49 | Dominant |
| 18–64 | 168,215,572 | 166,978,400 | −1,237,172 | 50,846 | 50,407 | 439 | Dominant |
| ≥65 | 147,357,045 | 213,374,855 | 66,017,809 | 41,046 | 36,474 | 4572 | 14,441 |
| Total |
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| 0.5–8 | 104,431,875 | 104,033,764 | −398,112 | 15,810 | 15,748 | 62 | Dominant |
| 9–17 | 58,791,065 | 58,542,301 | −248,764 | 11,414 | 11,365 | 49 | Dominant |
| 18–64 | 626,765,954 | 621,568,549 | −5,197,404 | 50,846 | 50,407 | 439 | Dominant |
| ≥65 | 147,357,045 | 213,374,855 | 66,017,809 | 41,046 | 36,474 | 4572 | 14,441 |
| Total |
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Figure 2Probabilistic sensitivity analysis: base scenario (QIVe) vs. alternative scenario (aQIV in subjects aged ≥65 years), by study perspective (NHS on the left, society on the right).