tetano
Editor, Senior Moderator
J Public Health (Oxf). 2018 Jun 28. doi: 10.1093/pubmed/fdy108. [Epub ahead of print]
[h=1]Antiviral treatment for outpatient use during an influenza pandemic: a decision tree model of outcomes averted and cost-effectiveness.[/h] Venkatesan S[SUP]1[/SUP], Carias C[SUP]2[/SUP], Biggerstaff M[SUP]2[/SUP], Campbell AP[SUP]2[/SUP], Nguyen-Van-Tam JS[SUP]1[/SUP], Kahn E[SUP]2[/SUP], Myles PR[SUP]1[/SUP], Meltzer MI[SUP]2[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] [h=4]Background:[/h] Many countries have acquired antiviral stockpiles for pandemic influenza mitigation and a significant part of the stockpile may be focussed towards community-based treatment.
[h=4]Methods:[/h] We developed a spreadsheet-based, decision tree model to assess outcomes averted and cost-effectiveness of antiviral treatment for outpatient use from the perspective of the healthcare payer in the UK. We defined five pandemic scenarios-one based on the 2009 A(H1N1) pandemic and four hypothetical scenarios varying in measures of transmissibility and severity.
[h=4]Results:[/h] Community-based antiviral treatment was estimated to avert 14-23% of hospitalizations in an overall population of 62.28 million. Higher proportions of averted outcomes were seen in patients with high-risk conditions, when compared to non-high-risk patients. We found that antiviral treatment was cost-saving across pandemic scenarios for high-risk population groups, and cost-saving for the overall population in higher severity influenza pandemics. Antiviral effectiveness had the greatest influence on both the number of hospitalizations averted and on cost-effectiveness.
[h=4]Conclusions:[/h] This analysis shows that across pandemic scenarios, antiviral treatment can be cost-saving for population groups at high risk of influenza-related complications.
PMID: 29955851 DOI: 10.1093/pubmed/fdy108
[h=1]Antiviral treatment for outpatient use during an influenza pandemic: a decision tree model of outcomes averted and cost-effectiveness.[/h] Venkatesan S[SUP]1[/SUP], Carias C[SUP]2[/SUP], Biggerstaff M[SUP]2[/SUP], Campbell AP[SUP]2[/SUP], Nguyen-Van-Tam JS[SUP]1[/SUP], Kahn E[SUP]2[/SUP], Myles PR[SUP]1[/SUP], Meltzer MI[SUP]2[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] [h=4]Background:[/h] Many countries have acquired antiviral stockpiles for pandemic influenza mitigation and a significant part of the stockpile may be focussed towards community-based treatment.
[h=4]Methods:[/h] We developed a spreadsheet-based, decision tree model to assess outcomes averted and cost-effectiveness of antiviral treatment for outpatient use from the perspective of the healthcare payer in the UK. We defined five pandemic scenarios-one based on the 2009 A(H1N1) pandemic and four hypothetical scenarios varying in measures of transmissibility and severity.
[h=4]Results:[/h] Community-based antiviral treatment was estimated to avert 14-23% of hospitalizations in an overall population of 62.28 million. Higher proportions of averted outcomes were seen in patients with high-risk conditions, when compared to non-high-risk patients. We found that antiviral treatment was cost-saving across pandemic scenarios for high-risk population groups, and cost-saving for the overall population in higher severity influenza pandemics. Antiviral effectiveness had the greatest influence on both the number of hospitalizations averted and on cost-effectiveness.
[h=4]Conclusions:[/h] This analysis shows that across pandemic scenarios, antiviral treatment can be cost-saving for population groups at high risk of influenza-related complications.
PMID: 29955851 DOI: 10.1093/pubmed/fdy108