Treatment scale-up to achieve global HCV incidence and mortality elimination targets: a cost-effectiveness model

AimsThe WHO's draft HCV elimination targets propose an 80% reduction in incidence and a 65% reduction in HCV-related deaths by 2030. We estimate the treatment scale-up required and cost-effectiveness of reaching these targets among injecting drug use (IDU)-acquired infections using Australian d...

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Veröffentlicht in:Gut 2017-08, Vol.66 (8), p.1507-1515
Hauptverfasser: Scott, Nick, McBryde, Emma S, Thompson, Alexander, Doyle, Joseph S, Hellard, Margaret E
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container_end_page 1515
container_issue 8
container_start_page 1507
container_title Gut
container_volume 66
creator Scott, Nick
McBryde, Emma S
Thompson, Alexander
Doyle, Joseph S
Hellard, Margaret E
description AimsThe WHO's draft HCV elimination targets propose an 80% reduction in incidence and a 65% reduction in HCV-related deaths by 2030. We estimate the treatment scale-up required and cost-effectiveness of reaching these targets among injecting drug use (IDU)-acquired infections using Australian disease estimates.MethodsA mathematical model of HCV transmission, liver disease progression and treatment among current and former people who inject drugs (PWID). Treatment scale-up and the most efficient allocation to priority groups (PWID or patients with advanced liver disease) were determined; total healthcare and treatment costs, quality-adjusted life years (QALYs) and incremental cost-effectiveness ratios (ICERs) compared with inaction were calculated.Results5662 (95% CI 5202 to 6901) courses per year (30/1000 IDU-acquired infections) were required, prioritised to patients with advanced liver disease, to reach the mortality target. 4725 (3278–8420) courses per year (59/1000 PWID) were required, prioritised to PWID, to reach the incidence target; this also achieved the mortality target, but to avoid clinically unacceptable HCV-related deaths an additional 5564 (1959–6917) treatments per year (30/1000 IDU-acquired infections) were required for 5 years for patients with advanced liver disease. Achieving both targets in this way cost $A4.6 ($A4.2–$A4.9) billion more than inaction, but gained 184 000 (119 000–417 000) QALYs, giving an ICER of $A25 121 ($A11 062–$A39 036) per QALY gained.ConclusionsAchieving WHO elimination targets with treatment scale-up is likely to be cost-effective, based on Australian HCV burden and demographics. Reducing incidence should be a priority to achieve both WHO elimination goals in the long-term.
doi_str_mv 10.1136/gutjnl-2016-311504
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We estimate the treatment scale-up required and cost-effectiveness of reaching these targets among injecting drug use (IDU)-acquired infections using Australian disease estimates.MethodsA mathematical model of HCV transmission, liver disease progression and treatment among current and former people who inject drugs (PWID). Treatment scale-up and the most efficient allocation to priority groups (PWID or patients with advanced liver disease) were determined; total healthcare and treatment costs, quality-adjusted life years (QALYs) and incremental cost-effectiveness ratios (ICERs) compared with inaction were calculated.Results5662 (95% CI 5202 to 6901) courses per year (30/1000 IDU-acquired infections) were required, prioritised to patients with advanced liver disease, to reach the mortality target. 4725 (3278–8420) courses per year (59/1000 PWID) were required, prioritised to PWID, to reach the incidence target; this also achieved the mortality target, but to avoid clinically unacceptable HCV-related deaths an additional 5564 (1959–6917) treatments per year (30/1000 IDU-acquired infections) were required for 5 years for patients with advanced liver disease. Achieving both targets in this way cost $A4.6 ($A4.2–$A4.9) billion more than inaction, but gained 184 000 (119 000–417 000) QALYs, giving an ICER of $A25 121 ($A11 062–$A39 036) per QALY gained.ConclusionsAchieving WHO elimination targets with treatment scale-up is likely to be cost-effective, based on Australian HCV burden and demographics. Reducing incidence should be a priority to achieve both WHO elimination goals in the long-term.</description><identifier>ISSN: 0017-5749</identifier><identifier>EISSN: 1468-3288</identifier><identifier>DOI: 10.1136/gutjnl-2016-311504</identifier><identifier>PMID: 27196586</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Australia - epidemiology ; Blood &amp; organ donations ; Cost analysis ; Cost-Benefit Analysis ; Demography ; Disease prevention ; Disease transmission ; Drugs ; Global Health ; Goals ; Harm Reduction ; Health Care Costs - statistics &amp; numerical data ; Hepatitis ; Hepatitis C - drug therapy ; Hepatitis C - economics ; Hepatitis C - epidemiology ; Hepatitis C - prevention &amp; control ; Humans ; Incidence ; Infections ; Liver ; Liver diseases ; Mathematical models ; Middle Aged ; Models, Economic ; Mortality ; Patients ; Prevalence ; Quality-Adjusted Life Years ; Substance abuse treatment ; Substance Abuse, Intravenous - epidemiology ; World Health Organization ; Young Adult</subject><ispartof>Gut, 2017-08, Vol.66 (8), p.1507-1515</ispartof><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing</rights><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.</rights><rights>Copyright: 2016 Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b369t-77c4d865b138d2e415418fb97d8fe4993953aa97d0c0707e34d94913b88386ac3</citedby><cites>FETCH-LOGICAL-b369t-77c4d865b138d2e415418fb97d8fe4993953aa97d0c0707e34d94913b88386ac3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27196586$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Scott, Nick</creatorcontrib><creatorcontrib>McBryde, Emma S</creatorcontrib><creatorcontrib>Thompson, Alexander</creatorcontrib><creatorcontrib>Doyle, Joseph S</creatorcontrib><creatorcontrib>Hellard, Margaret E</creatorcontrib><title>Treatment scale-up to achieve global HCV incidence and mortality elimination targets: a cost-effectiveness model</title><title>Gut</title><addtitle>Gut</addtitle><description>AimsThe WHO's draft HCV elimination targets propose an 80% reduction in incidence and a 65% reduction in HCV-related deaths by 2030. We estimate the treatment scale-up required and cost-effectiveness of reaching these targets among injecting drug use (IDU)-acquired infections using Australian disease estimates.MethodsA mathematical model of HCV transmission, liver disease progression and treatment among current and former people who inject drugs (PWID). Treatment scale-up and the most efficient allocation to priority groups (PWID or patients with advanced liver disease) were determined; total healthcare and treatment costs, quality-adjusted life years (QALYs) and incremental cost-effectiveness ratios (ICERs) compared with inaction were calculated.Results5662 (95% CI 5202 to 6901) courses per year (30/1000 IDU-acquired infections) were required, prioritised to patients with advanced liver disease, to reach the mortality target. 4725 (3278–8420) courses per year (59/1000 PWID) were required, prioritised to PWID, to reach the incidence target; this also achieved the mortality target, but to avoid clinically unacceptable HCV-related deaths an additional 5564 (1959–6917) treatments per year (30/1000 IDU-acquired infections) were required for 5 years for patients with advanced liver disease. Achieving both targets in this way cost $A4.6 ($A4.2–$A4.9) billion more than inaction, but gained 184 000 (119 000–417 000) QALYs, giving an ICER of $A25 121 ($A11 062–$A39 036) per QALY gained.ConclusionsAchieving WHO elimination targets with treatment scale-up is likely to be cost-effective, based on Australian HCV burden and demographics. 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McBryde, Emma S ; Thompson, Alexander ; Doyle, Joseph S ; Hellard, Margaret E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b369t-77c4d865b138d2e415418fb97d8fe4993953aa97d0c0707e34d94913b88386ac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Australia - epidemiology</topic><topic>Blood &amp; organ donations</topic><topic>Cost analysis</topic><topic>Cost-Benefit Analysis</topic><topic>Demography</topic><topic>Disease prevention</topic><topic>Disease transmission</topic><topic>Drugs</topic><topic>Global Health</topic><topic>Goals</topic><topic>Harm Reduction</topic><topic>Health Care Costs - statistics &amp; numerical data</topic><topic>Hepatitis</topic><topic>Hepatitis C - drug therapy</topic><topic>Hepatitis C - economics</topic><topic>Hepatitis C - epidemiology</topic><topic>Hepatitis C - prevention &amp; control</topic><topic>Humans</topic><topic>Incidence</topic><topic>Infections</topic><topic>Liver</topic><topic>Liver diseases</topic><topic>Mathematical models</topic><topic>Middle Aged</topic><topic>Models, Economic</topic><topic>Mortality</topic><topic>Patients</topic><topic>Prevalence</topic><topic>Quality-Adjusted Life Years</topic><topic>Substance abuse treatment</topic><topic>Substance Abuse, Intravenous - epidemiology</topic><topic>World Health Organization</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Scott, Nick</creatorcontrib><creatorcontrib>McBryde, Emma S</creatorcontrib><creatorcontrib>Thompson, Alexander</creatorcontrib><creatorcontrib>Doyle, Joseph S</creatorcontrib><creatorcontrib>Hellard, Margaret E</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Science Journals</collection><collection>ProQuest Biological Science Journals</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Gut</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Scott, Nick</au><au>McBryde, Emma S</au><au>Thompson, Alexander</au><au>Doyle, Joseph S</au><au>Hellard, Margaret E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Treatment scale-up to achieve global HCV incidence and mortality elimination targets: a cost-effectiveness model</atitle><jtitle>Gut</jtitle><addtitle>Gut</addtitle><date>2017-08</date><risdate>2017</risdate><volume>66</volume><issue>8</issue><spage>1507</spage><epage>1515</epage><pages>1507-1515</pages><issn>0017-5749</issn><eissn>1468-3288</eissn><abstract>AimsThe WHO's draft HCV elimination targets propose an 80% reduction in incidence and a 65% reduction in HCV-related deaths by 2030. We estimate the treatment scale-up required and cost-effectiveness of reaching these targets among injecting drug use (IDU)-acquired infections using Australian disease estimates.MethodsA mathematical model of HCV transmission, liver disease progression and treatment among current and former people who inject drugs (PWID). Treatment scale-up and the most efficient allocation to priority groups (PWID or patients with advanced liver disease) were determined; total healthcare and treatment costs, quality-adjusted life years (QALYs) and incremental cost-effectiveness ratios (ICERs) compared with inaction were calculated.Results5662 (95% CI 5202 to 6901) courses per year (30/1000 IDU-acquired infections) were required, prioritised to patients with advanced liver disease, to reach the mortality target. 4725 (3278–8420) courses per year (59/1000 PWID) were required, prioritised to PWID, to reach the incidence target; this also achieved the mortality target, but to avoid clinically unacceptable HCV-related deaths an additional 5564 (1959–6917) treatments per year (30/1000 IDU-acquired infections) were required for 5 years for patients with advanced liver disease. Achieving both targets in this way cost $A4.6 ($A4.2–$A4.9) billion more than inaction, but gained 184 000 (119 000–417 000) QALYs, giving an ICER of $A25 121 ($A11 062–$A39 036) per QALY gained.ConclusionsAchieving WHO elimination targets with treatment scale-up is likely to be cost-effective, based on Australian HCV burden and demographics. Reducing incidence should be a priority to achieve both WHO elimination goals in the long-term.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>27196586</pmid><doi>10.1136/gutjnl-2016-311504</doi><tpages>9</tpages></addata></record>
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subjects Adult
Aged
Aged, 80 and over
Australia - epidemiology
Blood & organ donations
Cost analysis
Cost-Benefit Analysis
Demography
Disease prevention
Disease transmission
Drugs
Global Health
Goals
Harm Reduction
Health Care Costs - statistics & numerical data
Hepatitis
Hepatitis C - drug therapy
Hepatitis C - economics
Hepatitis C - epidemiology
Hepatitis C - prevention & control
Humans
Incidence
Infections
Liver
Liver diseases
Mathematical models
Middle Aged
Models, Economic
Mortality
Patients
Prevalence
Quality-Adjusted Life Years
Substance abuse treatment
Substance Abuse, Intravenous - epidemiology
World Health Organization
Young Adult
title Treatment scale-up to achieve global HCV incidence and mortality elimination targets: a cost-effectiveness model
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