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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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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fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1826679243</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1917815619</sourcerecordid><originalsourceid>FETCH-LOGICAL-b369t-77c4d865b138d2e415418fb97d8fe4993953aa97d0c0707e34d94913b88386ac3</originalsourceid><addsrcrecordid>eNqNkU1rFTEUhoMo9lr9Ay4k4MZNbM4kkw93cqlWKHTTdhsymTPXXDKZ6yRT6L93ylQXrlwdXnjelwMPIe-BfwYQ6uKw1GNOrOGgmABouXxBdiCVYaIx5iXZcQ6atVraM_KmlCPn3BgLr8lZo8Gq1qgdOd3O6OuIudISfEK2nGidqA8_Iz4gPaSp84le7e9pzCH2mANSn3s6TnP1KdZHiimOMfsap0yrnw9YyxfqaZhKZTgMGGp8wIylrJ0e01vyavCp4Lvne07uvl3e7q_Y9c33H_uv16wTylamdZC9UW0HwvQNSmglmKGzujcDSmuFbYX3a-SBa65RyN5KC6IzRhjlgzgnn7bd0zz9WrBUN8YSMCWfcVqKA9MopW0jxYp-_Ac9Tsuc1-8cWNAGWgV2pZqNCvNUyoyDO81x9POjA-6efLjNh3vy4TYfa-nD8_TSjdj_rfwRsAJsA7rx-D-DvwHGs5Xc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1917815619</pqid></control><display><type>article</type><title>Treatment scale-up to achieve global HCV incidence and mortality elimination targets: a cost-effectiveness model</title><source>MEDLINE</source><source>PubMed Central</source><creator>Scott, Nick ; McBryde, Emma S ; Thompson, Alexander ; Doyle, Joseph S ; Hellard, Margaret E</creator><creatorcontrib>Scott, Nick ; McBryde, Emma S ; Thompson, Alexander ; Doyle, Joseph S ; Hellard, Margaret E</creatorcontrib><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.</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 & 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</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. Reducing incidence should be a priority to achieve both WHO elimination goals in the long-term.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Australia - epidemiology</subject><subject>Blood & organ donations</subject><subject>Cost analysis</subject><subject>Cost-Benefit Analysis</subject><subject>Demography</subject><subject>Disease prevention</subject><subject>Disease transmission</subject><subject>Drugs</subject><subject>Global Health</subject><subject>Goals</subject><subject>Harm Reduction</subject><subject>Health Care Costs - statistics & numerical data</subject><subject>Hepatitis</subject><subject>Hepatitis C - drug therapy</subject><subject>Hepatitis C - economics</subject><subject>Hepatitis C - epidemiology</subject><subject>Hepatitis C - prevention & control</subject><subject>Humans</subject><subject>Incidence</subject><subject>Infections</subject><subject>Liver</subject><subject>Liver diseases</subject><subject>Mathematical models</subject><subject>Middle Aged</subject><subject>Models, Economic</subject><subject>Mortality</subject><subject>Patients</subject><subject>Prevalence</subject><subject>Quality-Adjusted Life Years</subject><subject>Substance abuse treatment</subject><subject>Substance Abuse, Intravenous - epidemiology</subject><subject>World Health Organization</subject><subject>Young Adult</subject><issn>0017-5749</issn><issn>1468-3288</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkU1rFTEUhoMo9lr9Ay4k4MZNbM4kkw93cqlWKHTTdhsymTPXXDKZ6yRT6L93ylQXrlwdXnjelwMPIe-BfwYQ6uKw1GNOrOGgmABouXxBdiCVYaIx5iXZcQ6atVraM_KmlCPn3BgLr8lZo8Gq1qgdOd3O6OuIudISfEK2nGidqA8_Iz4gPaSp84le7e9pzCH2mANSn3s6TnP1KdZHiimOMfsap0yrnw9YyxfqaZhKZTgMGGp8wIylrJ0e01vyavCp4Lvne07uvl3e7q_Y9c33H_uv16wTylamdZC9UW0HwvQNSmglmKGzujcDSmuFbYX3a-SBa65RyN5KC6IzRhjlgzgnn7bd0zz9WrBUN8YSMCWfcVqKA9MopW0jxYp-_Ac9Tsuc1-8cWNAGWgV2pZqNCvNUyoyDO81x9POjA-6efLjNh3vy4TYfa-nD8_TSjdj_rfwRsAJsA7rx-D-DvwHGs5Xc</recordid><startdate>201708</startdate><enddate>201708</enddate><creator>Scott, Nick</creator><creator>McBryde, Emma S</creator><creator>Thompson, Alexander</creator><creator>Doyle, Joseph S</creator><creator>Hellard, Margaret E</creator><general>BMJ Publishing Group LTD</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>201708</creationdate><title>Treatment scale-up to achieve global HCV incidence and mortality elimination targets: a cost-effectiveness model</title><author>Scott, Nick ; 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 & 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 & 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 & 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 & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & 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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