Scaling up target regimens for tuberculosis preventive treatment in Brazil and South Africa: An analysis of costs and cost-effectiveness
Shorter, safer, and cheaper tuberculosis (TB) preventive treatment (TPT) regimens will enhance uptake and effectiveness. WHO developed target product profiles describing minimum requirements and optimal targets for key attributes of novel TPT regimens. We performed a cost-effectiveness analysis addr...
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creator | Nsengiyumva, Ntwali Placide Campbell, Jonathon R Oxlade, Olivia Vesga, Juan F Lienhardt, Christian Trajman, Anete Falzon, Dennis Den Boon, Saskia Arinaminpathy, Nimalan Schwartzman, Kevin |
description | Shorter, safer, and cheaper tuberculosis (TB) preventive treatment (TPT) regimens will enhance uptake and effectiveness. WHO developed target product profiles describing minimum requirements and optimal targets for key attributes of novel TPT regimens. We performed a cost-effectiveness analysis addressing the scale-up of regimens meeting these criteria in Brazil, a setting with relatively low transmission and low HIV and rifampicin-resistant TB (RR-TB) prevalence, and South Africa, a setting with higher transmission and higher HIV and RR-TB prevalence.
We used outputs from a model simulating scale-up of TPT regimens meeting minimal and optimal criteria. We assumed that drug costs for minimal and optimal regimens were identical to 6 months of daily isoniazid (6H). The minimal regimen lasted 3 months, with 70% completion and 80% efficacy; the optimal regimen lasted 1 month, with 90% completion and 100% efficacy. Target groups were people living with HIV (PLHIV) on antiretroviral treatment and household contacts (HHCs) of identified TB patients. The status quo was 6H at 2019 coverage levels for PLHIV and HHCs. We projected TB cases and deaths, TB-associated disability-adjusted life years (DALYs), and costs (in 2020 US dollars) associated with TB from a TB services perspective from 2020 to 2035, with 3% annual discounting. We estimated the expected costs and outcomes of scaling up 6H, the minimal TPT regimen, or the optimal TPT regimen to reach all eligible PLHIV and HHCs by 2023, compared to the status quo. Maintaining current 6H coverage in Brazil (0% of HHCs and 30% of PLHIV treated) would be associated with 1.1 (95% uncertainty range [UR] 1.1-1.2) million TB cases, 123,000 (115,000-132,000) deaths, and 2.5 (2.1-3.1) million DALYs and would cost $1.1 ($1.0-$1.3) billion during 2020-2035. Expanding the 6H, minimal, or optimal regimen to 100% coverage among eligible groups would reduce DALYS by 0.5% (95% UR 1.2% reduction, 0.4% increase), 2.5% (1.8%-3.0%), and 9.0% (6.5%-11.0%), respectively, with additional costs of $107 ($95-$117) million and $51 ($41-$60) million and savings of $36 ($14-$58) million, respectively. Compared to the status quo, costs per DALY averted were $7,608 and $808 for scaling up the 6H and minimal regimens, respectively, while the optimal regimen was dominant (cost savings, reduced DALYs). In South Africa, maintaining current 6H coverage (0% of HHCs and 69% of PLHIV treated) would be associated with 3.6 (95% UR 3.0-4.3) million TB case |
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We used outputs from a model simulating scale-up of TPT regimens meeting minimal and optimal criteria. We assumed that drug costs for minimal and optimal regimens were identical to 6 months of daily isoniazid (6H). The minimal regimen lasted 3 months, with 70% completion and 80% efficacy; the optimal regimen lasted 1 month, with 90% completion and 100% efficacy. Target groups were people living with HIV (PLHIV) on antiretroviral treatment and household contacts (HHCs) of identified TB patients. The status quo was 6H at 2019 coverage levels for PLHIV and HHCs. We projected TB cases and deaths, TB-associated disability-adjusted life years (DALYs), and costs (in 2020 US dollars) associated with TB from a TB services perspective from 2020 to 2035, with 3% annual discounting. We estimated the expected costs and outcomes of scaling up 6H, the minimal TPT regimen, or the optimal TPT regimen to reach all eligible PLHIV and HHCs by 2023, compared to the status quo. Maintaining current 6H coverage in Brazil (0% of HHCs and 30% of PLHIV treated) would be associated with 1.1 (95% uncertainty range [UR] 1.1-1.2) million TB cases, 123,000 (115,000-132,000) deaths, and 2.5 (2.1-3.1) million DALYs and would cost $1.1 ($1.0-$1.3) billion during 2020-2035. Expanding the 6H, minimal, or optimal regimen to 100% coverage among eligible groups would reduce DALYS by 0.5% (95% UR 1.2% reduction, 0.4% increase), 2.5% (1.8%-3.0%), and 9.0% (6.5%-11.0%), respectively, with additional costs of $107 ($95-$117) million and $51 ($41-$60) million and savings of $36 ($14-$58) million, respectively. Compared to the status quo, costs per DALY averted were $7,608 and $808 for scaling up the 6H and minimal regimens, respectively, while the optimal regimen was dominant (cost savings, reduced DALYs). In South Africa, maintaining current 6H coverage (0% of HHCs and 69% of PLHIV treated) would be associated with 3.6 (95% UR 3.0-4.3) million TB cases, 843,000 (598,000-1,201,000) deaths, and 36.7 (19.5-58.0) million DALYs and would cost $2.5 ($1.8-$3.6) billion. Expanding coverage with the 6H, minimal, or optimal regimen would reduce DALYS by 6.9% (95% UR 4.3%-95%), 15.5% (11.8%-18.9%), and 38.0% (32.7%-43.0%), respectively, with additional costs of $79 (-$7, $151) million and $40 (-$52, $140) million and savings of $608 ($443-$832) million, respectively. Compared to the status quo, estimated costs per DALY averted were $31 and $7 for scaling up the 6H and minimal regimens, while the optimal regimen was dominant. Study limitations included the focus on 2 countries, and no explicit consideration of costs incurred before the decision to prescribe TPT.
Our findings suggest that scale-up of TPT regimens meeting minimum or optimal requirements would likely have important impacts on TB-associated outcomes and would likely be cost-effective or cost saving.</description><identifier>ISSN: 1549-1676</identifier><identifier>ISSN: 1549-1277</identifier><identifier>EISSN: 1549-1676</identifier><identifier>DOI: 10.1371/journal.pmed.1004032</identifier><identifier>PMID: 35696431</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Cost analysis ; Cost control ; Cost estimates ; Disease transmission ; Epidemiology ; HIV ; Human immunodeficiency virus ; Infections ; Isoniazid ; Medicine and Health Sciences ; Mortality ; Patients ; People and places ; Rifampin ; Scaling ; Social Sciences ; Tuberculosis</subject><ispartof>PLoS medicine, 2022-06, Vol.19 (6), p.e1004032-e1004032</ispartof><rights>2022 Nsengiyumva et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 Nsengiyumva et al 2022 Nsengiyumva et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c526t-89a5d4eaef9309dffb4c7e98b0b12ca0498b0e2abf4b10594aaa37b8dc2a3a3a3</citedby><cites>FETCH-LOGICAL-c526t-89a5d4eaef9309dffb4c7e98b0b12ca0498b0e2abf4b10594aaa37b8dc2a3a3a3</cites><orcidid>0000-0002-4000-4984 ; 0000-0003-0233-893X ; 0000-0003-1103-9587 ; 0000-0001-8798-7909 ; 0000-0002-4834-8327 ; 0000-0003-2341-2166 ; 0000-0002-3354-1159 ; 0000-0002-0412-150X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239450/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239450/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35696431$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nsengiyumva, Ntwali Placide</creatorcontrib><creatorcontrib>Campbell, Jonathon R</creatorcontrib><creatorcontrib>Oxlade, Olivia</creatorcontrib><creatorcontrib>Vesga, Juan F</creatorcontrib><creatorcontrib>Lienhardt, Christian</creatorcontrib><creatorcontrib>Trajman, Anete</creatorcontrib><creatorcontrib>Falzon, Dennis</creatorcontrib><creatorcontrib>Den Boon, Saskia</creatorcontrib><creatorcontrib>Arinaminpathy, Nimalan</creatorcontrib><creatorcontrib>Schwartzman, Kevin</creatorcontrib><title>Scaling up target regimens for tuberculosis preventive treatment in Brazil and South Africa: An analysis of costs and cost-effectiveness</title><title>PLoS medicine</title><addtitle>PLoS Med</addtitle><description>Shorter, safer, and cheaper tuberculosis (TB) preventive treatment (TPT) regimens will enhance uptake and effectiveness. WHO developed target product profiles describing minimum requirements and optimal targets for key attributes of novel TPT regimens. We performed a cost-effectiveness analysis addressing the scale-up of regimens meeting these criteria in Brazil, a setting with relatively low transmission and low HIV and rifampicin-resistant TB (RR-TB) prevalence, and South Africa, a setting with higher transmission and higher HIV and RR-TB prevalence.
We used outputs from a model simulating scale-up of TPT regimens meeting minimal and optimal criteria. We assumed that drug costs for minimal and optimal regimens were identical to 6 months of daily isoniazid (6H). The minimal regimen lasted 3 months, with 70% completion and 80% efficacy; the optimal regimen lasted 1 month, with 90% completion and 100% efficacy. Target groups were people living with HIV (PLHIV) on antiretroviral treatment and household contacts (HHCs) of identified TB patients. The status quo was 6H at 2019 coverage levels for PLHIV and HHCs. We projected TB cases and deaths, TB-associated disability-adjusted life years (DALYs), and costs (in 2020 US dollars) associated with TB from a TB services perspective from 2020 to 2035, with 3% annual discounting. We estimated the expected costs and outcomes of scaling up 6H, the minimal TPT regimen, or the optimal TPT regimen to reach all eligible PLHIV and HHCs by 2023, compared to the status quo. Maintaining current 6H coverage in Brazil (0% of HHCs and 30% of PLHIV treated) would be associated with 1.1 (95% uncertainty range [UR] 1.1-1.2) million TB cases, 123,000 (115,000-132,000) deaths, and 2.5 (2.1-3.1) million DALYs and would cost $1.1 ($1.0-$1.3) billion during 2020-2035. Expanding the 6H, minimal, or optimal regimen to 100% coverage among eligible groups would reduce DALYS by 0.5% (95% UR 1.2% reduction, 0.4% increase), 2.5% (1.8%-3.0%), and 9.0% (6.5%-11.0%), respectively, with additional costs of $107 ($95-$117) million and $51 ($41-$60) million and savings of $36 ($14-$58) million, respectively. Compared to the status quo, costs per DALY averted were $7,608 and $808 for scaling up the 6H and minimal regimens, respectively, while the optimal regimen was dominant (cost savings, reduced DALYs). In South Africa, maintaining current 6H coverage (0% of HHCs and 69% of PLHIV treated) would be associated with 3.6 (95% UR 3.0-4.3) million TB cases, 843,000 (598,000-1,201,000) deaths, and 36.7 (19.5-58.0) million DALYs and would cost $2.5 ($1.8-$3.6) billion. Expanding coverage with the 6H, minimal, or optimal regimen would reduce DALYS by 6.9% (95% UR 4.3%-95%), 15.5% (11.8%-18.9%), and 38.0% (32.7%-43.0%), respectively, with additional costs of $79 (-$7, $151) million and $40 (-$52, $140) million and savings of $608 ($443-$832) million, respectively. Compared to the status quo, estimated costs per DALY averted were $31 and $7 for scaling up the 6H and minimal regimens, while the optimal regimen was dominant. Study limitations included the focus on 2 countries, and no explicit consideration of costs incurred before the decision to prescribe TPT.
Our findings suggest that scale-up of TPT regimens meeting minimum or optimal requirements would likely have important impacts on TB-associated outcomes and would likely be cost-effective or cost saving.</description><subject>Cost analysis</subject><subject>Cost control</subject><subject>Cost estimates</subject><subject>Disease transmission</subject><subject>Epidemiology</subject><subject>HIV</subject><subject>Human immunodeficiency virus</subject><subject>Infections</subject><subject>Isoniazid</subject><subject>Medicine and Health Sciences</subject><subject>Mortality</subject><subject>Patients</subject><subject>People and places</subject><subject>Rifampin</subject><subject>Scaling</subject><subject>Social Sciences</subject><subject>Tuberculosis</subject><issn>1549-1676</issn><issn>1549-1277</issn><issn>1549-1676</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNptUstu1DAUjRCIlsIfILDEppsMtmMnMYtKQ8WjUiUWhbV17VxPPcrEg-2MVL6Az27SmVYtQl746vqccx8-RfGW0QWrGvZxHcY4QL_YbrBbMEoFrfiz4phJoUpWN_XzR_FR8SqlNaVcUUVfFkeVrFUtKnZc_L2y0PthRcYtyRBXmEnEld_gkIgLkeTRYLRjH5JPZBtxh0P2OyQ5IuQJlYkfyOcIf3xPYOjIVRjzNVm66C18IsthSkJ_M5ODIzaknO5gc1Sic2hntQFTel28cNAnfHO4T4pfX7_8PP9eXv74dnG-vCyt5HUuWwWyEwjoVEVV55wRtkHVGmoYt0DFHCIH44RhVCoBAFVj2s5yqOZzUrzf626nmfRhiUnzWtGGM8XZhLjYI7oAa72NfgPxRgfw-i4R4kpDzN72qDsmqaoNc4wL0UCrRNVKVHVjmKmdk5PW2aHaaKZ_stPCIvRPRJ--DP5ar8JOK14pIekkcHoQiOH3iCnrjU8W-x4GDOPcdyNVy1vZTtAP_0D_P53Yo2wMKUV0D80wqmdj3bP0bCx9MNZEe_d4kAfSvZOqW2qrzzc</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Nsengiyumva, Ntwali Placide</creator><creator>Campbell, Jonathon R</creator><creator>Oxlade, Olivia</creator><creator>Vesga, Juan F</creator><creator>Lienhardt, Christian</creator><creator>Trajman, Anete</creator><creator>Falzon, Dennis</creator><creator>Den Boon, Saskia</creator><creator>Arinaminpathy, Nimalan</creator><creator>Schwartzman, Kevin</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><scope>CZK</scope><orcidid>https://orcid.org/0000-0002-4000-4984</orcidid><orcidid>https://orcid.org/0000-0003-0233-893X</orcidid><orcidid>https://orcid.org/0000-0003-1103-9587</orcidid><orcidid>https://orcid.org/0000-0001-8798-7909</orcidid><orcidid>https://orcid.org/0000-0002-4834-8327</orcidid><orcidid>https://orcid.org/0000-0003-2341-2166</orcidid><orcidid>https://orcid.org/0000-0002-3354-1159</orcidid><orcidid>https://orcid.org/0000-0002-0412-150X</orcidid></search><sort><creationdate>20220601</creationdate><title>Scaling up target regimens for tuberculosis preventive treatment in Brazil and South Africa: An analysis of costs and cost-effectiveness</title><author>Nsengiyumva, Ntwali Placide ; Campbell, Jonathon R ; Oxlade, Olivia ; Vesga, Juan F ; Lienhardt, Christian ; Trajman, Anete ; Falzon, Dennis ; Den Boon, Saskia ; Arinaminpathy, Nimalan ; Schwartzman, Kevin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-89a5d4eaef9309dffb4c7e98b0b12ca0498b0e2abf4b10594aaa37b8dc2a3a3a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Cost analysis</topic><topic>Cost control</topic><topic>Cost estimates</topic><topic>Disease transmission</topic><topic>Epidemiology</topic><topic>HIV</topic><topic>Human immunodeficiency virus</topic><topic>Infections</topic><topic>Isoniazid</topic><topic>Medicine and Health Sciences</topic><topic>Mortality</topic><topic>Patients</topic><topic>People and places</topic><topic>Rifampin</topic><topic>Scaling</topic><topic>Social Sciences</topic><topic>Tuberculosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nsengiyumva, Ntwali Placide</creatorcontrib><creatorcontrib>Campbell, Jonathon R</creatorcontrib><creatorcontrib>Oxlade, Olivia</creatorcontrib><creatorcontrib>Vesga, Juan F</creatorcontrib><creatorcontrib>Lienhardt, Christian</creatorcontrib><creatorcontrib>Trajman, Anete</creatorcontrib><creatorcontrib>Falzon, Dennis</creatorcontrib><creatorcontrib>Den Boon, Saskia</creatorcontrib><creatorcontrib>Arinaminpathy, Nimalan</creatorcontrib><creatorcontrib>Schwartzman, Kevin</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><collection>PLoS Medicine</collection><jtitle>PLoS medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nsengiyumva, Ntwali Placide</au><au>Campbell, Jonathon R</au><au>Oxlade, Olivia</au><au>Vesga, Juan F</au><au>Lienhardt, Christian</au><au>Trajman, Anete</au><au>Falzon, Dennis</au><au>Den Boon, Saskia</au><au>Arinaminpathy, Nimalan</au><au>Schwartzman, Kevin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Scaling up target regimens for tuberculosis preventive treatment in Brazil and South Africa: An analysis of costs and cost-effectiveness</atitle><jtitle>PLoS medicine</jtitle><addtitle>PLoS Med</addtitle><date>2022-06-01</date><risdate>2022</risdate><volume>19</volume><issue>6</issue><spage>e1004032</spage><epage>e1004032</epage><pages>e1004032-e1004032</pages><issn>1549-1676</issn><issn>1549-1277</issn><eissn>1549-1676</eissn><abstract>Shorter, safer, and cheaper tuberculosis (TB) preventive treatment (TPT) regimens will enhance uptake and effectiveness. WHO developed target product profiles describing minimum requirements and optimal targets for key attributes of novel TPT regimens. We performed a cost-effectiveness analysis addressing the scale-up of regimens meeting these criteria in Brazil, a setting with relatively low transmission and low HIV and rifampicin-resistant TB (RR-TB) prevalence, and South Africa, a setting with higher transmission and higher HIV and RR-TB prevalence.
We used outputs from a model simulating scale-up of TPT regimens meeting minimal and optimal criteria. We assumed that drug costs for minimal and optimal regimens were identical to 6 months of daily isoniazid (6H). The minimal regimen lasted 3 months, with 70% completion and 80% efficacy; the optimal regimen lasted 1 month, with 90% completion and 100% efficacy. Target groups were people living with HIV (PLHIV) on antiretroviral treatment and household contacts (HHCs) of identified TB patients. The status quo was 6H at 2019 coverage levels for PLHIV and HHCs. We projected TB cases and deaths, TB-associated disability-adjusted life years (DALYs), and costs (in 2020 US dollars) associated with TB from a TB services perspective from 2020 to 2035, with 3% annual discounting. We estimated the expected costs and outcomes of scaling up 6H, the minimal TPT regimen, or the optimal TPT regimen to reach all eligible PLHIV and HHCs by 2023, compared to the status quo. Maintaining current 6H coverage in Brazil (0% of HHCs and 30% of PLHIV treated) would be associated with 1.1 (95% uncertainty range [UR] 1.1-1.2) million TB cases, 123,000 (115,000-132,000) deaths, and 2.5 (2.1-3.1) million DALYs and would cost $1.1 ($1.0-$1.3) billion during 2020-2035. Expanding the 6H, minimal, or optimal regimen to 100% coverage among eligible groups would reduce DALYS by 0.5% (95% UR 1.2% reduction, 0.4% increase), 2.5% (1.8%-3.0%), and 9.0% (6.5%-11.0%), respectively, with additional costs of $107 ($95-$117) million and $51 ($41-$60) million and savings of $36 ($14-$58) million, respectively. Compared to the status quo, costs per DALY averted were $7,608 and $808 for scaling up the 6H and minimal regimens, respectively, while the optimal regimen was dominant (cost savings, reduced DALYs). In South Africa, maintaining current 6H coverage (0% of HHCs and 69% of PLHIV treated) would be associated with 3.6 (95% UR 3.0-4.3) million TB cases, 843,000 (598,000-1,201,000) deaths, and 36.7 (19.5-58.0) million DALYs and would cost $2.5 ($1.8-$3.6) billion. Expanding coverage with the 6H, minimal, or optimal regimen would reduce DALYS by 6.9% (95% UR 4.3%-95%), 15.5% (11.8%-18.9%), and 38.0% (32.7%-43.0%), respectively, with additional costs of $79 (-$7, $151) million and $40 (-$52, $140) million and savings of $608 ($443-$832) million, respectively. Compared to the status quo, estimated costs per DALY averted were $31 and $7 for scaling up the 6H and minimal regimens, while the optimal regimen was dominant. Study limitations included the focus on 2 countries, and no explicit consideration of costs incurred before the decision to prescribe TPT.
Our findings suggest that scale-up of TPT regimens meeting minimum or optimal requirements would likely have important impacts on TB-associated outcomes and would likely be cost-effective or cost saving.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>35696431</pmid><doi>10.1371/journal.pmed.1004032</doi><orcidid>https://orcid.org/0000-0002-4000-4984</orcidid><orcidid>https://orcid.org/0000-0003-0233-893X</orcidid><orcidid>https://orcid.org/0000-0003-1103-9587</orcidid><orcidid>https://orcid.org/0000-0001-8798-7909</orcidid><orcidid>https://orcid.org/0000-0002-4834-8327</orcidid><orcidid>https://orcid.org/0000-0003-2341-2166</orcidid><orcidid>https://orcid.org/0000-0002-3354-1159</orcidid><orcidid>https://orcid.org/0000-0002-0412-150X</orcidid><oa>free_for_read</oa></addata></record> |
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identifier | ISSN: 1549-1676 |
ispartof | PLoS medicine, 2022-06, Vol.19 (6), p.e1004032-e1004032 |
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language | eng |
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source | DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Public Library of Science (PLoS) |
subjects | Cost analysis Cost control Cost estimates Disease transmission Epidemiology HIV Human immunodeficiency virus Infections Isoniazid Medicine and Health Sciences Mortality Patients People and places Rifampin Scaling Social Sciences Tuberculosis |
title | Scaling up target regimens for tuberculosis preventive treatment in Brazil and South Africa: An analysis of costs and cost-effectiveness |
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