TIME Impact – a new user-friendly tuberculosis (TB) model to inform TB policy decisions
Identifieur interne : 000136 ( Main/Exploration ); précédent : 000135; suivant : 000137TIME Impact – a new user-friendly tuberculosis (TB) model to inform TB policy decisions
Auteurs : R. M. G. J. Houben [Royaume-Uni] ; M. Lalli [Royaume-Uni] ; T. Sumner [Royaume-Uni] ; M. Hamilton [États-Unis] ; D. Pedrazzoli [Royaume-Uni] ; F. Bonsu [Ghana] ; P. Hippner [Afrique du Sud] ; Y. Pillay [Afrique du Sud] ; M. Kimerling [Pays-Bas] ; S. Ahmedov [États-Unis] ; C. Pretorius [États-Unis] ; R. G. White [Royaume-Uni]Source :
- BMC Medicine [ 1741-7015 ] ; 2016.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- epidemiology : South Africa, Tuberculosis.
- Health Policy, Health Resources, Humans, Models, Theoretical, Policy Making.
Abstract
Tuberculosis (TB) is the leading cause of death from infectious disease worldwide, predominantly affecting low- and middle-income countries (LMICs), where resources are limited. As such, countries need to be able to choose the most efficient interventions for their respective setting. Mathematical models can be valuable tools to inform rational policy decisions and improve resource allocation, but are often unavailable or inaccessible for LMICs, particularly in TB. We developed TIME Impact, a user-friendly TB model that enables local capacity building and strengthens country-specific policy discussions to inform support funding applications at the (sub-)national level (e.g. Ministry of Finance) or to international donors (e.g. the Global Fund to Fight AIDS, Tuberculosis and Malaria).
TIME Impact is an epidemiological transmission model nested in TIME, a set of TB modelling tools available for free download within the widely-used Spectrum software. The TIME Impact model reflects key aspects of the natural history of TB, with additional structure for HIV/ART, drug resistance, treatment history and age. TIME Impact enables national TB programmes (NTPs) and other TB policymakers to better understand their own TB epidemic, plan their response, apply for funding and evaluate the implementation of the response.
The explicit aim of TIME Impact’s user-friendly interface is to enable training of local and international TB experts towards independent use. During application of TIME Impact, close involvement of the NTPs and other local partners also builds critical understanding of the modelling methods, assumptions and limitations inherent to modelling. This is essential to generate broad country-level ownership of the modelling data inputs and results. In turn, it stimulates discussions and a review of the current evidence and assumptions, strengthening the decision-making process in general.
TIME Impact has been effectively applied in a variety of settings. In South Africa, it informed the first South African HIV and TB Investment Cases and successfully leveraged additional resources from the National Treasury at a time of austerity. In Ghana, a long-term TIME model-centred interaction with the NTP provided new insights into the local epidemiology and guided resource allocation decisions to improve impact.
The online version of this article (doi:10.1186/s12916-016-0608-4) contains supplementary material, which is available to authorized users.
Url:
DOI: 10.1186/s12916-016-0608-4
PubMed: 27012808
PubMed Central: 4806495
Affiliations:
- Afrique du Sud, Ghana, Pays-Bas, Royaume-Uni, États-Unis
- Angleterre, Connecticut, District de Columbia, Grand Londres, Région du Grand Accra
- Accra, Londres
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Le document en format XML
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M. G. J." last="Houben">R. M. G. J. Houben</name><affiliation wicri:level="1"><nlm:aff id="Aff1">TB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, Keppel Street, WC1E 7HT London, UK</nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>TB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, Keppel Street, WC1E 7HT London</wicri:regionArea><wicri:noRegion>WC1E 7HT London</wicri:noRegion></affiliation><affiliation wicri:level="3"><nlm:aff id="Aff2">Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK</nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London</wicri:regionArea><placeName><settlement type="city">Londres</settlement><region type="country">Angleterre</region><region type="région" nuts="1">Grand Londres</region></placeName></affiliation></author><author><name sortKey="Lalli, M" sort="Lalli, M" uniqKey="Lalli M" first="M." last="Lalli">M. 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Sumner</name><affiliation wicri:level="1"><nlm:aff id="Aff1">TB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, Keppel Street, WC1E 7HT London, UK</nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>TB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, Keppel Street, WC1E 7HT London</wicri:regionArea><wicri:noRegion>WC1E 7HT London</wicri:noRegion></affiliation><affiliation wicri:level="3"><nlm:aff id="Aff2">Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK</nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London</wicri:regionArea><placeName><settlement type="city">Londres</settlement><region type="country">Angleterre</region><region type="région" nuts="1">Grand Londres</region></placeName></affiliation></author><author><name sortKey="Hamilton, M" sort="Hamilton, M" uniqKey="Hamilton M" first="M." last="Hamilton">M. Hamilton</name><affiliation wicri:level="2"><nlm:aff id="Aff3">Avenir Health, Glastonbury, CT USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Connecticut</region></placeName><wicri:cityArea>Avenir Health, Glastonbury</wicri:cityArea></affiliation></author><author><name sortKey="Pedrazzoli, D" sort="Pedrazzoli, D" uniqKey="Pedrazzoli D" first="D." last="Pedrazzoli">D. Pedrazzoli</name><affiliation wicri:level="1"><nlm:aff id="Aff1">TB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, Keppel Street, WC1E 7HT London, UK</nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>TB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, Keppel Street, WC1E 7HT London</wicri:regionArea><wicri:noRegion>WC1E 7HT London</wicri:noRegion></affiliation><affiliation wicri:level="3"><nlm:aff id="Aff2">Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK</nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London</wicri:regionArea><placeName><settlement type="city">Londres</settlement><region type="country">Angleterre</region><region type="région" nuts="1">Grand Londres</region></placeName></affiliation></author><author><name sortKey="Bonsu, F" sort="Bonsu, F" uniqKey="Bonsu F" first="F." last="Bonsu">F. Bonsu</name><affiliation wicri:level="3"><nlm:aff id="Aff4">National Tuberculosis Control Programme, Ghana Health Service, Accra, Ghana</nlm:aff><country xml:lang="fr">Ghana</country><wicri:regionArea>National Tuberculosis Control Programme, Ghana Health Service, Accra</wicri:regionArea><placeName><settlement type="city">Accra</settlement><region nuts="2">Région du Grand Accra</region></placeName></affiliation></author><author><name sortKey="Hippner, P" sort="Hippner, P" uniqKey="Hippner P" first="P." last="Hippner">P. Hippner</name><affiliation wicri:level="1"><nlm:aff id="Aff5">Aurum Institute, Johannesburg, South Africa</nlm:aff><country xml:lang="fr">Afrique du Sud</country><wicri:regionArea>Aurum Institute, Johannesburg</wicri:regionArea><wicri:noRegion>Johannesburg</wicri:noRegion></affiliation></author><author><name sortKey="Pillay, Y" sort="Pillay, Y" uniqKey="Pillay Y" first="Y." last="Pillay">Y. Pillay</name><affiliation wicri:level="1"><nlm:aff id="Aff6">National Department of Health, Pretoria, South Africa</nlm:aff><country xml:lang="fr">Afrique du Sud</country><wicri:regionArea>National Department of Health, Pretoria</wicri:regionArea><wicri:noRegion>Pretoria</wicri:noRegion></affiliation></author><author><name sortKey="Kimerling, M" sort="Kimerling, M" uniqKey="Kimerling M" first="M." last="Kimerling">M. Kimerling</name><affiliation wicri:level="1"><nlm:aff id="Aff7">KNCV Tuberculosis Foundation, The Hague, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>KNCV Tuberculosis Foundation, The Hague</wicri:regionArea><wicri:noRegion>The Hague</wicri:noRegion></affiliation></author><author><name sortKey="Ahmedov, S" sort="Ahmedov, S" uniqKey="Ahmedov S" first="S." last="Ahmedov">S. Ahmedov</name><affiliation wicri:level="2"><nlm:aff id="Aff8">USAID, Washington, DC USA</nlm:aff><country>États-Unis</country><placeName><region type="state">District de Columbia</region></placeName><wicri:cityArea>USAID, Washington</wicri:cityArea></affiliation></author><author><name sortKey="Pretorius, C" sort="Pretorius, C" uniqKey="Pretorius C" first="C." last="Pretorius">C. Pretorius</name><affiliation wicri:level="2"><nlm:aff id="Aff3">Avenir Health, Glastonbury, CT USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Connecticut</region></placeName><wicri:cityArea>Avenir Health, Glastonbury</wicri:cityArea></affiliation></author><author><name sortKey="White, R G" sort="White, R G" uniqKey="White R" first="R. G." last="White">R. G. White</name><affiliation wicri:level="1"><nlm:aff id="Aff1">TB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, Keppel Street, WC1E 7HT London, UK</nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>TB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, Keppel Street, WC1E 7HT London</wicri:regionArea><wicri:noRegion>WC1E 7HT London</wicri:noRegion></affiliation><affiliation wicri:level="3"><nlm:aff id="Aff2">Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK</nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London</wicri:regionArea><placeName><settlement type="city">Londres</settlement><region type="country">Angleterre</region><region type="région" nuts="1">Grand Londres</region></placeName></affiliation></author></analytic><series><title level="j">BMC Medicine</title><idno type="eISSN">1741-7015</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Health Policy</term><term>Health Resources</term><term>Humans</term><term>Models, Theoretical</term><term>Policy Making</term><term>South Africa (epidemiology)</term><term>Tuberculosis (epidemiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Humains</term><term>Modèles théoriques</term><term>Politique de santé</term><term>Processus politique</term><term>Ressources en santé</term><term>République d'Afrique du Sud (épidémiologie)</term><term>Tuberculose (épidémiologie)</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>South Africa</term><term>Tuberculosis</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>République d'Afrique du Sud</term><term>Tuberculose</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Health Policy</term><term>Health Resources</term><term>Humans</term><term>Models, Theoretical</term><term>Policy Making</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Humains</term><term>Modèles théoriques</term><term>Politique de santé</term><term>Processus politique</term><term>Ressources en santé</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Tuberculosis (TB) is the leading cause of death from infectious disease worldwide, predominantly affecting low- and middle-income countries (LMICs), where resources are limited. As such, countries need to be able to choose the most efficient interventions for their respective setting. Mathematical models can be valuable tools to inform rational policy decisions and improve resource allocation, but are often unavailable or inaccessible for LMICs, particularly in TB. We developed TIME Impact, a user-friendly TB model that enables local capacity building and strengthens country-specific policy discussions to inform support funding applications at the (sub-)national level (e.g. Ministry of Finance) or to international donors (e.g. the Global Fund to Fight AIDS, Tuberculosis and Malaria).</p><p>TIME Impact is an epidemiological transmission model nested in TIME, a set of TB modelling tools available for free download within the widely-used Spectrum software. The TIME Impact model reflects key aspects of the natural history of TB, with additional structure for HIV/ART, drug resistance, treatment history and age. TIME Impact enables national TB programmes (NTPs) and other TB policymakers to better understand their own TB epidemic, plan their response, apply for funding and evaluate the implementation of the response.</p><p>The explicit aim of TIME Impact’s user-friendly interface is to enable training of local and international TB experts towards independent use. During application of TIME Impact, close involvement of the NTPs and other local partners also builds critical understanding of the modelling methods, assumptions and limitations inherent to modelling. This is essential to generate broad country-level ownership of the modelling data inputs and results. In turn, it stimulates discussions and a review of the current evidence and assumptions, strengthening the decision-making process in general.</p><p>TIME Impact has been effectively applied in a variety of settings. In South Africa, it informed the first South African HIV and TB Investment Cases and successfully leveraged additional resources from the National Treasury at a time of austerity. In Ghana, a long-term TIME model-centred interaction with the NTP provided new insights into the local epidemiology and guided resource allocation decisions to improve impact.</p><sec><title>Electronic supplementary material</title><p>The online version of this article (doi:10.1186/s12916-016-0608-4) contains supplementary material, which is available to authorized users.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Lonnroth, K" uniqKey="Lonnroth K">K Lonnroth</name></author><author><name sortKey="Glaziou, P" uniqKey="Glaziou P">P Glaziou</name></author><author><name sortKey="Weil, D" uniqKey="Weil D">D Weil</name></author><author><name sortKey="Floyd, K" uniqKey="Floyd K">K Floyd</name></author><author><name sortKey="Uplekar, M" uniqKey="Uplekar M">M Uplekar</name></author><author><name sortKey="Raviglione, M" uniqKey="Raviglione M">M 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White</name><name sortKey="White, R G" sort="White, R G" uniqKey="White R" first="R. G." last="White">R. G. White</name></country><country name="États-Unis"><region name="Connecticut"><name sortKey="Hamilton, M" sort="Hamilton, M" uniqKey="Hamilton M" first="M." last="Hamilton">M. Hamilton</name></region><name sortKey="Ahmedov, S" sort="Ahmedov, S" uniqKey="Ahmedov S" first="S." last="Ahmedov">S. Ahmedov</name><name sortKey="Pretorius, C" sort="Pretorius, C" uniqKey="Pretorius C" first="C." last="Pretorius">C. Pretorius</name></country><country name="Ghana"><region name="Région du Grand Accra"><name sortKey="Bonsu, F" sort="Bonsu, F" uniqKey="Bonsu F" first="F." last="Bonsu">F. Bonsu</name></region></country><country name="Afrique du Sud"><noRegion><name sortKey="Hippner, P" sort="Hippner, P" uniqKey="Hippner P" first="P." last="Hippner">P. Hippner</name></noRegion><name sortKey="Pillay, Y" sort="Pillay, Y" uniqKey="Pillay Y" first="Y." last="Pillay">Y. Pillay</name></country><country name="Pays-Bas"><noRegion><name sortKey="Kimerling, M" sort="Kimerling, M" uniqKey="Kimerling M" first="M." last="Kimerling">M. Kimerling</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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