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Building Capacity for Evidence-Informed Priority Setting in the Indian Health System: An International Collaborative Experience()

India’s rapid economic growth has been accompanied by slower improvements in population health. Given the need to reconcile the ambitious goal of achieving Universal Coverage with limited resources, a robust priority-setting mechanism is required to ensure that the right trade-offs are made and the...

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Autores principales: Downey, L.E., Dabak, S., Eames, J., Teerawattananon, Y., De Francesco, M., Prinja, S., Guinness, L., Bhargava, B., Rajsekar, K., Asaria, M., Rao, N.V., Selvaraju, V., Mehndiratta, A., Culyer, A., Chalkidou, K., Cluzeau, F.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772949/
https://www.ncbi.nlm.nih.gov/pubmed/33392500
http://dx.doi.org/10.1016/j.hpopen.2020.100004
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author Downey, L.E.
Dabak, S.
Eames, J.
Teerawattananon, Y.
De Francesco, M.
Prinja, S.
Guinness, L.
Bhargava, B.
Rajsekar, K.
Asaria, M.
Rao, N.V.
Selvaraju, V.
Mehndiratta, A.
Culyer, A.
Chalkidou, K.
Cluzeau, F.A.
author_facet Downey, L.E.
Dabak, S.
Eames, J.
Teerawattananon, Y.
De Francesco, M.
Prinja, S.
Guinness, L.
Bhargava, B.
Rajsekar, K.
Asaria, M.
Rao, N.V.
Selvaraju, V.
Mehndiratta, A.
Culyer, A.
Chalkidou, K.
Cluzeau, F.A.
author_sort Downey, L.E.
collection PubMed
description India’s rapid economic growth has been accompanied by slower improvements in population health. Given the need to reconcile the ambitious goal of achieving Universal Coverage with limited resources, a robust priority-setting mechanism is required to ensure that the right trade-offs are made and the impact on health is maximised. Health Technology Assessment (HTA) is endorsed by the World Health Assembly as the gold standard approach to synthesizing evidence systematically for evidence-informed priority setting (EIPS). India is formally committed to institutionalising HTA as an integral component of the EIPS process. The effective conduct and uptake of HTA depends on a well-functioning ecosystem of stakeholders adept at commissioning and generating policy-relevant HTA research, developing and utilising rigorous technical, transparent, and inclusive methods and processes, and a strong multisectoral and transnational appetite for the use of evidence to inform policy. These all require myriad complex and complementary capacities to be built at each level of the health system . In this paper we describe how a framework for targeted and locally-tailored capacity building for EIPS, and specifically HTA, was collaboratively developed and implemented by an international network of priority-setting expertise, and the Government of India.
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spelling pubmed-77729492020-12-31 Building Capacity for Evidence-Informed Priority Setting in the Indian Health System: An International Collaborative Experience() Downey, L.E. Dabak, S. Eames, J. Teerawattananon, Y. De Francesco, M. Prinja, S. Guinness, L. Bhargava, B. Rajsekar, K. Asaria, M. Rao, N.V. Selvaraju, V. Mehndiratta, A. Culyer, A. Chalkidou, K. Cluzeau, F.A. Health Policy Open Original Article India’s rapid economic growth has been accompanied by slower improvements in population health. Given the need to reconcile the ambitious goal of achieving Universal Coverage with limited resources, a robust priority-setting mechanism is required to ensure that the right trade-offs are made and the impact on health is maximised. Health Technology Assessment (HTA) is endorsed by the World Health Assembly as the gold standard approach to synthesizing evidence systematically for evidence-informed priority setting (EIPS). India is formally committed to institutionalising HTA as an integral component of the EIPS process. The effective conduct and uptake of HTA depends on a well-functioning ecosystem of stakeholders adept at commissioning and generating policy-relevant HTA research, developing and utilising rigorous technical, transparent, and inclusive methods and processes, and a strong multisectoral and transnational appetite for the use of evidence to inform policy. These all require myriad complex and complementary capacities to be built at each level of the health system . In this paper we describe how a framework for targeted and locally-tailored capacity building for EIPS, and specifically HTA, was collaboratively developed and implemented by an international network of priority-setting expertise, and the Government of India. Elsevier 2020-03-13 /pmc/articles/PMC7772949/ /pubmed/33392500 http://dx.doi.org/10.1016/j.hpopen.2020.100004 Text en © 2020 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Article
Downey, L.E.
Dabak, S.
Eames, J.
Teerawattananon, Y.
De Francesco, M.
Prinja, S.
Guinness, L.
Bhargava, B.
Rajsekar, K.
Asaria, M.
Rao, N.V.
Selvaraju, V.
Mehndiratta, A.
Culyer, A.
Chalkidou, K.
Cluzeau, F.A.
Building Capacity for Evidence-Informed Priority Setting in the Indian Health System: An International Collaborative Experience()
title Building Capacity for Evidence-Informed Priority Setting in the Indian Health System: An International Collaborative Experience()
title_full Building Capacity for Evidence-Informed Priority Setting in the Indian Health System: An International Collaborative Experience()
title_fullStr Building Capacity for Evidence-Informed Priority Setting in the Indian Health System: An International Collaborative Experience()
title_full_unstemmed Building Capacity for Evidence-Informed Priority Setting in the Indian Health System: An International Collaborative Experience()
title_short Building Capacity for Evidence-Informed Priority Setting in the Indian Health System: An International Collaborative Experience()
title_sort building capacity for evidence-informed priority setting in the indian health system: an international collaborative experience()
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772949/
https://www.ncbi.nlm.nih.gov/pubmed/33392500
http://dx.doi.org/10.1016/j.hpopen.2020.100004
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