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Appraising the value of evidence generation activities: an HIV modelling study

INTRODUCTION: The generation of robust evidence has been emphasised as a priority for global health. Evidence generation spans a wide range of activities including clinical trials, surveillance programmes and health system performance measurement. As resources for healthcare and research are limited...

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Autores principales: Woods, Beth, Rothery, Claire, Anderson, Sarah-Jane, Eaton, Jeffrey W, Revill, Paul, Hallett, Timothy B, Claxton, Karl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6304099/
https://www.ncbi.nlm.nih.gov/pubmed/30613422
http://dx.doi.org/10.1136/bmjgh-2017-000488
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author Woods, Beth
Rothery, Claire
Anderson, Sarah-Jane
Eaton, Jeffrey W
Revill, Paul
Hallett, Timothy B
Claxton, Karl
author_facet Woods, Beth
Rothery, Claire
Anderson, Sarah-Jane
Eaton, Jeffrey W
Revill, Paul
Hallett, Timothy B
Claxton, Karl
author_sort Woods, Beth
collection PubMed
description INTRODUCTION: The generation of robust evidence has been emphasised as a priority for global health. Evidence generation spans a wide range of activities including clinical trials, surveillance programmes and health system performance measurement. As resources for healthcare and research are limited, the desirability of research expenditure should be assessed on the same basis as other healthcare resources, that is, the health gains from research must be expected to exceed the health opportunity costs imposed as funds are diverted to research rather than service provision. METHODS: We developed a transmission and costing model to examine the impact of generating additional evidence to reduce uncertainties on the evolution of a generalised HIV epidemic in Zambia. RESULTS: We demonstrate three important points. First, we can quantify the value of additional evidence in terms of the health gain it is expected to generate. Second, we can quantify the health opportunity cost imposed by research expenditure. Third, the value of evidence generation depends on the budgetary policies in place for managing HIV resources under uncertainty. Generating evidence to reduce uncertainty is particularly valuable when decision makers are required to strictly adhere to expenditure plans and when transfers of funds across geographies/programmes are restricted. CONCLUSION: Better evidence can lead to health improvements in the same way as direct delivery of healthcare. Quantitative appraisals of evidence generation activities are important and should reflect the impact of improved evidence on population health, evidence generation costs and budgetary policies in place.
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spelling pubmed-63040992019-01-04 Appraising the value of evidence generation activities: an HIV modelling study Woods, Beth Rothery, Claire Anderson, Sarah-Jane Eaton, Jeffrey W Revill, Paul Hallett, Timothy B Claxton, Karl BMJ Glob Health Research INTRODUCTION: The generation of robust evidence has been emphasised as a priority for global health. Evidence generation spans a wide range of activities including clinical trials, surveillance programmes and health system performance measurement. As resources for healthcare and research are limited, the desirability of research expenditure should be assessed on the same basis as other healthcare resources, that is, the health gains from research must be expected to exceed the health opportunity costs imposed as funds are diverted to research rather than service provision. METHODS: We developed a transmission and costing model to examine the impact of generating additional evidence to reduce uncertainties on the evolution of a generalised HIV epidemic in Zambia. RESULTS: We demonstrate three important points. First, we can quantify the value of additional evidence in terms of the health gain it is expected to generate. Second, we can quantify the health opportunity cost imposed by research expenditure. Third, the value of evidence generation depends on the budgetary policies in place for managing HIV resources under uncertainty. Generating evidence to reduce uncertainty is particularly valuable when decision makers are required to strictly adhere to expenditure plans and when transfers of funds across geographies/programmes are restricted. CONCLUSION: Better evidence can lead to health improvements in the same way as direct delivery of healthcare. Quantitative appraisals of evidence generation activities are important and should reflect the impact of improved evidence on population health, evidence generation costs and budgetary policies in place. BMJ Publishing Group 2018-12-07 /pmc/articles/PMC6304099/ /pubmed/30613422 http://dx.doi.org/10.1136/bmjgh-2017-000488 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: http://creativecommons.org/licenses/by/4.0
spellingShingle Research
Woods, Beth
Rothery, Claire
Anderson, Sarah-Jane
Eaton, Jeffrey W
Revill, Paul
Hallett, Timothy B
Claxton, Karl
Appraising the value of evidence generation activities: an HIV modelling study
title Appraising the value of evidence generation activities: an HIV modelling study
title_full Appraising the value of evidence generation activities: an HIV modelling study
title_fullStr Appraising the value of evidence generation activities: an HIV modelling study
title_full_unstemmed Appraising the value of evidence generation activities: an HIV modelling study
title_short Appraising the value of evidence generation activities: an HIV modelling study
title_sort appraising the value of evidence generation activities: an hiv modelling study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6304099/
https://www.ncbi.nlm.nih.gov/pubmed/30613422
http://dx.doi.org/10.1136/bmjgh-2017-000488
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