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Validating the rigour of adaptive methods of economic evaluation

BACKGROUND: There has been a lot of debate on how to ‘generalise’ or ‘translate’ findings of economic evaluation (EE) or health technology assessment (HTA) to other country contexts. Researchers have used various adaptive HTA (aHTA) methods like model-adaptation, price-benchmarking, scorecard-approa...

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Autores principales: Chauhan, Akashdeep Singh, Sharma, Deepshikha, Mehndiratta, Abha, Gupta, Nidhi, Garg, Basant, Kumar, Amneet P, Prinja, Shankar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533726/
https://www.ncbi.nlm.nih.gov/pubmed/37751935
http://dx.doi.org/10.1136/bmjgh-2023-012277
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author Chauhan, Akashdeep Singh
Sharma, Deepshikha
Mehndiratta, Abha
Gupta, Nidhi
Garg, Basant
Kumar, Amneet P
Prinja, Shankar
author_facet Chauhan, Akashdeep Singh
Sharma, Deepshikha
Mehndiratta, Abha
Gupta, Nidhi
Garg, Basant
Kumar, Amneet P
Prinja, Shankar
author_sort Chauhan, Akashdeep Singh
collection PubMed
description BACKGROUND: There has been a lot of debate on how to ‘generalise’ or ‘translate’ findings of economic evaluation (EE) or health technology assessment (HTA) to other country contexts. Researchers have used various adaptive HTA (aHTA) methods like model-adaptation, price-benchmarking, scorecard-approach, etc., for transferring evidence from one country to other. This study was undertaken to assess the degree of accuracy in results generated from aHTA approaches specifically for EE. METHODS: By applying selected aHTA approaches, we adapted findings of globally published EE to Indian context. The first-step required identifying two interventions for which Indian EE (referred to as the ‘Indian reference study’) has been conducted. The next-step involved identification of globally published EE. The third-step required undertaking quality and transferability check. In the fourth step, outcomes of EE meeting transferability standards, were adapted using selected aHTA approaches. Lastly, adapted results were compared with findings of the Indian reference study. RESULTS: The adapted cost estimates varied considerably, while adapted quality-adjusted life-years did not differ much, when matched with the Indian reference study. For intervention I (trastuzumab), adapted absolute costs were 11 and 6 times higher than the costs reported in the Indian reference study for control and intervention arms, respectively. Likewise, adapted incremental cost and incremental cost-effectiveness ratio (ICER) were around 3.5–8 times higher than the values reported in the Indian reference study. For intervention II (intensity-modulated radiation therapy), adapted absolute cost was 35% and 12% lower for the comparator and intervention arms, respectively, than the values reported in the Indian reference study. The mean incremental cost and ICER were 2.5 times and 1.5 times higher, respectively, than the Indian reference study values. CONCLUSION: We conclude that findings from aHTA methods should be interpreted with caution. There is a need to develop more robust aHTA approaches for cost adjustment. aHTA may be used for ‘topic prioritisation’ within the overall HTA process, whereby interventions which are highly cost-ineffective, can be directly ruled out, thus saving time and resources for conducting full HTA for interventions that are not well studied or where evidence is inconclusive.
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spelling pubmed-105337262023-09-29 Validating the rigour of adaptive methods of economic evaluation Chauhan, Akashdeep Singh Sharma, Deepshikha Mehndiratta, Abha Gupta, Nidhi Garg, Basant Kumar, Amneet P Prinja, Shankar BMJ Glob Health Original Research BACKGROUND: There has been a lot of debate on how to ‘generalise’ or ‘translate’ findings of economic evaluation (EE) or health technology assessment (HTA) to other country contexts. Researchers have used various adaptive HTA (aHTA) methods like model-adaptation, price-benchmarking, scorecard-approach, etc., for transferring evidence from one country to other. This study was undertaken to assess the degree of accuracy in results generated from aHTA approaches specifically for EE. METHODS: By applying selected aHTA approaches, we adapted findings of globally published EE to Indian context. The first-step required identifying two interventions for which Indian EE (referred to as the ‘Indian reference study’) has been conducted. The next-step involved identification of globally published EE. The third-step required undertaking quality and transferability check. In the fourth step, outcomes of EE meeting transferability standards, were adapted using selected aHTA approaches. Lastly, adapted results were compared with findings of the Indian reference study. RESULTS: The adapted cost estimates varied considerably, while adapted quality-adjusted life-years did not differ much, when matched with the Indian reference study. For intervention I (trastuzumab), adapted absolute costs were 11 and 6 times higher than the costs reported in the Indian reference study for control and intervention arms, respectively. Likewise, adapted incremental cost and incremental cost-effectiveness ratio (ICER) were around 3.5–8 times higher than the values reported in the Indian reference study. For intervention II (intensity-modulated radiation therapy), adapted absolute cost was 35% and 12% lower for the comparator and intervention arms, respectively, than the values reported in the Indian reference study. The mean incremental cost and ICER were 2.5 times and 1.5 times higher, respectively, than the Indian reference study values. CONCLUSION: We conclude that findings from aHTA methods should be interpreted with caution. There is a need to develop more robust aHTA approaches for cost adjustment. aHTA may be used for ‘topic prioritisation’ within the overall HTA process, whereby interventions which are highly cost-ineffective, can be directly ruled out, thus saving time and resources for conducting full HTA for interventions that are not well studied or where evidence is inconclusive. BMJ Publishing Group 2023-09-26 /pmc/articles/PMC10533726/ /pubmed/37751935 http://dx.doi.org/10.1136/bmjgh-2023-012277 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Chauhan, Akashdeep Singh
Sharma, Deepshikha
Mehndiratta, Abha
Gupta, Nidhi
Garg, Basant
Kumar, Amneet P
Prinja, Shankar
Validating the rigour of adaptive methods of economic evaluation
title Validating the rigour of adaptive methods of economic evaluation
title_full Validating the rigour of adaptive methods of economic evaluation
title_fullStr Validating the rigour of adaptive methods of economic evaluation
title_full_unstemmed Validating the rigour of adaptive methods of economic evaluation
title_short Validating the rigour of adaptive methods of economic evaluation
title_sort validating the rigour of adaptive methods of economic evaluation
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533726/
https://www.ncbi.nlm.nih.gov/pubmed/37751935
http://dx.doi.org/10.1136/bmjgh-2023-012277
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