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Real‐world evidence in health technology assessment of high‐risk medical devices: Fit for purpose?

Health technology assessment (HTA) of medical devices (MDs) increasingly rely on real‐world evidence (RWE). The aim of this study was to evaluate the type and the quality of the evidence used to assess the (cost‐)effectiveness of high risk MDs (Class III) by HTA agencies in Europe (four European HTA...

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Autores principales: Klein, Philip, Blommestein, Hedwig, Al, Maiwenn, Pongiglione, Benedetta, Torbica, Aleksandra, de Groot, Saskia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9541731/
https://www.ncbi.nlm.nih.gov/pubmed/35989520
http://dx.doi.org/10.1002/hec.4575
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author Klein, Philip
Blommestein, Hedwig
Al, Maiwenn
Pongiglione, Benedetta
Torbica, Aleksandra
de Groot, Saskia
author_facet Klein, Philip
Blommestein, Hedwig
Al, Maiwenn
Pongiglione, Benedetta
Torbica, Aleksandra
de Groot, Saskia
author_sort Klein, Philip
collection PubMed
description Health technology assessment (HTA) of medical devices (MDs) increasingly rely on real‐world evidence (RWE). The aim of this study was to evaluate the type and the quality of the evidence used to assess the (cost‐)effectiveness of high risk MDs (Class III) by HTA agencies in Europe (four European HTA agencies and EUnetHTA), with particular focus on RWE. Data were extracted from HTA reports on the type of evidence demonstrating (cost‐)effectiveness, and the quality of observational studies of comparative effectiveness using the Good Research for Comparative Effectiveness principles. 25 HTA reports were included that incorporated 28 observational studies of comparative effectiveness. Half of the studies (46%) took important confounding and/or effect modifying variables into account in the design and/or analyses. The most common way of including confounders and/or effect modifiers was through multivariable regression analysis. Other methods, such as propensity score matching, were rarely employed. Furthermore, meaningful analyses to test key assumptions were largely omitted. Resulting recommendations from HTA agencies on MDs is therefore (partially) based on evidence which is riddled with uncertainty. Considering the increasing importance of RWE it is important that the quality of observational studies of comparative effectiveness are systematically assessed when used in decision‐making.
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spelling pubmed-95417312022-10-14 Real‐world evidence in health technology assessment of high‐risk medical devices: Fit for purpose? Klein, Philip Blommestein, Hedwig Al, Maiwenn Pongiglione, Benedetta Torbica, Aleksandra de Groot, Saskia Health Econ Supplement Papers Health technology assessment (HTA) of medical devices (MDs) increasingly rely on real‐world evidence (RWE). The aim of this study was to evaluate the type and the quality of the evidence used to assess the (cost‐)effectiveness of high risk MDs (Class III) by HTA agencies in Europe (four European HTA agencies and EUnetHTA), with particular focus on RWE. Data were extracted from HTA reports on the type of evidence demonstrating (cost‐)effectiveness, and the quality of observational studies of comparative effectiveness using the Good Research for Comparative Effectiveness principles. 25 HTA reports were included that incorporated 28 observational studies of comparative effectiveness. Half of the studies (46%) took important confounding and/or effect modifying variables into account in the design and/or analyses. The most common way of including confounders and/or effect modifiers was through multivariable regression analysis. Other methods, such as propensity score matching, were rarely employed. Furthermore, meaningful analyses to test key assumptions were largely omitted. Resulting recommendations from HTA agencies on MDs is therefore (partially) based on evidence which is riddled with uncertainty. Considering the increasing importance of RWE it is important that the quality of observational studies of comparative effectiveness are systematically assessed when used in decision‐making. John Wiley and Sons Inc. 2022-08-21 2022-09 /pmc/articles/PMC9541731/ /pubmed/35989520 http://dx.doi.org/10.1002/hec.4575 Text en © 2022 The Authors. Health Economics published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Supplement Papers
Klein, Philip
Blommestein, Hedwig
Al, Maiwenn
Pongiglione, Benedetta
Torbica, Aleksandra
de Groot, Saskia
Real‐world evidence in health technology assessment of high‐risk medical devices: Fit for purpose?
title Real‐world evidence in health technology assessment of high‐risk medical devices: Fit for purpose?
title_full Real‐world evidence in health technology assessment of high‐risk medical devices: Fit for purpose?
title_fullStr Real‐world evidence in health technology assessment of high‐risk medical devices: Fit for purpose?
title_full_unstemmed Real‐world evidence in health technology assessment of high‐risk medical devices: Fit for purpose?
title_short Real‐world evidence in health technology assessment of high‐risk medical devices: Fit for purpose?
title_sort real‐world evidence in health technology assessment of high‐risk medical devices: fit for purpose?
topic Supplement Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9541731/
https://www.ncbi.nlm.nih.gov/pubmed/35989520
http://dx.doi.org/10.1002/hec.4575
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