Library Header Image
LSE Research Online LSE Library Services

The use of nonrandomized evidence to estimate treatment effects in health technology assessment

Kent, Seamus, Salcher-Konrad, Maximilian ORCID: 0000-0002-5628-5266, Boccia, Stefania, Bouvy, Jacoline C., Waure, Chiara de, Espin, Jaime, Facey, Karen, Nguyen, Mary, Rejon-Parrilla, Juan Carlos and Jonsson, Pall (2021) The use of nonrandomized evidence to estimate treatment effects in health technology assessment. Journal of Comparative Effectiveness Research, 10 (14). 1035 - 1043. ISSN 2042-6305

[img] Text (cer-2021-0108) - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (987kB)

Identification Number: 10.2217/cer-2021-0108


Health technology assessment (HTA) is increasingly informed by nonrandomized studies, but there is limited guidance from HTA bodies on expectations around evidence quality and study conduct. We developed recommendations to support the appropriate use of such evidence based on a pragmatic literature review and a workshop involving 16 experts from eight countries as part of the EU's Horizon-2020 IMPACT-HTA program (work package six). To ensure HTA processes remain rigorous and robust, HTA bodies should demand clear, extensive and structured reporting of nonrandomized studies, including an in-depth assessment of the risk of bias. In recognition of the additional uncertainty imparted by nonrandomized designs in estimates of treatment effects, HTA bodies should strengthen early scientific advice and engage in collaborative efforts to improve use of real-world data.

Item Type: Article
Official URL:
Additional Information: © 2021 The Authors
Divisions: Personal Social Services Research Unit
Subjects: R Medicine > RA Public aspects of medicine
Date Deposited: 06 Oct 2021 10:57
Last Modified: 17 Nov 2021 01:11

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics