Cookies?
Library Header Image
LSE Research Online LSE Library Services

The use of non-randomised evidence to estimate treatment effects in health technology assessment

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

[img] Text (The use of non-randomised evidence to estimate treatment effects in health technology assessment) - Accepted Version
Pending embargo until 1 January 2100.

Download (370kB) | Request a copy

Abstract

Health technology assessment (HTA) is increasingly informed by non-randomised 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 8 countries as part of the European Union’s Horizon-2020 IMPACT-HTA programme (work package 6). To ensure HTA processes remain rigorous and robust, HTA bodies should demand clear, extensive, and structured reporting of non-randomised studies, including an in-depth assessment of the risk of bias. In recognition of the additional uncertainty imparted by non-randomised 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
Divisions: Personal Social Services Research Unit
LSE Health
Date Deposited: 12 Jul 2021 17:03
Last Modified: 17 Jul 2021 23:14
URI: http://eprints.lse.ac.uk/id/eprint/111016

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics