TY - JOUR
T1 - The use of nonrandomized evidence to estimate treatment effects in health technology assessment
AU - Kent, Seamus
AU - Salcher-Konrad, Maximilian
AU - Boccia, Stefania
AU - Bouvy, Jacoline C
AU - Waure, Chiara De
AU - Espin, Jaime
AU - Facey, Karen
AU - Nguyen, Mary
AU - Rejon-Parrilla, Juan Carlos
AU - Jonsson, Pall
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - comparative effectiveness research
KW - health technology assessment
KW - nonrandomized trials
KW - observational research
KW - real-world evidence
KW - comparative effectiveness research
KW - health technology assessment
KW - nonrandomized trials
KW - observational research
KW - real-world evidence
UR - http://hdl.handle.net/10807/184871
U2 - 10.2217/cer-2021-0108
DO - 10.2217/cer-2021-0108
M3 - Article
SN - 2042-6305
VL - 10
SP - 1035
EP - 1043
JO - Journal of Comparative Effectiveness Research
JF - Journal of Comparative Effectiveness Research
ER -