University of Leicester
Browse
1-s2.0-S0895435619311175-main.pdf (1.78 MB)

Uptake of methodological advances for synthesis of continuous and time-to-event outcomes would maximise use of the evidence base.

Download (1.78 MB)
Version 2 2020-05-28, 10:43
Version 1 2020-05-28, 10:42
journal contribution
posted on 2020-05-28, 10:43 authored by Suzanne C Freeman, Alex J Sutton, Nicola J Cooper
OBJECTIVE:To establish how often continuous and time-to-event outcomes are synthesised in health technology assessment (HTA), the statistical methods and software used in their analysis and how often evidence synthesis informs decision models. STUDY DESIGN AND SETTING:Review of NIHR HTA reports, NICE technology appraisals and NICE guidelines reporting quantitative meta-analysis or network meta-analysis of at least one continuous or time-to-event outcome published 01/04/2018 - 31/03/2019. RESULTS:We identified 47 eligible articles. At least one continuous or time-to-event outcome was synthesised in 51% and 55% of articles respectively. Evidence synthesis results informed decision models in two-thirds of articles. The review and expert knowledge identified five areas where methodology is available for improving the synthesis of continuous and time-to-event outcomes: i) outcomes reported on multiple scales, ii) reporting of multiple related outcomes, iii) appropriateness of the additive scale, iv) reporting of multiple time points and v) non-proportional hazards. We identified three anticipated barriers to the uptake and implementation of these methods: i) statistical expertise, ii) software and iii) reporting of trials. CONCLUSION:Continuous and time-to-event outcomes are routinely reported in HTA. However, increased uptake of methodological advances could maximise the evidence base used to inform the decision making process.

Funding

Suzanne Freeman is funded by a National Institute for Health Research (NIHR), (NIHR Post Doctoral Fellowship, PDF-2018-11-ST2-007) for this research project.

History

Citation

Journal of Clinical Epidemiology Available online 12 May 2020

Version

  • P (Proof)

Published in

Journal of clinical epidemiology

Publisher

Elsevier BV

issn

0895-4356

eissn

1878-5921

Acceptance date

2020-05-06

Copyright date

2020

Language

eng

Publisher version

https://www.sciencedirect.com/science/article/pii/S0895435619311175

Usage metrics

    University of Leicester Publications

    Categories

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC