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Closing the loop between horizon scanning and health technology assessment - An overview of topics submitted for appraisal in England

Lookup NU author(s): Dr Sarah KhanORCiD, Sonia Garcia Gonzalez-MoralORCiD, Kate LanyiORCiD, Dr Dapo Ogunbayo, Professor Dawn CraigORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Introduction: Horizon scanning for HTA in England involves topic notification to NICE via technology briefings. This activity is undertaken by the Innovation Observatory with submission timelines designed to ensure that HTA decisions align with regulatory approval time. In this paper, we aimed to track and assess the progression and current status of the topics notified for HTA and provide a descriptive analysis of these topics. Methods: Technology briefings were mapped from submission to NICE technology appraisal /highly specialized technologies recommendations from April 2017 until October 2021. This was done using a combination of searches on Google and NICE website, searching a downloadable spreadsheet containing NICE topic selection decisions, and querying NICE Topic Selection team. Analysis was undertaken regarding type of indications and interventions of submitted topics and published guidance. Results: 693 topics entered the NICE scoping process, of which ninety-four percent were prioritized. As of November 2021, approximately thirty-nine percent of prioritized topics were in scoping/in progress, thirty-one percent were proposed/completed, twenty percent were suspended/terminated, and four percent were referred back to IO for further monitoring. Conclusion: Our work demonstrates that horizon scanning for HTA is a complex and time intensive process. Timelines and progress through HTA is challenging due to growing number of innovative medicines, significant uncertainties and limited transparency in clinical development and regulatory pathways. A better understanding of clinical trials and regulatory requirements may help eliminate some of this uncertainty and improve timely HTA.


Publication metadata

Author(s): Khan SK, Gonzalez-Moral SG, Lanyi K, Ogunbayo D, Craig D

Publication type: Article

Publication status: Published

Journal: International Journal of Technology Assessment in Health Care

Year: 2023

Volume: 39

Issue: 1

Online publication date: 11/09/2023

Acceptance date: 26/07/2023

Date deposited: 23/02/2024

ISSN (print): 0266-4623

ISSN (electronic): 1471-6348

Publisher: Cambridge University Press

URL: https://doi.org/10.1017/S0266462323000491

DOI: 10.1017/S0266462323000491

PubMed id: 37690810


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NIHR

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