Forsyth, J.E. orcid.org/0000-0002-5839-9160, Uttley, L. orcid.org/0000-0003-4603-9069, Wong, R. orcid.org/0000-0002-4536-4794 et al. (1 more author) (2025) Structured expert elicitation for long-term survival outcomes in health technology assessment: a systematic review. BMC Medical Informatics and Decision Making, 25 (1). 387. ISSN: 1472-6947
Abstract
BACKGROUND: Extrapolation of immature survival data is integral to health technology assessment (HTA) but is often associated with large uncertainty. Incorporation of expert judgements can help to address this uncertainty, but often these judgements are perceived as being “best guesses” due to a lack of methodological transparency. This review assesses the current implementation and reporting of structured expert elicitation for long-term survival outcomes in the broader literature and recent submissions to the National Institute for Health and Care Excellence (NICE).
METHODS: Three literature databases were searched: MEDLINE via Ovid, Embase, and Web of Science. The search algorithm included terms to identify articles which obtained expert judgements for survival extrapolation. A pearl-growing approach was also employed using three seed papers to supplement the electronic searches. To identify recent NICE technology appraisals in oncology, the NICE guidance database was searched.
RESULTS: The search of the broader literature identified six studies which utilised structured expert elicitation for long-term survival outcomes. Four NICE technology appraisals were identified to have used structured expert elicitation between October 2023 and October 2024. The reporting and conduct of elicitation for survival quantities was variable in detail and rigour in both the broader literature and NICE submissions. Despite the requirement for significant resource investment within the process, elicited values are variably used within analyses and are predominantly used as qualitative external validation. At all points throughout the elicitation, including planning, conduct and reporting, there appears to be a considerable lack of technical detail, which in the context of NICE appraisals may hinder full consideration of the elicited values by reviewing committees.
CONCLUSIONS: Currently, the methods and limited reporting structures being used to elicit long-term survival outcomes are not fit for purpose. This review highlights key areas for improvement and identifies examples of good practice when conducting structured expert elicitations for long-term survival outcomes.
SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-025-03221-2.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| Keywords: | Health technology assessment; Healthcare decision-making; Structured expert elicitation; Survival extrapolation; Systematic literature review |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health |
| Date Deposited: | 27 Oct 2025 15:48 |
| Last Modified: | 27 Oct 2025 15:48 |
| Status: | Published |
| Publisher: | Springer Science and Business Media LLC |
| Refereed: | Yes |
| Identification Number: | 10.1186/s12911-025-03221-2 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:233631 |

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