Uttley, L. orcid.org/0000-0003-4603-9069, Falzon, L., Latimer, N. et al. (2 more authors) (2026) Expert opinion in decision-making: a systematic review of methods and the INTEGRITY framework for incorporating expert consultation into research. Research Integrity and Peer Review, 11 (1). 25. ISSN: 2058-8615
Abstract
Experts and their opinions can play a pivotal role in research for decision-making, particularly where empirical data are limited or uncertain. However, the methods by which expert input is solicited, synthesised, and applied in research often lack consistency and transparency. The absence of cross-disciplinary guidelines for how expert opinion should be gathered, integrated into research, and utilised in decision-making leaves the process vulnerable to conflicts of interest, interpersonal dynamics, and researcher discretion. Using health technology assessment (HTA) as a case study, we conducted a systematic review of empirical studies examining the use of expert opinion in research for decision-making. Twenty-three studies were included, from which six broad categories of expert consultation methods were identified, ranging from informal individual consultation to structured expert elicitation protocols. Considerable variation was observed in both the methodological rigour and transparency with which expert consultation was conducted and reported. Drawing on the review findings, we propose a preliminary conceptual framework (INTEGRITY) that synthesises psychosocial, methodological and reporting factors to promote transparency, rigour, inclusivity and objectivity when incorporating expert consultation into research. For low-stakes exploratory judgements, informal consultation may be sufficient. For high-stakes policy or resource-allocation decisions that require quantitative estimates, structured and transparent approaches such as formal elicitation protocols should be considered to support inclusive, objective, rigorous, and transparent use of expert judgement in research.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © The Author(s) 2026. 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: | Bias; Conflicts of interest; Evidence-based decision-making; Expert consensus; Expert elicitation; Expert opinion; Methodological; Psychosocial influences; Reporting; Research integrity; Systematic 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: | 29 Jun 2026 15:56 |
| Last Modified: | 29 Jun 2026 15:56 |
| Status: | Published |
| Publisher: | Springer Science and Business Media LLC |
| Refereed: | Yes |
| Identification Number: | 10.1186/s41073-026-00213-2 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:242650 |

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