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Lookup NU author(s): Dr Mario Siervo, Dr Eugene TangORCiD, Professor Bloss Stephan
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
© 2026 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0/ Despite widespread development of prognostic risk stratification tools, their implementation in Australian healthcare remains poorly characterised. This review identified tools implemented for adults aged ≥40 years and examined their real-world use. Following PRISMA and SWiM guidelines, MEDLINE, EMBASE, Web of Science, PsycINFO, and CINAHL Plus were searched from inception to 20th February 2026. Eligible studies reported implementation of a risk stratification tool in Australian healthcare and health, functional, or implementation outcomes. The Mixed Methods Appraisal Tool assessed study quality. Of 7115 records screened, 21 studies were included across primary care, hospitals, residential aged care, and community services. Interventions included electronic decision support, multifactorial assessments, structured clinical protocols, and AI-enabled screening. Studies that focused on early implementation outcomes (acceptability, feasibility, and adoption) rarely examined sustainability, penetration, and cost. Risk stratification tools are feasible and acceptable across Australian healthcare settings, but few are implemented as part of routine care. Registration: PROSPERO—CRD420251028985.
Author(s): Greene L, Brain J, Brown B, Burley CV, Burton E, Guan Z, Myers B, Ride K, Sabatini S, Siervo M, Tadesse AW, Tang EYH, Stephan BC, Dunne J
Publication type: Review
Publication status: Published
Journal: The Lancet Regional Health - Western Pacific
Year: 2026
Pages: Epub ahead of print
Online publication date: 02/07/2026
Acceptance date: 08/06/2026
ISSN (electronic): 2666-6065
Publisher: Elsevier Ltd
URL: https://doi.org/10.1016/j.lanwpc.2026.101910
DOI: 10.1016/j.lanwpc.2026.101910
Data Access Statement: All data generated or analysed during this study are included in this published article and its Supplementary Information Files.
