Implementation of risk prediction and stratification approaches for ageing populations in Australian healthcare: a systematic review

Leanne Greene; Jacob Brain; Belinda Brown; Claire V. Burley; Elissa Burton; Zhongyang Guan; Bronwyn Myers; Katherine Ride; Serena Sabatini; Mario Siervo; Abay Woday Tadesse; Eugene Yee Hing Tang; Blossom CM Stephan; Jennifer Dunne

doi:10.1016/j.lanwpc.2026.101910

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Implementation of risk prediction and stratification approaches for ageing populations in Australian healthcare: a systematic review

Journal article

Open access

Peer reviewed

Implementation of risk prediction and stratification approaches for ageing populations in Australian healthcare: a systematic review

Leanne Greene, Jacob Brain, Belinda Brown, Claire V. Burley, Elissa Burton, Zhongyang Guan, Bronwyn Myers, Katherine Ride, Serena Sabatini, Mario Siervo, …

The Lancet regional health. Western Pacific, 101910

2026

DOI: https://doi.org/10.1016/j.lanwpc.2026.101910

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Abstract

Implementation science

Prediction model

Risk assessment

Risk stratification

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.

Details

Title: Implementation of risk prediction and stratification approaches for ageing populations in Australian healthcare: a systematic review
Authors/Creators: Leanne Greene - University of Exeter
Jacob Brain - University of Nottingham
Belinda Brown - Murdoch University
Claire V. Burley - Curtin University
Elissa Burton - Curtin University
Zhongyang Guan - Curtin University
Bronwyn Myers - South African Medical Research Council
Katherine Ride - Curtin University
Serena Sabatini - University of Surrey
Mario Siervo - Curtin University
Abay Woday Tadesse - The Kids Research Institute Australia
Eugene Yee Hing Tang - Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
Blossom CM Stephan - Curtin University
Jennifer Dunne - Curtin University
Publication Details: The Lancet regional health. Western Pacific, 101910
Publisher: Elsevier Ltd
Identifiers: 991005904077307891
Murdoch Affiliation: Research and Innovation Office; Centre for Healthy Ageing
Language: English
Resource Type: Journal article

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