Evidence map›Paper›PMID 42609536›Full record

ReviewThe Lancet regional health. Western Pacific2026

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 and 4 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The Lancet regional health. Western Pacific, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Leanne GreeneUniversity of Exeter Medical School, University of Exeter, Exeter, EX1 2LU, United Kingdom.
Jacob BrainInstitute of Mental Health, School of Medicine, University of Nottingham, Innovation Park, Jubilee Campus, Nottingham, NG7 2UH, United Kingdom.
Belinda BrownCentre for Healthy Ageing, Health Futures Institute, Murdoch University, Perth, WA, Australia.
Claire V BurleyDementia Centre of Excellence, enAble Institute, Faculty of Health Sciences, Curtin University, Perth, WA, Australia.
Elissa BurtonDementia Centre of Excellence, enAble Institute, Faculty of Health Sciences, Curtin University, Perth, WA, Australia.
Zhongyang GuanDementia Centre of Excellence, enAble Institute, Faculty of Health Sciences, Curtin University, Perth, WA, Australia.
Bronwyn MyersDementia Centre of Excellence, enAble Institute, Faculty of Health Sciences, Curtin University, Perth, WA, Australia.
Katherine RideDementia Centre of Excellence, enAble Institute, Faculty of Health Sciences, Curtin University, Perth, WA, Australia.
Serena SabatiniDepartment of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain.
Mario SiervoDementia Centre of Excellence, enAble Institute, Faculty of Health Sciences, Curtin University, Perth, WA, Australia.
Abay Woday TadesseCurtin School of Population Health, Faculty of Health Sciences, Curtin University, Perth, WA, 6102, Australia.
Eugene Yee Hing TangPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
Blossom Cm StephanDementia Centre of Excellence, enAble Institute, Faculty of Health Sciences, Curtin University, Perth, WA, Australia.
Jennifer DunneDementia Centre of Excellence, enAble Institute, Faculty of Health Sciences, Curtin University, Perth, WA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Implementation sciencePrediction modelRisk assessmentRisk stratification

Identifiers

PMID42609536
PMCPMC13478817

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.