Evidence map›Paper›PMID 35836238›Full record

ArticleBMC geriatrics2022

Characterising Australian memory clinics: current practice and service needs informing national service guidelines.

Sharon L Naismith, Johannes C Michaelian, Lee-Fay Low, Valerie Arsenova, Inga Mehrani, Katrina Fyfe, Nicole A Kochan, Susan E Kurrle, Christopher Rowe, Perminder S Sachdev

Abstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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  5. The road to young-onset dementia diagnosis: Findings from the Joint Solutions Project.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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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

10 authors.

Sharon L NaismithSchool of Psychology, Charles Perkins Centre and the Brain and Mind Centre, University of Sydney, Sydney, Australia. sharon.naismith@sydney.edu.au.
Johannes C MichaelianSchool of Psychology, Charles Perkins Centre and the Brain and Mind Centre, University of Sydney, Sydney, Australia.
Lee-Fay LowFaculty of Medicine and Health, University of Sydney, Sydney, Australia.
Valerie ArsenovaCentre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia.
Inga MehraniCentre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia.
Katrina FyfeSchool of Health and Medical Sciences, University of Western Australia, Perth, Australia.
Nicole A KochanCentre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia.
Susan E KurrleFaculty of Medicine and Health, University of Sydney, Sydney, Australia.
Christopher RoweDepartment of Molecular Imaging and Therapy, Austin Health, The University of Melbourne, Melbourne, Victoria, Australia.
Perminder S SachdevCentre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMemory clinics (MCs) play a key role in accurate and timely diagnoses and treatment of dementia and mild cognitive impairment. However, within Australia, there are little data available on current practices in MCs, which hinder international comparisons for best practice, harmonisation efforts and national coordination. Here, we aimed to characterise current service profiles of Australian MCs.

methodsThe 'Australian Dementia Network Survey of Expert Opinion on Best Practice and the Current Clinical Landscape' was conducted between August-September 2020 as part of a larger-scale Delphi process deployed to develop national MC guidelines. In this study, we report on the subset of questions pertaining to current practice including wait-times and post-diagnostic care.

resultsResponses were received from 100 health professionals representing 60 separate clinics (45 public, 11 private, and 4 university/research clinics). The majority of participants were from clinics in metropolitan areas (79%) and in general were from high socioeconomic areas. While wait-times varied, only 28.3% of clinics were able to offer an appointment within 1-2 weeks for urgent referrals, with significantly more private clinics (58.3%) compared to public clinics (19.5%) being able to do so. Wait-times were less than 8 weeks for 34.5% of non-urgent referrals. Only 20.0 and 30.9% of clinics provided cognitive interventions or post-diagnostic support respectively, with 7.3% offering home-based reablement programs, and only 12.7% offering access to group-based education. Metropolitan clinics utilised neuropsychological assessments for a broader range of cases and were more likely to offer clinical trials and access to research opportunities.

conclusionsIn comparison to similar countries with comprehensive government-funded public healthcare systems (i.e., United Kingdom, Ireland and Canada), wait-times for Australian MCs are long, and post-diagnostic support or evidence-based strategies targeting cognition are not common practice. The timely and important results of this study highlight a need for Australian MCs to adopt a more holistic service of multidisciplinary assessment and post-diagnostic support, as well as the need for the number of Australian MCs to be increased to match the rising number of dementia cases.

Indexed as

DementiaReferral and ConsultationAppointments and SchedulesAustraliaHumansSurveys and QuestionnairesBest practiceCare plan developmentCare plan implementationCase conferenceCurrent clinical practiceDementiaFeedbackMemory clinics (MCs)Post-diagnostic careReferralsStaffing

Identifiers

PMID35836238
PMCPMC9281346

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Registered trials

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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.