Evidence map›Paper›PMID 40527569›Full record

ArticleBMJ open2025

Implementing innovative technology promoting self-awareness of brain health and self-determination in obtaining a timely dementia diagnosis: protocol for a multimethods, concurrent, two-part observational study.

Alison M Hutchinson, Helen Macpherson, Tanya Petrovich, Rajesh Vasa, Terence W H Chong, Lidia Engel, Tanita Botha, Tracey K Bucknall, Kelly Burns, Stephanie Daly and 9 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

19 authors.

Alison M HutchinsonSchool of Nursing and Midwifery, Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Deakin University, 1 Gheringhap St, Geelong 3220, Victoria, Australia alison.hutchinson@deakin.edu.au.ORCID http://orcid.org/0000-0001-5065-2726
Helen MacphersonInstitute for Physical Activity and Nutrition (IPAN), Deakin University Faculty of Health, Geelong 3220, Victoria, Australia.ORCID http://orcid.org/0000-0002-3603-9359
Tanya PetrovichDementia Australia, 155 Oak Street, Parkville 3052, Victoria, Australia.
Rajesh VasaDeakin Applied Artificial Intelligence Initiative, Deakin University, Geelong 3220, Victoria, Australia.
Terence W H ChongDepartment of Psychiatry, The University of Melbourne, Parkville 3010, Victoria, Australia.ORCID http://orcid.org/0000-0003-2432-8193
Lidia EngelMonash University Health Economics Group (MUHEG), School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, 3004, Victoria, Australia.ORCID http://orcid.org/0000-0002-7959-3149
Tanita BothaBiostatistics Unit, Faculty of Health, Deakin University, Geelong 3220, Victoria, Australia.
Tracey K BucknallSchool of Nursing and Midwifery, Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Deakin University, 1 Gheringhap St, Geelong 3220, Victoria, Australia.
Kelly BurnsDementia Australia, 155 Oak Street, Parkville 3052, Victoria, Australia.
Stephanie DalySesnus Cognition, 225 Main Road, Blackwood 5051, South Australia, Australia.
Justine LomasSchool of Nursing and Midwifery, Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Deakin University, 1 Gheringhap St, Geelong 3220, Victoria, Australia.
Kon MouzakisDeakin Applied Artificial Intelligence Initiative, Deakin University, Geelong 3220, Victoria, Australia.
Loren MowszowskiHealthy Brain Ageing Program, School of Psychology, Brain and Mind Centre and The Charles Perkins Centre, The University of Sydney, Sydney 2050, New South Wales, Australia.
Sharon L NaismithHealthy Brain Ageing Program, School of Psychology, Brain and Mind Centre and The Charles Perkins Centre, The University of Sydney, Sydney 2050, New South Wales, Australia.
Bernice RedleySchool of Nursing and Midwifery, Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Deakin University, 1 Gheringhap St, Geelong 3220, Victoria, Australia.
Jessica Rivera VillicanaCentre for Urban Research, RMIT University, 360 Swanston St, Melbourne 3000, Victoria, Australia.
Andrew VouliotisDeakin Applied Artificial Intelligence Initiative, Deakin University, Geelong 3220, Victoria, Australia.
Eva YuenSchool of Nursing and Midwifery, Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Deakin University, 1 Gheringhap St, Geelong 3220, Victoria, Australia.ORCID http://orcid.org/0000-0002-7956-5797
Liliana OrellanaBiostatistics Unit, Faculty of Health, Deakin University, Geelong 3220, Victoria, Australia.ORCID http://orcid.org/0000-0003-3736-4337

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiagnosis in the early stages of dementia can lead to successful delay in associated cognitive decline. However, up to 76% of Australians diagnosed with dementia have already advanced beyond the early stage of disease. BrainTrack is an evidence-based mobile application (app) designed in Australia to promote brain health self-awareness, self-determination to promote help-seeking and, ultimately, a timelier dementia diagnosis. We will evaluate user experience, implementation and social return-on-investment outcomes of BrainTrack and will report dementia-related concerns, dementia literacy, knowledge, stigma and motivation for behaviour change and explore their associations with demographic characteristics. METHODS AND ANALYSIS: A multimethods, concurrent, two-study observational design will be used. Study 1 will evaluate BrainTrack user experience and implementation outcomes, changes in users' dementia literacy, dementia knowledge, perceptions of dementia-related stigma and help-seeking at five time points (baseline, 1, 3, 6 and 12 months). People residing in all states and territories of Australia will be recruited to the study via the BrainTrack app. Data collection will occur online and through teleconferencing. Approximately 1000 participants will complete all five surveys. Google Analytics data will measure adoption. App usage data will identify app use patterns. A sample of continuing app users (~n=80) and those who cease app use within 6 months (~n=20) will be interviewed to obtain in-depth information about their app use and help-seeking experience. Dementia Australia Helpline data will quantify help-seeking calls triggered by BrainTrack use. In Study 1, longitudinal outcomes will be analysed using mixed models. The economic and social value of BrainTrack will be assessed using social return on investment analysis. In Study 2, general practitioners (~n=20) currently practising in Australia will participate in semi-structured interviews conducted via online teleconferencing. Interviews will elicit perceptions of the usefulness of BrainTrack for initiating and facilitating discussions with patients about cognition and dementia. Qualitative data will be analysed thematically, followed by deductive analysis guided by the Theoretical Domains Framework. ETHICS AND DISSEMINATION: This study has received Human Research Ethics Committee approval from Deakin University Human Research Ethics Committee (Study 1: HREC Reference Number 2022-220) and Deakin University Human Ethics Advisory Group, Faculty of Health (Study 2: Reference Number 202_2022). Informed consent will be obtained prior to participation, either verbally for interviews or online for surveys. Study findings will be published in peer-reviewed journals and communicated to key stakeholders.

Indexed as

DementiaMobile ApplicationsPersonal AutonomyAustraliaFemaleHealth Knowledge, Attitudes, PracticeHealth LiteracyHumansObservational Studies as TopicPatient Acceptance of Health CareSocial StigmaDementiaGERIATRIC MEDICINEHealth EducationHealth LiteracyQUALITATIVE RESEARCH

Identifiers

PMID40527569
PMCPMC12182042

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.