Evidence map›Paper›PMID 39350395›Full record

ReviewThe journal of prevention of Alzheimer's disease2024

Digital Health Technologies for Alzheimer's Disease and Related Dementias: Initial Results from a Landscape Analysis and Community Collaborative Effort.

S A Lott, E Streel, S L Bachman, K Bode, J Dyer, C Fitzer-Attas, J C Goldsack, A Hake, A Jannati, R S Fuertes and 1 more

Abstract readReview
In one paragraph

Review in The journal of prevention of Alzheimer's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Shaping the scientific agenda: Defining and operationalizing brain health in aging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Remote outcome measures in Alzheimer's disease clinical trials: A call to action.The journal of prevention of Alzheimer's disease · 2026
    Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
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  15. Review
  16. Advancing global dementia research through equity and inclusion.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  17. Observational
  18. Article
  19. A comprehensive guide to digital neurology. An update on current development on digital neurology derived from the Digital Neuro Hub project.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
  20. 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

11 authors.

S A LottSarah Averill Lott, Digital Medicine Society (DiMe), Boston, MA, USA, sarah.lott@dimesociety.org, 970-408-0780.
E Streel
S L Bachman
K Bode
J Dyer
C Fitzer-Attas
J C Goldsack
A Hake
A Jannati
R S Fuertes
P Fromy

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health technologies offer valuable advantages to dementia researchers and clinicians as screening tools, diagnostic aids, and monitoring instruments. To support the use and advancement of these resources, a comprehensive overview of the current technological landscape is essential. A multi-stakeholder working group, convened by the Digital Medicine Society (DiMe), conducted a landscape review to identify digital health technologies for Alzheimer's disease and related dementia populations. We searched studies indexed in PubMed, Embase, and APA PsycInfo to identify manuscripts published between May 2003 to May 2023 reporting analytical validation, clinical validation, or usability/feasibility results for relevant digital health technologies. Additional technologies were identified through community outreach. We collated peer-reviewed manuscripts, poster presentations, or regulatory documents for 106 different technologies for Alzheimer's disease and related dementia assessment covering diverse populations such as Lewy Body, vascular dementias, frontotemporal dementias, and all severities of Alzheimer's disease. Wearable sensors represent 32% of included technologies, non-wearables 61%, and technologies with components of both account for the remaining 7%. Neurocognition is the most prevalent concept of interest, followed by physical activity and sleep. Clinical validation is reported in 69% of evidence, analytical validation in 34%, and usability/feasibility in 20% (not mutually exclusive). These findings provide clinicians and researchers a landscape overview describing the range of technologies for assessing Alzheimer's disease and related dementias. A living library of technologies is presented for the clinical and research communities which will keep findings up-to-date as the field develops.

Indexed as

Alzheimer DiseaseDementiaBiomedical TechnologyDigital HealthHumansTelemedicineWearable Electronic DevicesAlzheimer’s diseaseassessmentDigital health technologiesdigital medicine

Identifiers

PMID39350395
PMCPMC11436391

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.