Evidence map›Paper›PMID 40209218›Full record

SynthesisJMIR aging2025

Patient-Related Barriers to Digital Technology Adoption in Alzheimer Disease: Systematic Review.

Andrea Panzavolta, Andrea Arighi, Emanuele Guido, Luigi Lavorgna, Francesco Di Lorenzo, Alessandra Dodich, Chiara Cerami

Abstract readSystematic Review
In one paragraph

Synthesis in JMIR aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

7 authors.

Andrea PanzavoltaIUSS Cognitive Neuroscience ICoN Center, Scuola Universitaria Superiore IUSS, Piazza della Vittoria, 15, Pavia, 27100, Italy, 39 3516237219.ORCID http://orcid.org/0009-0004-9206-6206
Andrea ArighiFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.ORCID http://orcid.org/0000-0003-2865-3970
Emanuele GuidoIUSS Cognitive Neuroscience ICoN Center, Scuola Universitaria Superiore IUSS, Piazza della Vittoria, 15, Pavia, 27100, Italy, 39 3516237219.ORCID http://orcid.org/0009-0009-8073-0284
Luigi LavorgnaDivision of Neurology, Department of Advanced Medical and Surgical Sciences, AOU-University of Campania, Naples, Italy.ORCID http://orcid.org/0000-0003-4625-4236
Francesco Di LorenzoExperimental Neuropsychophisiology Unit, Fondazione Santa Lucia IRCCS, Rome, Italy.ORCID http://orcid.org/0000-0001-9871-229X
Alessandra DodichCenter for Mind/Brain Sciences-CIMeC, University of Trento, Rovereto, Italy.ORCID http://orcid.org/0000-0001-9140-0699
Chiara CeramiIUSS Cognitive Neuroscience ICoN Center, Scuola Universitaria Superiore IUSS, Piazza della Vittoria, 15, Pavia, 27100, Italy, 39 3516237219.ORCID http://orcid.org/0000-0003-1974-3421

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital technology in dementia is an area of great development with varying experiences across countries. However, novel digital solutions often lack a patient-oriented perspective, and several relevant barriers prevent their use in clinics. Objective: In this study, we reviewed the existing literature on knowledge, familiarity, and competence in using digital technology and on attitude and experiences with digital tools in Alzheimer disease. The main research question is whether digital competence and attitudes of patients and caregivers may affect the adoption of digital technology. Methods: Following the PRISMA guidelines, a literature search was conducted by two researchers in the group. Inter-rater reliability was calculated with Cohen κ statistics. The risk of bias assessment was also recorded. Results: Of 597 initial records, only 18 papers were considered eligible. Analyses of inter-rater reliability showed good agreement levels. Significant heterogeneity in study design, sample features, and measurement tools emerged across studies. Quality assessment showed a middle-high overall quality of evidence. The main factors affecting the adoption of digital technology in patients and caregivers are severity of cognitive deficits, timing of adoption, and the availability of training and support. Additional factors are age, type of digital device, and ease of use of the digital solution. Conclusions: Adoption of digital technology in dementia is hampered by many patient-related barriers. Improving digital competence in patient-caregiver dyads and implementing systematic, patient-oriented strategies for the development and use of digital tools are needed for a successful incorporation of digital technology in memory clinics.

Indexed as

Alzheimer DiseaseDigital TechnologyCaregiversHumansaccessibilityAlzheimer diseasedementiadigital e-healthdigital technologyneurocognitive disordersuser-friendliness

Identifiers

PMID40209218
PMCPMC12005595

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.