Evidence map›Paper›PMID 31951217›Full record

ArticleJMIR mHealth and uHealth2020

A Tablet App Supporting Self-Management for People With Dementia: Explorative Study of Adoption and Use Patterns.

Laila Øksnebjerg, Bob Woods, Kathrine Ruth, Annette Lauridsen, Susanne Kristiansen, Helle Dalsgaard Holst, Gunhild Waldemar

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 6 pooled it
2.8field-weighted citation impact, top 9% of its field
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

24 citing papers in PubMed, 6 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
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  8. Grandad forgot my name: interactive narratives for dementia support.Primary health care research & development · 2026
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  14. Review
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  16. Using Health Forum Data to Assess User Needs for mHealth App Development: A Feasibility Study on Alzheimer's Disease.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023
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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

7 authors at 5 institutions in 2 countries.

Laila ØksnebjergDanish Dementia Research Centre, Department of Neurology, The Neuroscience Centre, Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0003-2322-8000
Bob WoodsDementia Services Development Centre Wales, Bangor University, Bangor, United Kingdom.ORCID 0000-0002-6781-651X
Kathrine RuthDepartment of Neurology, Zealand University Hospital, Roskilde, Denmark.ORCID 0000-0001-9496-9928
Annette LauridsenDanish Dementia Research Centre, Department of Neurology, The Neuroscience Centre, Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0002-3748-6732
Susanne KristiansenDepartment of Neurology, Zealand University Hospital, Roskilde, Denmark.ORCID 0000-0002-3611-7863
Helle Dalsgaard HolstDementia Clinic, Department of Neurology, Aalborg University Hospital, Aalborg, Denmark.ORCID 0000-0003-3924-6617
Gunhild WaldemarDanish Dementia Research Centre, Department of Neurology, The Neuroscience Centre, Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0003-0293-220X
Rigshospitalet · DKZealand University Hospital · DKAalborg University Hospital · DKBangor University · GBUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssistive technology (AT) is rapidly emerging within dementia care and support. One area of AT application is support of people with dementia in compensating for cognitive symptoms and thereby promoting their self-management. There is, however, little evidence for the applicability, usability, and effectiveness of AT for people with dementia, and there is a need to identify factors that can promote adoption.

objectiveThis study aimed to (1) evaluate the applicability and usability of an app, tailor-made for people with dementia; (2) explore factors affecting adoption; (3) explore the possible influence of caregiver involvement; and (4) contribute to process evaluation of the intervention.

methodsThe ReACT (Rehabilitation in Alzheimer's disease using Cognitive support Technology) app was designed as a holistic solution to support memory and structure in daily living. Persons with dementia had access to a personal user account, and family caregivers were given a parallel login. Written and Web-based materials were provided to support self-applied implementation. A mixed methods design was applied to explore adoption and use patterns, including background and disease-related data, qualitative data from a survey, and log data. Adoption was defined as the use of the app over a period of ≥90 days.

resultsData from 112 participants and 98 caregivers were included. Shorter time from diagnosis (U=595; P=.046; r=0.19) and caregiver activating the app (P=.02) had a significant impact on the participant adoption status. Logistic regression analysis showed that if caregivers had activated the app, the participant was five times more likely to become an adopter (odds ratio 5.1, 95% CI 1.29-19.99; P=.02). However, the overall predictive power was low, and there was a wide variation in background and disease-related characteristics among adopters. The level of experience and skills in tablet use were not significantly different between adopters and nonadopters. Adopters generally rated the app high on usefulness, satisfaction, and ease of use (rated on the USEdem questionnaire). Their scores were significantly higher compared with nonadopters (U=5.5; P=.02; r=0.64). Analysis of use patterns showed that all functionalities of the app were used among adopters.

conclusionsFor participants who became adopters, the ReACT app and the methods for self-applied implementation were applicable. However, the results were also in accordance with the well-known challenges of nonadoption and nonadherence to digital health interventions. The study provided insight into the importance of timely introduction and caregiver support for adoption of AT among people with dementia. It also underlined the high complexity of personal and contextual factors that influence adoption. These complex factors need to be considered when designing and implementing AT for people with dementia.

Indexed as

DementiaMobile ApplicationsSelf-ManagementAdultAgedAged, 80 and overCaregiversFemaleHumansMaleMiddle AgedSurveys and Questionnairesappcaregiversdementiainformation technologymemoryrehabilitationself-help devicesself-managementtechnology

Identifiers

PMID31951217
PMCPMC6996756
OpenAlexW2976528964

What OpenQuestion holds

Textmetadata
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.