Intention to use and perceived satisfaction with a digital tool for dementia prevention in the Dutch general population: a cross-sectional study

DOI

The aim of this study was to explore the intention to use and perceived satisfaction with digital tools for dementia prevention among people in the Dutch general public. Data was gathered via a questionnaire among cognitively unimpaired people and people with subjective cognitive decline. Recruitment took place in two waves with the rationale to enrich the study sample’s diversity in the second recruitment wave. Data from wave I and wave II were merged into one data set prior to analyses. The questionnaire covered gender, age, employment situation, educational attainment, perceived financial scarcity, health literacy, dementia risk, motivation for dementia-prevention-related behaviour change, digital proficiency, digital acceptability, acceptance and use of technology. A use case was included to assess the outcome measures intention to use and perceived satisfaction applied to a Dutch existing dementia prevention app for citizens (MijnBreincoach). Analyses included exploratory descriptives, correlations, backward stepwise regression using Generalized Linear Models with 5-fold cross-validation. The total study sample consists of n=673 participants.

Identifier
DOI https://doi.org/10.34894/Z74Q0Y
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/Z74Q0Y
Provenance
Creator Tanja de Rijke ORCID logo; Leonie Visser ORCID logo; Kyra Kaijser ORCID logo; Jeroen Bruinsma ORCID logo; Susan Oudbier ORCID logo; Irene Heger ORCID logo; Wiesje van der Flier ORCID logo; Ellen Smets ORCID logo; Thomas Engelsma ORCID logo
Publisher DataverseNL
Contributor Tanja de Rijke; Ellen Smets; Leonie Visser; Thomas Engelsma
Publication Year 2025
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Tanja de Rijke (amsterdamumc.nl); Ellen Smets (Amsterdam UMC); Leonie Visser (Amsterdam UMC); Thomas Engelsma (Amsterdam UMC)
Representation
Resource Type Dataset
Format application/pdf
Size 925716; 514122; 252219; 268399
Version 1.0
Discipline Life Sciences; Medicine