ArticleHeliyon2025
The impact of family members on aging persons' technology use intentions.
Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Coaching-Driven Digital Literacy for Older Adults: Results from AGAPE Ecosystem Pilot Study.Geriatrics (Basel, Switzerland) · 2026Article
- Perceptions of care home residents, families and staff about wearable devices: a scoping review.European geriatric medicine · 2026Article
- Understanding older adults' perception, acceptance, and adoption of smart home technologies.PloS one · 2026Article
- Subcutaneous application ofFrontiers in public health · 2026Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Technology plays a growing role in allowing aging persons to live independently. However, it is often difficult to motivate aging persons to use these new technologies. Using 182 dyads of aging persons and their primary family caregiver, this study investigates how family members' beliefs about the capabilities of the aging person are associated with the aging person's engagement in using healthcare technology-a phenomenon known as the Pygmalion effect. A quantitative statistical method response-surface analysis (RSA) was performed. RSA is often employed to understand complex, nonlinear interactions within a data set. It was investigated how the level of fit (when both the aging person and his or her family caregiver hold similar beliefs about the technological capabilities of the aging person) and the direction of misfit (whether the abilities of the aging person are greater or worse than the family caregiver thinks) shape the aging person's intention to use healthcare technologies. The individual perception of capabilities is an important driver of the intention to use technology. In line with the Pygmalion effect, the effects of family members on aging persons drives their adoption of healthcare technology. The greatest intentions to use technology are observed when there is a fit in beliefs. In contrast, misfit leads to lower usage intentions. The direction of misfit further reveals that aging person's beliefs about their capabilities are more decisive than their family caregiver's beliefs in promoting their technology usage intentions. In addition, age, experience with technology, attitudes, social norms, and technological savviness in the family also have an impact on aging persons' intentions to use technology. This study extends the theoretical basis of the Pygmalion effect by including fit, misfit, and direction of (mis)fit.
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Registered trials
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.