ArticleInternational journal of environmental research and public health2021
Psychosocial Impact of Assistive Devices and Other Technologies on Deaf and Hard of Hearing People.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Innovations in Deaf Health Care Communication: Systematic Review of Sign Language Recognition Systems.Journal of medical Internet research · 2026Pooled it
- Effectiveness of a Self-Fitting Tool for User-Driven Fitting of Hearing Aids.International journal of environmental research and public health · 2021Trial
- Psychological Health of Deaf Pre-Teens and Teenagers with Cochlear Implants and Maternal Psychological Features: A Pilot Study.Healthcare (Basel, Switzerland) · 2025Article
- The psychosocial impact of eye-gaze assistive technology on everyday life of children and adults.Annals of medicine · 2024Article
- Available Assistive Technology Outcome Measures: Systematic Review.JMIR rehabilitation and assistive technologies · 2023Review
- Promoting active aging through assistive product design innovation: a preference-based integrated design framework.Frontiers in public health · 2023Article
- Factors Influencing Utilization of Assistive Devices by Tibetan Seniors on the Qinghai-Tibet Plateau: Based on Research Strategy of Triangulation.Patient preference and adherence · 2023Article
- Psychometric Properties of the Spanish Version of Psychosocial Impact of Assistive Devices Scale in a Large Sample of People With Neuromuscular, Neurological, or Hearing Disabilities.Frontiers in psychology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Deaf and hard of hearing people use a variety of assistive devices and technologies as a strategy to mitigate, counter or compensate for life difficulties resulting from hearing loss. Although outcome measures are commonly used with hearing aids, few studies have explored the perceived psychosocial impact of other assistive devices and technologies or the factors leading to their abandonment or lack of use. Therefore, the main aim of this study was to assess the psychosocial impact of different assistive devices on deaf and hard of hearing people using the Psychosocial Impact of Assistive Devices Scale. The sample was made up of 291 individuals, 176 women and 115 men, with an average age of 56.12 years (standard deviation (SD) = 25.11), who were all users of different assistive devices. Overall, the results of the study showed that the use of assistive devices had a positive psychosocial impact, although this impact varied slightly depending on the specific type of device. Moreover, a relationship was identified between the psychosocial impact and the probability of future abandonment of a hearing aid or a cochlear implant. The results point to the importance of considering the psychosocial impact derived from the use of a device as a relevant variable in the adoption process of assistive technologies for deaf and hard of hearing people.
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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.