Deaf older adults’ experiences of support from a mobile old-age care team providing support in Swedish sign language
Bibliographic record
Abstract
INTRODUCTION: To address communication barriers, minimise social isolation, prevent psychosocial illness and increase the independence of Deaf older adults, a mobile care team consisting of Deaf assistant nurses using sign language was initiated and developed by a nongovernmental organisation in a region in southern Sweden. AIM: To describe Deaf older adults’ experiences receiving support from an NGO-initiated mobile old-age care team for Deaf and sign language-speaking older adults in Sweden. METHODS: A series of 15 individual interviews with four Deaf older adults were analysed via content analysis. RESULTS: Support from the mobile care team was appreciated, as illustrated by the following categories: support in everyday activities, communication supported and enabled and support for psychosocial well-being. The care team facilitated communication using sign language. For example, they enabled in-depth communication and information sharing and supported older adults in expressing opinions and thoughts to authorities and regular care staff. Increased communication supported psychosocial well-being, independence, and feelings of safety. CONCLUSION: A sign language mobile care team that is well familiar with Deafness as a culture rather than a hearing disability is highly valued by Deaf older adults in need of home or residential care later in life. It also shows that access to a sign language mobile care team leads to increased psychological wellbeing and happiness among Deaf older adults, as well as to their increased participation in decision-making concerning various aspects of their lives.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".