Towards Better Communication Accessibility for People Living with Aphasia: Identifying Barriers and Facilitators in Financial Institutions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Approximately one-third of stroke survivors live with aphasia, an acquired communication disorder that significantly impacts their ability to understand, speak, read, or write. This condition often leads to social isolation and a reduced quality of life. Financial institutions, as essential community services, present numerous communication barriers for people living with aphasia. This study aims to identify the barriers and facilitators influencing the communicative accessibility of financial institutions for people living with aphasia and to discuss solutions to optimize accessibility. A qualitative descriptive research design was employed, involving semi-structured interviews with people living with aphasia and questionnaires filled by employees from financial institutions. Data were analyzed using thematic analysis to identify key themes related to barriers and facilitators. People living with aphasia identified thirteen types of barriers and forty facilitators, related to physical environmental factors, conversational attitudes and service systems and policies. Financial institution employees highlighted the need for better training and awareness regarding aphasia. The study underscores the significant barriers people living with aphasia face in financial institutions and the potential facilitators that could enhance communicative accessibility. Implementing targeted training programs and standardizing accessibility policies are crucial steps towards improving service access for people living with aphasia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it