Are Occupational Therapists Losing Sight of Hemianopia?
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
The purpose of this study was to determine the knowledge base surrounding hemianopia and to collate the rehabilitation principles offered by members of the National Association of Neurological Occupational Therapists (NANOT). A questionnaire was sent to 250 randomly selected members of NANOT. The completed questionnaires (n = 120) represented approximately a quarter of the total number of NANOT members at the time of the study. The mean post-registration time of the respondents was 11 years (SD 0.6). All United Kingdom geographical areas apart from Northern Ireland and the Isle of Man were represented. A wide range of clinical areas was also represented. The results showed that 92% of the respondents provided an accurate definition of hemianopia as the loss of half of the visual field. However, 48.3% reported that they were not testing every individual with a stroke for hemianopia. A third of the respondents stated that 80–100% of individuals with hemianopia always needed occupational therapy to compensate. The respondents also rated their understanding of eight neurovisual terms and, out of a total possible score of 80 (full understanding of terms), the mean score was 41 (SD 2.9). The occupational therapist's role in the assessment/rehabilitation of hemianopia emerged in four categories: education, compensation, assessment of effects and diagnosis. Even if individuals were made aware of their hemianopia, 62% of the respondents reported that there were resulting problems in the individual's engagement in occupation (aspects of self-care, productivity and leisure). These results are discussed in the context of the available literature and conclusions are drawn. A recommendation is made to improve the awareness and rehabilitation of individuals with hemianopia by occupational therapists.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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