Evaluation of an educational program for the caregivers of persons diagnosed with a malignant glioma
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
BACKGROUND: Caring for a loved one with a malignant glioma can be a formidable responsibility. The guarded prognosis, side effects of treatments, and changes in brain function, personality and behaviour pose unique challenges in care provision by family members. It is rare that institutions provide educational programs for caregivers. PURPOSE: To evaluate the impact of providing information in an educational program to caregivers of patients diagnosed with a malignant glioma. METHODS: A structured educational program for caregivers of brain tumour patients was developed based upon multidisciplinary expert opinion and caregiver feedback. Twenty-four caregiver participants were enrolled in the program. Knowledge was assessed before, immediately following, and four to six weeks following the program. Open-ended questions were used to explore the caregivers' experiences, as well as additional benefits derived from the program. RESULTS: Knowledge scores on testing immediately after the program and four to six weeks following the program were statistically significantly improved from baseline testing, although there was a decline in scores four to six weeks after the program. These findings demonstrate effective knowledge transfer (recall of the information) immediately after the education program and four to six weeks later. Specific qualitative and quantitative data serve as a basis for understanding caregivers' needs and experiences.
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 | 0.002 | 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) | 0.000 | 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