Patients' experience using a comprehensive web-based multimedia cancer information navigation platform
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
Patients' Experience using a Comprehensive Web-Based Multimedia Cancer Information Navigation PlatformThe purpose of this dissertation is to document how integrating a web-based multimedia cancer informational and support interactive health platform -the Oncology Interactive Navigator (OIN TM ) -to routine cancer care for 6 weeks is perceived by individuals diagnosed with melanoma or colorectal cancer in terms of ease of use, acceptability, and satisfaction, and explore psychosocial changes pre and post OIN TM exposure.Self-determination theory (SDT) was used to guide the selection, measurement and analysis of relevant concepts.Findings suggest that the OIN TM is well received by individuals and families affected by cancer, with 73% of participants returning to the platform on multiple occasions.Most frequently viewed pages contained information about "decisions and treatment" and "coping and support".The information available on the platform was found to be clear and useful and the platform was reported to be easy to navigate.Individuals diagnosed with colorectal cancer reported higher levels of cancer knowledge pre and post platform exposure than participants diagnosed with melanoma.Postintervention significant changes were noted for cancer knowledge and perceived cancer competence for both groups of participants without significant changes in terms of perceived support for autonomy by health care professionals.Amount of time spent on the platform was not significantly related to changes in cancer knowledge, perceived cancer competence, and perceived support of patient autonomy by health care professionals.Last, findings from the survey with health care professionals revealed that
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.005 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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