Quality-of-Life Assessment: Arm TIVAD versus Chest TIVAD
Bibliographic record
Abstract
INTRODUCTION: Venous access devices are essential for the provision of care for patients requiring chemotherapy. Totally implanted venous access devices (TIVADs), also known as ports, are an option for infusion care. Medical devices have an impact upon patient quality of life. We assessed the impact on quality of life and satisfaction with their venous device, for patients with a chest TIVAD versus an upper arm TIVAD. MATERIALS AND METHODS: Sequential subjects were administered a questionnaire, "Quality of Life Assessment, Venous Device - Port (QLAVD-P)" at the time of their TIVAD removal. All subjects consented to complete the questionnaire and volunteered for this assessment. The TIVADs were all implanted and removed in the medical imaging department. RESULTS: Between March 1, 2014 and August 30, 2015, 127 subjects completed the QLAVD-P. At the time of their port removal, 51 had chest ports while 76 had arm ports. There were some negative features of the chest ports that were statistically significant in comparison to the arm ports. Most of the subjects felt that their port had a positive impact upon their treatment and they would have another port inserted if required for future treatment. DISCUSSION: Quality of life for those requiring intravenous chemotherapy is very important. This should be considered when selecting an infusion device. Venous ports were positively received by the subjects in our study and there were fewer negative impacts upon subject satisfaction and quality of life for those with upper-arm devices.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".