Patienter med nedre extremitetsamputationer i Vietnam : En kvantitativ studie på patienters nöjdhet med deras utgivna protes och service
Bibliographic record
Abstract
Aim: The aim of this thesis is to evaluate patients’ satisfaction with prosthetic device and service on lower limb amputations in Danang, Vietnam and to implement comparisons between the subgroups gender, living area, amputation cause and level. Method: A cross-sectional study design was conducted using the Quebec User Evaluation of Satisfaction with assistive Technology (QUEST) 2.0 questionnaire to measure patients’ satisfaction. Fifty patients were recruited through the International Committee of the Red Cross (ICRC) and the data collection was performed in the patients own homes with an interpreter. The collected data was statistically analyzed with suitable tests using Statistical Package for the Social Sciences (SPSS). Result: The patients were quite satisfied with their prosthetic devices (mean 4.16 SD ± 0.561) and more or less satisfied with their given services (mean 2.83 SD ± 1.213). Significant differences were found between genders regarding the patients’ satisfaction with prosthetic device. There were no significant differences between the remaining subgroups; living area, amputation cause and amputation level. Conclusion: This thesis demonstrates that the patients in Danang appear to be quite satisfied with their prosthetic device, even though they reported problems with the durability of the device. Furthermore, the patients were more or less satisfied with their prosthetic services. The findings in this thesis also reveals that women were less satisfied compared to men regarding the prosthetic device. These conclusions should however be taken with caution, since the reliability and validity was lower than desired and it’s difficult to generalize the results to the population.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".