Quebec Yardımcı Teknoloji Kullanıcı Memnuniyeti Değerlendirme 2.0 Anketi’nin protez ve ortez kullanan bireylerde Türkçe adaptasyonu
Bibliographic record
Abstract
Amaç: Quebec Yardımcı Teknoloji Kullanıcı Memnuniyeti Değerlendirme (Q-YTKMD) anketi, çok çeşitli teknolojik yardımcı cihaz kullanan bireylerin memnuniyetlerinin değerlendirilmesinde yaygın olarak kullanılan, standardize bir ankettir.Bu çalışmanın amacı Türk popülasyonunda protez ve ortez kullanan bireylerde Q-YTKMD anketinin geçerlik ve güvenirlik özelliklerini araştırmak idi.Yöntem: Çalışmaya çeşitli alt ekstremite ortezi, gövde ortezi ve alt ekstremite veya üst ekstremite protezi kullanan 151 birey dahil edildi.Q-YTKMD anketinin Türkçe çevirisi yapılarak, bireylere 7 gün ara ile 2 kez uygulandı.Anketin güvenirliği test-tekrar test yöntemi (sınıf içi korelasyon katsayısı-ICC) ile değerlendirilirken, iç tutarlılık Cronbach ile analiz edildi.Anketin geçerliği, cihaz ve servis memnuniyetini sorgulayan vizüel analog skalası ile ilişkisine (Pearson korelasyon katsayısı) bakılarak değerlendirildi.Bulgular: Q-YTKMD-TR anketinin test -tekrar test güvenilirliği mükemmel bulundu (ICC= 0,96, %95 güven aralığı: 0,944-0,976).Anketin iç tutarlık değeri çok iyi olarak tespit edildi.Cronbach katsayısı, anketin toplam skoru için 0,851, yardımcı cihaz memnuniyeti alt başlığı için 0,801 ve hizmet memnuniyeti alt başlığı için 0,835 idi.Q-YTKMD-TR anketi toplam skorunun, vizüel analog skalası gösterdiği yüksek korelasyonlar, anketin çok iyi derecede geçerliliği olduğunu ifade etmekteydi.Sonuç: Bu çalışmanın sonuçlarına göre Q-YTKMD-TR anketi, protez ve ortez kullanıcılarında, bireylerin yardımcı cihaz memnuniyetini değerlendirmede geçerli ve güvenilir bir yöntem olması ile Türk popülasyonunda uygulanabileceği düşünülmektedir.Anahtar kelimeler: Yardımcı cihaz, Memnuniyet, Ortez, Protez.Turkish adaptation of the Quebec User Evaluation of Satisfaction with Assistive Technology 2.0 with users of prosthetics and orthotics Purpose: Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST-2.0) is a standardized scale which is widely used for assessment of satisfaction of individuals using different types of assistive devices.The aim of this study was to analyze validity and reliability properties of the QUEST in individuals using prosthetics and orthotics in Turkish population.Methods: One hundred fifty-one individuals, who uses lower extremity orthosis, spinal orthosis, lower extremity or upper extremity prosthesis were included in the study.QUEST was translated into Turkish language and administrated to the participants for two sessions with 7 days interval.Reliability of QUEST was tested with test-retest method (intraclass correlation coefficient-ICC), while internal consistency was analyzed with Cronbach .The validity was assessed using the correlation between the QUEST and Visual analog scale, which measures assistive device and service satisfaction.Results: Test-retest reliability of the QUEST was found to be perfect (ICC= 0.96, 95% confidence interval: 0.944-0.976).Internal consistency of the QUEST was very good.The Cronbach alpha was found 0.851 for total score, 0.801 for assistive device subscale and 0.835 for service subscale.The high correlations between QUEST and Visual analog scale defined very good validity.Conclusion: Findings of this study revealed that Turkish QUEST is valid and reliable method and considered to be applicable for assessment of individual satisfaction with assistive device in people using prosthetics and orthotics in Turkish 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.008 |
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".