Cross-cultural adaptation and validation of the Canadian Haemophilia Outcomes-Kids’ Life Assessment Tool (CHO-KLAT) in Côte d’Ivoire (the Ivory Coast)
Bibliographic record
Abstract
Abstract Introduction Health-related quality of life evaluation is recognized as an important outcome in the assessment of boys with haemophilia. In fact, reliable health-related quality of life data are even more critical in developing countries to advocate for government agencies to develop national haemophilia care programmes. However, validated tools are not yet available in sub-Saharan African countries. Aims The purpose of this study was to complete the cultural adaptation and validation of the Canadian Haemophilia Outcomes-Kids’ Life Assessment Tool version2.0 (CHO-KLAT2.0) in Côte d’Ivoire. Methods The process included four steps: a linguistic adaptation, cognitive debriefing interviews with children and their parents, a validity assessment with the Pediatric Quality of Life Inventory (PedsQL) as a comparator, and a test-retest reliability assessment. Results The initial Ivoirian version of the CHO-KLAT2.0 was developed through a linguistic adaptation performed in close collaboration with members of the local medical team and haemophilia community. Cognitive debriefings were completed with five boys and their parents, with the final Ivoirian version of the CHO-KLAT2.0 developed in September 2017. The validation process included 37 boys with haemophilia (mean age: 11.4 years; 34 with severe and three with moderate forms of haemophilia, all treated on demand) and their parents. Among the child-reported population (n = 20), we observed a mean CHO-KLAT2.0 score of 51.3 ± 9.2; there was a moderate correlation between the CHO-KLAT2.0 and PedsQL scores (r = 0.581; p = 0.007) and an inverse correlation of the CHO-KLAT2.0 and PedsQL scores with the global rating of the degree to which the boys were bothered by their haemophilia. The mean parent proxy CHO-KLAT2.0 score (n = 17) was 53.5 ± 9.8. Among the parents, we found no significant correlation between the Ivoirian CHO-KLAT2.0 and PedsQL scores or between the parent-reported scores and the parent global ratings of bother. The test-retest intraclass correlation coefficient was 0.879 (95% CI: 0.673; 0.954) for the child-reported questionnaires and 0.880 (95% CI: 0.694; 0.955) for the proxy-reported questionnaires. Conclusions A cross-culturally adapted and validated version of the CHO-KLAT2.0 for Côte d’Ivoire is now available that enables baseline values to be obtained and intervention outcomes (namely, prophylaxis) to be measured in Ivoirian boys with haemophilia.
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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 | 0.018 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".