Selection of a quality of life instrument for polio survivors in Northwest Nigeria
Bibliographic record
Abstract
BACKGROUND: To generate high-quality evidence, contextually relevant outcome measurement instruments are required. Quality of life evaluation among polio survivors typically involves the use of generic instruments, which are developed and validated among a different groups of people. There is no clear evidence whether these instruments are appropriate for the measurement of quality of life among polio survivors in northwest Nigeria. The purpose of this review is to identify and select a pre-existing instrument that is best suited for the measurement of quality of life among polio survivors in northwest Nigeria. METHODS: Using the findings of a previous scoping review of the literature and qualitative descriptive study, we screened 11 quality of life instruments that are used in polio literature. We identified and selected the most appropriate instrument, which reflected the perspectives of polio survivors in northwest Nigeria and at the same time exhibited good measurement properties. RESULTS: The Quality of Life Index, World Health Organization Quality of Life Brief, and Comprehensive Quality of Life Scale are consistent with the perspectives of polio survivors in northwest Nigeria and have satisfactory measurement properties. Among these instruments, the Quality of Life Index satisfied most of the screening criteria we employed and is suitable for cross-cultural adaptation in northwest Nigeria. CONCLUSION: Most instruments that are employed to evaluate the quality of life of polio survivors were not primarily designed as a measure of quality of life. To select the appropriate instrument, there is a need to consider and reflect the perspectives of the individuals, to improve the validity of the measurement.
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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 | 0.034 | 0.091 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".