Translation, cultural adaptation and revalidation of the Reintegration to Normal Living (RNL)-Index for use in Spain
Bibliographic record
Abstract
The "International Classification of Functioning, Disability and Health" (ICF) is a model that classifies health and health-related function. Of the ICF domains, least is known about participation. Although a few measures have been developed in English that tap the construct "Participation", none exist in Spanish. The Reintegration to Normal Living (RNL)-Index is the measure of reference to evaluate participation. The general objective of the present study was to translate, culturally adapt, and assess the psychometric properties the RNL-Index in Spanish for use in Spain. The translation and the cultural adaptation of the RNL-Index consisted of a five-step process, leading to the Spanish version of the RNL-Index (SRNL-Index). Psychometric evaluation consisted of a cross-sectional study design, with a longitudinal design used for test-retest evaluation. Thirty-two subjects with stroke and 36 with total knee arthroplasty completed the SRNL-Index twice, as well as the Six Minute Walk Test (6MWT), the Short-Form 36 Health Survey (SF-36), and for stroke subjects, the Barthel Index (BI). Descriptive statistics, one-way analysis of variance and post-hoc t tests were calculated, as well as Cronbach's alpha, Pearson's, and Intraclass correlation coefficients. The SRNL-Index was found to be internally consistent. Test-retest reliability was quite poor, being moderately low for the TKA sample and moderate for the stroke sample. Discriminant validity was demonstrated by the correlations between the SRNL-Index's Perception of Self and Daily Activity subscales with the Mental and Physical Component Summary scores of the SF-36. The SRNL-Index has convergent validity as shown by the high correlations between of the SRNL-Index and the 6MWT. Known-groups validity was shown in people with stroke grouped by Barthel Index scores, and in both samples when grouped according to gait speed. The SRNL-Index demonstrated acceptable validity and internal reliability for subjects with stroke and total knee arthroplasty. However, further studies are needed to reassess external validity, reliability, and responsiveness in other populations and other Spanish-speaking countries.
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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 | 0.009 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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".