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Record W2329842587 · doi:10.1097/brs.0000000000000681

Cultural Adaptation, Reliability, and Validity of Neck Disability Index in Indian Rural Population

2014· article· en· W2329842587 on OpenAlexaff
Sibi Daniel Joseph, Bharati Bellare, Howard Vernon

Bibliographic record

VenueSpine · 2014
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsCanadian Memorial Chiropractic College
Fundersnot available
KeywordsIntraclass correlationConstruct validityMedicineMarathiCronbach's alphaReliability (semiconductor)Visual analogue scaleValidityNeck painPopulationCriterion validityPhysical therapyClinical psychologyPsychometricsPathologyAlternative medicine

Abstract

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In Brief Study Design. A cross-sectional study to develop a cultural adaptation of the Marathi–neck disability index (NDI) and to investigate its validity and reliability. Objective. To conduct a study concerning the cultural adaptation of the NDI and investigate the validity and reliability of its Marathi version in patients with neck pain. Summary of Background Data. The NDI is a reliable instrument for evaluating self-rated disability due to neck pain, but there is no published Marathi version and also it has not been tested on a rural population yet. Successful linguistic and cultural translation may allow appropriate cross-cultural comparison for clinical and laboratory research analysis, even in the rural parts of the Maharashtra state of India, where English is not the language of communication. Methods. Eighty-one patients having neck pain for at least 3 months were included in the study. The NDI and visual analogue scale for pain were completed by all subjects. Test-retest reliability was determined by using intraclass correlation coefficient and Pearson correlation analysis. For the determination of construct validity, the relation between the NDI and visual analogue scale was examined by Pearson correlation analysis. Results. Intraclass correlation coefficient score for test-retest reliability was 0.95 and the Cronbach α was 0.97. For construct-related validity the correlation of the NDI–Marathi version was found to be 0.95 (P < 0.0001). These results showed that the construct validity of the Marathi version of the NDI was excellent. Conclusion. The results suggest that the Marathi version of the NDI that is validated in this study is an easy to comprehend, reliable, and valid instrument for the measurement for the limitation of activities of daily living and pain caused by neck disorders in the Marathi-speaking population. Level of Evidence: 2 A cross-sectional study was done to develop a cultural adaptation of the Marathi–neck disability index and to investigate its validity and reliability in patients with chronic neck pain. The results suggested that the Marathi version of the neck disability index validated in this study was an easy to comprehend, reliable, and valid instrument for the measurement of the limitation of activities of daily living and pain caused by neck disorders in the Marathi-speaking population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.015
GPT teacher head0.294
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreMethods

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".

Quick stats

Citations10
Published2014
Admission routes1
Has abstractyes

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