Development and content validity of the musculoskeletal self-management questionnaire (MSK-SMQ)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Self-management is recommended for managing persistent musculoskeletal conditions. In self-management, standardized and validated measurements (e.g., questionnaires) should be used. However, there is no general questionnaire to evaluate the level of self-management in people with persistent musculoskeletal conditions. OBJECTIVES: To develop a generic questionnaire to evaluate the level of self-management and self-management skills in people with persistent musculoskeletal conditions. DESIGN: Measurement properties study focused on the development and content validity of the Musculoskeletal Self-Management Questionnaire (MSK-SMQ). METHODS: The MSK-SMQ was developed, consisting of 24 questions. To assess the content validity of the MSK-SMQ, three panels (patients, professionals, researchers/academics) were used. The relevance, clarity and essentiality of each question was evaluated. Moreover, specific feedback could be provided. The Content Validity Index (CVI) was used to test content validity (Item-CV [I-CVI]) and the Scale-level-CVI [S-CVI]). The CVI was calculated for both relevance and clarity. The essentiality of each item was measured with the content validity ratio (CVR). RESULTS/FINDINGS: 91 people participated in this study. The overall content validity (relevance) was excellent, with an S-CVI of 0.96. Overall clarity was also excellent, with a score of 0.97. The range of the I-CVI for relevance was 0.91-1.00 and the range for clarity was 0.93-1.00. The mean CVR value was 0.51 and ranged from 0.14 to 0.87. CONCLUSIONS: The content validity of the questionnaire was found to be excellent. The study resulted in a revised version of the MSK-SMQ, which can be used in future research to determine further psychometric properties.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it