Cross-cultural translation, adaptation, and validation of the Amharic version pain self-efficacy questionnaire in people with low back pain in Ethiopia
Bibliographic record
Abstract
BACKGROUND: The Pain Self-Efficacy Questionnaire (PSEQ) is a valid and reliable instrument that evaluates pain self-efficacy beliefs in people with pain conditions. However, it has not been validated and used in Ethiopia. We conducted this study to translate, adapt, and test the psychometric properties of the PSEQ in the Amharic language and Ethiopian context for its use with people experiencing low back pain (LBP). METHODS: The PSEQ was translated into Amharic and then back-translated into English. An expert review committee created a final Amharic version of the tool (PSEQ-Am), followed by pilot testing and cognitive debriefing with a sample of 20 people with LBP. The psychometric properties of the final version of PSEQ-Am were assessed in a sample of 240 people with LBP recruited from three rehabilitation centers in Ethiopia. Cronbach's alpha and Intra-class correlation coefficient were calculated to describe the reliability and internal consistency of the tool. The SF-36-Am bodily pain subscale was used to assess convergent validity. Confirmatory Factor Analysis (CFA) and Exploratory Factor Analysis (EFA) were performed to determine the dimensionality of the instrument. RESULTS: PSEQ-Am demonstrated excellent test-retest reliability (ICC = 0.93) and internal consistency (Cronbach's alpha = 0.91). As hypothesized, the tool demonstrated a significant moderate correlation with the Bodily Pain subscale of the SF-36-Am (Rho = 0.51, p < 0.01). EFA analysis shows that the Amharic version of PSEQ is a dominant one factor and secondary two factor structure. CONCLUSION: This study shows that PSEQ-Am is a reliable and valid tool that can be used in both clinical practice and research in the Ethiopian low back pain population.
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How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".