Cross‐cultural adaptation and validation of the Persian version of the Preparedness Assessment for the Transition Home After Stroke instrument: a methodological study
Bibliographic record
Abstract
BACKGROUND: The successful transition of stroke patients from hospital to home relies on the preparedness of caregivers. Assessing this preparedness is crucial, but existing tools need adaptation and validation for Iranian caregivers. OBJECTIVES: This study aimed to translate, culturally adapt, and validate the Persian version of the "Preparedness Assessment for the Transition Home After Stroke" (PATH-s) for use among Iranian caregivers of stroke survivors. It also assessed the association of patient and caregivers' characteristic association with the final PATH score. METHODS: The PATH-s was translated and culturally adapted using the Backward-Forward translation method and expert consultations. Face and content validity were ensured through input from both caregivers and experts. Participants were recruited from two referral hospitals in Tehran, Iran. The sample consisted of 386 caregivers, 74.4% female with a mean age of 47.18 years (SD = 12.2). Construct validity was assessed using Exploratory and Confirmatory Factor Analyses (EFA and CFA). Convergent validity was evaluated through the correlation with Zarit Burden Interview scores. Reliability was tested through internal consistency (Cronbach's alpha) and test-retest reliability (Intraclass Correlation Coefficient, ICC). RESULTS: < 0.001). Reliability analysis showed good internal consistency (Cronbach's alpha = 0.84) and excellent test-retest reliability (ICC = 0.96). CONCLUSIONS: The Persian version of PATH-s is a valid and reliable tool for assessing caregiver preparedness in Iran. Its use can improve patient outcomes and caregiver support during hospital-to-home transitions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".