Psychometric Properties of Organizational Cultural Competence Instrument in Tehran University of Medical Sciences
Bibliographic record
Abstract
Background and Aim: World Health Organization (WHO) has prioritized cultural competence to provide high-quality healthcare and patient-centered services. Therefore, it is necessary to develop them for all organizational levels. The present study aimed to determine the validity and reliability of the Persian version of OHCC (Ontario Healthy Communities Coalition) organizational cultural competence (2005) instrument in Tehran University of Medical Sciences (TUMS). Material and Methods: In order to confirm reliability, 143 staff members (nurses and physicians) in different administrative positions working in Imam Khomeini educational Hospital, completed the questionnaire. Modified HSR toolkit for translating and adapting instrument, was used for contextualizing the questionnaire: first, two medical education experts who were proficient in English translated it. Then, the content validity of Persian version was confirmed using Lawshe method (CVR and CVI = 0.79); its internal consistency was calculated by Cronbachchr('39')s alpha coefficient (0.91). It was backward translated to compare with the original copy and was sent to experts for their approval. Construct validity was calculated by LISREL software and the result showed that the questions were fit to the domains. The KMO, calculated for this instrument, was 0.75 and α was less than 0.05. Results: Content validity was confirmed by deleting two items from the original 22-item questionnaire. Cronbachchr('39')s alpha was calculated as 0.95 following the removal of two items. Conclusion: The organizational cultural competence instrument was confirmed to be valid and reliable with 20 items in Iranian context.
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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 | 0.008 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".