Evidence-Based Physical Therapy Practice in the State of Kuwait: A Survey of Attitudes, Beliefs, Knowledge, Skills, and Barriers
Bibliographic record
Abstract
BACKGROUND: Evidence-based practice (EBP) is necessary to improve the practice of physical therapy. However, a lack of knowledge and skills among physical therapists and the presence of barriers may hinder the implementation of EBP in the State of Kuwait. OBJECTIVE: The objectives of this study were to extensively (1) investigate attitudes toward EBP, (2) assess the current level of knowledge and skills necessary for EBP, and (3) identify the barriers to EBP among physical therapists in the State of Kuwait. METHODS: The following methods were used: (1) a previously validated self-reported questionnaire and (2) a face-to-face semistructured interview. The questionnaire, which was distributed to 200 physical therapists, examined the attitudes and beliefs of physical therapists about EBP; the interest in and motivation to engage in EBP; educational background, knowledge, and skills related to accessing and interpreting information; the level of attention to and use of the literature; access to and availability of information to promote EBP; and the perceived barriers to using EBP. The interview explored the factors that promote or discourage EBP. Descriptive statistics and logistic regression analyses were used. RESULTS: Of the 200 nonrandomly distributed questionnaires, 92% (184/200) were completed and returned. In general, the physical therapists had positive attitudes, beliefs, and interests in EBP. Their educational background, knowledge, and skills related to assessing and interpreting information were well-founded. The top 3 barriers included insufficient time (59.2%, 109/184), lack of information resources (49.4%, 91/184), and inapplicability of the research findings to the patient population (40.7%, 75/184). CONCLUSIONS: EBP lacks support from superiors at work. Thus, identifying methods and strategies to support physical therapists in adopting EBP in the State of Kuwait is necessary.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".