Health literacy status and its relationship with physical therapy and rehabilitation applications in patients with knee osteoarthritis
Bibliographic record
Abstract
Objectives: The study aimed to determine the level of health literacy in patients with knee osteoarthritis and investigate the relationship between health literacy and exercise approaches and physical therapy use. Patients and methods: The cross-sectional study included 203 patients (143 females, 60 males; mean age: 63.5±9.2 years) between November 2018 and September 2019. Sociodemographic data, exercise habits, the number of applications to the physical medicine and rehabilitation outpatient clinic, and physical therapy applications were recorded. The Turkish Health Literacy Scale-32 (THLS-32), was used to determine health literacy. The Western Ontario and McMaster Universities Arthritis Index (WOMAC) was used to evaluate pain and physical function. The relationship between THLS-32 and the number of admissions to the outpatient clinic, the number of physical therapy applications, exercise frequency, and WOMAC scores were investigated. Results: The median THLS-32 of the patients was 33.8 (13-46.8). A statistically significant negative correlation was found between THLS-32 scores and the number of admissions to the physical medicine and rehabilitation outpatient clinic for knee pain in the last year, the number of physical therapies, the exercise frequency, and total WOMAC scores. Conclusion: Increasing health literacy strengthens the capacities and participation of patients, reduces the costs of physical therapy, as well as medication costs, and consequently increases efficiency in the use of health services.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".