Analysis of the Covid-19 pandemic impact on osteoarthritis patient visits at physiotherapy clinics in Indonesia – A retrospective cohort study
Bibliographic record
Abstract
Objectives: This study aimed to determine the impact of visits by knee OA patients to physiotherapy clinics in Indonesia during the Covid-19 pandemic. Method: This retrospective cohort study collected data from knee OA patients seeking treatment at a physiotherapy clinic in Makassar, Indonesia, from January to December 2021. The number of patient visits per month was compared using descriptive statistics. The treatment outcomes were measured in Visual Analogue Scale (VAS) and Western Ontario and McMaster Universities Osteoarthritis (WOMAC) Index and analyzed using inferential statistics. Result: During the Covid-19 pandemic, there was a decrease in knee OA patient visits to physiotherapy clinics. Knee OA patient visits increased after the vaccination program was implemented, especially for patients who had been vaccinated with the full dose. Conclusion: The frequency of knee OA patient visits to physiotherapy clinics decreased during the Covid-19 pandemic. It impacted the outcome of treatment received by the patients. However, patient visits increased after the vaccination program was implemented.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".