Assessment of use of complementary alternative medicine and its impact on quality of life in the patients attending rheumatology clinic, in a tertiary care centre in India
Bibliographic record
Abstract
PURPOSE: Complementary and alternative medicine (CAM) has witnessed an increase in use in recent times in rheumatological conditions and is expected to have impact on the quality of life (QOL). We had planned to conduct this study to investigate the extent of use of CAM and its effect on QOL of patients at a tertiary care center. MATERIALS AND METHODS: Ethics committee approval was obtained. Sixty patients suffering from osteoarthritis (OA) and rheumatoid arthritis (RA) were enrolled as per the selection criteria, after obtaining their informed consent. Each patient was interviewed for CAM use/non-use, and Western Ontario and McMaster Universities (WOMAC) (modified) index for QOL was recorded by the study personnel. STATISTICAL ANALYSIS: The normality was checked by using Kolmogorov-Smirnov test. Descriptive statistics was performed and Mann-Whitney U-test was used to compare the QOL of CAM users and non-users. RESULTS: Of the 60 patients enrolled with OA (10) and RA (50), 58% (35/60) used CAM. Ayurveda and massage therapy were the commonest [80% (28/35)], followed by yoga asana [34% (12/35)] and homoeopathy [20% (7/35)]. It was observed that combinations of therapies were used too. Nearly half [49% (17/35)] of the CAM users were on self-prescribed medication and 71% (25/35) of them did not inform the physician of CAM use. The QOL of CAM users (WOMAC score: 56.31 ± 6.82) was better than that of CAM non-users (WOMAC score: 60.16 ± 4.02) (P value 0.01). CONCLUSION: Patients with RA frequently used CAM and QOL improvised with CAM use. We observed that self-administration of CAM was common and this was not informed to the treating physician.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".