Complementary and alternative medicine recommendations for depression: a systematic review and assessment of clinical practice guidelines
Bibliographic record
Abstract
BACKGROUND: Up to 50% of individuals diagnosed with depression are known to use complementary and alternative medicine (CAM). The aim of this study was to identify the quantity and assess the quality of CAM recommendations in clinical practice guidelines for the treatment and/or management of depression in adults using the Appraisal of Guidelines, Research and Evaluation II (AGREE II) instrument. METHODS: A systematic review was conducted to identify depression guidelines. MEDLINE, EMBASE and CINAHL were searched from 2008 to 2018. The Guidelines International Network and the National Center for Complementary and Integrative Health websites were also searched. Eligible guidelines published by non-profit agencies on treatment of depression for adults were assessed with the AGREE II instrument twice, once for the overall guideline and once for the CAM sections. RESULTS: From 931 unique search results, 19 guidelines mentioned CAM, of which 16 made CAM recommendations. Scaled domain percentages from highest to lowest were as follows (overall, CAM section): clarity of presentation (87.0, 66.1%), scope and purpose (80.9, 77.6%), stakeholder involvement (62.0, 44.3%), editorial independence (61.6, 61.6%), rigour of development (58.0, 52.0%), and applicability (42.2, 25.4%). Quality varied within and across guidelines. Only 1 of 16 guidelines was recommended without modifications for both its overall and CAM sections by both appraisers. CONCLUSIONS: There are multiple depression guidelines containing CAM recommendations available and there are a comprehensive set of CAM therapy options for depression. The quality of guidelines varied within and across guidelines and the quality of CAM recommendations was generally lower than the overall recommendations in the guidelines for all domains except editorial independence. Generally, characteristics of guidelines, including the year of publication and region of development varied across the guidelines irrespective of quality. Guidelines with higher AGREE II scores can serve as a guide to facilitate communication between patients and medical professionals regarding CAM use for depression, while guidelines with lower scores could be improved in future updates using the AGREE II instrument as a guide.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".