Practitioner Review: On the trustworthiness of clinical practice guidelines – a systematic review of the quality of methods used to develop guidelines in child and youth mental health
Bibliographic record
Abstract
BACKGROUND: Numerous practice guidelines (PGs) relevant to child and youth mental health (CYMH) are available, but their quality is uncertain. We used systematic review methodology to identify the methods employed to develop PGs in CYMH and assess whether they align with international quality standards. METHODS: We used prespecified inclusion criteria to search for CYMH PGs (2009-2014) in journals of professional associations or websites of organizations who produce or house PGs. Eligible PGs and organization websites were screened to identify PG development methods. Two reviewers assessed the alignment of the PG development methods with PG quality criteria using the Appraisal of Guidelines for Research and Evaluation (AGREE II) domains and Institute of Medicine (IOM) standards. RESULTS: Five sets of eligible development methods were identified in 70 eligible PGs. Three sets adhered to all (National Institute for Health and Care Excellence; Scottish Intercollegiate Guidelines Network) or most (U.S. Preventive Services Task Force) AGREE II domains and IOM standards, and were used to develop 31.4% of PGs. The two remaining sets of development methods had important weaknesses (e.g. lack of mandatory rigorous systematic reviews, multidisciplinary development groups, or transparent conflict of interest methods) and were associated with 21.4% of PGs. No development methods could be identified in 40.0% of PGs; ineligible development methods were referenced in 7.1% of PGs. CONCLUSIONS: Up to 69% of available CYMH PGs may have been developed using methods that do not align with AGREE II quality criteria or IOM standards. The quality of available CYMH PGs needs to be assessed, and strategies designed to guide practitioners to high quality PGs and facilitate adherence by PG developers to international quality standards are needed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.069 | 0.155 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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; both teacher heads agree on what is shown here.
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".