Identifying low-value clinical practices in critical care medicine: protocol for a scoping review
Bibliographic record
Abstract
INTRODUCTION: Reducing unnecessary, low-value clinical practice (ie, de-adoption) is key to improving value for money in healthcare, especially among patients admitted to intensive care units (ICUs) where resource consumption exceeds other medical and surgical populations. Research suggests that low-value clinical practices are common in medicine, however systematically and objectively identifying them is a widely cited barrier to de-adoption. We will conduct a scoping review to identify low-value clinical practices in adult critical care medicine that are candidates for de-adoption. METHODS AND ANALYSIS: We will systematically search the literature to identify all randomised controlled trials or systematic reviews that focus on diagnostic or therapeutic interventions in adult patients admitted to medical, surgical or specialty ICUs, and are published in 3 general medical journals with the highest impact factor (New England Journal of Medicine, The Lancet, Journal of the American Medical Association). 2 investigators will independently screen abstracts and full-text articles against inclusion criteria, and extract data from included citations. Included citations will be classified according to whether or not they represent a repeat examination of the given research question (ie, replication research), and whether the results are similar or contradictory to the original study. Studies with contradictory results will determine clinical practices that are candidates for de-adoption. ETHICS AND DISSEMINATION: Our scoping review will use robust methodology to systematically identify a list of clinical practices in adult critical care medicine with evidence supporting their de-adoption. In addition to adding to advancing the study of de-adoption, this review may also serve as the launching point for clinicians and researchers in critical care to begin reducing the number of low-value clinical practices. Dissemination of these results to relevant stakeholders will include tailored presentations at local, national and international meetings, and publication of a manuscript. Ethical approval is not required for this study.
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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 | 0.109 | 0.290 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".