Interventions to change clinicians’ behavior in relation to suicide prevention care in the emergency department: a scoping review protocol
Bibliographic record
Abstract
OBJECTIVE: This review aims to explore, characterize, and map the literature on interventions implemented to change emergency department clinicians' behavior related to suicide prevention using the Behavior Change Wheel as a guiding theoretical framework. INTRODUCTION: An emergency department is a critical place for suicide prevention, yet many patients who present with suicide-related thoughts and behaviors are discharged without proper assessment or appropriate treatment. Supporting clinicians (who provide direct clinical care, including nurses, physicians, and allied health professionals) to make the desired behavior change following evidence-based suicide prevention care is an essential step toward improving patient outcomes. However, reviews to date have yet to take a theoretical approach to investigate interventions implemented to change clinicians' behavior. INCLUSION CRITERIA: This review will consider literature that includes interventions that target emergency department clinicians' behavior related to suicide prevention. Behavior change refers to observable practice changes as well as proxy measures of behavior change, including knowledge and attitudes. There are many ways in which an intervention can change clinicians' behavior (eg, education, altering service delivery). This review will include a wide range of interventions that target behavior change regardless of the type, but will exclude interventions that exclusively target patients. METHODS: Multiple databases will be searched: PubMed, PsycINFO, CINAHL, and Embase. We will also include gray literature, including Google search, ProQuest Dissertations and Theses Global, and Scopus conference papers. Full texts of included studies will be reviewed, critically appraised, and extracted. Extracted data will be coded to identify intervention functions using the Behavior Change Wheel. Findings will be summarized in tables accompanied by narrative reports.
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 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 | 0.075 | 0.069 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.013 | 0.015 |
| Bibliometrics | 0.023 | 0.021 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.042 | 0.008 |
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".