Assessment of Barriers, Supports, and Context to Implement Best Practice Pain Management in the Emergency Department: The IMPAINED Study
Bibliographic record
Abstract
AIM: To assess the emergency department practice context and identify strategies to improve outcomes of patients with acute pain. BACKGROUND: Effective treatment of acute pain in the emergency department depends upon clinicians adopting pain interventions into practice. However, it is well-recognized that acute pain is often undertreated. The local practice context strongly influences clinicians' adoption of interventions into their clinical practice. An assessment of this practice context can inform implementation interventions and strategies to improve outcomes for patients with acute pain. METHODS: Chart audit, staff survey, and staff working groups were conducted from June 2020 to May 2021 Data were analyzed and synthesized across sources informed by assessment elements of the Ottawa model of research use (OMRU) implementation model and expert recommendations for implementing change strategies. RESULTS: The OMRU facilitated contextual assessment of pain treatment practice in the emergency department and the development of implementation strategies. Adoption of evidence-based pain interventions was low in the sample studied. Workflow and workload were the primary barriers to evidence-based pain practices by potential adopters, while positive beliefs and high awareness of evidence-based pain interventions were supportive factors. Implementation strategies were informed by assessment findings and mapped to the Ottawa model and expert recommendations for implementing change elements. CONCLUSION: The adoption of evidence into practice in the emergency department relies upon a comprehensive assessment of the local context. The use of the OMRU assessment process resulted in meaningful engagement with staff and a deeper understanding of local pain management practices. Clinicians view evidence-based pain management as important, however, there are competing priorities within the emergency department, such as patient flow and triage. This study provides an exemplar of utilizing an implementation framework to identify pain practices within the emergency department. CLINICAL IMPLICATIONS: Achieving impactful change in clinical practice to improve patient outcomes should start with the application of implementation methods that enable comprehensive analysis of the local practice context. The assessment should begin with collaboration with local clinicians that persist throughout the life of the study to ensure change is sustainable.
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 | 0.059 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".