Barriers to the Implementation of Practice Guidelines in Managing Patients with Nonvariceal Upper Gastrointestinal Bleeding: A Qualitative Approach
Bibliographic record
Abstract
BACKGROUND/OBJECTIVE: Guidelines for the management of patients with nonvariceal upper gastrointestinal bleeding (NVUGIB) are inconsistently applied by health care providers, potentially resulting in suboptimal care and patient outcomes. A needs assessment was performed to assess health care providers' barriers to the implementation of these guidelines in Canada. METHODS: Semistructured telephone interviews were conducted by trained research personnel with 22 selectively sampled health care professionals actively treating and managing NVUGIB patients, including emergency room physicians (ER), intensivists (ICU), gastroenterologists (GI), gastroenterology nurses and hospital administrators. Participants were chosen from a representative sample of six Canadian community- and academic-based hospitals that participated in a national Canadian audit on the management of NVUGIB. RESULTS: Participants reported substantive gaps in the implementation of NVUGIB guidelines that included the following: lack of knowledge of the specifics of the NVUGIB guidelines (ER, ICU, nurses); limited belief in the value of guidelines, especially in areas where evidence is lacking (ER, ICU); limited belief in the value of available tools to support implementation of guidelines (GI); lack of knowledge of the roles and responsibilities of health care professions and disciplines, and lack of effective collaboration skills (ER, ICU and GI); variability of knowledge and skills of health care professionals within professions (eg, variability of nurses' knowledge and skills in endoscopic procedures); and perceived overuse of intravenous proton pump inhibitor treatment, with limited concern regarding cost or side effect implications (all participants). CONCLUSIONS: In the present study population, ER, ICU and nurses did not adhere to NVUGIB guidelines because they were neither aware of nor familiar with them, whereas the GI lack of adherence to NVUGIB guidelines was influenced more by attitudinal and contextual barriers. These findings can guide the design of multifaceted educational and behavioural interventions when attempting to effectively disseminate existing guidelines, and for guideline implementation into practice.
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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 | 0.032 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".