Perceived barriers to therapeutic hypothermia for patients resuscitated from cardiac arrest: A qualitative study of emergency department and critical care workers*
Bibliographic record
Abstract
OBJECTIVE: To identify the barriers to implementation of mild therapeutic hypothermia for adult survivors of cardiac arrest. Despite scientific evidence to support therapeutic hypothermia for resuscitated cardiac arrest patients, it is inconsistently and at times inadequately used. DESIGN: Qualitative study, using semistructured interviews. SETTING: A stratified random sample of 14 sites from an established network of 43 hospitals, including both community and tertiary care centers in Southern Ontario, Canada. PARTICIPANTS: Twenty-one intensive care unit and emergency department physicians and nurses. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Purposive sampling was used to interview individuals who were most likely to be involved in the implementation and evaluation of the hypothermia protocol. All interviews were conducted by telephone by a clinician and a qualitative researcher. Interviews were recorded electronically and transcribed unless the participant declined to have the interview recorded. Untranscribed interviews were recorded as field notes and as direct quotations. New interviews were conducted until thematic saturation occurred. The analysis was completed through three phases of coding. Respondents identified lack of familiarity and availability of concrete therapeutic hypothermia protocols and process issues as the most frequent barriers. Process concerns included availability of equipment, equipment costs, and high workload demands for emergency nurses. Other barriers identified were variable nursing awareness, variable staff uptake, lack of agreement with supporting evidence, lack of interdisciplinary collaboration between the intensive care unit and emergency department, lack of interprofessional education between nurses and physicians, and challenges inherent in applying an intervention infrequently. CONCLUSIONS: This study demonstrated that the systematic adoption of a new intervention, therapeutic hypothermia, is met with interdependent generic, local, and individual barriers. A working awareness of the types of barriers that exist at multiple sites will assist in targeting specific knowledge translation strategies to improve adherence to evidence-based 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 | 0.015 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".