Barriers and facilitators to early rehabilitation in mechanically ventilated patients—a theory-driven interview study
Bibliographic record
Abstract
BACKGROUND: Despite a supportive evidence base and a push to implement, the uptake of early rehabilitation in critical care has been inconsistent. The objective of this study was to explore barriers and facilitators to early rehabilitation for critically ill patients receiving invasive mechanical ventilation. METHODS: Using the Theoretical Domains Framework (TDF) of behavior change, we conducted semi-structured interviews exploring barriers and facilitators to early rehabilitation among four purposively sampled ICU clinician groups (nurses, rehabilitation professionals, respiratory therapists, and physicians). The TDF is a comprehensive framework of 14 "construct domains," synthesized from 33 theories of behavior that was developed to study determinants of behavior and to design interventions to improve evidence-based healthcare practice. A topic guide was developed and piloted based on the TDF and expert knowledge. Interviews were audio-recorded and transcribed verbatim. Transcripts were content analyzed by coding items into domains and then synthesized into more specific, over-arching themes or "beliefs." An expert consensus group used structured decision rules to classify beliefs as high, moderate, or low in importance. RESULTS: We interviewed 40 stakeholders from the four clinician groups and identified 135 separate beliefs. Of these, 19 were classified as high, 40 as moderate, and 76 of low importance as barriers or facilitators. All beliefs classified as highly important fell within one of seven TDF domains: skills, social/professional role and identity, beliefs about capabilities, beliefs about consequences, environmental context/resources, social influences, and behavioral regulation. Beliefs of lower importance fell under the following seven domains: knowledge; optimism; reinforcement; intention; goals; memory, attention, and decision processes; and emotion. Quantitative differences in stated beliefs about early rehabilitation between professional groups were not common. CONCLUSIONS: This study identified important barriers and facilitators to early rehabilitation in critical care patients. Domains identified as important should be considered when designing interventions to increase uptake of early rehabilitation.
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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 | 0.018 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| 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".