Improving transparent team communication with the ‘Glass Door’ decal communication tool: a mixed methods analysis of family and staff perspectives
Bibliographic record
Abstract
OBJECTIVE: To determine the value and perspectives of intensive care unit (ICU) healthcare professionals (HCPs) and families about the Glass Door (GD) decal team communication tool. DESIGN: Quality improvement methodology was used to design, test and implement the GD. Uptake was measured through audit. Impact was assessed through mixed methodology (survey of ICU HCPs (n=96) and semi-structured interviews of HCPs (n=10) and families (n=7)). SETTING: Eighteen bed, closed, mixed medical-surgical-cardiac ICU in a tertiary care, university-affiliated, paediatric hospital. POPULATION: Interdisciplinary ICU HCPs and families of children admitted to the ICU. INTERVENTION: A transparent template (the GD) applied to the outside of ICU patients' doors with sections for HCPs names, physiological goals and planned tests and treatments for the day. Medical staff completed the GD in rounds (AM and PM) and any HCP caring for the patient updated it throughout the day. MEASUREMENTS AND MAIN RESULTS: After 3 months, 96% of 613 doors were employed of which 99% respected confidentiality. ICU HCPs reported improved understanding of the patient's plan (84% today vs 59% pre-GD, p<0.001) and sense that families were up-to-date (79% today vs 46% pre-GD, p<0.001). Based on semi-structured interviews, the GD promoted a shared understanding of the plan contributing to care continuity. The GD reassured families the team is working together and fostered family engagement in the care. Routine family experience surveys showed no change in families' sense of privacy during admission; families denied the GD's anticipated compromise of confidentiality. CONCLUSIONS: The GD decal communication tool, visible on the patient's door, improved ICU HCPs' perceived knowledge of their patient's plan. The GD improved the shared mental model, facilitated teaching and information transfer and fostered family engagement. Challenges included knowing the rules for use and consistent application. Concerns initially raised by HCPs about confidentiality were denied by families.
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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 | 0.038 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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 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".