Resident Experiences With Implementation of the I-PASS Handoff Bundle
Bibliographic record
Abstract
ABSTRACT Background The I-PASS Handoff Study found that introduction of a handoff bundle (handoff and teamwork training for residents, a mnemonic, a handoff tool, a faculty development program, and a sustainability campaign) at 9 pediatrics residency programs was associated with improved communication and patient safety. Objective This parallel qualitative study aimed to understand resident experiences with I-PASS and to inform future implementation and sustainability strategies. Methods Resident experiences with I-PASS were explored in focus groups (N = 50 residents) at 8 hospitals throughout 2012–2013. A content analysis of transcripts was conducted following the principles of grounded theory. Results Residents generally accepted I-PASS as an ideal format for handoffs, and valued learning a structured approach. Across all sites, residents reported full adherence to I-PASS when observed, but selective adherence in usual practice. Residents adhered more closely when patients were complex, teams were unfamiliar, and during evening handoff. Residents reported using elements of the I-PASS mnemonic variably, with Illness Severity and Action Items most consistently used, but Synthesis by Receiver least used, except when observed. Most residents were receptive to the electronic handoff tool, but perceptions about usability varied across sites. Experiences with observation and feedback were mixed. Concern about efficiency commonly influenced attitudes about I-PASS. Conclusions Residents generally supported I-PASS implementation, but adherence was influenced by patient type, context, and individual and team factors. Our findings could inform future implementation, particularly around the areas of resident engagement in change, sensitivity to resident level, perceived efficiency, and faculty observation.
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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 | 0.007 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".