Striving for high reliability in healthcare: a qualitative study of the implementation of a hospital safety programme
Bibliographic record
Abstract
BACKGROUND: Healthcare leaders look to high-reliability organisations (HROs) for strategies to improve safety, despite questions about how to translate these strategies into practice. Weick and Sutcliffe describe five principles exhibited by HROs. Interventions aiming to foster these principles are common in healthcare; however, there have been few examinations of the perceptions of those who have planned or experienced these efforts. OBJECTIVE: This single-site qualitative study explores how healthcare professionals understand and enact the HRO principles in response to an HRO-inspired hospital-wide safety programme. METHODS: We interviewed 71 participants representing hospital executives, programme leadership, and staff and physicians from three clinical services. We observed and collected data from unit and hospital-wide quality and safety meetings and activities. We used thematic analysis to code and analyse the data. RESULTS: Participants reported enactment of the HRO principles 'preoccupation with failure', 'reluctance to simplify interpretations' and 'sensitivity to operations', and described the programme as adding legitimacy, training, and support. However, the programme was more often targeted at, and taken up by, nurses compared with other groups. Participants were less able to identify interventions that supported the HRO principles 'commitment to resilience' and 'deference to expertise' and reported limited examples of changes in practices related to these principles. Moreover, we identified inconsistent, and even conflicting, understanding of concepts related to the HRO principles, often related to social and professional norms and practices. Finally, an individualised rather than systemic approach hindered collective actions underlying high reliability. CONCLUSION: Our findings demonstrate that the safety programme supported some HRO principles more than others, and was targeted at, and perceived differently across professional groups leading to inconsistent understanding and enactments of the principles across the organisation. Combining HRO-inspired interventions with more targeted attention to each of the HRO principles could produce greater, more consistent high-reliability practices.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".