Safety participation at the direct care level: Results of a patient questionnaire
Bibliographic record
Abstract
Understanding how patients can be engaged in safety-related activities at the direct care level is of current relevance given global efforts to reduce harm in hospitals. As part of a multiphase study, including a descriptive, exploratory qualitative study (Duhn & Medves, 2018), patients were asked to respond to a brief questionnaire to quantify how they viewed their patient-reported safety participation behaviours while in hospital. This paper is a summary of those responses. The 8-item questionnaire was, in part, used to help address a secondary research question of the larger qualitative study, specifically: What behaviours do patients report in promoting their safety while receiving care in hospital? Patients completed the questionnaire at the end of the face-to-face in-hospital interviews. Twenty-eight adult inpatients completed the questionnaire. Fifteen participants indicated that they ‘always’ or ‘usually’ checked their hospital medications; this was the second lowest rated activity. Most participants (n=20) believed they could rely on their knowledge and alertness to protect them from health-care error. Seventeen participants were in the high participation category. Given the prevalence of medication errors, patient involvement warrants further examination, including system supports to increase feasibility. Overall, a standardized, valid and reliable patient engagement in safety measure for the direct care level is required. Experience Framework This article is associated with the Policy & Measurement lens of The Beryl Institute Experience Framework. (https://www.theberylinstitute.org/ExperienceFramework). Access other PXJ articles related to this lens. Access other resources related to this lens.
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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 | 0.000 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".