Caregiver Perspectives Regarding Patient Safety During Pediatric Hospitalization: A Qualitative Analysis
Bibliographic record
Abstract
BACKGROUND: Approximately 1 in 10 children admitted to a hospital experience an adverse event, and of these events, approximately 44% can be considered to be preventable. It has been shown that focusing on family- and patient-centered care can improve both the quality of care and reduce harm. Little has been published about the perspectives of families regarding their roles in safety. The purpose of this study was to gain a deeper understanding of family experiences and priorities regarding their child's safety while in the hospital. DESIGN/METHODS: Our team conducted semistructured interviews among caregivers in either a tertiary pediatric hospital or the pediatric unit of a general hospital to explore perceptions and experiences regarding pediatric patient safety during their hospital stay. Purposive sampling was used to promote the inclusion of families who differed by experience with past hospitalizations, complexity of child disease status, family structure, and culture. All semistructured interviews were conducted virtually and transcribed verbatim. Transcripts were analyzed using emergent thematic analysis. RESULTS: Twenty-five interviews were conducted, from which 2 primary domains emerged: (1) Safety Climate, which describes elements of the in-hospital environment that contribute to both physical and psychological safety such as protective policy/procedures related to risk mitigation, staff behaviors and attitudes, collaboration with families and information sharing, and respect for patient dignity and family inclusion in care; and (2) Family Integration and Future Directions, which describes caregivers' preference for accessible and inclusive channels and pathways to both learn about safety and report safety concerns. CONCLUSION: Caregivers of pediatric patients value family integration into patient safety and conceptualize safety in a manner that extends beyond freedom from harm. Staff attitudes and behaviors are strong contributors to a feeling of safety. This knowledge can provide a foundation for future codesign of strategies to improve patient and family partnership in safety.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| 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".