Understanding the Implementation of Family-Centered Care in COVID-19 Isolation Rooms Through Pediatric Nurses’ Experiences: Qualitative Descriptive Study
Bibliographic record
Abstract
Background: Even though the COVID-19 pandemic has passed, the implementation of regulations in pediatric isolation rooms during the COVID-19 pandemic put enormous pressure on the practice of family-centered care (FCC). For nurses in isolation rooms for children with COVID-19, it was a challenge to implement FCC, which is an approach to child health care that supports the strengths of families and increases the involvement of parents to provide the best care outcomes. Objective: This study aimed to explore nurses' experiences in implementing FCC in isolation rooms caring for children with COVID-19. Methods: A qualitative descriptive design was used based on semistructured interviews with 11 nurses who met the inclusion criteria and worked in 1 of 3 isolation rooms caring for children with COVID-19 in a tertiary hospital in Indonesia. Interviews were recorded and transcribed, then analyzed using thematic analysis. Results: Three themes were generated, including improving psychological well-being, encouraging family involvement, and making arrangements for communication. Conclusions: Communication was key to the implementation of FCC in pediatric isolation rooms, and it provided positive results, so it should continue to be implemented even after the pandemic has passed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".