Up to the Challenge: Adapting Pediatric Intensive Care During a Global Pandemic
Bibliographic record
Abstract
Background: The COVID-19 pandemic has strained health systems world wide. In our region, surging numbers of critically ill adult patients demanded urgent system-wide responses. During the peak of the pandemic, our Pediatric Intensive Care Unit (PICU) team redesigned the existing educational resources and processes of care to ensure for adult patients for the first time in the hospital's history. Aim: Describe the experiences and impacts of the rapidly initiated Adult COVID-19 Program on health care providers (HCP) and family members. Havelock's Theory of Change framed the examination of Adult COVID-19 Program participant experiences and surfaced lessons learned. Materials and Methods: A quality improvement review was employed to collect feedback about the program experience from the health care team and patient's family members. HCP completed a questionnaire 10 months following the implementation of the program and feedback from family members was provided during the program was obtained. Havelock's Theory of Change was used to explore trends and frame participants' experiences. Results: = 8) participated. HCP describe; motivation and readiness; concern for personal safety and uncertainty experienced in the early program phases; the importance of supports and resources; use of relationships and collaboration to facilitate change; the emotional impacts of this unique experience; and opportunities for individual and team growth. An overarching theme of 'doing our part to help' emerged. Family members described the positive impacts of family-centered interventions offered, individualized care, and shock at their family member's illness. Conclusion: The PICU team rapidly adapted to provide care for adults at the peak of the pandemic. Family members expressed feeling grateful for the care their loved ones received in the pediatric setting. The experience of caring for adult patients with COVID-19 was a source of tension, personal growth, and meaning for the pediatric intensive care team.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".