Coping With <scp>COVID</scp>‐19: Perspectives of Caregivers of Children and Young People With Chronic Kidney Disease
Bibliographic record
Abstract
BACKGROUND: Caregivers of children and young people with chronic kidney disease (CKD) face challenging circumstances on a daily basis; however, the difficulties they experienced during the COVID-19 pandemic, as well as potentially positive experiences, are not yet fully understood. The aim of this study was to explore the pandemic-related experiences of these caregivers. METHODS: Twelve caregivers were recruited from a hospital-based pediatric renal program; eight families were posttransplant. Caregivers participated in virtual semistructured interviews conducted between March 2021 and November 2022. They provided responses to open-ended questions concerning how the pandemic affected their child with CKD, their family, and themselves. Interviews were transcribed and coded using thematic analysis. RESULTS: Four main themes were identified: (1) Family Life, which included disruptions in routine, reduced social supports, and changes in the quality of family relationships; (2) Mental Health and Coping, which included increased anxiety and positive coping strategies; (3) Work and School Life, which included changes to work and school; and (4) Health and Health Care Systems, which included virtual health care and public health restrictions. CONCLUSIONS: Despite facing profound challenges, caregivers identified both positive and negative aspects of their pandemic experiences. Their coping strategies highlighted individual and family resilience characteristics. Implications for health care providers, including future pandemic planning, support for the transition from in-person to virtual care, and strategies to better address barriers to resources for families of children with chronic kidney disease were discussed.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| 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".