Acute and long-term psychosocial consequences in grandparents when a grandchild is diagnosed with cancer – the GROKids Project: a population-based mixed-methods study protocol
Bibliographic record
Abstract
BACKGROUND: Grandparents play a crucial role in providing their families with love, support, and wisdom, often also supporting them in practical and financial ways. The psychosocial effects experienced by grandparents when a grandchild is diagnosed with an illness can be significant, including increased stress, anxiety, grief, and disruptions in their own lives. Yet, the experience of grandparents is often overlooked in the literature. METHODS/DESIGN: The GROKids Project aims to investigate how grandparents are affected by a grandchild's cancer diagnosis. It employs a mixed-methods approach and consists of three studies: a longitudinal cohort study (Study 1) and a qualitative study (Study 2) involving grandparents of children with a recent cancer diagnosis, and a cross-sectional study (Study 3) of grandparents of childhood cancer survivors. Study 1 covers four time points over two years after the cancer diagnosis, while Study 2 explores the lived experiences of a subsample of these grandparents. Study 3 collects data from grandparents of childhood cancer survivors diagnosed 3 to 10 years ago. Participants are recruited across eight pediatric oncology centers in Switzerland, and through patient advocacy and support groups. Eligibility criteria include having a grandchild diagnosed with cancer and being fluent in German, French, or Italian. Study procedures involve requesting grandparents' contacts from eligible families, and later contacting grandparents, providing study information, obtaining informed consent, and sending out questionnaires by post or online. Reminder calls and mails are used to improve response rates. Data analysis includes multilevel regression (Study 1), thematic analysis (Study 2), and regression analyses (Study 3). Various validated questionnaires are used to assess physical health and overall well-being, psychological health, internal, and external factors. DISCUSSION: This project addresses the gaps in understanding the psychosocial effects on grandparents having a grandchild diagnosed with cancer. It utilizes a comprehensive approach, including multiple methodologies and considering the broader family context. The project's strengths lie in its mixed-methods design, longitudinal approach, and inclusion of the perspectives of the sick children, siblings, and parents, besides grandparents. By gaining a more profound understanding of grandparents' experiences, researchers and healthcare professionals can develop targeted interventions and support services to address grandparents' unique needs.
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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 | 0.012 | 0.009 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".