Talking with caregivers of children living in the community with ventricular assist devices
Bibliographic record
Abstract
A VAD is a mechanical pump used to support the functioning of a failing heart. As a pediatric therapy, a VAD is used as a temporary solution for poor heart function, a bridge to transplantation or recovery, or a destination therapy. The goal of this qualitative study was to explore the perspectives of family and professional caregivers of children who are supported by VADs in outpatient settings. Semi-structured interviews were conducted with 22 caregivers of school-aged children discharged home on VAD support. Interviews were transcribed, and data were analyzed using qualitative content analysis. Caregivers identified issues facing children on VAD support in the contexts of home, school, and other childhood places including being physically connected to a device; experiencing changes; living a medical life; negotiating restrictions; cost of care; family, kinship, and community; and, present and future living. While a child with a VAD may have much in common with other medically complex children, the technological complications and risks of living with a VAD are uniquely identified by caregivers as an issue, especially when considering the way that children with a VAD are connected to their device-implanted yet exterior, mobile yet restricted, and autonomous yet dependent.
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 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 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".