Assessment of Bereaved Caregiver Experiences of Advance Care Planning for Children With Medical Complexity
Bibliographic record
Abstract
Importance: Advance care planning (ACP) is the process of discussing values and preferences for care to help inform medical decision-making. Children with medical complexity (CMC) often have a shortened life span with an unpredictable clinical course and timing of death; however, there is a paucity of literature that describes the experience of ACP from the perspective of bereaved family caregivers of CMC. Objective: To explore the experiences of bereaved family caregivers with ACP for CMC. Design, Setting, and Participants: This qualitative study included 12 interviews with 13 bereaved family caregivers of CMC whose deaths had occurred in the 5 years before study commencement (2013-2018). Participants were recruited at a single tertiary care pediatric center; CMC were treated by the Complex Care or Long-term Ventilation clinic in Toronto, Ontario, Canada. Data were collected from July to October 2018. Thematic analysis with an inductive approach was used. Exposures: Qualitative interviews were conducted using purposive sampling of bereaved family caregivers using semistructured interviews that were recorded and transcribed. Interviews were conducted until saturation was reached. Main Outcomes and Measures: Transcripts were analyzed to create themes that characterized caregiver experiences with ACP. Results: A total of 13 family caregivers were interviewed in 12 interviews, all of whom were parents (12 [92%] women, 1 [8%] man) of a deceased child (aged 7 months to 12 years). Themes were divided in the 3 following categories, which align with the Donabedian model for health service quality: (1) structure of care, (2) ACP process, and (3) end-of-life experience. Notable subthemes for this population included the importance of accounting for parental expertise in the child's care, recurrent experiences with life-threatening events, relative shock of the timing of death, and the multiple losses that caregivers experienced. Conclusions and Relevance: In this study, parental experiences revealed that there are key aspects of the structure of the child's care, process around ACP, and end-of-life care experiences that provide important reflections on ACP that warrant future study.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".