What do parents want from healthcare services? Reports of parents’ experiences with pediatric service delivery for their children with disabilities
Bibliographic record
Abstract
PURPOSE: Family-centred service (FCS) is an established approach for delivering services in children's rehabilitation and healthcare. This article describes that parents continue to report mixed experiences with healthcare services for their children, as well as their ideas about what they need and want from these services. These findings will inform the development of an up-to-date measure of Family-Centred Service called Measure of Processes of Care (MPOC 2.0). METHODS: A qualitative descriptive study was conducted with parents, using focus groups and open-ended interviews. Data were analyzed using inductive content analysis. RESULTS: Parents want care that is individualized, co-ordinated, easily accessible, and takes into account the entire family dynamic. They want service providers (SPs) to be informed and invested in their child's care, and to provide parents with practical assistance. They also want to be treated with respect, caring and empathy, and to work together with SPs on the care plan. Novel components of care not identified in the original FCS guiding principles include: responsiveness to needs and mental health; effective communication (vs information giving); practical support (in addition to emotional and informational support); and availability and scheduling. CONCLUSIONS: This article identifies components of healthcare that families find helpful and desirable.
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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 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".