Paediatric primary care quality and accessibility: Parents' perspective
Bibliographic record
Abstract
OBJECTIVE: To measure parents' satisfaction with paediatric primary care quality and accessibility. BACKGROUND: High-quality paediatric primary care is a cornerstone of efforts to improve health outcomes and access to care, as well as to control health care spending. A strong primary care infrastructure is related to improved health outcomes, including an improved mortality rate. METHODS: A cross-sectional survey using the Parents' Perception of Primary Care questionnaire and evidence-based items from the Rourke Baby Record were used to measure parents' satisfaction. RESULTS: Of 200 questionnaires sent, 130 were returned. The mean number of children per family was 1.7+/-0.8 (mean +/- SD). Sixty-six per cent of children received their primary care from general practitioners, 19% received their primary care from paediatricians, and 15% had no regular physician and identified other professionals (community nurses, midwives or chiropractors) as their primary care providers. Parents were questioned about their child's hearing in 66% of cases. Only 41% of parents received guidance about breastfeeding, 37% about adequate sleeping position, 17% about the dangers of second-hand smoke and 16% about car safety seats. The level of satisfaction with communication, contextual knowledge and coordination of care was higher for families followed by general practitioners and paediatricians than for families followed by nonphysicians. According to the Parents' Perception of Primary Care scores, the overall satisfaction with primary care was higher for care given by general practitioners and paediatricians than for care given by midwives or chiropractors, and intermediate when given by nurses. CONCLUSION: In this survey, the majority of children received their primary care from physicians, most commonly general practitioners. Parents' overall satisfaction regarding their infant's primary health care was higher when it was delivered by physicians than by alternative health care providers. Evidence-based guidance recommendations were rarely followed.
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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".