Therapeutic itineraries of children with the early loss of primary teeth: A qualitative phenomenological study
Bibliographic record
Abstract
Background: Children with untreated dental caries tend to have a higher prevalence of early tooth loss, causing physical, psychosocial, and financial impacts on children and their families. The present study aims to understand the therapeutic itineraries of children with the early loss of primary teeth due to caries by analyzing the access to and integrality of care. Methods: This was a qualitative phenomenological study. Participants were caregivers, aged 18 years or older, of children up to 12 years of age who attended the University Dental Clinic of a Public University in Southern Brazil. Analysis of medical records and interviews were performed. The saturation criterion defined the sample size (n=44). Results: Public and private health services were accessed by families in the search for treatments for children's oral health conditions until they reached the University Dental Clinic. Children experiencing suffering and pain, who had had multiple extractions, and families affected financially and emotionally by the oral health condition of their children highlighted these itineraries. The resilience of these families in overcoming the challenges experienced and their continuous efforts to find solutions for the oral health care of their children were emphasized. Their relations with students and teachers at the University Dental Clinic were also discussed. Conclusion: The study showed a range of paths taken by children and their families and suggested weaknesses in ensuring the integrality of care for children in the Brazilian National Health System. Qualitative analysis of the therapeutic itineraries of children’s families presented in this study is proposed as a complementary tool for health care. This study has the potential to contribute to the evaluation of health services in the country, strengthening children's oral health.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 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".