Understanding Parents’ Experiences and Information Needs on Pediatric Acute Otitis Media: A Qualitative Study
Bibliographic record
Abstract
BACKGROUND: Acute otitis media (AOM) is the most common pediatric bacterial ear infection, affecting up to 75% of children younger than 5 years. Despite the high incidence of AOM in children, the condition presents a number of challenges to parents. The objectives of this study were to describe parents' experiences of taking care of a child with AOM and to identify their information needs to manage their child with AOM. METHODS: A qualitative, descriptive design was used to gain insight into information needs of parents' of children with AOM. Participants were recruited from a specialized pediatric emergency department in a major Canadian urban center (Edmonton, Alberta). Individual semi structured interviews were conducted with 16 parents. RESULTS: Seven major themes were identified and described: (1) frequency of AOM, (2) symptoms of AOM experienced by children and parents, (3) AOM symptom management strategies used by parents, (4) parent's beliefs about AOM, (5) parent's satisfaction with treatment prescribed by physicians, (6) the effect of AOM on family's quality of life, and (7) parent's information needs about AOM. Findings indicate that AOM has considerable negative outcomes for both children and families and that parents would benefit from having more evidence-based resources. CONCLUSIONS: This study provides important information around parents' experiences and information needs for pediatric AOM. Identifying parents' information needs and developing innovative and communicatively responsive educational approaches for parents are warranted that reflect patient-centered nursing care.
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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 | 0.009 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 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".