Pediatric Audiology in North America: Current Clinical Practice and How It Relates to the American Academy of Audiology Pediatric Amplification Guideline
Bibliographic record
Abstract
BACKGROUND: There is broad consensus that screening and diagnosis of permanent hearing loss in children must be embedded within a comprehensive, evidence-based, family-centered intervention program. Clinical practice guidelines (CPGs) for pediatric hearing assessment and hearing aid verification aim to reduce variability in practice and increase the use of effective evidence-based diagnostic and treatment options so that optimal outcomes may be achieved. To be of value, guidelines must be translated and implemented into practice and ongoing monitoring of their use in practice should occur. PURPOSE: This paper provides the results of two studies that aim to examine current pediatric audiology and amplification practice in North America. RESEARCH DESIGN: A concurrent embedded mixed methods design was used. STUDY SAMPLE: An electronic survey was distributed to North American audiologists who delivered pediatric audiology services with 350 audiologists participating in study 1 and 63 audiologists participating in study 2. DATA COLLECTION AND ANALYSIS: A quantitative approach was the predominant method of data collection. Respondents were prompted to provide additional qualitative text and detail regarding their quantitative response choice. This qualitative text was used during the analysis phase and combined with quantitative results to assist understanding of respondents' knowledge, skills, and barriers/facilitators to implement best practice in pediatric amplification. RESULTS: Approximately 70% of audiologists reported using best-practice protocols for pediatric hearing aid fitting. Despite widespread knowledge and increased use of CPGs over the last 18 yrs, results of these studies show that variation in practice patterns continue to exist. Several examples of implementation challenges are discussed with recommendations provided. CONCLUSIONS: In order for audiologists working with children who are deaf or hard of hearing and their families to achieve the principles of family-centered early intervention, practice guidelines must continue to be developed, disseminated, and translated as they have a positive impact on the services provided. Researchers and clinical audiologists who deliver services must continue to collaborate to understand the "how" and "why" of implementing guidelines into practice and to identify the barriers/facilitators encountered in trying to do so.
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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 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 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".