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Pediatric Quality Measures in Hearing Screening and Follow-Up
Renée F Wilson1, Genie Han1, Jennifer O Lambert2
1Evidence-based Practice Center, Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.
Pediatrics
|May 20, 2026
Summary
Pediatric quality measures for hearing screening and follow-up are essential for timely care. While many measures show reliability and validity, follow-up measure feasibility remains a concern, requiring further research.
Area of Science:
- Pediatric Healthcare Quality Improvement
- Audiology and Hearing Health
- Health Services Research
Background:
- Effective quality measures are crucial for ensuring children receive timely hearing problem screening and follow-up care.
- Existing measures need evaluation for reliability, validity, usability, and feasibility.
Purpose of the Study:
- To systematically summarize existing pediatric quality measures for hearing screening and follow-up.
- To identify evidence supporting the characteristics and implementation of these measures.
Main Methods:
- Comprehensive literature search of PubMed, Embase, CINAHL, Cochrane Library, and PsycINFO (2009-2024).
- Inclusion of systematic reviews, original articles, and gray literature from governmental and nongovernmental entities.
- Data extraction focused on measure definitions, characteristics, barriers, and research gaps.
Main Results:
- Identified 27 hearing screening and 97 follow-up measures, primarily for newborns.
- Evidence for reliability, validity, usability, and feasibility varied, with 14 follow-up measures showing feasibility concerns.
- Eight screening and eight follow-up measures demonstrated improved quality-of-care outcomes, but implementation barriers included data infrastructure and standardization issues.
Conclusions:
- Numerous pediatric hearing screening and follow-up measures possess documented reliability, validity, and usability.
- Feasibility of implementing follow-up measures presents a significant challenge.
- Future research should prioritize evaluating data infrastructure and systems to enhance follow-up implementation and standardize measures.
