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
PubMed

Insights

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.
Abstract

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