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Real-ear-to-coupler difference predictions as a function of age for two coupling procedures

Marlene P Bagatto1, Susan D Scollie, Richard C Seewald

  • 1National Centre for Audiology, University of Western Ontario, London.

Insights

New research offers predicted real-ear-to-coupler difference (RECD) values for infants and children, improving upon older methods for hearing aid fitting. While not replacing individual measurements, these estimates offer better accuracy when direct RECD measures are not feasible.

Area of Science:

  • Audiology
  • Pediatric audiology
  • Hearing instrument science

Background:

  • Current pediatric hearing instrument prescription relies on broad age categories for real-ear-to-coupler difference (RECD) values.
  • Existing RECD prediction methods were based on measurements using standard acoustic immittance probe tips.

Purpose of the Study:

  • To develop normative RECD predicted values for foam/acoustic immittance tips and custom earmolds across a continuous age range.
  • To create regression equations for predicting RECDs based on age in months for pediatric populations.

Main Methods:

  • Collected RECD data from 392 infants and children.
  • Utilized both acoustic immittance tips (n=141) and custom earmolds (n=251) for data collection.
  • Developed normative regression equations to predict RECD values by age.

Main Results:

  • Predictive equations for RECDs by age provided gross estimates due to significant between-subject variability.
  • Estimates were within +/- 4.4 dB (acoustic immittance tips) and +/- 5.4 dB (earmolds) for 95% of measures.
  • Continuous age predictions offer improved accuracy over previous normative values when individual RECD measurements are not possible.

Conclusions:

  • The developed RECD predictive equations offer more accurate estimates than previous methods for pediatric hearing aid fitting when individual measurements are not feasible.
  • These estimates should not substitute precise, individual RECD measurements.
  • Further research may refine these predictions for better clinical application.

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