Sociodemographic Disparities in Pediatric Cochlear Implantation Access and Use: A Systematic Review

Mahmoud Omar1, Anas Qatanani2, Syed Z Kaleem2

  • 1University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, U.S.A.

The Laryngoscope
|June 30, 2021
PubMed

Insights

Sociodemographic factors significantly impact pediatric cochlear implantation (CI) access and use globally. This review highlights disparities in CI rates and age at implantation, emphasizing the need for further research into these inequities.

Area of Science:

  • Otolaryngology
  • Public Health
  • Health Services Research

Background:

  • Pediatric cochlear implantation (CI) is a complex process revealing healthcare system weaknesses in providing timely care to deaf children.
  • Understanding sociodemographic disparities is crucial for equitable access to CI services worldwide.

Purpose of the Study:

  • To systematically review and identify sociodemographic factors influencing pediatric CI access and utilization.
  • To determine global disparities in CI access and use among candidates and recipients.

Main Methods:

  • A qualitative systematic review of major scientific databases (PubMed, Scopus, Web of Science, Embase).
  • Searched for studies associating sociodemographic factors (race, income, insurance) with pediatric CI access measures (age at CI, CI rate).
  • Included 39 papers from 14 countries, analyzing data from 27,751 CI-candidate children (6,623 recipients) published between 1993-2020.

Main Results:

  • Measures like age at CI and CI rates are consistently reported regarding disparities.
  • Access to rehabilitation, willingness for CI, and daily device use are infrequently measured.
  • Persistent disparities exist in key CI access measures within certain populations, while data is scarce for others.

Conclusions:

  • Sociodemographic factors demonstrably influence pediatric CI access and use.
  • Significant data gaps exist for certain populations and CI access measures.
  • Future research should employ multivariable analysis on representative data to clarify disparity mechanisms.
Abstract