Literature DB >> 30950736

Using Propensity Score Matching to Address Clinical Questions: The Impact of Remote Microphone Systems on Language Outcomes in Children Who Are Hard of Hearing.

Maura Curran1, Elizabeth A Walker2, Patricia Roush3, Meredith Spratford4.   

Abstract

Purpose Children who are hard of hearing (CHH) have restricted access to acoustic and linguistic information. Increased audibility provided by hearing aids influences language outcomes, but the benefits of hearing aids are often limited by acoustic factors and distance. Remote microphone (RM) systems further increase auditory access by reducing the negative consequences of these factors. The purpose of this article was to identify factors that influence likelihood of RM system receipt and to investigate the effects of RM systems in home settings on later language outcomes. We used propensity score matching to compare language outcomes between children with and without access to personal RM systems in home settings. This article provides a description of how and why to perform propensity score-matching analyses with clinical populations. Method Participants were 132 CHH. Through parent report, we identified children who received RM systems for home use by 4 years of age. Logistic regression was used to determine factors that predict likelihood of RM system receipt in home settings. Propensity score matching was conducted on a subgroup of 104 participants. Performance on language measures at age 5 years was compared across propensity-matched children who did and did not receive RMs for personal use. Results Likelihood of RM receipt was associated with degree of hearing loss, maternal education, and location (recruitment site). Comparisons between matched pairs of children with and without RM systems in early childhood indicated significantly better discourse skills for children whose families owned RM systems, but no significant differences for vocabulary or morphosyntax. Conclusion Results provide preliminary evidence that the provision of personal RM systems for preschool-age CHH enhances higher-level language skills. The propensity score-matching technique enabled us to use an observational, longitudinal data set to examine a question of clinical interest.

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Year:  2019        PMID: 30950736      PMCID: PMC6802899          DOI: 10.1044/2018_JSLHR-L-ASTM-18-0238

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  29 in total

1.  Evaluation of Speech Recognition of Cochlear Implant Recipients Using Adaptive, Digital Remote Microphone Technology and a Speech Enhancement Sound Processing Algorithm.

Authors:  Jace Wolfe; Mila Morais; Erin Schafer; Smita Agrawal; Dawn Koch
Journal:  J Am Acad Audiol       Date:  2015-05       Impact factor: 1.664

2.  The New York State universal newborn hearing screening demonstration project: ages of hearing loss identification, hearing aid fitting, and enrollment in early intervention.

Authors:  L Dalzell; M Orlando; M MacDonald; A Berg; M Bradley; A Cacace; D Campbell; J DeCristofaro; J Gravel; E Greenberg; S Gross; J Pinheiro; J Regan; L Spivak; F Stevens; B Prieve
Journal:  Ear Hear       Date:  2000-04       Impact factor: 3.570

3.  Speech recognition in noise by children with minimal degrees of sensorineural hearing loss.

Authors:  C C Crandell
Journal:  Ear Hear       Date:  1993-06       Impact factor: 3.570

4.  Trends in age of identification and intervention in infants with hearing loss.

Authors:  Melody Harrison; Jackson Roush; Jennifer Wallace
Journal:  Ear Hear       Date:  2003-02       Impact factor: 3.570

5.  Language Outcomes in Young Children with Mild to Severe Hearing Loss.

Authors:  J Bruce Tomblin; Melody Harrison; Sophie E Ambrose; Elizabeth A Walker; Jacob J Oleson; Mary Pat Moeller
Journal:  Ear Hear       Date:  2015 Nov-Dec       Impact factor: 3.570

Review 6.  An Introduction to the Outcomes of Children with Hearing Loss Study.

Authors:  Mary Pat Moeller; J Bruce Tomblin
Journal:  Ear Hear       Date:  2015 Nov-Dec       Impact factor: 3.570

7.  Remote Microphone System Use at Home: Impact on Caregiver Talk.

Authors:  Carlos R Benítez-Barrera; Gina P Angley; Anne Marie Tharpe
Journal:  J Speech Lang Hear Res       Date:  2018-02-15       Impact factor: 2.297

8.  Factors influencing follow-up to newborn hearing screening for infants who are hard of hearing.

Authors:  Lenore Holte; Elizabeth Walker; Jacob Oleson; Meredith Spratford; Mary Pat Moeller; Patricia Roush; Hua Ou; J Bruce Tomblin
Journal:  Am J Audiol       Date:  2012-05-14       Impact factor: 1.493

9.  Newborn hearing screening follow-up: factors affecting hearing aid fitting by 6 months of age.

Authors:  Lynn Spivak; Heidi Sokol; Charles Auerbach; Stella Gershkovich
Journal:  Am J Audiol       Date:  2008-11-24       Impact factor: 1.493

10.  Service Delivery to Children With Mild Hearing Loss: Current Practice Patterns and Parent Perceptions.

Authors:  Elizabeth A Walker; Meredith Spratford; Sophie E Ambrose; Lenore Holte; Jacob Oleson
Journal:  Am J Audiol       Date:  2017-03-01       Impact factor: 1.493

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  1 in total

1.  Remote Microphone System Use in the Homes of Children With Hearing Loss: Impact on Caregiver Communication and Child Vocalizations.

Authors:  Emily C Thompson; Carlos R Benítez-Barrera; Gina P Angley; Tiffany Woynaroski; Anne Marie Tharpe
Journal:  J Speech Lang Hear Res       Date:  2020-01-22       Impact factor: 2.297

  1 in total

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