Predicting three-month and 12-month post-fitting real-world hearing-aid outcome using pre-fitting acceptable noise level (ANL).
Int J Audiol
; 55(5): 285-94, 2016.
Article
em En
| MEDLINE
| ID: mdl-26878163
ABSTRACT
OBJECTIVE:
Determine the extent to which pre-fitting acceptable noise level (ANL), with or without other predictors such as hearing-aid experience, can predict real-world hearing-aid outcomes at three and 12 months post-fitting.DESIGN:
ANLs were measured before hearing-aid fitting. Post-fitting outcome was assessed using the international outcome inventory for hearing aids (IOI-HA) and a hearing-aid use questionnaire. Models that predicted outcomes (successful vs. unsuccessful) were built using logistic regression and several machine learning algorithms, and were evaluated using the cross-validation technique. STUDY SAMPLE A total of 132 adults with hearing impairment.RESULTS:
The prediction accuracy of the models ranged from 61% to 68% (IOI-HA) and from 55% to 61% (hearing-aid use questionnaire). The models performed more poorly in predicting 12-month than three-month outcomes. The ANL cutoff between successful and unsuccessful users was higher for experienced (â¼18 dB) than first-time hearing-aid users (â¼10 dB), indicating that most experienced users will be predicted as successful users regardless of their ANLs.CONCLUSIONS:
Pre-fitting ANL is more useful in predicting short-term (three months) hearing-aid outcomes for first-time users, as measured by the IOI-HA. The prediction accuracy was lower than the accuracy reported by some previous research that used a cross-sectional design.Palavras-chave
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Base de dados:
MEDLINE
Assunto principal:
Correção de Deficiência Auditiva
/
Avaliação de Resultados em Cuidados de Saúde
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Auxiliares de Audição
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Perda Auditiva
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Ruído
Idioma:
En
Ano de publicação:
2016
Tipo de documento:
Article