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Using audiometric data base analysis.

J D Royster, L H Royster

    Journal of Occupational Medicine. : Official Publication of the Industrial Medical Association
    |October 1, 1986
    PubMed
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    Audiometric data base analysis (ADBA) is key for evaluating hearing conservation programs (HCPs). Careful consideration of various factors is essential for accurate assessment of occupational hearing loss prevention.

    Area of Science:

    • Occupational health
    • Audiology
    • Industrial hygiene

    Background:

    • Hearing conservation programs (HCPs) aim to prevent occupational hearing loss.
    • Audiometric data base analysis (ADBA) is a primary method for evaluating HCP effectiveness.
    • Accurate interpretation of ADBA requires accounting for numerous influencing factors.

    Purpose of the Study:

    • To discuss parameters affecting the interpretation of group data statistics in HCP effectiveness assessment.
    • To highlight factors influencing the stability of audiometric data bases.
    • To illustrate ADBA techniques with case histories.

    Main Methods:

    • Review of testing factors: audiometric techniques, calibration, environment, subject motivation/experience.
    • Consideration of population parameters: age, sex, race, noise exposure, learning effects, hearing protector use.

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  • Analysis procedures: mean threshold comparisons, rate of change analysis, test-retest comparisons, threshold shift criteria.

    • Main Results:

    • Identified key testing and population parameters impacting ADBA.
    • Presented case histories demonstrating ADBA application.
    • Summarized preliminary results from ANSI S12.12 Working Group research on ADBA statistics and criterion ranges.

    Conclusions:

    • ADBA is a direct method for judging HCP effectiveness.
    • Numerous factors must be considered for meaningful ADBA findings.
    • Standardized analysis procedures and criteria are crucial for reliable HCP evaluation.