How can I determine the most suitable Prescriptive Fitting Algorithm for my patients?

Prescriptive fitting algorithms are pivotal in the hearing device fitting process, aiding professionals in setting the initial device configuration, which should then be refined in collaboration with the patient. Most such algorithms require, at minimum, an assessment of air conduction hearing thresholds and frequency-specific amplification needs, while considering patient-specific variables like bone conduction thresholds, discomfort levels, gender, age, and earmold type.

DSLv5.0

Short for “Desired Sensation Level”, is a fitting formula designed to achieve optimal loudness balance. While it effectively enhances audibility in high-frequency hearing losses, it may not be the best choice for individuals new to hearing aids. The sensory overload it can cause might lead to discomfort. However, for experienced hearing aid users accustomed to higher gain values, DSLv5.0 can be ideal. It also incorporates discomfort measures, adjusting the hearing device's MPO accordingly.

DSLv5.0 pediatric

For children, achieving a balanced loudness is crucial, as language development progresses rapidly during childhood. To support this, the brain requires consistent stimulation from birth, which can be achieved through appropriate gain settings and a hearing device with a relatively linear response.

NAL-NL2

Developed by the National Acoustic Laboratories in Australia, is a fitting formula well-suited for first-time hearing aid users and those with a limited tolerance for high-frequency gain. It considers hearing thresholds, the degree of hearing loss, user experience, age, gender, and other factors. Notably, it does not account for discomfort thresholds, necessitating manual MPO adjustments.

Manufacturer-Specific Fitting Formulas

Various manufacturers of hearing devices develop their own fitting formula together with their hearing aids. This makes sense for the manufacturers as fitting formulas nowadays do not only set gain parameters, but also affect features. These features are supposed to be most effective with the manufacturer-based fitting formulas and enable the customer to make the most of the manufacturer’s technology.

_{*The content has undergone a slight revision by the Academia editorial team.}