How is candidacy relevant to us as practicing audiologists?
to avoid understimulation (not enough gain) and overstimulation (too much gain), and to tune HAs within the patients dynamic range using a holistic approach
Name special populations relevant to HA candidacy
Pediatrics, SSD, Asymmetrical HL, Conductive HL, CAPD
What is HA ownership rate?
% of total population that owns HAs
*2-4% in developing countries
What is HA penetration rate?
of HA owners (divided) by # of people with HL
*more relevant clinically
Of those who believe they have HL, how many own HAs
14-31%, increases with HL degree
At what point does HA penetration rate reach 50%?
when 4-frequency average in the better ear > 40 dB HL
What societal goal exists for HA ownership?
At least 50% of people with HL have access to HAs
Besides the audiogram, what info do clinicians need for candidacy?
-Attitude and motivation
-Acknowledgement of HL
-Communication needs
-Consequences of HL
-Self-image
-Expected benefit
-Fear/uncertainty
-cost-benefit ratio
-Influence of others
What is the expected benefit?
How beneficial the patient believes HAs will be, based on others’ experiences or counseling
How do operation/dexterity issues affect candidacy?
May prevent HA use –> clinicians must assess body language and concerns about handling devices
What is the cost-benefit ratio in candidacy?
Patient’s perceived costs vs. perceived benefits of HA use
Who influences candidacy besides the patient?
Family, significant others, professionals (can be positive or negative)
What does PTA tell us in candidacy
Good indicator of impairment, moderate for activity limitation, poo for participation restriction
Why can HAs hurt normal hearing listeners?
Internal HA mic noise makes soft sounds harder to detect in quiet
What model explains patient decision-making for HA use?
Health Belief Model
How does PTA relate to HA ownership?
As PTA increases (greater HL), ownership/use increases
Which configuration causes more disability: LF vs HF loss?
LF HL is more strongly related to disability
Who is less likely to use HAs (speech identification in quiet)?
Those with better speech identification in quiet, because they can manage without amplification
Who is less likely to benefit from HAs (speech identification in noise)?
Those with poor speech identification in noise, since HAs may not improve their performance
Who is more likely to benefit from HAs (self-reported disability)?
Those reporting higher disability are more likley to use HAs and report benefit
What tools measure self-reported disability?
APHAB, HHIE
What is ANL?
Acceptable Noise Level = MCL for speech - background noise level (BNL)
How does ANL predict HA use?
ANL < 7 dB = likely full-time user
ANL > 13 dB = unlikely full-time user
Ex of ANL
MCL = 80 dB
BNL = 75 dB
What is ANL and candidacy?
ANL = 5 dB
Good candidate (likely benefit)