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CompletedNCT05621798BREMUpdated Mar 4, 2026

Quantifying the Benefits and Cost-effectiveness of Real-Ear Measurements (REM) for Hearing Aid Fitting

An interventional study of Hearing Aid Manufacturer's Software and REM (Real Ear Measurements) in Sensorineural Hearing Loss, Bilateral, sponsored by Kuopio University Hospital. Completed at 1 site in Finland. Open to participants aged 18 Years to 80 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-03-04.

Sponsored by Kuopio University Hospital · Not applicable, Interventional, and Supportive care

Phase
Not applicable
Study type
Interventional
Enrollment
101
Allocation
Randomized
Ages
18 Years to 80 Years
Sex
All
01

Study summary

Adjusting hearing aid user's real ear performance by using probe-microphone technology (real ear measurement, REM) has been a well-known procedure that verifies whether the output of the hearing aid at the eardrum matches the desired prescribed target. Still less than half of audiologists verify hearing aid fitting to match the prescribed target amplification with this technology. Recent studies have demonstrated failures to match the prescribed amplification targets, using exclusively the predictions of the proprietary software. American Speech-Language-Hearing Association (ASHA) and American Academy of Audiology (AAA) have created Best Practice Guidelines that recommend using real-ear measurement (REM) over initial fit approach and also the recent ISO 21388:2020 on hearing aid fitting management recommends the routine use of REM. Still audiologists prefer to rely on the manufacturer's default "first-fit" settings because of the lack of proof over cost-effectiveness and patient outcome in using REM. There are only few publications of varying levels of evidence indicating benefits of REM-fitted hearing aids with respect to patient outcomes that include self-reported listening ability, speech intelligibility in quiet and noise and patients' preference. Our main research question is whether REM-based fitting improves the patient reported outcome measures - PROMs (SSQ, HERE) and performance-based outcome measures (speech-reception threshold in noise) over initial fit approach. An additional research question is whether REM-based fitting improves hearing aid usage (self-reported \& log-data report). Eventually, the investigators will calculate the cost-effectiveness of REM-based fitting.

Read the detailed description

Adjusting hearing aid user's real ear performance by using probe-microphone technology (real ear measurement, REM) has been a well-known procedure over 30 years among audiologists. With this measurement technique, it is possible to verify whether the output of the hearing aid at the eardrum matches the desired prescribed target. Still less than half of audiologists verify their hearing aid fitting to match the prescribed target amplification with this technology. Many still rely on the manufacturer's default "first-fit" settings (initial fit approach) which means that the patient's hearing thresholds at any given frequency are transferred to the programming software that predicts the output and gain of the hearing aid by using proprietary or modified prescriptive algorithm. These proprietary algorithms create an approximation over patients in situ hearing aid gain and output based on data such as the age of the patient, an estimate of microphone location effects, the ear mold or shell design and length, venting size, and tubing characteristics.

Recent studies have demonstrated failures to match the prescribed amplification targets, using exclusively the predictions of the proprietary software. The American Speech-Language-Hearing Association (ASHA) and American Academy of Audiology (AAA) have created Best Practice Guidelines that recommend using real-ear measurement (REM) over initial fit approach in order to verify the prescribed gain and output of the hearing aids. Accordingly, the recent ISO 21388:2020 on hearing aid fitting management recommends the routine use of REM. So why is REM still rarely applied clinically? The main reason is the lack of proof over cost-effectiveness and patient outcome. There are only few publications of varying levels of evidence indicating benefits of REM-fitted hearing aids with respect to patient outcomes that include self-reported listening ability, speech intelligibility in quiet and noise and patients' preference. According to a very recent systematic review and meta-analyses by Almufarrij et al. published in 2021, there are only six publications that meets the inclusion criteria, and the evidence favors REM fitting for all outcomes reported (self-reported listening ability, speech intelligibility in quiet and noise and preference). Still, the quality of evidence varies across the outcomes since all articles had a rather limited number of participants and only two used power calculation to determine the sample size. None of these studies reported health-related quality of life, which was assessed to be the primary outcome by the reviewers. Also, secondary outcomes of interest including adverse events, generic quality of life and cost-effectiveness were not assessed. The authors also acknowledged the lack of sufficient follow-up duration (the maximum duration was only 6 weeks) and the lack of permission for further adjustment to the amplification characteristics. In addition, the included studies failed to investigate first-time users over experienced hearing-aid users and the amplification characteristics the experienced users were familiar with, were not reported. This was judged to possibly impact on short-term outcomes since changes of hearing-aid users' amplification characteristics that they are already accustomed to, can cause discomfort. The authors also claimed that future studies should also estimate the importance of any benefit found and evaluate the reasons why participants are reporting these benefits.

In summary, current evidence indicates that the initial fit approach often fails to achieve the prescriptive acoustic gain and output of hearing aids, however, evidence which would clearly show that REM-based hearing aid fitting (which is time-consuming) is clinically relevant and cost-effective is lacking, and thus warrants further studies.

Our main research question is whether REM-based fitting improves the patient reported outcome measures - PROMs (SSQ, HERE) and performance-based outcome measures (speech-reception threshold in noise) over initial fit approach. These are the primary outcomes of our study. An additional research question is whether REM-based fitting improves hearing aid usage (self-reported \& log-data report). Eventually, the investigators will calculate the cost-effectiveness of REM-based fitting. These are the secondary outcomes of our study.

02

Conditions studied

  • Sensorineural Hearing Loss, Bilateral

Keywords

  • REM
  • Real Ear Measurements
  • Sensorineural Hearing Loss
  • Hearing Aid Fitting
  • Speech Intelligibility Tests in Noise
  • HERE
  • SSQ-49
03

In context

Hearing Loss, Sensorineural

371 studies on the registry are indexed under Hearing Loss, Sensorineural; 112 are open to participants now.

This study's enrollment of 101 is above the median of 32 across 264 interventional studies indexed under Hearing Loss, Sensorineural.

Browse Hearing Loss, Sensorineural studies →

Lead sponsor

Kuopio University Hospital is the lead sponsor of 132 studies on the registry; 23 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 80 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • all first-time adult patients (18-80 years of age) eligible for bilateral hearing aid rehabilitation based on an evaluation by an otolaryngologist or an audiologist

Exclusion criteria

Exclusion Criteria:

  • confirmed cases of cognitive decline or dementia
  • unilateral or conductive hearing impairment
05

Study design

Phase
Not applicable
Primary purpose
Supportive care
Allocation
Randomized
Intervention model
Crossover assignment
Masking
Double (Participant, Care provider)
Enrollment
101 participants (actual)

Study arms

  • Active comparator
    Hearing Aid Manufacturer's Software Group

    Participants' hearing aids are fitted by using manufacturer's software.

    Other: Hearing Aid Manufacturer's Software · Other: REM (Real Ear Measurements)

  • Active comparator
    REM Group

    Participants' hearing aids are fitted by REM (Real Ear Measurements) method.

    Other: Hearing Aid Manufacturer's Software · Other: REM (Real Ear Measurements)

Interventions

  • OtherHearing Aid Manufacturer's Software

    When using hearing aid manufacturer's software (s.c. "first-fit" or "initial fit") the fitting will follow the guided fitting procedure in the fitting software.

  • OtherREM (Real Ear Measurements)

    Participants' hearing aids are fitted by using REM. In this method REM measurement tube is placed inside participant's ear canal near the tympanic membrane and the Real Ear Unaided Gain (REUG) is measured. REUG is used to measure the ear canal without any hearing device and shows the patients ear acoustics. Next the hearing aid is placed on the patients ear together with the REM measurement tube. In REM measurements the Real-Ear Occluded Gain (REOG) is measured with the hearing aid off. REOG allows consideration of the attenuation caused by the earpiece and its obstructing effect of external sounds. Next Real Ear Aided Response (REAR) is measured with the hearing device on. REAR allows measurement of the hearing device's amplification effect within the patients' ear and includes the effect of the patient's ear acoustics.

06

What researchers measure

Primary outcomes

  1. Patient Related Outcome Measure: Speech, Spatial and Qualities of Hearing Scale (SSQ)

    Participants are asked to fill out SSQ questionnaire during every clinical visit. This questionnaire includes 49 items with a numeric rating scale from 0 to 10 for each item and allows the assessment of hearing with and without hearing aids. Higher scores mean better outcome.

    Time frame: Change measures: 0 months, 2 months, 4 months, 6 months.

  2. Patient Related Outcome Measure: Hearing in Real-Life Environments (HERE)

    Participants are asked to fill out HERE questionnaire during every clinical visit. Questionnaire includes 15 items with a numeric rating scale from 0 to 10 for each item and allows the assessment of hearing with and without hearing aids. Higher scores mean worse outcome.

    Time frame: Change measures: 0 months, 2 months, 4 months, 6 months.

  3. Performance-based Outcome: Finnish matrix Sentence Test (FMST)

    Participants will conduct Finnish Matrix Sentence Test (FMST) during every clinical visit. This test measures participants' speech perception in noise.

    Time frame: Change measures: 0 months, 2 months, 4 months, 6 months.

  4. Performance-based Outcome: Digit Triple Test (DTT)

    Participants will conduct Digit Triple Test (DTT) during every clinical visit. This test measures participants' speech perception in noise.

    Time frame: Change measures: 0 months, 2 months, 4 months, 6 months.

Secondary outcomes

  1. Objective differences of the fitting parameters

    Difference in desibel levels between initial fit and REM

    Time frame: Change measures: 0 months and 2 months

  2. Fitting preference

    Participants' preferences are measured by likert scale (1-10).

    Time frame: 12 months after the beginning of clinical visits

  3. Hearing aid usage

    Participants' self-reported hearing aid usage and log-data report are recorded.

    Time frame: 12 months after the beginning of clinical visits

  4. Cost effectiveness

    Additional time consumption for REM and number of additional contacts to the clinic are recorded.

    Time frame: Between 0-12 months.

07

Study locations

1 site
  • Kuopio University Hospital
    Kuopio, 70210, Finland
08

References and documents

Publications

  • Abrams HB, Chisolm TH, McManus M, McArdle R. Initial-fit approach versus verified prescription: comparing self-perceived hearing aid benefit. J Am Acad Audiol. 2012 Nov-Dec;23(10):768-78. doi: 10.3766/jaaa.23.10.3. PubMed 23169194 ↗
  • Almufarrij I, Dillon H, Munro KJ. Does Probe-Tube Verification of Real-Ear Hearing Aid Amplification Characteristics Improve Outcomes in Adults? A Systematic Review and Meta-Analysis. Trends Hear. 2021 Jan-Dec;25:2331216521999563. doi: 10.1177/2331216521999563. PubMed 33899603 ↗
  • Almufarrij I, Munro KJ, Dillon H. Does probe-tube verification of real-ear hearing aid amplification characteristics improve outcomes in adult hearing aid users? A protocol for a systematic review. BMJ Open. 2020 Jul 19;10(7):e038113. doi: 10.1136/bmjopen-2020-038113. PubMed 32690533 ↗
  • Denys S, Latzel M, Francart T, Wouters J. A preliminary investigation into hearing aid fitting based on automated real-ear measurements integrated in the fitting software: test-retest reliability, matching accuracy and perceptual outcomes. Int J Audiol. 2019 Mar;58(3):132-140. doi: 10.1080/14992027.2018.1543958. Epub 2018 Dec 4. PubMed 30513024 ↗
  • Scollie S, Ching TY, Seewald R, Dillon H, Britton L, Steinberg J, Corcoran J. Evaluation of the NAL-NL1 and DSL v4.1 prescriptions for children: Preference in real world use. Int J Audiol. 2010 Jan;49 Suppl 1:S49-63. doi: 10.3109/14992020903148038. PubMed 20109089 ↗
  • Hawkings DP, Cook JA. Hearing aid software predictive gain values: How accurate are they? The Hearing Journal. 2003; 56(7): 26-34.
  • Aarts NL, Caffee CS. Manufacturer predicted and measured REAR values in adult hearing aid fitting: accuracy and clinical usefulness. Int J Audiol. 2005 May;44(5):293-301. doi: 10.1080/14992020500057830. PubMed 16028792 ↗
  • Aazh H, Moore BC, Prasher D. Real ear measurement methods for open fit hearing aids: modified pressure concurrent equalization (MPCE) versus modified pressure stored equalization (MPSE). Int J Audiol. 2012 Feb;51(2):103-7. doi: 10.3109/14992027.2011.609182. Epub 2011 Oct 24. PubMed 22023487 ↗
  • Aazh H, Moore BC. The value of routine real ear measurement of the gain of digital hearing aids. J Am Acad Audiol. 2007 Sep;18(8):653-64. doi: 10.3766/jaaa.18.8.3. PubMed 18326152 ↗
  • Mueller HG, Picou EM. Survey examines popularity of real-ear probe-microphone measures. Hearing Journal. 2010; 63(5): 27-32.
  • Valente M, Oeding K, Brockmeyer A, Smith S, Kallogjeri D. Differences in Word and Phoneme Recognition in Quiet, Sentence Recognition in Noise, and Subjective Outcomes between Manufacturer First-Fit and Hearing Aids Programmed to NAL-NL2 Using Real-Ear Measures. J Am Acad Audiol. 2018 Sep;29(8):706-721. doi: 10.3766/jaaa.17005. PubMed 30222541 ↗
  • Walravens E, Keidser G, Hickson L. Consistency of Hearing Aid Setting Preference in Simulated Real-World Environments: Implications for Trainable Hearing Aids. Trends Hear. 2020 Jan-Dec;24:2331216520933392. doi: 10.1177/2331216520933392. PubMed 32602407 ↗

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Mar 4, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05621798
Lead sponsor
Kuopio University Hospital
Collaborators
Turku University Hospital
Responsible party
Sponsor
First posted
Nov 18, 2022
Start date
Sep 7, 2022
Primary completion
Sep 12, 2025
Completion
Sep 12, 2025
Last update
Mar 4, 2026

Study contacts

Aarno Dietz, Prof.
study chair · ENT specialist
Matti Iso-Mustajärvi, Ass. prof.
study director · ENT specialist
Laura Ihalainen, MD
principal investigator · ENT specialist
Tytti Willberg, PhD
study director · ENT specialist
Pia Linder, PhD
study director · Medical engineer

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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