Editor’s note: Ear to the Ground is a monthly column from Dr. Brian Taylor, offering timely reflections on research, technology, clinical practice, and emerging trends in hearing care. You can read last month’s column here.
Models, frameworks, and heuristics—all three terms describe similar things: simple guidelines, rules, or shortcuts used to solve a complex problem, better understand a concept, or make a decision quickly.
Audiology relies on dozens of them to help us better navigate the complexities of patient care. The Stages of Change model, for example, helps us understand the behaviors associated with a chronic condition such as age-related hearing loss, which often has a gradual onset.
Many clinicians also rely on the COM-B model, which can be applied to numerous aspects of clinical practice, including patients’ use of hearing aids or smartphone apps and the availability of over-the-counter hearing aids.
A new framework has recently emerged that does an effective job of helping us understand how our ears and brain work together to foster successful communication in challenging listening situations. It goes by the nondescript name of the DRL framework.
Understanding the DRL Framework
A group of researchers from the United Kingdom and United States recently introduced the Data-Resource-Language framework, or DRL model (Mattys, O’Leary, McGarrigle, and Wingfield, 2026).
The DRL framework suggests that speech understanding is limited by three factors:
- Acoustic information, which the researchers call data-limiting.
- Cognitive resources, such as attention, working memory, and processing speed, which are referred to as resource-limited.
- Linguistic ability, including the use of semantics, prosody, and other cues to understand the message, which is referred to as language-limited.
What makes the DRL framework especially useful is that the factors that matter most for successful communication in challenging listening situations depend foremost on the quality of the speech signal.
Take, for example, an older person with hearing loss. When the signal is very poor, the auditory system simply does not have enough usable information. If speech is degraded or background noise is severe, no amount of added attention or working memory can recover signal components that never arrived in a usable state. Under these circumstances, the system is data-limited—a state reflected in the red zone of the figure below.
From Data-Limited to Resource-Limited
The researchers argue that when a patient is in the data-limited zone, expending greater cognitive effort is largely ineffective.
According to the DRL framework, when an individual with hearing loss is in a data-limited situation—the red zone—signal quality can be improved by restoring audibility and improving the signal-to-noise ratio with properly fitted hearing aids.
Once data is no longer the limiting factor, the individual moves into the resource-limited blue zone. The person is then better able to use cognitive resources such as attention, processing speed, and working memory to fill in the blanks when parts of the message are still missed in challenging listening situations.
When Language Becomes the Limiting Factor
At the other end of the continuum, when signal quality is high—the green zone—cognition becomes a less important explanation for differences between listeners, and linguistic ability and knowledge become the limiting factors.
In other words, when an individual is in the green zone, any remaining limitation in understanding speech in noisy situations may relate to the person’s knowledge of the language being spoken.
If, for example, everyone at the dinner table is younger, has good hearing, and speaks the same native language, few cognitive resources are taxed and communication is relatively easy.
What the DRL Framework Means for Clinicians
Here is why the DRL model is helpful to clinicians: It reminds us that we must first address the data-limiting part of the system.
Our primary job, therefore, is to properly fit hearing aids or cochlear implants to optimize audibility and improve the signal-to-noise ratio. In many cases, this will move patients from the red zone into the blue zone.
Next, to help individuals make full use of their cognitive capacity, clinicians can prescribe auditory-cognitive training that focuses on improving working memory and processing speed. This can help patients harness their cognitive resources and may provide meaningful benefits.
Through a combination of well-fitted hearing aids, auditory-cognitive training, and judicious counseling about avoiding noisy places whenever possible, we can move many patients from the red zone, through the blue zone, and close to—or even into—the green zone during noisy conversational situations.
The DRL framework reminds us of the value of holistic care and provides a practical way to bring it to life in clinical practice.
Reference
Mattys, S. L., O’Leary, R. M., McGarrigle, R. A., & Wingfield, A. (2026). Reconceptualizing cognitive listening. Trends in Cognitive Sciences, 30(5), 409–421. https://doi.org/10.1016/j.tics.2025.09.014
Brian Taylor, AuD, is a contributing editor to HHTM. He is also the VP of Clinical Research and Professional Relations for Neurotone. Opinions expressed here are his own. He can be contacted at brian.taylor@neurotone.com.
