The Members Your Benefit Reaches Last
The employees and members with the greatest barriers to care are usually the ones a benefit engages least. That gap is measurable, and it is fixable.
The paradox of average engagement
Open a benefits report and you see one number for engagement. It hides who actually showed up. When a mental health program reports 8 percent utilization, that 8 percent is rarely a cross-section of the population. It skews toward members who already have the time, the language, the insurance literacy, and the lower stigma to seek care. The members carrying the heaviest load, and often the highest downstream cost, are underrepresented in that number.
This is the reach problem. A benefit can look healthy in aggregate while missing the people it was built to help most.
Who traditional care reaches last
Several groups consistently engage less with conventional mental health benefits. Members from racial and ethnic minority groups face provider shortages, fewer culturally concordant clinicians, and well-documented mistrust rooted in past experience. Lower-income members run into cost, scheduling, and transportation barriers that a copay figure never captures. Members with more severe symptoms often assume a short-term benefit is not built for them, so they never start. Shift workers, caregivers, and rural members hit access windows that do not fit their lives.
The result is an equity gap that compounds. The populations with the greatest barriers to care are the same ones that show up later, sicker, and more expensive.
Why coaching changes the reach
Coaching lowers three of the barriers that keep these members out. Cost, because coaching sits below therapy on the price curve and can serve as the front door for members who do not need therapy first. Stigma, because a coaching relationship reads as support rather than diagnosis. Access, because sessions are scheduled around a member's life and care continues between them through the app and pathways.
Lower barriers get members in the door. Reach only counts if it produces improvement, and that is where measurement separates a claim from a result.
What the data shows
Wave's peer-reviewed research was conducted in a clinically and demographically diverse population. The coaching and control groups did not differ significantly in gender, race, ethnicity, or relationship status at baseline, and more than half of participants presented with severe or extremely severe symptoms. Improvement held among members who entered with clinically elevated symptoms, not only those already in the normal range at intake (Pickover A, Adler S. JMIR Formative Research 2025;9:e71346).
Separately, Wave's internal book-of-business data points the same direction. Among members who identify as part of a racial or ethnic minority group, 65 percent show clinically significant improvement. Among low-income members, 54 percent do. Published benchmarks for traditional therapy over a comparable window sit at 20 to 40 percent. These figures reflect members who voluntarily disclosed demographic information, and they come from operational measurement rather than the published study.
The two sources are reported separately on purpose. One is controlled research. The other is what Wave sees across its member population. Read together, they describe a model that reaches members traditional care often leaves behind, then verifies that those members actually get better.
What benefits leaders can ask for
Aggregate engagement is the wrong headline metric for equity. The more honest question is whether improvement holds across subgroups. Ask a vendor to stratify outcomes by race, ethnicity, income band, and baseline severity, using a validated instrument instead of satisfaction scores. Wave administers the DASS-21 every 30 days and the WAI-SR after the first month, which makes subgroup outcomes auditable rather than anecdotal.
A benefit that improves the average while widening the distance between members is not doing the job. One that narrows it is worth paying for.
Reach is the real test
The members a benefit reaches last are usually the ones it was designed to help most. Reaching them takes a lower-cost front door, a relationship that does not require a diagnosis to begin, and measurement honest enough to show whether improvement is evenly distributed. That is the standard Wave builds toward, and the one it reports against.
Wave is measurement-based mental health coaching built for the full range of members a health plan or employer actually serves.
Want to learn more? Reach out to us at partners@wavelife.io.

