Transdiagnostic Mental Health: Why Wave Focuses on Mechanisms, Not Categories
Wave is a mental health platform built around coaching, measurement-based care, and integrated care navigation. This page explains the clinical model underneath the coaching practice — a transdiagnostic, mechanism-informed framework designed by Dr. Sarah Adler, Clinical Professor of Psychiatry at Stanford, that targets the underlying drivers of distress rather than starting from diagnostic labels.
Why we go beyond diagnostic labels
The DSM (Diagnostic and Statistical Manual) and the diagnostic categories it codifies are useful tools in mental health care. They support communication between clinicians, billing infrastructure, research design, and certain clinical decisions. We use them where they help.
But diagnostic categories also have well-documented limitations as the foundation of treatment. Two people with the same diagnosis can present very differently. Two people with different diagnoses can share the same underlying patterns. A person rarely fits cleanly into one category — comorbidity is the norm, not the exception. And the symptom profiles that bring people in often shift over the course of care, even when the underlying drivers haven't.
A clinical model built primarily around diagnostic labels has to do a lot of work to manage these realities. A clinical model built around the mechanisms underneath the labels can work with them more directly.
What we mean by transdiagnostic, mechanism-informed care
Wave's clinical model targets three layers of what shapes mental health: the underlying psychological mechanisms that drive distress, the maintaining factors that keep someone stuck, and the social determinants that shape what's possible in a person's life. These layers cut across diagnostic categories. Treating them produces change across categories.
Underlying mechanisms
The mechanisms we work with show up across many different presentations:
Avoidance — the pattern of pulling away from situations, emotions, or thoughts that feel threatening, which provides short-term relief but reinforces the threat over time. Shows up in anxiety, depression, trauma, substance use, eating concerns, and many other presentations.
Emotion dysregulation — difficulty identifying, tolerating, or modulating emotional experience. A driver of mood disorders, anxiety, relationship difficulties, and behavioral patterns from disordered eating to substance use to interpersonal conflict.
Cognitive rigidity — getting stuck in particular patterns of thinking that limit problem-solving, perspective-taking, and adaptive response. Implicated across depression, anxiety, trauma, neurodivergence, and stress-related concerns.
Behavioral activation deficits — low engagement with the activities, relationships, and experiences that sustain wellbeing, often present in depression but also in burnout, grief, and life transition.
Self-criticism and rumination — repetitive negative self-focused thinking that intensifies distress and inhibits action. Threads through depression, anxiety, eating concerns, and perfectionism.
These are five of the underlying mechanisms most commonly addressed in our work. The full set is broader, and which mechanisms matter most for any given member depends on their case conceptualization.
A coach working in a transdiagnostic model isn't asking "what's the diagnosis and what's the protocol for that diagnosis?" They're asking "what's actually driving what this person is experiencing, and what skills will help with that mechanism?"
Maintaining factors
Even when an underlying mechanism is identified, change often gets blocked by what's keeping the pattern in place. Sleep disruption maintains depression. Avoidance maintains anxiety. Social isolation maintains both. Substance use can be both a presenting concern and a maintaining factor for the underlying mechanism it's masking.
Wave's coaches are trained to identify and work with maintaining factors, not just symptoms. A member who comes in for depression may find that addressing sleep disruption is the lever that lets the rest of the work happen. A member who comes in for anxiety may need to address self-criticism before exposure work becomes tolerable. The work follows the actual structure of the person's experience, not the structure of the diagnostic label.
Social determinants
Distress doesn't happen in a vacuum. Financial stress, caregiving burden, housing instability, food insecurity, employment strain, and discrimination all shape what's biologically, psychologically, and socially possible for a person. A clinical model that ignores these realities ends up prescribing changes that members don't have the capacity to make.
Wave collects social determinants context at intake and through ongoing dialogue with coaches. Goals get calibrated to what's workable in a person's actual life. Where social determinants exceed coaching scope, our care team navigates members to appropriate resources — through partner networks, employer benefits, or community supports.
The evidence base for transdiagnostic care
Transdiagnostic, mechanism-informed approaches are not novel. They're rooted in decades of clinical research, including:
The Unified Protocol (Barlow and colleagues) — a transdiagnostic CBT-based protocol that targets emotional disorders generally rather than disorder-specific manualized treatments
Process-based therapy (Hayes, Hofmann, and colleagues) — emphasizing the underlying processes of change rather than diagnosis-specific treatments
The Research Domain Criteria (RDoC) framework from NIMH — a research-based approach to organizing mental health around underlying systems and dimensions rather than DSM categories
A growing evidence base shows that transdiagnostic interventions, validated in controlled trials, achieve outcomes comparable to disorder-specific treatments while improving scalability, flexibility, and suitability for stepped-care and population-level deployment. This is why the approach is increasingly attractive for digital and population health contexts where treating millions of people through diagnosis-specific protocols is operationally untenable.
Wave's clinical model incorporates established evidence-based modalities — CBT, DBT, ACT, Positive Psychology, Motivational Interviewing — and applies them through a transdiagnostic, mechanism-informed framework. The framework guides which techniques are most useful for which mechanism in which person, rather than treating modality choice as a matter of clinician preference.
How transdiagnostic care works in practice at Wave
When a member begins working with a Wave coach, the coach builds a case conceptualization — a structured understanding of what's happening for this person. The conceptualization identifies:
The presenting concerns (what brought the member in)
The underlying mechanisms most likely driving those concerns
The maintaining factors keeping the patterns in place
The relevant social determinants and life context
The member's strengths, values, and what meaningful change looks like to them
This case conceptualization is the spine of the coaching relationship. It shapes which skills the coach teaches, which techniques they use, and how they sequence the work. As measurement data and the relationship progress, the conceptualization gets refined. Coaching is iterative: assessment, intervention, reassessment, adjustment.
The transdiagnostic model also shows up between sessions. Wave's library of more than a thousand evidence-based micro-interventions — short, structured content modules grounded in our clinical model — is organized around mechanisms and maintaining factors, not diagnostic categories. A member working on emotion regulation can engage with content targeting that mechanism whether their primary presentation is anxiety, depression, trauma, or interpersonal difficulty. The content recommendation system selects what's relevant for the member based on case conceptualization, assessment data, and engagement patterns, surfacing mechanism-aligned skills at the points they're most useful.
Members can move across content areas in our Pathways library as the work surfaces what's actually relevant. A member who starts in Anxiety Management might shift into Sleep & Fatigue when sleep disruption emerges as a maintaining factor. A member in Depression and Low Mood might move into Connection & Loneliness when social withdrawal is identified as a key driver. The structure follows the person, not the diagnosis.
How a transdiagnostic approach differs
When evaluating digital mental health platforms on clinical model, the differences that matter are usually these:
Diagnosis-first vs. mechanism-first. Many platforms route members into diagnosis-specific tracks (an "anxiety program," a "depression program") that apply manualized protocols. Wave starts with case conceptualization and applies skills based on what's actually driving the person's experience.
Modality silos vs. integrated framework. Many platforms offer specific modalities (CBT app, ACT-based program). Wave incorporates multiple evidence-based modalities and uses a transdiagnostic framework to select which to apply for which mechanism in which person.
Symptom checklists vs. case formulation. Many platforms triage based on symptom checklists alone. Wave builds case conceptualizations that include mechanisms, maintaining factors, and social determinants — and uses them to guide care over time.
Static program vs. iterative care. Many platforms run members through a predetermined sequence of modules. Wave's care is iterative — assessment data, coaching observation, and member reflection continuously inform what the work is.
Limited scope vs. broad acuity range. Diagnosis-first models often work best in narrow severity bands, and most coaching research has historically excluded clinically severe populations. Wave's transdiagnostic approach is designed to work across the full clinical severity continuum, with peer-reviewed evidence demonstrating outcomes in members presenting with severe to extremely severe symptoms — and integrated care navigation when scope of practice limits are reached.
Why this matters for plan partners
Plan and employer partners contracting with digital mental health vendors increasingly serve populations with complex, comorbid, and shifting clinical presentations. A diagnosis-first model has to do extra work to fit those realities. A transdiagnostic model is built for them.
Wave's clinical model is particularly suited to:
Populations with high rates of comorbidity (anxiety + depression, depression + substance use, trauma + sleep disruption)
Populations whose presentations don't fit cleanly into diagnostic categories (life transitions, burnout, relational concerns, neurodivergence)
Populations facing significant social determinants challenges
Stepped-care and population-level deployments where modality flexibility matters
The clinical model is also auditable. We can describe how members are assessed, how case conceptualizations are built, how skills are selected, and how care evolves over time — supported by measurement data and structured documentation.
Why this matters for members
For members, what a transdiagnostic approach looks like in practice is a coaching experience that meets you where you actually are. You don't need a clear diagnosis to get started. You don't need to fit your experience into a category. You don't need to choose between programs. Your coach builds an understanding of what's happening for you specifically, and the work follows what's actually relevant — including when that shifts as you learn more about yourself.
It also means the skills you build are skills that work across domains. The capacity to tolerate difficult emotions, the ability to interrupt avoidance patterns, the practice of values-aligned action — these aren't anxiety skills or depression skills. They're skills for being human, applied to whatever is showing up in your life.
Wave's broader clinical model
This page focuses on the transdiagnostic, mechanism-informed framework underneath the coaching practice. The rest of Wave's clinical model — the coaching practice itself, our outcomes measurement infrastructure, and our approach to AI in mental health — is described in our other cornerstone posts:
For health plan and employer partners
Plan and employer partners evaluating Wave's clinical model can reach our partnerships team at partners@wavelife.io. We share full documentation on our case conceptualization framework, our coaching protocols, our supervision and calibration practices, and our outcomes data across diverse member populations.
For prospective members
Members and prospective members can explore what coaching looks like across different presentations through our Pathways library.
Wave is a mental health platform serving members through health plan and employer partnerships. Our outcomes research is published in JMIR Formative Research (Pickover & Adler, 2025).