For Clinicians
Resources for integrating evidence-based digital tools into clinical practice. We aim to augment your work, not complicate it.
Evidence Summary
| Intervention | Effect Size | Evidence Grade | Clinical Notes |
|---|---|---|---|
| Digital CBT (therapist-supported) | d ≈ 0.54 | Strong | Approaches face-to-face when guided |
| Digital CBT (pure self-help) | d ≈ 0.25 | Moderate | High dropout, modest effects |
| HRV Biofeedback | d ≈ 0.81 | Strong | Good for anxiety, panic, stress |
| Digital Mindfulness | d ≈ 0.35-0.55 | Moderate | Variable quality across apps |
| AI Chatbots | Mixed | Emerging | Crisis detection failures documented |
Integration Approaches
1. Between-Session Support
Digital tools can maintain therapeutic momentum between appointments:
- Breathing exercises to practice anxiety management skills
- Mood tracking to identify patterns for session discussion
- Visual immersion for relaxation practice
Evidence: Homework compliance predicts CBT outcomes. Digital tools may improve compliance by reducing friction.
2. Waitlist Management
For patients waiting for treatment slots:
- Low-intensity digital interventions as first step
- Self-monitoring to characterize presentation
- Psychoeducation resources
Caution: Not appropriate for high-risk patients. Screen carefully.
3. Stepped Care
Digital tools fit naturally into stepped care models:
- Step 1: Self-help resources, monitoring
- Step 2: Guided digital interventions (with coach/clinician)
- Step 3: Face-to-face therapy, possibly with digital adjuncts
- Step 4: Specialist services
4. Post-Treatment Maintenance
After acute treatment, digital tools can support relapse prevention:
- Skills practice without scheduling appointments
- Early warning monitoring
- Accessible support between booster sessions
Safety Considerations
Research has documented significant limitations in how AI chatbots respond to mental health crises. Do not recommend AI chatbots for patients with active suicidal ideation or self-harm without robust human backup and immediate escalation pathways.
Patient Selection
Digital tools are generally more appropriate for:
- Mild to moderate depression/anxiety
- Patients comfortable with technology
- Adjunctive use with ongoing treatment
- Maintenance phase after acute treatment
Digital tools are generally less appropriate for:
- Active suicidal ideation or self-harm
- Psychotic symptoms
- Severe presentations requiring immediate intervention
- Patients who prefer human interaction
- Limited technology access or literacy
Monitoring
When recommending digital tools:
- Establish check-in schedule
- Review usage and progress regularly
- Have clear escalation path if symptoms worsen
- Document as part of treatment plan
The Engagement Reality
When recommending apps or digital tools, set realistic expectations:
Implication: Your involvement dramatically improves the likelihood that digital tools will actually be used. Brief check-ins about app usage, discussing what's working, and troubleshooting barriers all help.
Our Contributed Tools
We contribute several simple tools that may be useful adjuncts. All are:
- Free and open-source
- Non-verbal (no literacy requirements)
- Physiologically-based (HRV, stress response)
- Low risk of harm
- Documented evidence base