Outdated Metrics in a Changed World

The PHQ-9 and GAD-7 weren’t built for digital health or holistic wellness. The PHQ-9 was designed to screen and monitor depression in primary care; the GAD-7 to assess generalized anxiety disorder. Both were developed with support from Pfizer and aimed at tracking symptom severity — not at capturing quality of life.

The world has transformed since 2001. Smartphones, social media, a pandemic, and shifting definitions of wellness have reshaped how we live and feel. Burnout and loneliness are at record highs: Gallup reports that 44% of employees worldwide experience daily stress, and in 2023 the U.S. Surgeon General declared loneliness a public health epidemic. These realities demand more from our measurement systems. Relying solely on decades-old scales risks missing what people are truly experiencing — and how digital health and wellness products are improving lives in real ways.

At their core, these questionnaires miss the human side of impact. They tally symptoms like sadness or worry but don’t ask how someone feels in their life. A person’s PHQ-9 score might stay flat even as their sleep and energy levels improve. Another person might still report anxiety but feel more connected and productive after using a digital health app. These are real gains — just not ones the PHQ-9 or GAD-7 were designed to detect. It’s important to innovate and adapt, so that we’re measuring outcomes that are meaningful for users.

Beyond Symptom Scores: What Really Matters

Focusing only on symptom reduction risks optimizing for the test rather than for true well-being. Real progress means sleeping better, reconnecting with others, regaining purpose, showing up, being more productive, and feeling capable. These outcomes are what matter to individual users – and they’re also what stakeholders increasingly expect to see.

With over 300,000 digital health apps competing for attention, only a small fraction have backed their claims with science-based, real-world evidence. In this crowded landscape, lower PHQ-9 scores aren’t enough. Investors, employers, and payers now are looking for evidence that products:

• Improve daily functioning — helping people show up more fully at work, school, and in life
• Reduce burnout and boosting productivity by meaningfully enhancing well-being
• Lower stress and anxiety while strengthening key drivers of quality of life, like energy, connection, and purpose
• Support better physical health — even contributing to longer lives and fewer sick days
• Deliver consistent, equitable benefits across diverse populations

The companies rising above the noise are redefining success — moving beyond symptom scores to measure what truly matters: functioning, energy, connection, and quality of life. Research shows that improvements in depression or anxiety don’t always translate into better living. A person can feel “less bad” on a PHQ-9 or GAD-7 yet still struggle to find joy or motivation. Reducing symptoms is important, but it’s only part of the story. Relying solely on outdated scales risks missing the outcomes that truly define progress.

Measuring What Matters: New Metrics for Quantifying Health and Wellness

We don’t need to discard PHQ-9 and GAD-7 — we need to build beyond them. Modern health measurement should reflect how people actually live and feel. Digital health and wellness innovators should ask themselves, what does living well look like for our users, and how can we measure that? This can be as simple as asking a user “How do you really feel”, but there are also several new tools that provide a fuller picture of impact:

1. Functioning in Daily Life: Go beyond symptoms to measure how well people are actually functioning. Tools like the WHODAS 2.0 or the Sheehan Disability Scale (SDS) assess whether someone is able to fully participate in work, school, and relationships, putting daily functioning front and center in understanding progress.
2. Quality of Life (QoL): Broad measures such as the WHOQOL-BREF or the SF-12 Health Survey capture quality of life improvements in areas like energy, satisfaction, and everyday living. Improvements in QoL provide clear, science-based evidence that life is getting better — something both individuals and payers can appreciate.
3. Patient-Centered Goals: Thriving looks different for everyone. Tools like the Canadian Occupational Performance Measure (COPM) let individuals define their own success, whether that’s better sleep, less fatigue, or stronger social connection, so progress reflects personal meaning, not just clinical metrics.
4. Broader Symptom Screening: Depression and anxiety are only part of the picture. The DSM-5 Cross-Cutting Symptom Measures capture issues the PHQ-9 and GAD-7 miss, like sleep problems, anger, or substance use, giving a fuller baseline and clearer understanding of change.
5. Digital Biomarkers and Passive Data: Smartphones and wearables now capture objective signals of health and wellness — sleep, activity, heart rate variability, and more. Emerging evidence shows that shifts in these patterns can reveal changes in stress, energy, and well-being before a person even notices, offering a richer, real-time view of how people feel and function.

Together, these approaches — combined with the simple act of asking people how they actually feel — point to a future where progress is defined by how people live, function, and connect, not by symptom scales created two decades ago. When integrated with PHQ-9 and GAD-7, these new measures strengthen science-backed evidence and drive innovation in how we understand, track, and improve quality of life.

The Competitive Edge of Innovation

For digital health companies, expanding measurement isn’t just good science — it’s a strategic advantage. The next generation of solutions will stand out by showing meaningful, measurable improvements in real-world health and well-being.

• Lead with what you truly improve. Align metrics with your core promise — whether it’s better sleep, reduced stress, or faster recovery — and track those outcomes directly.
• Combine the familiar with the innovative. Keep PHQ-9 and GAD-7 for continuity but pair them with metrics that highlight functioning, well-being, and quality of life.
• Make measurement effortless. Minimize burden with in-app prompts, short or single-item surveys, or passive biometric sensing to reduce friction and improve data quality.
• Tell the whole story. Present dashboards that integrate multiple dimensions — symptoms, functioning, and biometric data — to show clear, human-centered impact payers and investors remember.

Digital health and wellness companies that innovate in how they capture evidence of impact will define the next wave of digital health leadership, proving not just that users have fewer symptoms, but that they’re living better, healthier, more connected lives.

The Way Forward

PHQ-9 and GAD-7 standardized mental health assessment and brought legitimacy to early outcome measurement. But they only tell part of the story. If digital health wants to prove real-world impact, it’s time to evolve. Evidence today means not just showing symptom reduction, but also demonstrating better functioning, higher quality of life, and genuine progress toward well-being.

In a world that looks nothing like it did when these tools were created, our definition of success in health and wellness must evolve as well. Behind every data point is a person who wants to feel better, live better, and thrive. Our metrics should reflect that. By embracing broader, science-backed ways to measure outcomes, digital health can move beyond legacy tools and capture what truly drives human health and happiness.

This evolution isn’t optional — it’s the foundation of the next generation of digital health innovation.