The routine primary care appointment is a familiar scene. A patient comes in for a check-up, and the nurse runs through the usual checklist: temperature, blood pressure, pulse, weight, and sometimes pulse oximetry. Sleep rarely gets a mention, unless the patient brings it up. When it does, it's often dismissed with a brief look of sympathy and the familiar advice to relax before bed.
Sleep sits among the strongest behavioral and physiological predictors of chronic illness, cognitive decline, mental health outcomes, and burnout. Research has shown that just one night of sleep data can flag elevated risk across 130 disease categories with high accuracy. These outcomes include all-cause mortality, dementia, myocardial infarction, and heart failure.
A recent umbrella review pooled 29 systematic reviews and found two-way, physiologically mediated links between sleep and depression, anxiety, and cardiometabolic conditions. Researchers at Washington State University published an objective description of sleep in chronic insomnia, highlighting night-to-night swings in sleep efficiency, sleep latency, and intermittent wakefulness.
Despite the clear clinical rationale for measuring sleep, routine primary care generally does not screen for sleep disorders. Obstructive sleep apnea affects an estimated 960 million people worldwide, with as much as 80 percent of moderate-to-severe cases still undiagnosed. Chronic insomnia hits more than 800 million people worldwide, and both disorders have costly and common downstream consequences, such as cardiovascular disease and depression.
Clinicians cannot treat what they do not uncover, and they often do not even ask the questions that would surface sleep problems. The American College of Physicians has recommended cognitive behavioral therapy for insomnia as first-line treatment since 2016, but most people with chronic insomnia never receive CBT-I, partly because they are never identified in the first place.
Consumer tech has filled the gap left by healthcare, with people measuring their sleep using wearables, phone apps, and bedside devices. Apple, Google, and the broader consumer market have helped make sleep feel "countable," something worth paying attention to. However, the next step is where things break: interpreting the data and turning it into insights and care.
Most primary care practices are not designed to receive sleep data, and physicians often have little training in interpreting it. Insurers are rarely arranged to pay for the time and work needed to investigate it. Patients end up doing the interpretation themselves, usually with mixed results, and often while surrounded by wellness content that ranges from thoughtful to careless.
Medicine needs to do four concrete things to take sleep seriously. First, bring validated sleep measurement into routine primary care, right alongside the other vitals. Second, screen consistently for the three most common, most underdiagnosed sleep disorders: obstructive sleep apnea, chronic insomnia, and Restless Legs Syndrome. Third, build a referral and treatment path that functions, with more sleep medicine capacity, broader access to CBT-I, and tighter collaboration between sleep specialists and the rest of the care team.
Fourth, treat the sleep data people already collect as a legitimate input. When a patient walks into an appointment carrying months of self-collected data, they are doing work the system has not formally asked anyone to do. Medicine should take that seriously and leverage the power of continuous physiological signals in everyday care.
The healthcare system cannot afford to ignore sleep any longer. It's time to treat sleep like the vital sign it is and close the gap between what we know and what we do.
