Digital health literacy is the ability to find, understand, evaluate, and apply health information from online sources to make decisions about your health. It goes beyond simply knowing how to use a computer or smartphone. It combines traditional reading skills, a basic grasp of health and science concepts, and the capacity to judge whether a website, app, or search result is actually trustworthy.
The Six Skills Behind Digital Health Literacy
In 2006, researchers Cameron Norman and Harvey Skinner proposed a framework called the Lily Model that broke digital health literacy into six overlapping skill sets. Think of each one as a petal on a flower, all feeding into a single core ability. Those six literacies are: traditional literacy (reading and writing), health literacy (understanding health concepts and systems), science literacy (grasping how evidence works), computer literacy (operating devices and software), information literacy (searching for and filtering information), and media literacy (critically evaluating sources and recognizing bias).
What makes this framework useful is that weakness in any single area can undermine the whole process. Someone might be perfectly comfortable navigating a website but lack the science background to tell a well-designed clinical trial from a poorly sourced blog post. Another person might understand health concepts deeply but struggle with the technology needed to access a patient portal or telehealth visit. Digital health literacy sits at the intersection of all six skills, and gaps in one area often explain why people who seem capable in others still struggle with online health information.
Why It Matters for Managing Health
People with stronger digital health literacy tend to manage chronic conditions more effectively. A study examining self-management behaviors like medication adherence and symptom tracking found that adults with adequate digital health literacy had roughly 3.6 times greater odds of reporting that they managed their illness well at home compared to those with lower skills. That’s a meaningful difference, especially for conditions like diabetes, heart disease, or hypertension where daily self-care directly affects long-term outcomes.
The connection makes intuitive sense. If you can find reliable information about your condition, understand what your lab results mean through a patient portal, and evaluate whether a new supplement claim holds up, you’re better equipped to stay on top of your treatment plan. If those tasks feel confusing or overwhelming, you’re more likely to disengage or rely on unreliable sources.
How Common Is Low Digital Health Literacy?
More common than you might expect. A systematic review of studies published between 2020 and 2025 found that across global populations, average scores on the most widely used measurement tool (the eHEALS scale, scored from 8 to 40) landed at a weighted mean of 24.3. Half of the studies reviewed had average scores below 30, a threshold researchers consider reflective of relatively low digital health literacy. Some study populations scored as low as 12.6 on average.
Three demographic factors consistently predict lower scores. Age is the strongest: twelve out of twenty-one studies in one review found older adults had significantly lower digital health literacy than younger people. Education level is the second major predictor, with roughly three-quarters of studies finding a direct link between more years of education and higher scores. Low socioeconomic status rounds out the top three, often compounded by limited internet access and less day-to-day exposure to digital tools. Older adults with cancer and their caregivers, for instance, report both low digital health literacy and decreased confidence in evaluating online health information, with barriers including poor digital access and lack of familiarity with technology.
The Misinformation Problem
You might assume that people who are more comfortable online would be better at spotting health misinformation. The reality is more complicated. A European study found that general health literacy is a strong protective factor: people who scored well on traditional health literacy measures were significantly less likely to believe false health claims. But people who scored higher on digital health literacy alone actually showed a slight tendency to be more susceptible to misinformation, not less.
One explanation is that comfort with digital tools can breed overconfidence. If you’re skilled at navigating websites and apps, you may trust your ability to find good information without scrutinizing it as carefully. This finding highlights why digital health literacy isn’t just about technical skill. The critical evaluation piece, knowing how to question sources, check claims against evidence, and recognize persuasion tactics, is the part that actually protects you from bad information.
AI Has Raised the Bar
The rise of AI-generated health content has added a new layer of complexity. A perspective from the National Academy of Medicine argues that basic digital health literacy is no longer enough. The authors describe a new competency they call Critical AI Health Literacy: the ability to question the systems behind AI tools, recognize bias in their outputs, and cross-check AI-generated answers against multiple sources.
This goes well beyond learning how to write a good prompt for a chatbot. It means understanding that AI tools can reflect the priorities of the companies that built them, that their training data may contain gaps or biases, and that a confident-sounding AI response can still be wrong. The National Academy of Medicine framework encourages treating AI as a “thought partner” rather than an “oracle,” using it to explore questions and generate starting points while maintaining your own judgment about the answers.
What Actually Improves Digital Health Literacy
Several types of interventions have shown measurable results in randomized controlled trials. They generally fall into a few categories.
- Online decision aids: Giving patients structured, evidence-based tools for specific health decisions (like whether to start a new medication for hypertension) improves their ability to engage with health information more than unguided internet searching.
- Health coaching combined with digital tools: Pairing an electronic health management program with regular coaching sessions proves more effective for self-management than either approach alone. The coaching helps bridge the gap between having access to a tool and actually knowing how to use it well.
- Physician communication training: When doctors receive training in how to communicate more clearly and check for understanding, their patients show improved health literacy, better medication adherence, and stronger self-efficacy. This matters because a provider who explains things well can help patients make better sense of the information they later find online.
- Culturally adapted digital training programs: For older adults and people from diverse linguistic backgrounds, workshops that combine hands-on device training with health information skills in a culturally relevant format improve both digital proficiency and health literacy. One such program, focused on teaching middle-aged and older adults to use mobile devices effectively, also showed improvements in quality of life and well-being.
The common thread across successful interventions is that they don’t just hand people information. They build the underlying skills to find, evaluate, and act on information independently. An e-learning course emphasizing critical thinking alongside practical knowledge, for example, produced higher health literacy scores along with gains in self-awareness and competency that participants could apply beyond the specific health topic being taught.
Measuring Your Own Digital Health Literacy
Researchers have developed at least seven validated instruments to assess digital health literacy, but the most widely used is the eHEALS, an eight-item self-report questionnaire. It asks you to rate your confidence in tasks like knowing where to find helpful health resources online, knowing how to use the information you find, and being able to tell high-quality from low-quality sources. It’s quick, taking only a few minutes, and gives a general snapshot of your comfort level.
Newer tools have expanded the scope. The Digital Health Literacy Instrument, for instance, includes both self-reported confidence and actual performance-based tasks that test whether people can do what they say they can. This distinction matters because people often overestimate their abilities, particularly when it comes to evaluating source credibility. The eHealth Literacy Questionnaire takes yet another approach, designed to help governments and developers evaluate whether digital health programs are actually meeting users’ needs across seven different dimensions of literacy.
If you want a rough sense of where you stand, ask yourself a few honest questions: Can you find your doctor’s recommended guidelines for a condition using a search engine? Can you tell whether a health website is selling you something versus informing you? Do you know how to check whether a claim you see on social media has evidence behind it? If any of those feel uncertain, you’re not alone, and targeted practice in those specific areas can make a real difference.