Digital health literacy means having the skills to find, understand, and use health information from online sources like websites, apps, and telehealth services. It is not just about owning a device or having internet access. It means knowing how to use technology to make smart health choices.
The Agency for Healthcare Research and Quality (AHRQ) says that digital health literacy is an important skill for patients to take part in telehealth and handle their health well. This is especially true in mental health care, where many patients use digital platforms for counseling, therapy, tracking symptoms, and managing their own care.
Studies show that people with good digital health skills use online mental health therapies better. They are more likely to attend therapy sessions regularly, understand what is taught, and use those ideas in daily life. This leads to improved health results.
Even though digital mental health tools are becoming more common, many people still cannot use them well. Differences in access often match social and economic disadvantages related to race, income, age, and where people live.
For example, about 21 million Americans do not have high-speed internet, which is needed for good telehealth care. This problem mostly affects Black and Native American communities. It also affects patients in rural and low-income areas who may not have reliable connections. This can make it hard for them to join online therapy or use mental health programs.
People who speak English less than very well face extra challenges. The U.S. Census says over 25 million people fall into this group. Language and cultural differences can make it harder for them to trust and use digital health tools.
Besides internet access and language, many people have trouble understanding health information or feel uncomfortable with technology. Mental health care can be harder when people worry about stigma or privacy. Low digital health skills may cause people to miss treatments or stop therapy early.
Organizational health literacy is about how well healthcare groups provide information so patients can find, understand, and use it. Medical staff and managers should work to make communication clear, use materials that fit the culture of patients, and create easy-to-use digital platforms.
The Centers for Medicare & Medicaid Services (CMS) say health literacy is a key part of fairness in healthcare. CMS advises health organizations to use “universal precautions” for health literacy by:
Following these steps helps patients understand better. It also reduces mistakes, delays in care, and wrong medication use, which happen more often when people struggle with health or digital skills.
Medical practices in the United States can take clear steps to lower barriers to digital mental health care and help different patient groups.
Artificial intelligence (AI) and automation are being used more in healthcare to make work easier and improve patient experiences. In mental health care, these tools can help with problems around digital skills and access.
AI-Driven Virtual Assistants and Chatbots
AI assistants work all day and night to help patients use mental health resources. They answer questions, remind patients about appointments or medicine, and give mental health tips. Some chatbots can even do quick mental health screenings and guide patients on what to do next.
These AI tools ease the work of front desk staff by handling simple tasks like answering questions and setting appointments. This lets human workers focus on more urgent patient needs. This support is useful in clinics with many Medicaid or low-income patients.
Automated Appointment and Communication Systems
Automatic calls, texts, and follow-up messages help patients stick to treatments and avoid missing visits. For those not used to digital portals, phone systems that work by voice can help schedule appointments and provide info without needing internet or tech skills.
Bias Mitigation Through AI
Research has pointed out risks of bias in AI decisions. Clinics using AI must make sure the tools are clear and fair. AI should assist doctors but not replace their judgment, especially when dealing with sensitive mental health topics affected by culture.
Making AI development fair and ethical helps lower health care gaps caused by bias from providers.
Integration with Electronic Health Record (EHR) Systems
Automated systems make it easier to connect telehealth visits, health check-ins, and patient messages into records. This helps healthcare teams track patient progress better and provide smoother follow-up care.
Technology helps, but needing better digital health skills and access requires support from leaders and lawmakers. The Department of Health and Human Services and Centers for Disease Control and Prevention focus on improving health literacy and fairness in healthcare through rules and funding.
Healthcare groups must follow laws like Title VI of the Civil Rights Act, which says federally funded organizations must provide language help. Meeting the National Standards for Culturally and Linguistically Appropriate Services (CLAS) is also becoming more closely checked by state Medicaid programs.
Leaders should make health literacy part of their goals, train staff often, and check that digital tools are fair and inclusive. Doctors, IT workers, and staff must work together to build care systems that help all patients move past digital barriers.
Digital health literacy affects how well patients use online mental health resources in the U.S. Medical practice managers, owners, and IT leaders should know the challenges patients face. These include poor internet access, language differences, and different levels of digital skills.
Better health results need a mix of clear organizational communication, cultural understanding, tech help, and smart use of AI tools to improve workflows and patient care. Practices that use these ideas will be able to offer fair, useful mental health services in a world that is more digital every day.
JMIR is a leading, peer-reviewed open access journal focusing on digital medicine and health care technologies. It ranks highly in Medical Informatics and Health Care Sciences, making it a significant source for research on emerging digital health innovations, including public mental health interventions.
JMIR provides open access to research that includes applied science on digital health tools, which allied health professionals can use for patient education, prevention, and clinical care, thus enhancing access to current evidence-based mental health interventions.
The journal covers Internet-based cognitive behavioral therapies (iCBTs), including therapist-assisted and self-guided formats, highlighting their cost-effectiveness and use in treating various mental health disorders with attention to engagement and adherence.
Therapist-assisted iCBTs have lower dropout rates compared to self-guided ones, indicating that therapist involvement supports engagement and adherence, which is crucial for effective public mental health intervention delivery.
Long-term engagement remains challenging, with research suggesting microinterventions as a way to provide flexible, short, and meaningful behavior changes. However, integrating multiple microinterventions into coherent narratives over time needs further exploration.
Digital health literacy is essential for patients and providers to effectively utilize online resources. Tools like the eHealth Literacy Scale (eHEALS) help assess these skills to tailor interventions and ensure access and understanding.
Biofeedback systems show promise in improving psychological well-being and mental health among workers, although current evidence often comes from controlled settings, limiting generalizability for workplace public mental health initiatives.
AI integration offers potential improvements in decision-making and patient care but raises concerns about transparency, accountability, and the right to explanation, affecting ethical delivery of digital mental health services.
Barriers include maintaining patient engagement, ensuring adequate therapist involvement, digital literacy limitations, and navigating complex legal and ethical frameworks around new technologies like AI.
JMIR encourages open science, patient participation as peer reviewers, and publication of protocols before data collection, supporting collaborative and transparent research that can inform more accessible mental health interventions for allied health professionals.