Overcoming Obstacles: Addressing Barriers to Health Information Literacy in the Digital Era

Every day, millions of people turn to their phones, tablets, or computers looking for answers to their health questions. But finding reliable health information online is far harder than it sounds. Between misleading articles shared on WhatsApp, medical jargon-heavy websites, and the simple reality that not everyone has a smartphone or an internet connection, a significant gap exists between available health information and people’s ability to access and use it. This gap is what health information literacy addresses – and understanding the barriers that fuel it is the first step toward closing it.

What is health information literacy? 🔗

Digital health literacy is defined as the ability to seek, find, understand, and appraise health information from electronic sources – and then apply that knowledge to address a health problem. It sits at the intersection of two skill sets: personal health literacy (the ability to find and use health information) and digital literacy (the technical ability to use devices and the internet). When either of these is weak, the whole system breaks down. A person may own a smartphone but still be unable to identify whether the health article they just read is credible. Another person may be highly educated but have no internet access at all. Both face barriers – just different kinds.

The credibility problem: navigating a sea of misinformation 🔗

One of the most pressing barriers in the digital era is the sheer volume of health misinformation circulating online. The World Health Organization coined the term infodemic to describe the flood of information – both accurate and false – that spreads rapidly during health emergencies. This overabundance causes confusion, encourages risky health behaviours, and erodes trust in legitimate health authorities.

The scale of the problem is striking. A WHO systematic review found that the proportion of health misinformation in social media posts reached up to 51% in content related to vaccines, up to 28.8% in COVID-19 posts, and as high as 60% in pandemic-related content. Among YouTube videos about emerging infectious diseases, 20 to 30% contained inaccurate or misleading information. During the COVID-19 pandemic, misinformation directly led people to decline vaccines, reject public health guidance, and seek out unproven treatments.

What makes misinformation particularly difficult to combat is the way it spreads. Research from Boston University shows that social media algorithms amplify content based on engagement rather than accuracy, meaning sensational or fear-inducing health claims often travel farther and faster than evidence-based corrections. Declining trust in institutions, political polarization, and communities’ past experiences with unequal healthcare all create environments where misinformation finds a ready audience. For those already struggling with low health literacy, distinguishing credible sources from unreliable ones becomes even harder.

Evaluating online health information 🔗

Credibility evaluation is a skill that most people are never formally taught. Key indicators of trustworthy health information include checking whether the source is an established institution (such as WHO, NIH, or government health ministries), verifying the author’s professional credentials, confirming the publication date (since medical knowledge evolves), and cross-checking claims against multiple reputable sources. The U.S. Surgeon General’s office has identified building media and health literacy skills as one of the most sustainable long-term strategies to reduce the harm caused by health misinformation, recommending that educational institutions train students and the public to recognise common misinformation tactics.

Barriers in access and usage of health information 🔗

Even when credible health information exists, people face serious practical obstacles in accessing and using it. The U.S. Department of Health and Human Services identifies three major categories of access barriers: lack of reliable broadband internet connectivity, limited literacy and health literacy skills, and challenges with navigating digital tools and interfaces.

The connectivity gap 🔗

Reliable internet access remains unevenly distributed across the world. In many communities, inadequate mobile network coverage, poor broadband infrastructure, and the high cost of data plans mean that getting online is simply not possible. But connectivity alone is not enough. A scoping review published in PLOS Digital Health points out that only half of the world’s population uses the internet and has basic ICT skills, despite most people living within reach of some form of mobile broadband. This gap between physical access and actual use reveals that infrastructure is just one piece of the puzzle. Affordability, device availability, and digital confidence matter equally.

Literacy and cognitive barriers 🔗

According to the U.S. Office of Disease Prevention and Health Promotion, nearly nine in ten adults have limited health literacy skills. Health literacy involves reading and analysing information, decoding instructions and charts, and ultimately making health decisions – a demanding set of abilities even for educated individuals. When health content is written in medical jargon, laid out in dense paragraphs, or assumes prior scientific knowledge, it becomes inaccessible to vast segments of the population. Additionally, as people are exposed to more misinformation online, distinguishing evidence-based information from false content becomes increasingly difficult – a burden that falls disproportionately on those with lower literacy levels.

Beyond reading, people also face challenges in navigating digital interfaces. Core skills like opening an app, entering data into a form, or using a search engine effectively are not universal. A systematic review in the Journal of Medical Internet Research found that in 38% of studies, participants reported that basic digital tasks – such as using SMS or entering health data – were genuinely challenging, sometimes causing them to rely on others for help. Fear of technology as something dangerous or overwhelming was also a reported barrier, particularly among older adults and immigrant communities.

Social determinants as barriers to health information literacy 🔗

Health information literacy does not exist in a vacuum – it is deeply shaped by a person’s social and economic circumstances. Income, education, age, gender, disability status, and geographic location all determine whether someone can meaningfully access and use digital health resources. A framework published in Frontiers in Public Health describes digital health literacy as a “super determinant” of health, because it mediates how effectively people can engage with all other aspects of the healthcare system.

Research in the journal Health & Social Work highlights that low health literacy disproportionately affects people who are historically marginalised – including older adults, people with disabilities, racial and ethnic minorities, and those with lower income and education. These groups are also significantly less likely to access and effectively use hospital patient portals and digital health tools, a pattern researchers call the digital divide. The intersection of poverty, limited education, and restricted internet access creates compounding disadvantages: the people who most need clear health information are often the least equipped to find and evaluate it.

A meta-analysis in Patient Education and Counseling confirms that individuals with higher eHealth literacy are better placed to make informed health decisions and report better health outcomes. Those with low eHealth literacy – particularly the elderly, people with lower socioeconomic status, and those with chronic conditions – struggle to benefit from online health resources even when those resources are technically available to them.

Language and cultural barriers 🔗

Language is a significant and often underestimated barrier. People with limited proficiency in the dominant language of a country face compounded difficulties: not only must they decode medical terminology, they must do so in a non-native language. A review in the journal Laboratory Medicine notes that language barriers limit meaningful participation in digital health systems, increasing the risk of negative health events. Cultural factors also shape how people interpret and trust health information – content that ignores cultural context is less likely to be understood or acted upon. Designing health information in local languages, using plain language principles, and delivering content through multiple formats (audio, video, and text) are all approaches that begin to address this.

Health information literacy challenges in India 🔗

India presents a particularly vivid illustration of what these barriers look like in practice. The country is home to one of the world’s fastest-growing digital economies, yet millions of its citizens – particularly in rural areas – remain on the wrong side of the digital divide.

India Development Review reports that over 70% of India’s population has poor or no connectivity to digital services, and only 31% of rural residents use the internet compared to 67% in urban areas. Only 38% of Indian households are digitally literate. Among the poorest 20% of households, just 2.7% have access to a computer and 8.9% to internet services. The consequences for health information access are direct: when the COVID-19 vaccine distribution relied on the CoWIN app, millions of rural Indians were unable to book slots because they lacked smartphones, internet access, or the digital know-how to navigate the platform. According to Oxfam India’s 2021 health inequality report, while 30 doses were administered per 100 persons in urban India, only 12.7 were administered per 100 in rural areas – a gap significantly shaped by digital exclusion.

The gender dimension of India’s digital divide 🔗

India’s digital health literacy gap is also sharply gendered. A study published in PLOS Digital Health notes that the National Family Health Survey-5 revealed that 46.6% of women in India owned a mobile phone compared to 72.3% of men, and only 24.6% of rural women had used the internet against 48.7% of men. Cultural restrictions, lower formal education levels, and economic dependence all compound this gendered digital exclusion. When women cannot independently access digital health information – about maternal health, nutrition, reproductive health, or disease symptoms – they remain dependent on intermediaries who may themselves have incomplete or inaccurate knowledge.

Older adults and rural populations 🔗

A scoping review in The Permanente Journal specifically examined older adults in rural India and found that only 11% had digital literacy, while health literacy levels across different health domains ranged from just 3% to 27%. Mobile phone ownership stood at around 50%, but smartphone use and internet access for health purposes were minimal. Limited confidence in using digital devices, barriers to foundational literacy, and physical challenges associated with ageing together made adopting digital health tools difficult without social support from family or community health workers.

The role of ICT in bridging the health information gap 🔗

Despite these challenges, information and communication technologies (ICT) also hold real promise as tools to overcome the very barriers they can create. Teleconsultation platforms, mobile health apps, and community-level digital health tools have all demonstrated the ability to extend quality healthcare information to underserved populations – when designed with those populations in mind.

India’s e-Sanjeevani platform, which connects rural patients to doctors via telemedicine, is one such example. The National Digital Health Mission (Ayushman Bharat Digital Mission) aims to create a unified digital health ecosystem. However, as IDR Online reports, the challenge of reaching remote, tribal, and rural communities with adequate digital infrastructure remains significant. Government initiatives like PMGDISHA (Pradhan Mantri Gramin Digital Saksharta Abhiyan) and BharatNet are actively working to expand connectivity and digital literacy training in rural households, though high dropout rates and inconsistent training quality persist as implementation challenges.

The evidence from intervention studies is encouraging. A quasi-experimental study in Jharkhand found that culturally tailored digital literacy training for adolescent girls significantly improved their digital skills, increased access to ICT devices at home, and improved their knowledge of government health schemes – with 90% of girls in the intervention arm reaching above-median digital literacy scores by the end of the programme. The key was that the training was woven into cultural and community contexts rather than delivered as a generic module.

A WHO study on digital health literacy emphasises that this applies to healthcare providers as well as patients. Health workers themselves often face resistance to technology, low digital confidence, and a lack of adequate training. Tailored educational programmes, real-time technical support, and incentives for adoption are all recommended to help healthcare professionals use digital tools confidently – which, in turn, improves the quality of health information they are able to deliver to patients.

Ultimately, equitable access to health information is not just a technological challenge. It is a social justice issue. ICT can serve as a powerful equaliser – but only when it is deployed with attention to language, literacy, culture, gender, age, and economic circumstance. Designing health information platforms that use plain language, offer multilingual content, work on low-bandwidth connections, and engage community networks is not optional – it is essential.

What do you think? As ICT continues to reshape how health information is produced and consumed, who bears the responsibility for ensuring that digital health tools do not deepen existing inequalities – governments, technology companies, healthcare institutions, or communities themselves? And in a country as linguistically and culturally diverse as India, what would truly equitable health information access actually look like in practice?

References

1. https://odphp.health.gov/healthliteracyonline/barriers-accessing-understanding-and-using-digital-health-information
2. https://www.who.int/health-topics/infodemic
3. https://www.who.int/europe/news/item/01-09-2022-infodemics-and-misinformation-negatively-affect-people-s-health-behaviours–new-who-review-finds
4. https://www.bu.edu/articles/2024/health-misinformation-rampant-on-social-media/
5. https://www.hhs.gov/surgeongeneral/reports-and-publications/health-misinformation/index.html
6. https://pmc.ncbi.nlm.nih.gov/articles/PMC10569540/
7. https://odphp.health.gov/healthliteracyonline/barriers-accessing-understanding-and-using-digital-health-information/literacy-and-health-literacy-skills
8. https://pmc.ncbi.nlm.nih.gov/articles/PMC10015358/
9. https://pmc.ncbi.nlm.nih.gov/articles/PMC12176768/
10. https://pmc.ncbi.nlm.nih.gov/articles/PMC8453407/
11. https://www.sciencedirect.com/science/article/pii/S0738399124000636
12. https://pmc.ncbi.nlm.nih.gov/articles/PMC10756206/
13. https://idronline.org/article/inequality/indias-digital-divide-from-bad-to-worse/
14. https://pmc.ncbi.nlm.nih.gov/articles/PMC11984724/
15. https://pmc.ncbi.nlm.nih.gov/articles/PMC11404635/
16. https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000617
17. https://www.who.int/europe/news/item/18-09-2023-digital-health-literacy-key-to-overcoming-barriers-for-health-workers–who-study-says