Subtopic Deep Dive

← Health Literacy and Information Accessibility

eHealth Literacy and Digital Health Technology Adoption
Research Guide

What is eHealth Literacy and Digital Health Technology Adoption?

eHealth literacy is the ability to seek, find, understand, and appraise digital health information from electronic sources while using technology to attain these skills (Norman, 2011).

This subtopic examines eHealth Literacy Scale (eHEALS) applications and barriers to adopting apps, wearables, telehealth, and patient portals. Studies highlight demographic disparities like age, education, gender, and ethnicity influencing adoption (Tennant et al., 2015; Irizarry et al., 2015). Over 10 papers from 2009-2021, with top-cited works exceeding 700 citations each.

Curated Papers

Key Challenges

Why It Matters

eHealth literacy predicts patient portal engagement, with lower skills linked to older age, minority ethnicity, and limited education, guiding inclusive telehealth design (Irizarry et al., 2015; Gordon and Hornbrook, 2016). Social media and Web 2.0 use for health varies by gender and education, informing interventions to reduce digital divides (Chen and Wang, 2021; Bidmon and Terlutter, 2015). These insights shape policies for equitable digital health access amid rising eHealth expansion (Latulippe et al., 2017).

Key Research Challenges

Digital Divide by Demographics

Age, education, ethnicity, and gender create disparities in eHealth tool access and use, widening health inequalities (Gordon and Hornbrook, 2016; Tennant et al., 2015). Older adults and minorities show lower adoption rates for patient portals and Web 2.0 health seeking (Irizarry et al., 2015). Interventions must target these groups to prevent eHealth from exacerbating social health inequalities (Latulippe et al., 2017).

Measurement of eHealth Skills

eHEALS scale reveals subpar skills among college students and older adults despite high internet comfort (Stellefson et al., 2011; Tennant et al., 2015). Surveys show inconsistent capture of online activities like support groups (Atkinson et al., 2009). Evolving eHealth 2.0 demands updated literacy assessments (Norman, 2011).

Engagement in Interventions

Qualitative factors like trust and training needs hinder recruitment to digital health interventions (O’Connor et al., 2016). Social motives drive women's higher information seeking, requiring tailored designs (Bidmon and Terlutter, 2015). Providers must address personal barriers for sustained adoption (Irizarry et al., 2015).

Essential Papers

Social Media Use for Health Purposes: Systematic Review

Junhan Chen, Yuan Wang · 2021 · Journal of Medical Internet Research · 853 citations

Background Social media has been widely used for health-related purposes, especially during the COVID-19 pandemic. Previous reviews have summarized social media uses for a specific health purpose s...

Patient Portals and Patient Engagement: A State of the Science Review

Taya Irizarry, Annette DeVito Dabbs, Christine R. Curran · 2015 · Journal of Medical Internet Research · 794 citations

Current research has demonstrated that patients' interest and ability to use patient portals is strongly influenced by personal factors such age, ethnicity, education level, health literacy, health...

eHealth Literacy and Web 2.0 Health Information Seeking Behaviors Among Baby Boomers and Older Adults

Bethany Tennant, Michael Stellefson, Virginia J. Dodd et al. · 2015 · Journal of Medical Internet Research · 778 citations

Being younger and possessing more education was associated with greater eHealth literacy among baby boomers and older adults. Females and those highly educated, particularly at the post graduate le...

Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies

Siobhán O’Connor, Peter Hanlon, Catherine O’Donnell et al. · 2016 · BMC Medical Informatics and Decision Making · 697 citations

Using the Internet for Health-Related Activities: Findings From a National Probability Sample

Nancy Atkinson, Sandra L. Saperstein, John R. Pleis · 2009 · Journal of Medical Internet Research · 602 citations

The Internet was most widely used as a health information resource, with less participation in the purchase of medicine and vitamins and in online support groups. Results suggest that modifying sur...

Social Health Inequalities and eHealth: A Literature Review With Qualitative Synthesis of Theoretical and Empirical Studies

Karine Latulippe, Christine Hamel, Dominique Giroux · 2017 · Journal of Medical Internet Research · 461 citations

eHealth has the potential to widen the gulf between those at risk of SHI and the rest of the population. The widespread expansion of eHealth technologies calls for rigorous consideration of interve...

Differences in Access to and Preferences for Using Patient Portals and Other eHealth Technologies Based on Race, Ethnicity, and Age: A Database and Survey Study of Seniors in a Large Health Plan

Nancy P. Gordon, Mark C. Hornbrook · 2016 · Journal of Medical Internet Research · 388 citations

Health plans, government agencies, and other organizations that serve diverse groups of seniors should include social determinants such as race/ethnicity and age when monitoring trends in eHealth t...

Reading Guide

Foundational Papers

Start with Atkinson et al. (2009, 602 citations) for baseline internet health activities; Norman (2011, 302 citations) for eHealth literacy 2.0 concept; Stellefson et al. (2011, 358 citations) for student skills gaps—these establish core measurement and disparities.

Recent Advances

Chen and Wang (2021, 853 citations) on social media during COVID; O’Connor et al. (2016, 697 citations) on engagement barriers; Levin-Zamir and Bertschi (2018, 337 citations) on social environment roles—capture post-2015 shifts.

Core Methods

eHEALS surveys (Tennant et al., 2015); systematic reviews of qualitative recruitment data (O’Connor et al., 2016); national surveys and database analyses for demographics (Gordon and Hornbrook, 2016; Atkinson et al., 2009).

How PapersFlow Helps You Research eHealth Literacy and Digital Health Technology Adoption

Discover & Search

PapersFlow's Research Agent uses searchPapers and exaSearch to find eHEALS applications across demographics, then citationGraph on Tennant et al. (2015) reveals 778-citation network linking to adoption barriers in older adults. findSimilarPapers expands to gender differences from Bidmon and Terlutter (2015).

Analyze & Verify

Analysis Agent applies readPaperContent to extract demographic data from Irizarry et al. (2015), then runPythonAnalysis with pandas to quantify literacy-portals correlations across 794-cited studies. verifyResponse via CoVe chain-of-verification flags contradictions in digital divide claims, with GRADE grading for evidence quality in intervention reviews like O’Connor et al. (2016).

Synthesize & Write

Synthesis Agent detects gaps in training for low-literacy groups from Latulippe et al. (2017), flagging contradictions with high student connectivity in Stellefson et al. (2011); Writing Agent uses latexEditText, latexSyncCitations for Irizarry et al. (2015), and latexCompile for reports, plus exportMermaid for demographic divide flowcharts.

Use Cases

"Analyze eHEALS scores vs patient portal use by age and education from top papers"

Research Agent → searchPapers(eHEALS portals) → Analysis Agent → readPaperContent(Irizarry 2015) → runPythonAnalysis(pandas correlation plot) → researcher gets CSV of regression stats and matplotlib age-literacy graph.

"Draft LaTeX review on gender differences in eHealth seeking with citations"

Synthesis Agent → gap detection(Bidmon 2015 gaps) → Writing Agent → latexEditText(intro) → latexSyncCitations(Chen 2021, Bidmon 2015) → latexCompile → researcher gets PDF with synced bibtex and figures.

"Find github repos analyzing digital health adoption datasets"

Research Agent → searchPapers(adoption datasets) → Code Discovery → paperExtractUrls(Gordon 2016) → paperFindGithubRepo → githubRepoInspect → researcher gets repo code, data scripts for demographic divide replication.

Automated Workflows

Deep Research workflow conducts systematic review of 50+ eHealth literacy papers via searchPapers → citationGraph → DeepScan 7-steps with CoVe checkpoints, yielding structured report on adoption barriers (Tennant et al., 2015). Theorizer generates theories on digital divides from qualitative syntheses like O’Connor et al. (2016), chaining gap detection → hypothesis export. DeepScan verifies intervention engagement claims across Chen and Wang (2021) with GRADE and statistical runs.

Try Doxa for eHealth Literacy and Digital Health Technology Adoption Research

Frequently Asked Questions

What defines eHealth literacy?

eHealth literacy combines skills to seek, understand, appraise digital health info, and apply technology effectively (Norman, 2011). eHEALS scale measures these abilities across populations.

What methods assess eHealth adoption?

Surveys like national probability samples track internet health activities (Atkinson et al., 2009). Systematic reviews synthesize qualitative barriers to portals and interventions (Irizarry et al., 2015; O’Connor et al., 2016).

What are key papers?

Tennant et al. (2015, 778 citations) links eHealth literacy to Web 2.0 in older adults. Irizarry et al. (2015, 794 citations) reviews patient portals and literacy factors. Chen and Wang (2021, 853 citations) covers social media health uses.

What open problems exist?

Reducing inequalities from eHealth expansion without exacerbating divides (Latulippe et al., 2017). Improving literacy education for students and seniors (Stellefson et al., 2011). Tailoring interventions by demographics (Gordon and Hornbrook, 2016).