{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T05:08:54Z","timestamp":1780376934071,"version":"3.54.1"},"reference-count":27,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T00:00:00Z","timestamp":1780358400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Heart failure (HF) management imposes a substantial multidimensional treatment burden (BoT) on older adults. While digital health interventions offer potential solutions, their success heavily depends on patients' eHealth literacy (eHL). Previous variable-centered research evaluating total scale scores has systematically masked the individual heterogeneity and dimensional interplay between eHL and BoT.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To identify the multidimensional latent profiles of eHealth literacy and treatment burden among older adults with chronic HF, and to explore the independent sociodemographic and clinical predictors of these profiles.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A cross-sectional study was conducted involving 425 older adults with HF in China. Data were collected using demographic\/clinical abstraction forms, the Chinese eHealth Literacy Scale (C-eHEALS), and the Patient Experience with Treatment and Self-Management (PETS). Latent profile analysis (LPA) was executed using 14 specific continuous dimensional indicators from these scales. Multinomial logistic regression was utilized to identify factors influencing profile membership.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Three distinct latent profiles were identified. As visually supported by the standardized Z-score patterns, the \u201cVulnerable\u201d profile (28.9%) exhibited a starkly inverse clinical state characterized by profound deficits across all eHL dimensions and overwhelmingly high systemic BoT. The \u201cCapable\u201d profile (22.1%) demonstrated the opposite, optimal pattern (high eHL, minimal BoT). The \u201cTransitional\u201d profile (48.9%) displayed intermediate scores but high dimensional discordance (e.g., adequate information acquisition but poor evaluation, paired with high diet\/exercise burdens). Multinomial logistic regression revealed that older age, primary-level education, living alone, and a higher Charlson Comorbidity Index were significant independent predictors of membership in the Vulnerable profile.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Older adults with HF do not experience digital health demands and self-care workloads uniformly. Identifying these highly distinct, dimension-specific typologies highlights the potential value of moving away from \u201cone-size-fits-all\u201d digital deployments toward precision-based, stratified care models designed to mitigate specific vulnerabilities.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2026.1822855","type":"journal-article","created":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T04:28:40Z","timestamp":1780374520000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Heterogeneity of eHealth literacy and treatment burden in older adults with heart failure: a multidimensional latent profile analysis"],"prefix":"10.3389","volume":"14","author":[{"given":"Xiaoxia","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Cardiology, Tongde Hospital of Zhejiang Province Affiliated to Zhejiang Chinese Medical University (College of Integrated Traditional Chinese and Western Medicine Clinical Medicine)","place":["Hangzhou, Zhejiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuejun","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Geriatrics, Jinhua Road Campus, The Affiliated Hospital of Hangzhou Normal University (Zhejiang Geriatric Care Hospital)","place":["Hangzhou, Zhejiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deyan","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Tongde Hospital of Zhejiang Province Affiliated to Zhejiang Chinese Medical University (College of Integrated Traditional Chinese and Western Medicine Clinical Medicine)","place":["Hangzhou, Zhejiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xialing","family":"Dai","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Tongde Hospital of Zhejiang Province Affiliated to Zhejiang Chinese Medical 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