ArticleAsia-Pacific journal of oncology nursing2025
Exploring the eHealth literacy and related influencing factors in patients after lung cancer surgery: A latent profile analysis.
Article in Asia-Pacific journal of oncology nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Psychological-Symptom Mismatch Phenotypes and Their Clinical Implications in Patients with Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease · 2026Article
- eHealth Literacy and Its Associated Factors in Patients with Gestational Diabetes Mellitus: A Cross-Sectional Study.Patient preference and adherence · 2026Article
Corrections and comments
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Authors and funding
5 authors.
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Abstract
Objective: This study aimed to clarify the subtypes of electronic health literacy among patients with lung cancer surgery and explore the factors affecting profile membership. Methods: A cross-sectional study utilizing surveys among patients who underwent lung cancer surgery ( Results: A total of 354 valid questionnaires were collected and categorized into three latent classes based on eHealth literacy levels among post-operative patients with lung cancer: "Low eHealth Literacy," "Moderate eHealth Literacy," and "High eHealth Literacy". Each profile exhibited distinct characteristics representative of the different levels of eHealth literacy among these patients. Factors such as age, educational attainment, occupation type, monthly household income, presence of chronic diseases, daily use of smart devices, frequency of health information searches, variety of eHealth information sources, self-management efficacy, and levels of social support were identified as influencing the eHealth literacy of postoperative patients with lung cancer across these categories. Conclusions: eHealth literacy among postoperative patients with lung cancer exhibits distinct classification characteristics, with over half falling into low or moderate levels. Identifying the sociodemographic factors and influences affecting different patient groups is crucial for developing internet-based continuity of care measures tailored to the specific needs of these patients.
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