Assessing Digital Health Literacy As A Determinant Of Self-Management In Chronic Disease Populations

Authors

  • Pravin Prakash P Research Scholar, Department of Nursing, Malwanchal University, Indore, India Author
  • Dr. Surendra Goswami Research Supervisor, Department of Nursing, Malwanchal University, Indore, India Author

Keywords:

Digital health literacy, chronic disease, self-management, eHealth literacy scale, health outcomes

Abstract

Digital health literacy has emerged as a critical determinant of effective self-management in chronic disease populations. This study examines the relationship between digital health literacy levels and self-management outcomes among individuals with chronic conditions, utilizing the eHealth Literacy Scale as the primary assessment tool. A comprehensive literature review was conducted to synthesize evidence from multiple studies examining digital health literacy across various chronic conditions including diabetes mellitus, hypertension, and cardiovascular diseases. The hypothesis posited that higher digital health literacy scores correlate positively with improved self-management behaviors and health outcomes. Findings revealed that patients with elevated digital health literacy demonstrated significantly enhanced self-management capabilities, better treatment adherence, and improved quality of life. The pooled mean eHealth literacy score across chronic disease populations was notably high, with diabetes and hypertension patients showing particularly elevated scores. However, significant disparities exist based on age, education, socioeconomic status, and digital access. The study concludes that digital health literacy serves as a fundamental prerequisite for effective chronic disease self-management in the digital health era, necessitating targeted interventions to address literacy gaps and health inequalities.

Downloads

Published

2024-01-30

Issue

Section

Articles

How to Cite

1.
Assessing Digital Health Literacy As A Determinant Of Self-Management In Chronic Disease Populations. AJB [Internet]. 2024 Jan. 30 [cited 2026 Feb. 15];11(1):1-9. Available from: https://www.ijpp.org/journal/index.php/ajb/article/view/496

Most read articles by the same author(s)