Digital health; chronic disease; online health communities; information-seeking behavior; patient decision-making; eHealth literacy; participatory medicine; mixed-methods research.
AuthorsAbstract:Background:With the expanding reach of digital health platforms, patients with chronic diseases increasingly turn to online communities to obtain, interpret, and apply health information. Yet the mechanisms through which these digital interactions influence health decisions and self-management remain insufficiently understood. Clarifying these behaviors is vital for developing evidence-based digital health strategies that enhance patient empowerment and care outcomes. Objective:This study explores how individuals with chronic illnesses engage in online information-seeking, assess the trustworthiness of digital sources, and integrate collective knowledge from online peers into personal health decisions. Methods:A mixed-methods design combined quantitative survey data (n = 752) with qualitative interviews (n = 30). The survey measured eHealth literacy, patterns of community participation, perceived credibility of information, and reported behavioral changes. Interview data were thematically analyzed to uncover motivations, emotional dynamics, and cognitive strategies guiding digital information use and decision-making. Statistical models examined relationships between online engagement, information evaluation, and self-management confidence. Results:Participants exhibited strong reliance on online networks for experiential knowledge and social validation. Greater perceived credibility and peer trust were linked with heightened confidence in self-care decisions. Three engagement typologies were identified—affirmation seeking, collaborative interpretation, and participatory experimentation—each reflecting distinct approaches to decision-making. Variations in critical appraisal and source triangulation emerged by age, education level, and disease type. Conclusion:Online health communities serve as influential ecosystems for information exchange, emotional support, and autonomous decision-making among people living with chronic conditions. Integrating patient-derived insights from these spaces into clinical communication and digital health policy could advance more responsive, participatory models of chronic disease management.
IntroductionChronic diseases such as diabetes, cardiovascular disorders, respiratory illnesses, and cancer now account for over 70% of global mortality each year, representing a profound and persistent challenge for health systems and societies worldwide (World Health Organization, 2023). Increasing life expectancy, urbanization, and changing behavioral risk profiles have •••••••••••••••••••••••••••••••• ejprd.org- Published by Riset Publishing Services LLC.
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