Isfahan University of Medical Sciences Health Information Management 1735-7853 16 5 2019 12 22 Content Analysis of Social Networks in Health Organizations Content Analysis of Social Networks in Health Organizations 243 252 11710 10.22122/him.v16i5.3972 FA Behzad Enjezab PhD Student, Business Management, Department of Business Management, School of Human Sciences, Yazd Branch, Islamic Azad University, Yazd, Iran 0000-0002-1539-8176 Shahnaz Nayebzadeh Associate Professor, Business Management, Department of Business Management, School of Human Sciences, Yazd Branch, Islamic Azad University, Yazd, Iran 0000-0003-1063-0631 Sayyed Hassan Hataminasab Assistant Professor, Business Management, Department of Business Management, School of Human Sciences, Yazd Branch, Islamic Azad University, Yazd, Iran 0000-0002-3921-9857 Journal Article 2019 09 30 Introduction: The dramatic growth of Web 2 technologies and the emergence of social networks fosters great potential for the dissemination of health behavior change programs and healthcare. Organizations and providers of health services, as major contributors to these programs, have a large share of these tools. This study aimed to provide a classification for the content that health organizations publish on social networks.Methods: This study was conducted through qualitative content analysis method. To this end, in the first step based on the literature, the study of the previous frameworks and the results of the researchers work in this field, initial coding was done; and in the next step, by analyzing a sample of 582 posts published on social networks by 11 leading health organizations in the world, categorization and coding were completed.Results: Data analysis revealed in the extraction of 27 subcategories that consisted of 14 main categories including informational, educational, emotional, event, inviting, experiential, functional, alerting, employee, challenging, introductory, advertising, expressive, and celebrities for health organization content.Conclusion: The findings of the present study provide a comprehensive framework for the classification of health posts. This classification can be used by health policymakers to generate health-related content with new ideas as well as daily use to interact with social media audiences. Introduction: The dramatic growth of Web 2 technologies and the emergence of social networks fosters great potential for the dissemination of health behavior change programs and healthcare. Organizations and providers of health services, as major contributors to these programs, have a large share of these tools. This study aimed to provide a classification for the content that health organizations publish on social networks.Methods: This study was conducted through qualitative content analysis method. To this end, in the first step based on the literature, the study of the previous frameworks and the results of the researchers work in this field, initial coding was done; and in the next step, by analyzing a sample of 582 posts published on social networks by 11 leading health organizations in the world, categorization and coding were completed.Results: Data analysis revealed in the extraction of 27 subcategories that consisted of 14 main categories including informational, educational, emotional, event, inviting, experiential, functional, alerting, employee, challenging, introductory, advertising, expressive, and celebrities for health organization content.Conclusion: The findings of the present study provide a comprehensive framework for the classification of health posts. This classification can be used by health policymakers to generate health-related content with new ideas as well as daily use to interact with social media audiences. https://him.mui.ac.ir/article_11710_227bd2473d68947040e511b7f29ce553.pdf