46 research outputs found

    Diabetes on Twitter: A Sentiment Analysis

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    Preferences and interests of diabetes social media users regarding a health-promotion intervention

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    Elia Gabarron,1 Enrique Dorronzoro,2 Meghan Bradway,1,3 Octavio Rivera-Romero,2 Rolf Wynn,3,4 Eirik Årsand1,3 1Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway; 2Department of Electronic Technology, Universidad de Sevilla, Seville, Spain; 3Department of Clinical Medicine, Faculty of Health Sciences, UiT – Arctic University of Norway, Tromsø, Norway; 4Division of Mental Health and Addictions, University Hospital of North Norway, Tromsø, Norway Background: Nowadays, rapid and accessible participatory research on diabetes can be carried out using social media platforms. The objective of this study was to identify preferences and interests of diabetic social media users regarding a health-promotion intervention targeting them. Methods: Social media followers of the Norwegian Diabetes Association were invited to participate in the creation of a health-promotion intervention on diabetes by expressing their opinions through an online questionnaire posted on Facebook, Twitter, and Instagram. The questionnaire asked participants about their demographics and preferences regarding type of health content: format, frequency, and channels to deliver content. Questions regarding the perceived quality of diabetes-related information and satisfaction with content on social media were also included. Results: The questionnaire was answered by 346 participants: 332 (96%) of those were reached via Facebook, 66.5% of respondents (n=230) identified themselves as women, 54% (n=187) as individuals diagnosed with type 1 diabetes, and 71% (n=235) were aged 30–64 years. The preferred type of content was “research and innovation on diabetes”, selected by 78.0% of the respondents. “Text format” was the choice for 93.4%, and 97.3% would prefer to find health-promotion content on Facebook. There was heterogeneity in the desired frequency of this content. In a scale ranging from 0 to 100, the perceived quality of diabetes-related information on social media was 62.0±1.2 and satisfaction with such content 61.9±1.3. Conclusion: The approach used in this study was successful in reaching and involving participants quickly, and could also potentially increase diabetes patients’ engagement and satisfaction with health-promotion interventions, enhance their sense of community, and thus help people attain healthier lifestyles. It is a limitation that our sample might not have been fully representative, as the most interested social media users might have chosen to participate. Keywords: community-based participatory research, diabetes, health promotion, health education, social medi

    An Introduction to participatory health through social media

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    Social media provides online platforms for interactions around various health topics relating to patient education, health promotion, public relations, and crisis communication. An important aspect of social media for health communication is to provide valuable peer, social, and emotional support for the general public and patients. Patients can share their experiences through discussion forums, chat rooms and instant messaging, or online consultation with a qualified clinician. There are a variety of benefits and limitations in using social media in healthcare. A perceived benefit is the accessibility and improved access to health information to various population groups, regardless of age, education, race/ethnicity, and locality compared to traditional communication methods. While these changing patterns may lessen health disparities, traditional inequalities and overall Internet access remain. The primary limitations for social media are quality concerns and the lack of reliability of the health information. The large volume of information available through social media and the possibility for inaccuracies posted by users present challenges when validating health-related information. Social media brings a new dimension to health care, offering a platform used by the public, patients, and health professionals to communicate about health issues with the possibility of potentially improving health outcomes. Although there are benefits of using social media for health communication, the information needs to be monitored for quality and reliability, and the confidentiality and privacy need to be maintained. This book explains how social media methodologies and platforms are used in healthcare.9 page(s

    Designing Depression Screening Chatbots

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    Advances in voice recognition, natural language processing, and artificial intelligence have led to the increasing availability and use of conversational agents (chatbots) in different settings. Chatbots are systems that mimic human dialogue interaction through text or voice. This paper describes a series of design considerations for integrating chatbots interfaces with health services. The present paper is part of ongoing work that explores the overall implementation of chatbots in the healthcare context. The findings have been created using a research through design process, combining (1) literature survey of existing body of knowledge on designing chatbots, (2) analysis on state-of-the-practice in using chatbots as service interfaces, and (3) generative process of designing a chatbot interface for depression screening. In this paper we describe considerations that would be useful for the design of a chatbot for a healthcare context.Applied Ergonomics and Desig

    Evidence check: mHealth technologies for chronic disease prevention and management

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    This Evidence Check review examines the evidence regarding the benefits, uptake and operationalisation of mHealth technologies (including short messaging services (SMS), mobile apps and wearable devices) for chronic disease management and prevention. The review found mHealth interventions can promote significant improvements in glycaemic control (for diabetes patients), as well as in physical activity, weight loss and smoking cessation, with the strongest evidence for SMS. Benefits appeared to be mediated by the characteristics of both the intervention and the patient population. Integrating mHealth technologies into healthcare as part of a service rather than a standalone system was as an important marker of success
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