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Motivations for Participation in an Online Social Media Community for Diabetes.

ABSTRACT: BACKGROUND:Our objectives were to describe individuals' motivations for participation in an online social media community and to assess their level of trust in medical information provided by medical professionals and community members. METHODS:A purposive survey was delivered to participants recruited through posts on the CGM in the Cloud group, Twitter, and blogs. Individuals were asked a series of demographic and social media use questions. RESULTS:A total of 1268 members of the CGM in the Cloud community responded to the survey. The majority were non-Hispanic White (92.1%) and caregivers of an individual with diabetes (80.9%). Mean age was 41 years old, and 74.8% were female. Primary goals of the Facebook group were to learn more about Nightscout technology and to receive technological assistance. Individuals provided assistance to the community through spreading awareness, technical assistance, support, and donation. Respondents put a high level of trust in their peers versus health professionals in many health situations with nearly 40% of individuals reported to be helped by following advice found in the Facebook group, and 99% reported no harm. CONCLUSIONS:Our findings suggest that patients with diabetes and their caregivers use social media for many health-related purposes including medical recommendations and technical support for medical devices and systems as well as emotional support.

SUBMITTER: White K

PROVIDER: S-EPMC6154236 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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Motivations for Participation in an Online Social Media Community for Diabetes.

White Katherine K Gebremariam Achamyeleh A Lewis Dana D Nordgren Weston W Wedding James J Pasek Josh J Garrity Ashley A Hirschfeld Emily E Lee Joyce M JM

Journal of diabetes science and technology 20180109 3

<h4>Background</h4>Our objectives were to describe individuals' motivations for participation in an online social media community and to assess their level of trust in medical information provided by medical professionals and community members.<h4>Methods</h4>A purposive survey was delivered to participants recruited through posts on the CGM in the Cloud group, Twitter, and blogs. Individuals were asked a series of demographic and social media use questions.<h4>Results</h4>A total of 1268 member ...[more]

PMID: 29310448

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Project description:ObjectiveTo examine current vaccine sentiment on social media by constructing and analyzing semantic networks of vaccine information from highly shared websites of Twitter users in the United States; and to assist public health communication of vaccines.BackgroundVaccine hesitancy continues to contribute to suboptimal vaccination coverage in the United States, posing significant risk of disease outbreaks, yet remains poorly understood.MethodsWe constructed semantic networks of vaccine information from internet articles shared by Twitter users in the United States. We analyzed resulting network topology, compared semantic differences, and identified the most salient concepts within networks expressing positive, negative, and neutral vaccine sentiment.ResultsThe semantic network of positive vaccine sentiment demonstrated greater cohesiveness in discourse compared to the larger, less-connected network of negative vaccine sentiment. The positive sentiment network centered around parents and focused on communicating health risks and benefits, highlighting medical concepts such as measles, autism, HPV vaccine, vaccine-autism link, meningococcal disease, and MMR vaccine. In contrast, the negative network centered around children and focused on organizational bodies such as CDC, vaccine industry, doctors, mainstream media, pharmaceutical companies, and United States. The prevalence of negative vaccine sentiment was demonstrated through diverse messaging, framed around skepticism and distrust of government organizations that communicate scientific evidence supporting positive vaccine benefits.ConclusionSemantic network analysis of vaccine sentiment in online social media can enhance understanding of the scope and variability of current attitudes and beliefs toward vaccines. Our study synthesizes quantitative and qualitative evidence from an interdisciplinary approach to better understand complex drivers of vaccine hesitancy for public health communication, to improve vaccine confidence and vaccination coverage in the United States.

Dataset Information

Motivations for Participation in an Online Social Media Community for Diabetes.

Publications

Motivations for Participation in an Online Social Media Community for Diabetes.

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