scholarly journals Health-Related Disaster Communication and Social Media: Mixed-Method Systematic Review

2017 ◽  
Vol 33 (12) ◽  
pp. 1389-1400 ◽  
Author(s):  
Stine Eckert ◽  
Pradeep Sopory ◽  
Ashleigh Day ◽  
Lee Wilkins ◽  
Donyale Padgett ◽  
...  
2021 ◽  
Vol 9 ◽  
Author(s):  
Javier Alvarez-Galvez ◽  
Victor Suarez-Lledo ◽  
Antonio Rojas-Garcia

Background: The widespread use of social media represents an unprecedented opportunity for health promotion. We have more information and evidence-based health related knowledge, for instance about healthy habits or possible risk behaviors. However, these tools also carry some disadvantages since they also open the door to new social and health risks, in particular during health emergencies. This systematic review aims to study the determinants of infodemics during disease outbreaks, drawing on both quantitative and qualitative methods.Methods: We searched research articles in PubMed, Scopus, Medline, Embase, CINAHL, Sociological abstracts, Cochrane Library, and Web of Science. Additional research works were included by searching bibliographies of electronically retrieved review articles.Results: Finally, 42 studies were included in the review. Five determinants of infodemics were identified: (1) information sources; (2) online communities' structure and consensus; (3) communication channels (i.e., mass media, social media, forums, and websites); (4) messages content (i.e., quality of information, sensationalism, etc.,); and (5) context (e.g., social consensus, health emergencies, public opinion, etc.). Studied selected in this systematic review identified different measures to combat misinformation during outbreaks.Conclusion: The clarity of the health promotion messages has been proven essential to prevent the spread of a particular disease and to avoid potential risks, but it is also fundamental to understand the network structure of social media platforms and the emergency context where misinformation might dynamically evolve. Therefore, in order to prevent future infodemics, special attention will need to be paid both to increase the visibility of evidence-based knowledge generated by health organizations and academia, and to detect the possible sources of mis/disinformation.


2020 ◽  
Author(s):  
Lisa Teichmann ◽  
Sean Nossek ◽  
Aengus Bridgman ◽  
Peter John Loewen ◽  
Taylor Owen ◽  
...  

Social media provides governments the opportunity to directly communicate with their constituents. During a pandemic, reaching as many citizens as possible with health messaging is critical to reducing the spread of the disease. This study evaluates efforts to spread healthcare information by Canadian local, provincial, and federal governments during the first five months of the COVID-19 pandemic. We collect all health-related communications coming from government accounts on Facebook and Twitter and analyze the data using a nested mixed method approach. We first identify quantifiable features linked with citizen engagement, before subsequently performing content analysis on outlier posts. We make two critical contributions to existing knowledge about government communication, particularly during public health crises. We identify cross-platform variations in strategy effectiveness and draw attention to specific, evidence-based practices that can increase engagement with government health information.


2016 ◽  
Vol 27 ◽  
pp. 1-11 ◽  
Author(s):  
Carly Reagon ◽  
Nichola Gale ◽  
Stephanie Enright ◽  
Mala Mann ◽  
Robert van Deursen

Jurnal NERS ◽  
2020 ◽  
Vol 14 (3) ◽  
pp. 213
Author(s):  
Apriana Rahmawati ◽  
Dona Muji Fitriana ◽  
Risna Nur Pradany

Introduction: Social media use has been rapidly increasing over the past few years. Research and practice have mostly focused on the positive impacts of social media, intending to understand and support the various opportunities afforded by this particular technology era. However, it is increasingly observable that social media also involves enormous risks for individuals, communities, firms and even for society as a whole. This systematic review aimed to establish the negative impacts on mental health related to the excessive use of social media.Methods: As many as 15 articles were generated from Scopus, ScienceDirect and Ebscohost. The reviewers independently screened the titles and abstracts in addition to assessing the studies. The study design varied in rigorousness over the quantitative as well as qualitative studies.Results: The result for this study are that having an average daily screen time (more than 2 hours a day) is positively associated with social media addiction. Avoidant attachment was associated with more problematic social media use.Conclusion: Avoidant attachment was associated with more problematic social media use. Thus, an abstinence of several days from social media consumption can caused a reduction in perceived stress.


Author(s):  
Phillippa Carnemolla ◽  
Catherine Bridge

The multi-dimensional relationship between housing and population health is now well recognised internationally, across both developing and developed nations. This paper examines a dimension within the housing and health relationship – accessibility – that to date has been considered difficult to measure. This paper reports on the mixed method results of larger mixed-method, exploratory study designed to measure the impact of home modifications on Health-Related Quality of Life, supported by qualitative data of recipients’ experiences of home modifications. Data was gathered from 157 Australian HACC clients, who had received home modifications. Measurements were taken for both before and after home modifications and reveal that home modifications were associated with an average 40% increase in Health-Related Quality of Life levels. The qualitative results revealed that participants positively associated home modifications across six effect themes: increased safety and confidence, improved mobility at home, increased independence, supported care-giving role, increased social participation, and ability to return home from hospital. This exploratory research gives an insight into the potential for accessible architecture to impact improvements in community health and wellbeing.


2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Meagan Marie Daoust

The healthcare trend of parental refusal or delay of childhood vaccinations will be investigated through a complex Cynefin Framework component in an economic and educational context, allowing patterns to emerge that suggest recommendations of change for the RN role and healthcare system. As a major contributing factor adding complexity to this trend, social media is heavily used for health related knowledge, making it is difficult to determine which information is most trustworthy. Missed opportunities for immunization can result, leading to economic and health consequences for the healthcare system and population. Through analysis of the powerful impact social media has on this evolving trend and public health, an upstream recommendation for RNs to respond with is to utilize reliable social media to the parents’ advantage within practice. The healthcare system should focus on incorporating vaccine-related education into existing programs and classes offered to parents, and implementing new vaccine classes for the public.


2018 ◽  
Author(s):  
Albert Moreira ◽  
Raul Alonso-Calvo ◽  
Alberto Muñoz ◽  
Jose Crespo

BACKGROUND Internet and Social media is an enormous source of information. Health Social Networks and online collaborative environments enable users to create shared content that afterwards can be discussed. While social media discussions for health related matters constitute a potential source of knowledge, characterizing the relevance of participations from different users is a challenging task. OBJECTIVE The aim of this paper is to present a methodology designed for quantifying relevant information provided by different participants in clinical online discussions. METHODS A set of key indicators for different aspects of clinical conversations and specific clinical contributions within a discussion have been defined. These indicators make use of biomedical knowledge extraction based on standard terminologies and ontologies. These indicators allow measuring the relevance of information of each participant of the clinical conversation. RESULTS Proposed indicators have been applied to two discussions extracted from PatientsLikeMe, as well as to two real clinical cases from the Sanar collaborative discussion system. Results obtained from indicators in the tested cases have been compared with clinical expert opinions to check indicators validity. CONCLUSIONS The methodology has been successfully used for describing participant interactions in real clinical cases belonging to a collaborative clinical case discussion tool and from a conversation from a Health Social Network.


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