Use of social media for e-Government in the public health sector: A systematic review of published studies

Use of equity-informed social media COVID-19 risk communication tools: a scoping review protocol

INTRODUCTION

Health agencies and community organisations play a crucial role in disseminating information to the public about COVID-19 risks and events, providing instructions on how to change behaviour to mitigate those risks, motivating compliance with health directives and addressing false information. Social media platforms are a critical tool in risk communication, providing a medium for rapid transmission of messages as well as providing the opportunity for engagement and immediate feedback. Access to health information, services and support are especially important for marginalised and underserved ('equity-deserving') populations who are disproportionately affected by COVID-19. This scoping review aims to review the breadth and depth of the academic and grey literature on equity-informed social media risk communication tools to provide guidance on promising practices and principles for reaching equity-deserving populations through social media.

METHODS AND ANALYSIS

Arksey and O'Malley's (2005) framework guided the identification of the research question; identification and selection of relevant studies from electronic databases and hand-searches of discipline-specific journals; extraction and charting of the data; and collating and reporting of findings. The results of the screening process will be reported using the Preferred Reporting Items for Systematic Review and Meta-Analysis-Scoping Review guidelines.

FINDINGS

We will identify reported facilitators and barriers to the development of risk communications that target equity-deserving communities. We will also identify recommendations for equity-informed risk communication for COVID-19.

ETHICS AND DISSEMINATION

This study does not require ethics approval. We intend to disseminate the results through publication in an open-access peer-reviewed journal, conference presentations, lay summaries (eg, checklists) for health organisations and messages to be shared through social media.

Public health perinatal promotion during COVID-19 pandemic: a social media analysis

Background

Canadian public health agencies, both municipal/regional and provincial/territorial, are responsible for promoting population health during pregnancy and the early postnatal period. This study examines how these agencies use web-based and Facebook channels to communicate perinatal health promotion during the emergence of the COVID-19 pandemic.

Methods

Perinatal health promotion content of websites and Facebook posts from a multijurisdictional and geographically diverse sample of government and non-governmental organizations (NGO) were evaluated using thematic content analysis in 2020.

Results

Major Facebook perinatal health promotion themes included breastfeeding, infant care, labor/delivery, parenting support and healthy pregnancy. Facebook COVID-19-themed perinatal health promotion peaked in the second quarter of 2020. Websites emphasized COVID-19 transmission routes, disease severity and need for infection control during pregnancy/infant care, whereas Facebook posts focussed on changes to local health services including visitor restrictions. NGO perinatal health promotion reflected organizations’ individual mandates.

Conclusions

Canadian government use of Facebook to disseminate perinatal health promotion during the COVID-19 pandemic varied in terms of breadth of topics and frequency of posts. There were missed opportunities to nuance transmission/severity risks during pregnancy, thereby proactively countering the spread of misinformation.

Challenges in Government Inter-Organizational Information Integration in the Context of Measles Rubella Vaccination in India

Most of the countries are heading to Government 3.0 with the advent of Information Communication Technology (ICT). Information Integration has to be done with the support of different stakeholders for an effective e-Governance ecosystem. The use of Artificial Intelligence (AI) and high-end processors had solved the issues to some extent. But the socio-political intervention is making the Government Inter-Organizational Information Integration (GIII) difficult when information turns into misinformation. Misinformation in social network sites (SNS) is increasing alarmingly and is also affecting the healthcare sector. The study is focused on the trends in decreasing vaccination rates in India during the vaccination drive. Twitter data, news reports, and social media posts during the MR vaccination program in India are taken into consideration for the analysis. The vaccine hesitancy is also associated with political, religious, Psychological, and Economic factors. Government 3.0 has got its power to overcome the misinformation in the healthcare programs.

Face masks on Instagram: an analysis of public health authorities' guidance toward prevention

Instagram (IG) has been used as a health promotion tool by national and international sanitary authorities to tackle COVID-19. The profile of the World Health Organization (WHO) on IG contributed to spread and update information on the new coronavirus prevention This study focus attention on a non-pharmaceutical control measure (face mask in the community) and discusses the adaptation of health authorities from Portugal and Brazil to WHO guidelines on this topic, and how they passed them to citizens. A content analysis of posts from WHO, Portuguese National Health Service (NHS), and the Brazilian Ministry of Health (MH) profiles on IG was carried out, in the first 100 days of the pandemic. The sample is composed of 65 posts - WHO (12), NHS (36) and, MH (17). NHS highlights masks in 8,8% of posts and MH in 3,3%. WHO guidelines followed scientific evidence and prioritized the surgical masks, while NHS and MH adapted the guidelines to regional scenarios (community transmission and difficulty to social distancing) and produced information on non-surgical masks. NHS recommends the use of certified non-surgical masks. MH diverged from WHO guidelines and advised cloth masks. NHS has adopted the preventive approach and the use of celebrities to stress the importance of following its guidelines. MH adopted an institutional approach to encourage adherence to the instructions. Both profiles offered incomplete content on the production, use, disposal, and maintenance of masks.

'Falsehood flies, and the truth comes limping after it': social media and public health

PURPOSE OF REVIEW

To highlight the various uses of social media by public health practitioners and organizations, with special emphasis on how social media has been successfully applied and where applications have struggled to achieve the desired effects.

RECENT FINDINGS

Social media has been used effectively in improving the timeliness and accuracy of public health surveillance. Social media has also been used to communicate information between public health organizations and reinforce consistent messaging about enduring threats to public health. It has been applied with some success to coordinate of disaster response and for keeping the public informed during other emergency situations. However, social media has also been weaponized against the public health community to spread disinformation and misinformation, and the public health community has yet to devise a successful strategy to mitigate this destructive use of social media.

SUMMARY

Social media can be an effective tool for public health practitioners and organizations who seek to disseminate information on a daily basis, rapidly convey information in emergent situations, and battle misinformation. Social media has been uniquely valuable and distinctly destructive when it comes to protecting and improving public health.

The risks and benefits of using social media to engage consumers in service design and quality improvement in Australian public hospitals: findings from an interview study of key stakeholders

BACKGROUND

Engaging consumers - patients, families, carers and community members who are current or potential service users - in the planning, design, delivery, and improvement of health services is a requirement of public hospital accreditation in Australia. There is evidence of social media being used for consumer engagement in hospitals internationally, but in Australia this use is uncommon and stakeholders' experiences have not been investigated. The aim of the study was to explore the experiences and beliefs of key Australian public hospital stakeholders around using social media as a consumer engagement tool. This article focuses on the study findings relating to methods, risks, and benefits of social media use.

METHODS

Semi-structured interviews were conducted with Australian public hospital stakeholders in consumer representative, consumer engagement/patient experience, communications or quality improvement roles. Qualitative data were analysed using a deductive content analysis method. An advisory committee of consumer and service provider stakeholders provided input into the design and conduct of this study.

RESULTS

Twenty-six Australian public hospital service providers and consumers were interviewed. Participants described social media being used to: recruit consumers for service design and quality improvement activities; as an online space to conduct consultations or co-design; and, to gather feedback and patient experience data. The risks and benefits discussed by interview participants were grouped into five themes: 1) overcoming barriers to engagement, 2) consumer-initiated engagement; 3) breadth vs depth of engagement, 4) organisational transparency vs control and 5) users causing harm.

CONCLUSIONS

Social media can be used to facilitate consumer engagement in hospital service design and quality improvement. However, social media alone is unlikely to solve broader issues commonly experienced within health consumer engagement activities, such as tokenistic engagement methods, and lack of clear processes for integrating consumer and patient feedback into quality improvement activities.

Influencing Factors on Health Information to Improve Public Health Literacy in the Official WeChat Account of Guangzhou CDC

Background: Social media is used as a new channel for health information. In China, the official WeChat account is becoming the most popular platform for health information dissemination, which has created a good opportunity for the Centers for Disease Control and Prevention to facilitate health information online to improve emergency public health literacy. Methods: Data were collected from the Guangzhou CDC i-Health official WeChat account between April 1, 2018 and April 30, 2019. Descriptive analysis was performed for basic information about the followers and posts of the official WeChat account. Multiple logistic regression analysis was used to analyze the association among various factors of posts on engagement of followers of the official WeChat account. Results: Among 187,033 followers, the total numbers of post views, shares, likes, add to favorites, and comments for 213 posts were 1,147,308, 8,4671, and 5,535, respectively. Engagement of followers peaked on the dissemination date and gradually declined. The main post topics were health education posts and original posts. In the multiple logistic regression model, the number of post views was found to be significantly associated with infectious disease posts (AOR: 3.20, 95% CI: 1.16-8.81), original posts (AOR: 10.20, 95% CI: 1.17-89.28), and posts with title-reflected content (AOR: 2.93, 95% CI: 1.16-8.81). Conclusion: Our findings facilitate the government to formulate better strategies and improve the effectiveness of public information dissemination.

Predictors of COVID-19 Preventive Behavior Adoption Intention in Malaysia

Preventive behavior adoption is the key to reduce the possibility of getting COVID-19 infection. This paper aims to examine the determinants of intention to adopt preventive behavior by incorporating perception of e-government information and services and perception of social media into the theory of reasoned action. A cross-sectional online survey was carried out among Malaysian residents. Four hundred four valid responses were obtained and used for data analysis. A partial least-square-based path analysis revealed direct effects of attitude and subjective norm in predicting intention to adopt preventive behavior. In addition, perception of e-government information and services and perception of social media were found to be significant predictors of attitude toward preventive behavior. The findings highlight the importance of digital platforms in improving people’s attitudes toward preventive behavior and in turn contain the spread of the infectious disease.

Use of social media in food safety in Saudi Arabia-a preliminary study

Over the past two decades, the rapid rise of social media has revolutionized the way we communicate and share information online. Social media platforms are not now only used extensively by individuals but also by businesses, governmental agencies, educational institutions, and many other organizations to deliver information to the public and, in return, collect information from that same audience. The preliminary study presented here offers valuable insights into how social media may be used to improve food safety standards. Today, food safety is still a major health challenge in the country, which occasionally faces unsafe food supply chains, an increased number of food borne outbreaks, and poor hygiene education. Social media may be used as a very valuable tool for people to access important information and more knowledge about food safety. The limited-scope survey presented here was conducted over the western part of Saudi Arabia and included 295 individuals of both genders, among various age groups. Participants responded to an online questionnaire about their use of social media to obtain information about food safety. Results showed that social media was indeed a major outlet for individuals to access information on food safety, with the top-ranked social media platforms being WhatsApp (M = 2.99) followed by Snapchat (M = 3.72), YouTube (M = 4.08), Instagram (M = 4.46), and Facebook (M = 4.81). Additionally, we found that the most trusted sources of information was the Saudi Food and Drug Authority (72.6%) and the Saudi Ministry of Health (55.4%). Participants most frequently sought epidemiological information (52.5%), quantitative risk estimates (23.1%), and information on the various types of foodborne infections (15.3%); they preferred the information to be in video format (67.5%), articles (57.6%), infographics (55.3%). Trustworthiness clearly emerged from the survey as an important consideration for individuals when accessing food safety information on social media.

The use of social media as a tool for stakeholder engagement in health service design and quality improvement: A scoping review

Background

Health-related social media use is common but few health organisations have embraced its potential for engaging stakeholders in service design and quality improvement (QI). Social media may provide new ways to engage more diverse stakeholders and conduct health design and QI activities.

Objective

To map how social media is used by health services, providers and consumers to contribute to service design or QI activities.

Methods

The scoping review was undertaken using the Joanna Briggs Institute methodology. An advisory committee of stakeholders provided guidance throughout the review. Inclusion criteria were studies of any health service stakeholders, in any health setting, where social media was used as a tool for communications which influenced or advocated for changes to health service design or delivery. A descriptive numerical summary of the communication models, user populations and QI activities was created from the included studies, and the findings were further synthesised using deductive qualitative content analysis.

Results

40 studies were included. User populations included organisations, clinical and non-clinical providers, young people, people with chronic illness/disability and First Nations people. Twitter was the most common platform for design and QI activities. Most activities were conducted using two-way communication models. A typology of social media use is presented, identifying nine major models of use.

Conclusion

This review identifies the ways in which social media is being used as a tool to engage stakeholders in health service design and QI, with different models of use appropriate for different activities, user populations and stages of the QI cycle.

How Do Urban Environments Affect Young People's Mental Health? A Novel Conceptual Framework to Bridge Public Health, Planning, and Neurourbanism

Childhood and adolescence are crucial periods for mental and social development. Currently, mental illness among young people is a global epidemic, and rates of disorders such as depression and anxiety are rising. Urban living, compared with rural living, is linked with a higher risk of serious mental illness, which is important because the world is urbanizing faster than ever before. Urban environments and their landscapes, designs, and features influence mental health and well-being. However, no conceptual frameworks to date have detailed the effect of urban environments on young people's mental health, and few studies have considered the growing role of digital and social media in this relationship, leading to calls for the development of holistic approaches to describe this relationship. This article synthesizes existing knowledge on urban places (both built and natural environments) and mental health in the public health and urban planning literature and examines the emerging field of neurourbanism (a multidisciplinary study of the effect of urban environments on mental health and brain activity) to enhance current practice and research. We developed 2 novel conceptual frameworks (1 research-oriented, 1 practice-oriented), adapted from Bronfenbrenner's socioecological model, that focus on the relationship between urban environments and young people's mental health. We added a digital and social media contextual level to the socioecological model, and we applied a multilayer concept to highlight potential cross-field interactions and collaborations. The proposed frameworks can help to guide future practice and research in this area.

Review of Artificial Intelligence Applied in Decision-Making Processes in Agricultural Public Policy

The objective of this article is to review how Artificial Intelligence (AI) tools have helped the process of formulating agricultural public policies in the world. For this, a search process was carried out in the main scientific repositories finding different publications. The findings have shown that, first, the most commonly used AI tools are agent-based models, cellular automata, and genetic algorithms. Secondly, they have been utilized to determine land and water use, and agricultural production. In the end, the large usefulness that AI tools have in the process of formulating agricultural public policies is concluded.

A topic modeling framework for spatio-temporal information management

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Propose a robust procedure to take a decision for selecting the best topic model. We design an adaptive framework to use gained knowledge for improving the result over time. For our case study we used four topic modeling techniques and report the result of the evaluation techniques.

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Propose a neural network using transfer learning techniques to enhance the framework ability to detect unrelated messages over data streams existing in twitter. We focus our attention in healthcare to present examples.

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Create automatic deep cleaning method to enhance the quality of data to perform better classification in outlier and topic detection.

Real-time processing and learning of conflicting data, especially messages coming from different ideas, locations, and time, in a dynamic environment such as Twitter is a challenging task that recently gained lots of attention. This paper introduces a framework for managing, processing, analyzing, detecting, and tracking topics in streaming data. We propose a model selector procedure with a hybrid indicator to tackle the challenge of online topic detection. In this framework, we built an automatic data processing pipeline with two levels of cleaning. Regular and deep cleaning are applied using multiple sources of meta knowledge to enhance data quality. Deep learning and transfer learning techniques are used to classify health-related tweets, with high accuracy and improved F1-Score. In this system, we used visualization to have a better understanding of trending topics. To demonstrate the validity of this framework, we implemented and applied it to health-related twitter data from users originating in the USA over nine months. The results of this implementation show that this framework was able to detect and track the topics at a level comparable to manual annotation. To better explain the emerging and changing topics in various locations over time the result is graphically displayed on top of the United States map.

Use of Health Belief Model-Based Deep Learning Classifiers for COVID-19 Social Media Content to Examine Public Perceptions of Physical Distancing: Model Development and Case Study

Background

Public health authorities have been recommending interventions such as physical distancing and face masks, to curtail the transmission of coronavirus disease (COVID-19) within the community. Public perceptions toward such interventions should be identified to enable public health authorities to effectively address valid concerns. The Health Belief Model (HBM) has been used to characterize user-generated content from social media during previous outbreaks, with the aim of understanding the health behaviors of the public.

Objective

This study is aimed at developing and evaluating deep learning–based text classification models for classifying social media content posted during the COVID-19 outbreak, using the four key constructs of the HBM. We will specifically focus on content related to the physical distancing interventions put forth by public health authorities. We intend to test the model with a real-world case study.

Methods

The data set for this study was prepared by analyzing Facebook comments that were posted by the public in response to the COVID-19–related posts of three public health authorities: the Ministry of Health of Singapore (MOH), the Centers for Disease Control and Prevention, and Public Health England. The comments made in the context of physical distancing were manually classified with a Yes/No flag for each of the four HBM constructs: perceived severity, perceived susceptibility, perceived barriers, and perceived benefits. Using a curated data set of 16,752 comments, gated recurrent unit–based recurrent neural network models were trained and validated for text classification. Accuracy and binary cross-entropy loss were used to evaluate the model. Specificity, sensitivity, and balanced accuracy were used to evaluate the classification results in the MOH case study.

Results

The HBM text classification models achieved mean accuracy rates of 0.92, 0.95, 0.91, and 0.94 for the constructs of perceived susceptibility, perceived severity, perceived benefits, and perceived barriers, respectively. In the case study with MOH Facebook comments, specificity was above 96% for all HBM constructs. Sensitivity was 94.3% and 90.9% for perceived severity and perceived benefits, respectively. In addition, sensitivity was 79.6% and 81.5% for perceived susceptibility and perceived barriers, respectively. The classification models were able to accurately predict trends in the prevalence of the constructs for the time period examined in the case study.

Conclusions

The deep learning–based text classifiers developed in this study help to determine public perceptions toward physical distancing, using the four key constructs of HBM. Health officials can make use of the classification model to characterize the health behaviors of the public through the lens of social media. In future studies, we intend to extend the model to study public perceptions of other important interventions by public health authorities.

Modeling Impact of Word of Mouth and E-Government on Online Social Presence during COVID-19 Outbreak: A Multi-Mediation Approach

Although social presence plays an essential role under general conditions, its role becomes significant for societal protection during the quarantine period in epidemic outbreak. In this study, we attempted to identify the role of E-government and COVID-19 word of mouth in terms of their direct impact on online social presence during the outbreak as well as their impacts mediated by epidemic protection and attitudes toward epidemic outbreaks. For this purpose, a unique multi-mediation model is proposed to provide a new direction for research in the field of epidemic outbreaks and their control. Through random sampling, an online survey was conducted and data from 683participants were analyzed. Partial least squares structural equation modeling was used to test the relationships between the variables of interest. The study results revealed that the roles of E-government and COVID-19 word of mouth are positively related to online social presence during the outbreak. Epidemic protection and attitude toward epidemic outbreak were found to positively moderate the impact of the role of E-government and COVID-19 word of mouth on online social presence during the outbreak. The key findings of this study have both practical and academic implications.

Committed to Health: Key Factors to Improve Users' Online Engagement through Facebook

Health organizations, continuously exposed to public scrutiny due to the social relevance of the services provided, have adopted social media to disseminate information about health but also about themselves, and thus, reducing uncertainty and improving communication. In this context, users’ participation in social media has become one of the main indicators of their effectiveness, highlighting the importance of analyzing which factors enhance online engagement. This research extends the number of variables identified in prior studies and analyzes 19,817 Facebook posts from 126 health organizations. Using multivariate linear regression, explanatory results show that economic and organizational attributes, and factors related to the social media posts, both contribute significantly to explain the engagement reached in social media by those organizations. According to our findings, health organizations are not taking enough advantage of social media to engage with their current and potential users. The dissemination of relevant information using visually attractive formats could help draw the attention of consumers, both to reach a higher commitment with the organization and to create value for society.

Health Information Engagement Factors in Malaysia: A Content Analysis of Facebook Use by the Ministry of Health in 2016 and 2017

Health organizations have widely adopted social media for health promotion, public health communication conveyance, and organizational promotion activities. However, little published data exists on the factors that facilitate health information diffusion in South East Asia, especially Malaysia compared with Western countries. This study aimed to investigate factors associated with good engagement rates among internet users on the Facebook (FB) page of Ministry of Health Malaysia. In this observational study, 2123 FB posts were randomly selected. Data dated from 1 November 2016 to 31 October 2017 was gathered from the Facebook Insight. The logistic regression model was applied to identify factors associated with good engagement rates. This study found that a FB post with a good engagement rate was significantly associated with a health education post (Adjusted Odd Ratio (AOR): 3.80, 95% Confidence Interval CI: 3.02⁻4.78, p < 0.001), a risk communication post (AOR: 1.77, 95% CI: 1.39⁻2.26, p < 0.001), a post in the afternoon (AOR: 1.76, 95% CI: 1.34⁻2.31, p < 0.001) or in the evening (AOR: 1.48, 95% CI: 1.20⁻1.82, p < 0.001), and a video format (AOR: 3.74, 95% CI: 1.44⁻9.71, p = 0.007). Therefore, we present the first comprehensive analysis of health information engagement among internet users in Malaysia. The growing trends of online health information-seeking behaviors and demand for the availability of validated health information require effective strategies by public health organizations to disseminate health information and achieve better audience engagement on social media.

Comprehensive scoping review of health research using social media data

INTRODUCTION

The rising popularity of social media, since their inception around 20 years ago, has been echoed in the growth of health-related research using data derived from them. This has created a demand for literature reviews to synthesise this emerging evidence base and inform future activities. Existing reviews tend to be narrow in scope, with limited consideration of the different types of data, analytical methods and ethical issues involved. There has also been a tendency for research to be siloed within different academic communities (eg, computer science, public health), hindering knowledge translation. To address these limitations, we will undertake a comprehensive scoping review, to systematically capture the broad corpus of published, health-related research based on social media data. Here, we present the review protocol and the pilot analyses used to inform it.

METHODS

A version of Arksey and O'Malley's five-stage scoping review framework will be followed: (1) identifying the research question; (2) identifying the relevant literature; (3) selecting the studies; (4) charting the data and (5) collating, summarising and reporting the results. To inform the search strategy, we developed an inclusive list of keyword combinations related to social media, health and relevant methodologies. The frequency and variability of terms were charted over time and cross referenced with significant events, such as the advent of Twitter. Five leading health, informatics, business and cross-disciplinary databases will be searched: PubMed, Scopus, Association of Computer Machinery, Institute of Electrical and Electronics Engineers and Applied Social Sciences Index and Abstracts, alongside the Google search engine. There will be no restriction by date.

ETHICS AND DISSEMINATION

The review focuses on published research in the public domain therefore no ethics approval is required. The completed review will be submitted for publication to a peer-reviewed, interdisciplinary open access journal, and conferences on public health and digital research.

Big Data Analysis to Observe Check-in Behavior Using Location-Based Social Media Data

With rapid advancement in location-based services (LBS), their acquisition has become a powerful tool to link people with similar interests across long distances, as well as connecting family and friends. To observe human behavior towards using social media, it is essential to understand and measure the check-in behavior towards a location-based social network (LBSN). This check-in phenomenon of sharing location, activities, and time by users has encouraged this research on the frequency of using an LBSN. In this paper, we investigate the check-in behavior of several million individuals, for whom we observe the gender and their frequency of using Chinese microblog Sina Weibo (referred as “Weibo”) over a period in Shanghai, China. To produce a smooth density surface of check-ins, we analyze the overall spatial patterns by using the kernel density estimation (KDE) by using ArcGIS. Furthermore, our results reveal that female users are more inclined towards using social media, and a difference in check-in behavior during weekday and weekend is also observed. From the results, LBSN data seems to be a complement to traditional methods (i.e., survey, census) and is used to study gender-based check-in behavior.

Social Media Landscape of the Tertiary Referral Hospitals in China: Observational Descriptive Study

Background

Social media has penetrated all walks of life. Chinese health care institutions are increasingly utilizing social media to connect with their patients for better health service delivery. Current research has focused heavily on the use of social media in developed countries, with few studies exploring its usage in the context of developing countries, such as China. Tertiary hospitals in China are usually located in city centers, and they serve as medical hubs for multiple regions, with comprehensive and specialized medical care being provided. These hospitals are assumed to be the pioneers in creating official social media accounts to connect with their patients due to the fact that they appear to have more resources to support this innovative approach to communication and health care education.

Objective

The objective of our study was to examine China’s best tertiary hospitals, as recognized by The National Health Commission of the People’s Republic of China (NHCPRC), and to map out the landscape of current social media usage by hospitals when engaging with patients.

Methods

We examined the best 705 tertiary hospitals in China by collecting and analyzing data regarding their usage of popular Chinese social media apps Sina Weibo and WeChat. The specific data included (1) hospital characteristics (ie, time since established, number of beds, hospital type, and regions or localities) and (2) status of social media usage regarding two of the most popular local social media platforms in China (ie, time of initiation, number of followers, and number of tweets or posts). We further used a logistic regression model to test the association between hospital characteristics and social media adoption.

Results

Of all, 76.2% (537/705) tertiary referral hospitals have created official accounts on either Sina Weibo or WeChat, with the latter being more popular among the two. In addition, our study suggests that larger and newer hospitals with greater resources are more likely to adopt social media, while hospital type and affiliation with universities are not significant predictors of social media adoption among hospitals.

Conclusions

Our study demonstrated that hospitals are more inclined to use WeChat. The move by hospitals from Sina Weibo to WeChat indicates that patients are not satisfied by mere communication and that they now place more value on health service delivery. Meanwhile, utilizing social media requires comprehensive thinking from the hospital side. Once adopted, hospitals are encouraged to implement specific rules regarding social media usage. In the future, a long journey still lies ahead for hospitals in terms of operating their official social media accounts.

Mining social media data: How are research sponsors and researchers addressing the ethical challenges?

Background:

Data representing people’s behaviour, attitudes, feelings and relationships are increasingly being harvested from social media platforms and re-used for research purposes. This can be ethically problematic, even where such data exist in the public domain. We set out to explore how the academic community is addressing these challenges by analysing a national corpus of research ethics guidelines and published studies in one interdisciplinary research area.

Methods:

Ethics guidelines published by Research Councils UK (RCUK), its seven-member councils and guidelines cited within these were reviewed. Guidelines referring to social media were classified according to published typologies of social media research uses and ethical considerations for social media mining. Using health research as an exemplar, PubMed was searched to identify studies using social media data, which were assessed according to their coverage of ethical considerations and guidelines.

Results:

Of the 13 guidelines published or recommended by RCUK, only those from the Economic and Social Research Council, the British Psychological Society, the International Association of Internet Researchers and the National Institute for Health Research explicitly mentioned the use of social media. Regarding data re-use, all four mentioned privacy issues but varied with respect to other ethical considerations. The PubMed search revealed 156 health-related studies involving social media data, only 50 of which mentioned ethical concepts, in most cases simply stating that they had obtained ethical approval or that no consent was required. Of the nine studies originating from UK institutions, only two referred to RCUK ethics guidelines or guidelines cited within these.

Conclusions:

Our findings point to a deficit in ethical guidance for research involving data extracted from social media. Given the growth of studies using these new forms of data, there is a pressing need to raise awareness of their ethical challenges and provide actionable recommendations for ethical research practice.

All that Glitters is not Gold: Six Steps Before Selecting and Prioritizing e-Health Services

Since the market for e-health applications is constantly growing, it is getting an ever more complex endeavor to select and prioritize the right service offering given a particular situation. In examining the extant literature, it was revealed that little emphasis is actually placed on how to analyze contextual or environmental factors prior to the selection and prioritization of e-health services. With this paper, we therefore propose a formative framework consisting of six fundamental yet very pragmatic steps that may support decision makers in identifying the most important contextual pre-requisites that e-health services need to fulfill in order to be considered as effective for their environment to be implemented.

Use of Social Media in Citizen-Centric Electronic Government Services

This article undertakes a literature review on such articles on social media and citizen-centric e-government services. This research uses 139 articles to perform the intended literature review. The keywords analysis of these articles indicates that Web 2.0, participation and open government/open data were some of the frequently used keywords in addition to the two major themes of e-government and social media on which all the articles were searched for. The analysis of research methods indicated that majority of the studies were analytical, conceptual, descriptive, or theoretical in nature. The theoretical analysis however indicated that there is a lack of theory-based research in this area. The review of literature indicated that research themes such as electronic participation, engagement, transparency, communication/interaction, trust, security and collaboration are some of the most frequently used categories under this area of research. A research framework has also been proposed from the key themes emerging from the review.