42,161 research outputs found

    Identifying peer experts in online health forums

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    Abstract Background Online health forums have become increasingly popular over the past several years. They provide members with a platform to network with peers and share information, experiential advice, and support. Among the members of health forums, we define “peer experts” as a set of lay users who have gained expertise on the particular health topic through personal experience, and who demonstrate credibility in responding to questions from other members. This paper aims to motivate the need to identify peer experts in health forums and study their characteristics. Methods We analyze profiles and activity of members of a popular online health forum and characterize the interaction behavior of peer experts. We study the temporal patterns of comments posted by lay users and peer experts to uncover how peer expertise is developed. We further train a supervised classifier to identify peer experts based on their activity level, textual features, and temporal progression of posts. Result A support vector machine classifier with radial basis function kernel was found to be the most suitable model among those studied. Features capturing the key semantic word classes and higher mean user activity were found to be most significant features. Conclusion We define a new class of members of health forums called peer experts, and present preliminary, yet promising, approaches to distinguish peer experts from novice users. Identifying such peer expertise could potentially help improve the perceived reliability and trustworthiness of information in community health forums.https://deepblue.lib.umich.edu/bitstream/2027.42/148520/1/12911_2019_Article_782.pd

    COPe-support - a multi-component digital intervention for family carers for people affected by psychosis: study protocol for a randomized controlled trial.

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    BACKGROUND: Psychosis often causes significant distress and impacts not only in the individuals, but also those close to them. Many relatives and friends ('carers') provide long-term support and need resources to assist them. We have co-produced a digital mental health intervention called COPe-support (Carers fOr People with Psychosis e-support) to provide carers with flexible access to high quality psychoeducation and interactive support from experts and peers. This study evaluates the effectiveness of COPe-support to promote mental wellbeing and caregiving experiences in carers. METHODS: This study is a single-blind, parallel arm, individually randomized controlled trial (RCT) comparing COPe-support, with attention control. Both groups continue to receive usual care. COPe-support provides interactive web-based psychoeducation on psychosis-related issues, wellbeing-promotion and network support through forums. The attention-control is a non-interactive online information resource pack. Carers living in England are eligible if they provide at least weekly support to a family member or close friend affected by psychosis, and use internet communication (including emails) daily. All trial procedures are run online, including collection of outcome measurements which participants will directly input into our secure platform. Following baseline assessment, a web-based randomization system will be used to allocate 360 carers to either arm. Participants have unlimited access to the allocated condition for 40 weeks. Data collection is at three time points (10, 20, and 40 weeks after randomization). Analyses will be conducted by trial statisticians blinded to allocation. The primary outcome is mental wellbeing measured by Warwick Edinburgh Mental Wellbeing Scale (WEMWBS), at 20 weeks. As well as an intention-to-treat analysis, a complier average causal effect (CACE) analysis will be conducted to estimate the intervention effect in participants who have accessed COPe-support content twice or more. The secondary objectives and analysis will examine other health and caregiving-related outcomes and explore mechanisms. In a process evaluation, we will interview 20% of the intervention arm participants regarding the acceptability of COPe-support. We will explore in detail participants' usage patterns. DISCUSSION: The results of this trial will provide valuable information about the effectiveness of COPe-support in promoting wellbeing and caregiving experiences in carers. TRIAL REGISTRATION: The RCT is registered with the Current Controlled Trials registration (ISRCTN 89563420, registration date: 02/03/2018)

    Online communities: utilising emerging technologies to improve crime prevention knowledge, practice and dissemination

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    Foreword: Online communities are increasingly being recognised as a way of sharing ideas and knowledge among different practitioner communities, particularly when practitioners are not able to meet face to face. This paper explores the considerations associated with establishing online communities for crime prevention practitioners, drawing on research from across the community of practice, online community and knowledge management sectors. The paper provides an overview of the administrative considerations of online community development, as well as the key barriers and enablers to practitioner engagement in an online community, and the potential implications for a crime prevention-specific practitioner community. As such, it is a useful tool for those in the crime prevention sector wanting to maximise the influence of an existing online community or to guide those contemplating the implementation of an online community of practice in the future

    People on Drugs: Credibility of User Statements in Health Communities

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    Online health communities are a valuable source of information for patients and physicians. However, such user-generated resources are often plagued by inaccuracies and misinformation. In this work we propose a method for automatically establishing the credibility of user-generated medical statements and the trustworthiness of their authors by exploiting linguistic cues and distant supervision from expert sources. To this end we introduce a probabilistic graphical model that jointly learns user trustworthiness, statement credibility, and language objectivity. We apply this methodology to the task of extracting rare or unknown side-effects of medical drugs --- this being one of the problems where large scale non-expert data has the potential to complement expert medical knowledge. We show that our method can reliably extract side-effects and filter out false statements, while identifying trustworthy users that are likely to contribute valuable medical information

    MOOC adaptation and translation to improve equity in participation

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    There is an urgent need to improve elementary and secondary school classroom practices across India and the scale of this challenge is argued to demand new approaches to teacher professional learning.  Massive Open Online Courses (MOOCs) represent one such approach and which, in the context of this study, is considered to provide a means by which to transcend traditional training processes and disrupt conventional pedagogic practices. This paper offers a critical review of a large-scale MOOC deployed in English, and then in Hindi, to support targeted sustainable capacity building within an education development initiative (TESS-India) across seven states in India.  The study draws on multiple sources of participant data to identify and examine features which stimulated a buzz around the MOOCs, leading to over 40,000 registrations and a completion rate of approximately 50% for each of the two MOOCs

    Supporting and Enabling Scholarship: Developing and Sharing Expertise in Online Learning and Teaching

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    In a highly competitive, rapidly changing higher education market, universities need to be able to generate pedagogical expertise quickly and ensure that it is applied to practice. Since teaching approaches are constantly evolving, partly responding to emerging learning technologies, there is a need to foster ways to keep abreast on an ongoing basis. This paper explores how a small-scale project, the Teaching Online Panel (TOP), used scholarship investigations and a bottom-up approach to enhance one particular aspect of academic practice – online learning and teaching. The experiences of TOP are useful for identifying: - how a scholarship approach can help develop academic expertise - its contribution to enhancing understanding of staff’s different roles in the University - ways of developing the necessary supportive network for those undertaking such scholarship - the effectiveness of staff development which is peer-led rather than imposed from above - how practical examples can stimulate practice development - the relevance of literature on communities of practice and landscapes of practice for scholarship - the important role of ‘brokers’ to facilitate the dissemination of scholarship findings - the benefits to the brokers’ own professional roles - the challenges of sustaining such an approach and lessons learnt. This study has relevance for those involved in supporting scholarship or delivering staff development in Higher Education

    Demonstrating the validity of the Video Game Functional Assessment-Revised (VGFA-R)

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    Problematic video play has been well documented over the course of the last decade. So much so the DSM-5 (APA, 2013) has included problematic video gaming as disorder categorized as Internet Gaming Disorder. The field of applied behavior analysis has been utilizing functional assessments for the last 30 years and has showed evidence of effective results across different populations and environments. Therefore, the purpose of this investigation (comprising three studies) was to validate an indirect functional assessment entitled the Video Game Functional Assessment-Revised (VGFA-R). Using academic experts in the field of video game addiction and applied behavioral analysis (n=6), the first study examined the content validity of the VGFA-R and was able to demonstrate the assessment exceeded the criterion for an established assessment. A second study comprising a survey of 467 gamers examined the factorability by using a confirmatory factor analysis, and found that VGFA-R had an overall variance above .60. Within the third laboratory-based study using gamers (n=11), the VGFA-R was examined for construct validity and found the VGFA-R was able to predict 85% of the appropriate function of behavior. Implications of the study are discussed along with the strengths and limitations of the study and future research directions

    The Web 2.0 as Marketing Tool: Opportunities for SMEs

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    The new generation of Internet applications widely known as Social Media or Web 2.0 offers corporations a whole range of opportunities for improving their marketing efficiency and internal operations. Web 2.0 applications have already become part of the daily life of an increasing number of consumers who regard them as prime channels of communication, information exchange, sharing of expertise, dissemination of individual creativity and entertainment. Web logs, podcasts, online forums and social networks are rapidly becoming major sources of customer information and influence while the effectiveness of traditional mass media is rapidly decreasing. Using the social media as a marketing tool is an issue attracting increasing attention. The hitherto experience is that large public corporations are more likely to make use of such instruments as part of their marketing and internal operations (McKinsey, 2007).The paper defines the Web 2.0 phenomenon and based on the experience of large corporations examines how SMEs could engage the various Web 2.0 instruments in order to efficiently market their products, improve customer relations, increase customer retention and enhance internal operations

    Understanding Individual Experiences of Chronic Illness with Semantic Space Models of Electronic Discussions

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    Electronic discussion groups provide a convenient forum for individuals to share their experiences of chronic illness. The language use of individual participants, and the way their language shifts over time, may provide implicit indications of important shifts in sense-of-self. This paper relates experience with application of the hyperspace analogue to language (HAL) model for automatic construction of a dimensional model from a corpus of text. HAL is applied to 17 months of discussion on a closed list of 20 women coping with chronic illness. The discussion group was moderated for a focus the phenomenon of "Transition' - how people can learn to incorporate the consequences of illness into their lives. The current phase of research focuses on identification of clusters of words that can represent key aspects of Transition. The HAL models for two participants have been analyzed by experts in Transition to form candidate clusters. These clusters are then used as a basis for contrasting the language usage of an individual participant over time as compared to the entire corpus. We have not yet found a reliable basis for identifying transitions in an individual based on their entries into a discussion forum, although the clusters may have some inherent value for introspection on individual experiences and Transition in general. We report challenges for interpretation of the HAL model related to the correlation of dimensions and the impact of group dynamics
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