Designing a Patient-Centered Clinical Workflow to Assess Cyberbully Experiences of Youths in the U.S. Healthcare System

Cyberbullying or online harassment is often defined as when someone repeatedly and intentionally harasses, mistreats, or makes fun of others aiming to scare, anger or shame them using electronic devices [296]. Youths experiencing cyberbullying report higher levels of anxiety and depression, mental distress, suicide thoughts, and substance abuse than their non-bullied peers [360, 605, 261, 354]. Even though bullying is associated with significant health problems, to date, very little youth anti-bullying efforts are initiated and directed in clinical settings. There is presently no standardized procedure or workflow across health systems for systematically assessing cyberbullying or other equally dangerous online activities among vulnerable groups like children or adolescents [599]. Therefore, I developed a series of research projects to link digital indicators of cyberbullying or online harassment to clinical practices by advocating design considerations for a patient-centered clinical assessment and workflow that addresses patients’ needs and expectations to ensure quality care. Through this dissertation, I aim to answer these high-level research questions:RQ1. How does the presence of severe online harassment on online platforms contribute to negative experiences and risky behaviors within vulnerable populations? RQ2. How efficient is the current mechanism of screening these risky online negative experiences and behaviors, specifically related to cyberbully, within at-risk populations like adolescent in clinical settings? RQ3. How might evidence of activities and negative harassing experiences on online platforms best be integrated into electronic health records during clinical treatment? I first explore how harassment is presented within different social media platforms from diverse contexts and cultural norms (study 1,2, and 3); next, by analyzing actual patient data, I address current limitations in the screening process in clinical settings that fail to efficiently address core aspect of cyberbullying and their consequences within adolescent patients (study 4 and 5); finally, connecting all my findings, I recommend specific design guidelines for a refined screening tool and structured processes for implementation and integration of the screened data into patients’ electronic health records (EHRs) for better patient assessment and treatment outcomes around cyberbully within adolescent patients (study 6)

Social support, social capital and online community e-loyalty: an empirical study

Online communities, as an essential manifestation of online social relationships, sociality factors (including social support factors and social relationship factors, etc.) ought to facilitate the formation of community trust and community satisfaction. However, although the existing literature has explored the underlying mechanisms of online community trust and satisfaction formation, few studies implemented research from the integrated sociality perspectives. In this thesis, we integrate social capital theory and social support theory to consider social capital and social support as important antecedent social factors in forming community trust and community satisfaction, which influence users' trust and satisfaction in online communities. Community trust and satisfaction further promote community loyalty. Specifically, this thesis scrutinizes the influence of three levels of social support factors such as information support, emotional support, and human-computer network management support and three kinds of social capital such as structure, cognition, and relationship to online community trust and satisfaction. Based on the proposed research model, 430 online community users' survey data were collected through an empirical questionnaire and the research model was tested through the partial least squares structural equation model method. The results of the thesis suggest that social support factors, including information support, emotional support, and interpersonal network interaction support, and social capital factors including structural capital, relational capital, and cognitive capital significantly affect community users' loyalty not only directly but also indirectly through enhancing community users' trust and satisfaction. Thus, users' trust and satisfaction with the community are significant mediating variables.Nas comunidades online, como uma importante manifestação das relações sociais online, os fatores de socialidade (incluindo fatores de apoio social e fatores de relacionamento social) devem facilitar a formação de confiança e satisfação da comunidade. No entanto, embora a literatura existente tenha explorado os mecanismos subjacentes à formação da confiança e da satisfação da comunidade online, poucos estudos consideraram a perspectiva social de forma integrada. Nesta tese, integramos a teoria do capital social e a teoria do suporte social para considerar o capital social e o suporte social como importantes fatores sociais antecedentes na formação da confiança e satisfação da comunidade, que influenciam a confiança e a satisfação dos utilizadores em comunidades online. A confiança e a satisfação da comunidade promovem ainda mais a lealdade da comunidade. Especificamente, esta tese estuda a influência de três níveis de fatores de suporte social - suporte de informação, suporte emocional e suporte de gestão da relação homen-computador - e três tipos de capital social - estrutura, cognição e relacionamento - na confiança e satisfação da comunidade online. Com base no modelo de pesquisa proposto, 430 observações de utilizadores de comunidades online foram recolhidos através de um questionário. O modelo de pesquisa foi testado através de métodos de equação estruturais. Os resultados da tese relevam que fatores de suporte social, incluindo suporte de informação, suporte emocional e suporte de interação de rede interpessoal, e fatores de capital social, incluindo capital estrutural, capital relacional e capital cognitivo, afetam significativamente a lealdade dos utilizadores da comunidade, não apenas diretamente mas também indiretamente, aumentando a confiança e a satisfação dos utilizadores da comunidade; a confiança e a satisfação dos usuários com a comunidade são variáveis mediadoras importantes

An Evaluation of Computational Methods to Support the Clinical Management of Chronic Disease Populations

Innovative primary care models that deliver comprehensive primary care to address medical and social needs are an established means of improving health outcomes and reducing healthcare costs among persons living with chronic disease. Care management is one such approach that requires providers to monitor their respective patient panels and intervene on patients requiring care. Health information technology (IT) has been established as a critical component of care management and similar care models. While there exist a plethora of health IT systems for facilitating primary care, there is limited research on their ability to support care management and its emphasis on monitoring panels of patients with complex needs. In this dissertation, I advance the understanding of how computational methods can better support clinicians delivering care management, and use the management of human immunodeficiency virus (HIV) as an example scenario of use. The research described herein is segmented into 3 aims; the first was to understand the processes and barriers associated with care management and assess whether existing IT can support clinicians in this domain. The second and third aim focused on informing potential solutions to the technological shortcomings identified in the first aim. In the studies of the first aim, I conducted interviews and observations in two HIV primary care programs and analyzed the data generated to create a conceptual framework of population monitoring and identify challenges faced by clinicians in delivering care management. In the studies of the second aim, I used computational methods to advance the science of extracting from the patient record social and behavioral determinants of health (SBDH), which are not easily accessible to clinicians and represent an important barrier to care management. In the third aim, I conducted a controlled experimental evaluation to assess whether data visualization can improve clinician’s ability to maintain awareness of their patient panels

The appraisal of Facebook online community: An exposition of mobile commerce in social media reviews

Peer reviewe

ALT-C 2012 Abstracts

This is a PDF of the abstracts for all the sessions at the 2012 ALT conference. It is designed to be used alongside the online version of the conference programme. It was made public on 7 September 2012

Social media and campaigns for social good: best practices for mental health nonprofit organizations

2014 Summer.Includes bibliographical references.This study sought to better understand how mental health nonprofits are using social media platforms to communicate with three audiences: their clients, support groups of their clients, and the general public. Four research questions were studied through a series of ten in-depth interviews with communications professionals at mental health nonprofits in Colorado. The study found that social media was an important component of these nonprofits' online communication strategy. Goals with social media ranged from funneling visitors to the organization's website to raising awareness about its particular focus in mental health. Many participants expressed interest in communicating with their clients and even providing some extension of their services through social media, but found requirements for privacy set by the Health Insurance Portability and Accountability Act (HIPAA) to be restrictive. Although not all organizations considered the general public to be a major target audience, most agreed that some portion of their posts provided education, awareness, and stigma-fighting components. Several organizations considered friends and family members of their clients to be their most important target audience, and focused posts on providing informational and emotional support to this group. Clients were also noted as benefitting from this informational and emotional support. Findings from the interviews were used to suggest seven best practices for social media use by mental health nonprofits

Putting responsible research and innovation into practice at a local level in South Africa

Chapter 3 in the book Science Communication in South Africa.Published by African Minds