AimsTo explore the possible extension of the illness script theory used in medicine to the nursing context.DesignA qualitative interview study.MethodsThe study was conducted between September 2019 and March 2020. Expert nurses were asked to think aloud about 20 patient problems in nursing. A directed content analysis approach including quantitative data processing was used to analyse the transcribed data.ResultsThrough the analysis of 3912 statements, scripts were identified and a nursing script model is proposed; the medical illness script, including enabling conditions, fault and consequences, is extended with management, boundary, impact, occurrence and explicative statements. Nurses often used explicative statements when pathophysiological causes are absent or unknown. To explore the applicability of Illness script theory we analysed scripts’ richness and maturity with descriptive statistics. Expert nurses, like medical experts, had rich knowledge of consequences, explicative statements and management of familiar patient problems.ConclusionThe knowledge of expert nurses about patient problems can be described in scripts; the components of medical illness scripts are also relevant in nursing. We propose to extend the original illness script concept with management, explicative statements, boundary, impact and occurrence, to enlarge the applicability of illness scripts in the nursing domain.ImpactIllness scripts guide clinical reasoning in patient care. Insights into illness scripts of nursing experts is a necessary first step to develop goals or guidelines for student nurses’ development of clinical reasoning. It might lay the groundwork for future educational strategies.
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For further development of technologies but also for the implementation in real life contexts, it is important to understand users' perspectives on the anticipated use of innovative technologies in an early development phase. In addition, it is also important to get a better understanding of the explanation of this behavior towards technology use in later stages. Although Head Mounted Displays (HMDs) are not really new anymore, the uptake has been slow so far and people showed some extreme reactions. The objective of this study was to analyze the content of YouTube comments on videos of HMDs, in order to get a better understanding of relevant factors in this early phase of potential acceptance of HMDs. We analyzed 379 YouTube comments on HMDs using content analysis. Comments were divided into three groups: HMD, video, and miscellaneous. Comments about HMDs n=24 were further analyzed. Most of the commenters showed a positive attitude to HMDs. Within the positive attitude, the most expressed themes were comments about the type of use (gaming), positive evaluations (emotions, coolness) and perceived need for an HMD. Within the negative attitudes, negative evaluations (judgments, emotions) were showed most and negative comparisons to other products were made. In neutral attitudes, the main theme was the type of use (gaming). The results specify a couple of user needs and social norms and values which people attach in this early phase to HMDs. In this early phase of acceptance, some early adoption observations were found as in when someone talks about the type of use (felt needs) and positive judgments (social norms). Early signs of rejection were found by negative judgments (social norms) and comparisons with other products (previous practice).
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Climate change is one of the key societal challenges of our times, and its debate takes place across scientific disciplines and into the public realm, traversing platforms, sources, and fields of study. The analysis of such mediated debates has a strong tradition, which started in communication science and has since then been applied across a wide range of academic disciplines.So-called ‘content analysis’ provides a means to study (mass) media content in many media shapes and formats to retrieve signs of the zeitgeist, such as cultural phenomena, representation of certain groups, and the resonance of political viewpoints. In the era of big data and digital culture, in which websites and social media platforms produce massive amounts of content and network this through hyperlinks and social media buttons, content analysis needs to become adaptive to the many ways in which digital platforms and engines handle content.This book introduces Networked Content Analysis as a digital research approach, which offers ways forward for students and researchers who want to work with digital methods and tools to study online content. Besides providing a thorough theoretical framework, the book demonstrates new tools and methods for research through case studies that study the climate change debate with search engines, Twitter, and the encyclopedia project of Wikipedia.
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Content Analysis has been developed within communication science as a technique to analyze bodies of text for features or (recurring) themes, in order to identify cultural indicators, societal trends and issues. And while Content Analysis has seen a tremendous uptake across scientific disciplines, the advent of digital media has presented new challenges to the demarcation and study of content. Within Content Analysis, different strategies have been put forward to grapple with these dynamics. And although these approaches each present ways forward for the analysis of web content, they do not yet regard the vast differences between web platforms that serve content, which each have their own ‘technicities,’ e.g. carry their own (often visually undisclosed) formats and formatting, and output their own results and rankings. In this dissertation I therefore develop Networked Content Analysis as a term for such techniques of Content Analysis that are adapted specifically to the study of networked digital media content. The case in question is climate change, one of the major societal challenges of our times, which I study on the web and with search engines, on Wikipedia as well as Twitter. In all, my contribution provides footing for a return to the roots of Content Analysis and at the same time adds to its toolkit the necessary web- and platform-specific research techniques for creating a fine-grained picture of the climate change debate as it takes place across platforms.
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Background Single session email consultations in web-based parenting support may be used for a variety of reasons. Parents may be looking for information on developmental needs of children, for suggestions to improve their parenting skills, or for referrals to helpful resources. The way the practitioner meets the needs of parents, choosing a shortterm and text-based approach, has not been analyzed up till now. Objective To determine if and how practitioner response in single session email consultation matches the need of parents. Method A content analysis of single session email consultations (129 questions; 5,997 response sentences) was conducted. Three perspectives on the parent–practitioner communication were distinguished to assess the match between parenting questions and consultations, i.e., the expert oriented, parent oriented and context oriented perspective. Results The parent oriented type is the dominant paradigm in requesting and providing email consultations, with which the other types may be combined. Most consultations showed a mixed perspective with the use of a limited amount of techniques within each perspective. Correlations between the practitioner’s approach and parental expectancies were weak. Conclusions Professionals have a broad approach to email consultation, offering advice of different perspectives, rather than restricting the advice in order to match a prevalent parental need. All proposed textual techniques were observed in email consultations, providing evidence of their feasibility. Since practice of email consultations is relatively new, practitioners may benefit from the proposed systematic approach to writing email consultations, identifying parental need and permitting the use of professional techniques.
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Social media platforms such as Facebook, YouTube, and Twitter have millions of users logging in every day, using these platforms for commu nication, entertainment, and news consumption. These platforms adopt rules that determine how users communicate and thereby limit and shape public discourse.2 Platforms need to deal with large amounts of data generated every day. For example, as of October 2021, 4.55 billion social media users were ac tive on an average number of 6.7 platforms used each month per internet user.3 As a result, platforms were compelled to develop governance models and content moderation systems to deal with harmful and undesirable content, including disinformation. In this study: • ‘Content governance’ is defined as a set of processes, procedures, and systems that determine how a given platform plans, publishes, moder ates, and curates content. • ‘Content moderation’ is the organised practice of a social media plat form of pre-screening, removing, or labelling undesirable content to reduce the damage that inappropriate content can cause.
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PCK is seen as the transformation of content knowledge and pedagogical knowledge into a different type of knowledge that is used to develop and carry out teaching strategies. To gain more insight into the extent to which PCK is content specific, the PCK about more topics or concepts should be compared. However, researchers have rarely compared teachers’ concrete PCK about more than one topic. To examine the content dependency of PCK, we captured the PCK of sixteen experienced Dutch history teachers about two historical contexts (i.e. topics) using interviews and Content Representation questionnaires. Analysis reveals that all history teachers’ PCK about the two contexts overlaps, although the degree of overlap differs. Teachers with relatively more overlap are driven by their overarching subject related goals and less by the historical context they teach. We discuss the significance of these outcomes for the role of teaching orientation as a part of PCK.
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Major news outlets increasingly use immersive techniques in their journalistic productions. The idea is that, through the application of immersive technologies, the news consumer can engage with and be part of the story. However, we do not know, to what extent this promise is actually fulfilled in productions currently accessible to news audiences. This study uses a multi-step approach to fill this knowledge gap.
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When we make games, we have many implicit understandings of what constitutes an interaction from a player and what constitutes their goal for playing; however, in trying to build a method of understanding a simple interaction (such as finding a key to open a gate) numerous limitations of our understanding were revealed. This talk presents Prof. Mata Haggis-Burridge’s and Thomas Buijtenweg’s development of a new model for understanding video games and interactive media: the Journey to Content. The approach looks at core structural elements of digital games and breaks them down into constituents that help us to understand the player, content, gates, and keys. This model presents an unusual and revealing insight into both the structure of existing games and the assumptions that are usually sublimated by creators. Unlike high-level analysis models, such as the MDA Framework and Bartle’s Taxonomy of Players, the Journey to Content model examines the moment-to-moment interactions of players within both the system of the game and their wider societal context. Early application of the concepts from the model have shown that it has practical use for designers, and that it has potential for stimulating new game concepts. The model also has implications for metrics analysis and study/development of interactive systems beyond games. The talk also contains information about four types of ‘immersion’ in video games: systems immersion, spatial immersion, social/empathic immersion, and narrative immersion. It is discussed how these four types can be impacted in a variety of positive and negative ways by an individual change to a game. These four types of immersion are then compared and combined with the Journey To Content model to reveal new research questions.
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Live blogs are a popular format for covering crises, breaking news, politics, or sports events. Despite their popularity among journalists and the public, the format has also been subject to scholarly debate regarding the conflict between immediacy versus credibility, resulting in a high degree of uncertainty for producers and consumers. Journalists cope with this paradox by performing discourse: imposing valid and persuasive representations of the social world. One way to do so is by the use and representation of sources. In this paper, we uncover the performative discourse of live blogs through possible patterns of sourcing and discursive strategies among a range of live blogs and the way journalists cope with the mix of speed and uncertainty. Based on a quantitative content analysis of nine Dutch live blogs, we conclude that journalists follow the same conventions and routines as regular (online) articles. Despite the possibilities for polyvocality (more and different voices in live blogs) due to the accessibility by social media, journalists choose predominantly formal sources and report their speech predominantly in a direct way.
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