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Timely recognition and response to emerging infectious diseases are critical, yet frontline health care personnel often struggle with access to crucial information. This study assessed Centers for Disease Control and Prevention (CDC) Health Alert Network (HAN) advisories as potential computable data sources for clinical decision support (CDS) systems aimed at frontline health care personnel responding to emerging infectious diseases.
Methods
We analyzed 89 HAN advisories using a CDS prototype designed for emergency room triage nurses managing high-impact pathogens. Two reviewers systematically annotated advisories for key elements, with a third reviewer resolving discrepancies.
Results
Of 89 CDC HAN advisories, 70 addressed infectious pathogens, including 50 on 13 high-consequence organisms. Among these advisories, 47% included a start date, none had an end date, 53% mentioned symptoms, and 11% described isolation precautions, which varied significantly from 0% to 27%. Early COVID-19 advisories illustrated evolving guidance.
Conclusions
CDC HAN advisories are often incomplete, specifically lacking dynamic time-specific details and isolation precautions. Enhancing advisories with structured, computable data and a flexible CDS system will improve the timely dissemination of actionable information to frontline health care personnel. This will enable swift, informed decision-making and more optimized patient care.
In Nigeria and Africa, the use of artificial intelligence (AI) large language models such as ChatGPT as a source of health and cancer information is increasing; however, the quality of this information remains largely unknown. This study assessed whether ChatGPT-generated cancer patient education material (PEM) aligns with clinician-authored content in usefulness, understandability, and clarity.
Methods:
Using a cross-sectional study design, 409 adults were recruited to complete questionnaires assessing the usefulness, understandability, and clarity of cancer PEMs created by AI-ChatGPT (using GPT-4o) and clinicians.
Results:
Of 371 participants who completed the questionnaire, most were female (70%), held a bachelor’s degree or higher (90%), were urban residents (80%), and over half (58%) lacked health insurance. The findings showed that ChatGPT-using GPT-4o–produced PEMs were comparable to clinician-developed materials in usefulness, understandability, and clarity, with no overall significant differences. However, clinician statements on “healthy diet” and “limit alcohol” were rated clearer than AI’s equivalents, with statistically significant differences for both (p = 0.025, d = 0.24; p = 0.006, d = 0.30). Only 14% of participants reported using AI for health information, yet 58% expressed trust in it, suggesting potential for rapid adoption.
Conclusions:
ChatGPT (GPT-4o) can produce PEMs comparable to clinician-created ones in usefulness, understandability, and clarity. This is the first Africa-based study to compare clinician- and AI-generated cancer PEMs.
Practice implications:
Clinicians and health educators may consider using AI, particularly ChatGPT, to support PEM development in Africa; however, outputs require clinician review, cultural adaptation, and alignment with the health system.
Cultural Lenses and Shared Horizons (CLASH), a theory for intercultural health communication, addresses limitations of existing approaches by conceptualizing communication as a contextually situated and locally managed activity. By examining intercultural tensions in health contexts, the Element shows how meaning, ethics, and decision-making are constituted through communicative practices across legal, policy, community, and interpersonal levels. CLASH presents four frameworks-Magic Consciousness, Mythic Connection, Perspectival Thinking, and Integral Fusion—to explain and predict how different forms of cultural consciousness shape experiences of reality and the evaluation of communicative practices within and across specific communities. Emphasizing the dynamic and emergent nature of social interactions, CLASH provides an analytical framework to examine how participants recognize, negotiate, and reconcile divergent cultural frameworks. By conceptualizing culture as an ongoing process embedded in social contexts, CLASH offers a regenerative paradigm for analyzing intercultural health communication. This title is also available as Open Access on Cambridge Core.
Visual communication plays a vital role in conveying public health messages, yet design quality and effectiveness vary. This online study with 16 designers examined whether applying evolutionary psychology theory enhances designers’ understanding, acceptance, visual cohesion of materials, and the effect of embedding biomimetic patterns. COVID-19 posters were used as context. Theory informed posters showed greater cohesion and were rated as more attention-grabbing. Results raise questions over tensions between theory- and creative demands and highlight designers’ impact on health communication.
This Element offers a critical exploration of institutional health communication in an era marked by information overload and uneven content quality. It examines how health institutions can navigate the challenges of false, misleading, and poor-quality health information while preserving public trust and scientific integrity. Drawing from disciplines such as health communication, behavioral science, media studies, and rhetoric, this Element promotes participatory models, transparent messaging, and critical health literacy. Through a series of thematic sections and practical examples, it addresses the role of science, politics, media, and digital influencers in shaping public understanding. Designed as both a conceptual guide and a strategic toolkit, this Element aims to support institutions in fostering informed, engaged, and resilient communities through communication that is clear, ethical, and responsive to the complexities of today's health discourse. This title is also available as Open Access on Cambridge Core.
The purpose of the seminar was to bring together scholars from within linguistics and disciplines such as psychology to explore what short-form social media is, how we might practically and ethically collect and analyse short-form social media data, and what analytic possibilities are on offer for a linguist interested in examining this type of data. The seminar, held at the University of Nottingham on 11th September 2024, was well-attended, with around twenty people joining in-person or online. It ran for a single day and was split into a morning of plenaries and lightning talks about personal research interests, and an afternoon of interactive sessions which sought synergies between those research interests.
Research into the Developmental Origins of Health and Disease (DOHaD) has established links between environmental exposures in early life and later-life health outcomes. Emerging interventions typically focus on improving maternal nutrition and neonatal healthcare practices yet often neglect to assess or enhance subject understanding of potential long-term impacts or to communicate the benefits of maximising parental health prior to conception. This study critically evaluates a survey tool developed to measure knowledge of non-communicable diseases (NCDs) and early-life contributors to lifelong health. The rationale behind the wording and format of the questions is examined alongside options for coding and statistical interpretation of the data. Considerations for implementation are discussed, illustrated by key findings arising from tracking of the tool’s application in Aotearoa New Zealand over ten years. We demonstrate that the survey tool can be adapted for use in a variety of contexts, producing both quantitative and qualitative baseline data suitable for informing health promotion interventions and monitoring changes in population knowledge. This research also highlights a key difference between awareness of and understanding of scientific concepts and the importance of distinguishing between these when considering public engagement with science.
Chapter 1 introduces the book, outlines its objectives and defines key conceptual terms. The broad objective is to tell a polyvocal story of how the arts intersect with health, illness and healing in Ghana across various levels of social organisation, from local to geopolitical. The story consists of three intersecting strands. The first strand builds on the argument, made by African art historians, that the arts drive African social life, demonstrating that arts are a core feature of communication in Ghanaian healing environments. These dynamic environments are co-constructed by healers and their clients. The second strand examines the value of arts applied to official health communication. Selected case studies show that these interventions use the arts as an add-on, rather than a central feature of health communication. Moreover, the ‘psychopolitics’ of global health models and colonial medicine models can undermine meaningful, safe and sustainable outcomes. The final strand advocates for incorporating Ghanaian arts traditions into official health communication models and interventions. The chapter concludes with brief descriptions of the chapters that follow.
The intersections between arts, creativity and health are of significant importance in the humanities and social sciences. Arts and health research, for example, suggests that the arts offer participatory and transformational alternatives to traditional health communication. However, concepts and methods are predominantly informed by Global North research, and critical insights from arts traditions elsewhere remain to be fully integrated into common models. Ghana offers a unique case study for examining local and global dynamics in arts-based health communication, because of the country's rich art traditions as well as its place in global history and in the global imagination. Healing art forms like music and sculpture have evolved through intentional cross-cultural borrowings, as well as through changes imposed through slavery, colonialism and post-colonial political systems. Selling Healing tells a polyvocal story of how Ghanaian art forms intersect with health, illness and healing, inviting a re-imagining of health communication in global health.
This Element explores the gendered dimensions of the ways language used to describe, define, and diagnose pregnancy loss impacts experiences of receiving and delivering healthcare in a UK context. It situates experiences of pregnancy loss language against the backdrop of gender role expectations, ideological tensions around reproductive choice, and medical misogyny; asking how language both reflects and influences contemporary gender norms and understandings of maternal responsibility. To do this, the Element analyses 10 focus group transcripts from metalinguistic discussions with 42 lived experience and healthcare professional participants, and 202 written metalinguistic contributions from the same cohorts. It demonstrates the gendered social and symbolic meanings of diagnostic terminology such as miscarriage, incompetent cervix, and termination or abortion in the context of a wanted pregnancy, as well as clinical discourses, on the experience of pregnancy loss and subsequent recovery and wellbeing. This title is also available as Open Access on Cambridge Core.
Chapter 3 considers different approaches to data collection. Three case studies are included. The first study involves a purpose-built corpus of news articles about obesity. We focus on theoretical considerations attending to corpus design, as well as practical challenges involved in processing texts provided by repositories such as LexisNexis to make them amenable to corpus analysis. The second study focuses on how corpus linguists might work with existing datasets, in this case, transcripts collected by research collaborators conducting ethnographic research in Australian Emergency Departments. We discuss the ways in which data collected for the purposes of different kinds of analysis is likely to require some pre-processing before it becomes suitable for corpus-based analysis. The third study is concerned with the creation of a corpus of anti-vaccination literature from Victorian England. We discuss the challenges involved in sourcing historical material from existing databases, selecting a principled set of potential texts for inclusion, and using optical character recognition (OCR) software to convert the texts into a format that is appropriate for corpus tools.
Chapter 1 introduces the context and aims of the book, and provides a brief introduction to corpus linguistics for readers unfamiliar with it. It finishes by providing a chapter-by-chapter overview of the book.
Chapter 11 introduces the concept of legitimation in discourse and considers how it might function, and be studied, in the context of health(care) communication. First, we look at how contributors to the online parenting forum Mumsnet use labels denoting attitudes towards vaccinations. We point out how labels that involve opposition to vaccinations, such as ‘anti-vaxxer’ tend to collocate with negation, and then consider how people justify negating the applicability of the label to themselves. This reveals a range of different concerns around vaccinations. We then draw on a study of patient feedback in which we examined how patients legitimate their perspectives and the evaluations they gave in their feedback. For example, this included patients representing themselves as experienced users of healthcare services. Additionally, some patients used aspects of their identities to position themselves as requiring attention, while others used techniques such as employing second person pronouns to imply that their experiences could be generalised to other patients.
Chapter 7 considers how language change over short timespans can be examined using corpus-assisted methods. We present three case studies. The first study involves a corpus of patient feedback relating to cancer care, collected for four consecutive years. A technique called the coefficient of variation was used to identify lexical items that had increased or decreased over time. The second study considered UK newspaper articles about obesity. To examine changing themes over time, we employed a combination of keyness and concordance analyses to identify which themes in the corpus were becoming more or less popular over time. Additionally, the analysis considered time in a different way, by using the concept of the annual news cycle. To this end, the corpus was divided into 12 parts, consisting of articles published according to a particular month, and the same type of analysis was applied to each part. The third case study involves an analysis of a corpus of forum posts about anxiety. Time was considered in terms of the age of the poster and in terms of the number of contributions that a poster had made to the forum, and differences were found depending on both approaches to time.
Chapter 6 shows how it is possible to use demographic metadata to study identities in health-related corpora. We present two case studies, based on research on patient feedback on NHS services in England. The first study compares how cancer patients of different age and sex groups evaluate healthcare services and, specifically, how they use distinct linguistic and rhetorical strategies to do this. The corpus was encoded with demographic metadata which allowed the researchers to explore the language used by people of different age and sex identity groups. For the second study, a different corpus of more general patient feedback was used, one which did not contain demographic information metadata. Instead, targeted searches were used to identify patients’ demographic characteristics based on cases where they made those characteristics explicit within their feedback. In contrasting these case studies, we also evaluate the two different approaches taken, considering the affordances and limitations of both. Taken together, the case studies demonstrate how language and identity can be explored in corpora with and without reliable demographic metadata.
Chapter 5 is concerned with sequential aspects of health-oriented interactions and the challenges this poses for corpus research. Two case studies demonstrate how conventional corpus procedures can be augmented with other linguistic approaches to facilitate a critical examination of the relationships between parts of the data that might otherwise be separated in corpus analysis. The first study is an investigation of a thread from an online forum dedicated to cancer – one that is explicitly dedicated to irreverent verbal play. We show how a corpus approach enabled the identification of humourous metaphors and helped us reveal recurrent lexical and grammatical features that facilitate discussion around sensitive topics, enable a coherent identity, and contribute to a sense of community. In the second study we use an approach that was originally applied to the Spoken BNC 2014 corpus to examine interactional data in terms of functional discourse units. We apply this coding framework to a sample of anxiety support forum data in order to document, quantify, and evaluate how various communicative purposes are formulated in forum posts and are met with different types of response.
Chapter 13 presents a synthesis of the previous chapters, beginning by asking the question – what have our experiences taught us about health communication that we didn’t know? We go on to examine lessons we learnt about carrying out corpus-based research on health communication, offering practical advice and tips for people who might be carrying out similar kinds of studies to the ones described in this book. We then consider the limitations of a corpus-based approach and end by looking to the future – what changes have taken place since we completed our analyses? What kinds of developments in the field of healthcare and in corpus linguistic analysis have occurred recently? And what avenues of research into health care do we believe are potentially interesting to investigate next?
Chapter 2 is concerned with research questions. We discuss the different processes through which research questions can be identified and developed in corpus-based research on health communication. Three case studies are considered. The first study involved the analysis of press representations of obesity. In this study, the researchers developed their own research questions in a variety of ways, including by drawing from the non-linguistic literature on obesity. The second study focused on the McGill Pain Questionnaire – a well-known language-based diagnostic tool for pain. A pain consultant asked the researchers if they could help understand why some patients find it difficult to respond to some sections of the questionnaire. In response, the researchers formulated a series of questions that could be answered using corpus linguistic tools, and identified some issues with the questionnaire that address the pain consultant’s concerns. The third study involved the analysis of patient feedback on the UK’s National Health Service. The researchers were approached by the NHS Feedback Team and given 12 questions that they were commissioned to answer by means of corpus linguistic methods.
Chapter 12 discusses the potential opportunities and challenges associated with disseminating the findings of corpus-based approaches to health communication, which also apply more generally to interdisciplinary research and collaborations between researchers and non-academic stakeholders. We include two case studies. The first case study involves work on patient feedback with members of the NHS who had provided a list of questions for us to work on. We discuss the importance of and challenges around building and maintaining relationships with members of this large, changing organisation, as well as outlining how we approached dissemination of findings, both in academic and non-academic senses, and the extent that we were able to carry out impact. The second case study considers our experiences of disseminating findings from a project on metaphors and cancer, focussing particularly on writing for a healthcare journal, dealing with the media, and going beyond corpus data to create a metaphor-based resource for communication about cancer.
Chapter 4 considers ethical issues in healthcare communication research through two case studies. The first case study looks at a relatively straightforward situation involving a study of the Pain Concern online forum. Data from the forum was provided by Health Unlocked, a company that runs a large number of online communities related to health. One advantage of using their service was that Health Unlocked took care of relevant legal requirements concerning ethics and only shared data from contributors to the forum who had agreed for their posts to be used for research purposes. The second case study relates to the study of dementia and brings into focus the difficulties of working with multiple datasets and a range of stakeholders. The data collection for this project involved public health communication in terms of news media and external communications from support services, including social media. As such, it presents scenarios that are common to studies of health communication and thereby offers instruction in how to navigate related ethical concerns.