{"title":"Narrative Immersion Versus Short-Form Video Delivery: Emotional Tone and Affective-Cognitive Pathways to Mental Health Engagement.","authors":"Soo Jung Hong","doi":"10.1080/10810730.2026.2682497","DOIUrl":"10.1080/10810730.2026.2682497","url":null,"abstract":"<p><p>This study examines how human-crafted narratives and AI-generated short-form messages engage audiences in mental health communication through affective and cognitive mechanisms. Using a 2 × 3 online experiment (<i>N</i> = 600) in South Korea, participants were exposed to narrative or AI-generated short-form messages framed with positive, negative, or neutral emotion. Drawing on narrative persuasion and dual-process frameworks, we tested a serial mediation model in which transportation and perceived message effectiveness (PME) sequentially mediated the effect of message format on mental health engagement intentions.Results showed that message format indirectly influenced engagement intentions through a sequential affective-cognitive pathway, but the operation of this pathway varied by emotional tone. Under negative emotional framing, engagement intentions were driven by a full serial mediation process, whereas transportation alone negatively predicted engagement when PME was controlled. Under positive framing, engagement intentions were primarily driven by transportation. These findings demonstrate that emotional tone conditions the psychological mechanisms of narrative persuasion, with negative emotion promoting deeper cognitive elaboration and positive emotion enhancing immersive engagement. This study advances theory on digital mental health communication and offers practical guidance for emotion-sensitive storytelling strategies aimed at fostering mental health engagement.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":" ","pages":"317-325"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148143639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Building Quality Through Structure: How Narrative Gaps and Conspiracy Beliefs Influence Health Message Coherence.","authors":"Samantha B Lorenzo, Sylvester Senyo Ofori-Parku","doi":"10.1080/10810730.2026.2670327","DOIUrl":"10.1080/10810730.2026.2670327","url":null,"abstract":"<p><p>Ensuring quality health communication is especially challenging during crises, when evolving guidance may appear contradictory or incomplete. This study investigates how such contradictions-framed as narrative gaps-along with conspiracy beliefs, shape public evaluations of message quality. An online experiment with U.S. adults (<i>N</i> = 790) compared exposure to three contradictory Centers for Disease Control and Prevention (CDC) COVID-19 testing protocols versus a revised version designed for narrative coherence. Participants evaluated the messages on reliability and effectiveness, credibility, and trust in the government and scientists. Results showed that contradictory messages significantly undermined all three outcomes. Mediation analyses revealed that these effects operated primarily through participants' perception of narrative gaps rather than through active gap-filling or inference-making behaviors. COVID-19 conspiracy beliefs did not increase perceptions of gaps but moderated gap-filling: individuals with lower conspiratorial beliefs were more likely to generate explanations when inconsistencies appeared. These findings identify perceived incoherence as the key mechanism eroding trust and highlight the importance of designing coherent, gap-minimizing narratives to sustain credibility in rapidly changing information environments.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":"31 4","pages":"138-148"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148308377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Evan K Perrault, Beth Ann Labadorf, Bhakti Chavda, Prudence T Mbah, Cassidy Munoz
{"title":"Promotion - The 4th P of Social Marketing: A Scoping Review of Efforts from 2010-2022.","authors":"Evan K Perrault, Beth Ann Labadorf, Bhakti Chavda, Prudence T Mbah, Cassidy Munoz","doi":"10.1080/10810730.2026.2615828","DOIUrl":"10.1080/10810730.2026.2615828","url":null,"abstract":"<p><p>Social marketing is a recommended framework advocated by the federal government for health promotion professionals to use in the creation of programming and campaigns. Arguably the most visible element of any social marketing effort rests with its 4th \"P\" - promotion. This scoping review (<i>n</i> = 174 publications) sought to understand how social marketers around the globe over a 13-year time span promoted their ideas to target audiences. Seven promotional channel strategies were identified (print, interpersonal, mass media, online/digital, promotional materials/products, social media, and media advocacy). The most popular strategies were print and interpersonal channels. Social marketing efforts used an average of 3.86 (SD = 1.47) promotional channel strategies. However, most efforts reviewed (55.7%) did not include any images or examples of the promotional strategies they utilized. Additionally, the majority also did not list an author affiliated with a communication department/school or communication agency (82.2%). For social marketing to truly achieve its aim of promoting social good for all of society, it is important for writeups of these efforts to be less ambiguous in their descriptions of their efforts so that future promotion professionals are not having to start from scratch when seeking to communicate effectively with their populations.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":" ","pages":"65-76"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146029913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Impact of Physician Collaboration on Online Medical Team Effectiveness: Evidence from a Telemedicine Platform.","authors":"Lulu Zhou, Fang Sun, Kee-Hung Lai, Fang Wang, Xiaofei Zhang","doi":"10.1080/10810730.2026.2682508","DOIUrl":"10.1080/10810730.2026.2682508","url":null,"abstract":"<p><p>Physicians increasingly deliver health information and medical support through online medical teams (OMTs) in telemedicine platforms, where patients interact with multiple physicians within a single consultation episode. Yet limited research has systematically examined how physician collaboration influences team effectiveness in OMTs. This study investigates the impact of physician collaboration on team effectiveness using a panel dataset of 1,181 OMTs from 2017 to 2023 on a leading Chinese telemedicine platform. We employ a difference-in-differences design and large language models to identify the effects of physician collaboration and uncover the underlying mechanisms. Our results show that physician collaboration reduces team effectiveness. To unpack the underlying mechanisms, we further examine two potential effects: the cognitive-load effect and the free-riding effect. The empirical results reveal that the cognitive-load effect significantly decreases team effectiveness, whereas there is no empirical evidence to support the free-riding effect. Additionally, heterogeneity analyses indicate that the negative effect of collaboration is mitigated when more experienced physicians are involved. These results provide theoretical insights into team performance in telemedicine contexts and advance health communication research. The findings also offer practical guidance for platform designers to strengthen communication management in team-based telemedicine platforms.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":" ","pages":"335-350"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148194764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Doctor Will See Your Data Now - Data Risks in Journalistic Media Coverage of Digital Health Applications for Chronic Diseases.","authors":"Franca Singh, Julia Metag","doi":"10.1080/10810730.2026.2682495","DOIUrl":"10.1080/10810730.2026.2682495","url":null,"abstract":"<p><p>Drawing on Critical Data Studies and research on journalistic framing of emerging technologies, this study examines how German print media portray data risks associated with digital health technologies for chronic disease management. Using structural topic modeling of 3,027 articles from 2010 to 2024, we first identify that data protection concerns constitute a distinct and significant topic in chronic disease coverage. Subsequent manual content analysis of 367 articles from this topic reveals five media frames varying in their portrayal of these risks, from dismissive technological optimism to critical market skepticism. Despite these different frames, we found no significant differences between tabloid and quality publications or between daily and weekly newspapers, suggesting consistency in how German journalism approaches healthcare data risks. Our analysis contributes to understanding the role of media in shaping public perception of digital health technologies.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":" ","pages":"275-284"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148194815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wen Ning Tiong, Afiq Izzudin A Rahim, Wan Nor Arifin Wan Mansor, Nor Azwany Yaacob
{"title":"Mapping E-Cigarette Content on Social Media: A Scoping Review of Methods, AI Applications, and Promotional Strategies.","authors":"Wen Ning Tiong, Afiq Izzudin A Rahim, Wan Nor Arifin Wan Mansor, Nor Azwany Yaacob","doi":"10.1080/10810730.2026.2684616","DOIUrl":"10.1080/10810730.2026.2684616","url":null,"abstract":"<p><p>E-cigarette narratives on social media are rapidly evolving alongside the rise of short-form video and advances in artificial intelligence (AI) that enable scalable content analysis. This scoping review mapped research on e-cigarette-related social media content, focusing on methodological approaches (including AI use) and key findings (study domains, promotional strategies, and reporting of additional social media dimensions). Web of Science, Scopus, and PubMed were searched in October 2025 for English-language, peer-reviewed studies published between 2011 and 2025. After independent title/abstract screening by two reviewers and full-text assessment, 136 studies were included. Twitter/X was the most frequently studied platform, followed by Instagram, TikTok, YouTube, and Facebook; only TikTok showed a steady increase in the number of studies. Manual coding predominated, with smaller proportions using computational or hybrid approaches. Computational approaches were generally applied to larger datasets and more consistently reported validation. AI applications were concentrated in topic discovery and sentiment assessment, whereas multimodal approaches such as image classification and sociodemographic inference were uncommon despite the shift toward video-centric platforms. This review advances previous mapping by providing an AI application taxonomy and highlighting methodological gaps in validation practice across manual, computational, and hybrid pipelines. Future studies should expand the use of AI applications alongside transparent and robust validation practices to enable scalable, reliable, and efficient social media surveillance on e-cigarettes.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":" ","pages":"205-221"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148225918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Linking Risk Perceptions and Information Acquisition to Preventive Behaviors: An Application of the Extended Integrative Model of Behavioral Prediction in Italy and the United States During the COVID-19 Pandemic.","authors":"Rain Wuyu Liu, Cheng Ying, Alice Fanari","doi":"10.1080/10810730.2026.2670328","DOIUrl":"10.1080/10810730.2026.2670328","url":null,"abstract":"<p><p>During the COVID-19 pandemic, rapidly evolving health guidance and widespread misinformation posed unprecedented challenges for quality health communication. This study examines how individuals navigated this changing information environment by extending the integrative model of behavioral prediction (IMBP) to explore how risk perceptions and information acquisition relate to preventative behavioral intentions (mask-wearing and social distancing) via cognitive beliefs (attitudes, perceived norms, self-efficacy) across the U.S. (<i>n</i> = 333) and Italy (<i>n</i> = 331). In Italy, risk perceptions predicted intentions through information seeking and specific IMBP constructs: attitudes for social distancing, and injunctive norms plus self-efficacy for mask-wearing. No such serial mediation emerged in the U.S. and information scanning did not create mediation pathways in either country. Direct associations revealed that information seeking related to IMBP constructs in both countries, while information scanning showed associations only in the U.S. Attitudes, injunctive norms, and self-efficacy consistently predicted intentions across both countries and behaviors, whereas descriptive norms predicted only Americans' mask-wearing intentions. These findings highlight how cultural and structural factors shape information processing pathways during health crises, with implications for culturally tailored public health communication strategies.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":"31 4","pages":"170-182"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148308359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ava Kikut-Stein, Emma Jesch, Dhriti Dhawan, Rachel McCloud, Kasisomayajula Viswanath
{"title":"Does Misinformation Have Spillover Effects on Unrelated Health Behaviors? Promising Null Results from a Longitudinal Study of U.S. Adults.","authors":"Ava Kikut-Stein, Emma Jesch, Dhriti Dhawan, Rachel McCloud, Kasisomayajula Viswanath","doi":"10.1080/10810730.2026.2623409","DOIUrl":"10.1080/10810730.2026.2623409","url":null,"abstract":"<p><p>In the wake of the COVID-19 pandemic, a critical question for health communication is whether misinformation exposure and misperceptions about one health topic have far-reaching, or \"spillover,\" effects on health behavior in general. The present longitudinal study of U.S. adults (T1 <i>n</i> = 1012, T2 <i>n</i> = 607) examines the potential effects of COVID-19 misinformation endorsement at T1 (Jul. 30-Aug. 12, 2020) on both topically related prevention behavior (COVID-19 vaccine intention/behavior) and unrelated behavior (exercise, alcohol consumption, vaping, and smoking) one year later, at T2 (Jul. 20-Aug. 12, 2021), controlling for behavior at baseline. We found misinformation endorsement negatively predicted related behavior (COVID-19 vaccination); it did not predict unrelated behaviors. These findings are consistent with behavior change theories and do not support spillover effects, suggesting false beliefs about a topic are unlikely to directly predict unrelated health behaviors. Implications for public health communication are discussed.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":" ","pages":"77-89"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147276610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How Defense and Accuracy Motives Influence Health Information Seeking and Avoidance: A Dual-Motive Model Perspective.","authors":"Hye Kyung Kim, Rui Gu, Yungwook Kim","doi":"10.1080/10810730.2025.2598820","DOIUrl":"10.1080/10810730.2025.2598820","url":null,"abstract":"<p><p>This study proposes a dual-motive model of health information seeking and avoidance, incorporating two distinctive motives for information behaviors - the accuracy and defense motives. In the proposed model, we identify the key antecedents to these two motives and explore political ideology as a potential moderator. In the context of COVID-19, an online survey was conducted with 638 respondents in South Korea. The results indicate that information insufficiency is linked to information seeking, whereas information overload and denial explain information avoidance to a greater extent. Trust in government and risk perception are negatively linked to information overload, reactance, and denial. Liberals' and conservatives' perceptions of risk and emotions differently activate information motives and behaviors. These findings provide theoretical and practical implications for health information management.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":" ","pages":"22-33"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145687706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sarah Marshall, Dana Mouwad, Heather L Shepherd, Karen Lee, Julie Ayre, Kirsten McCaffery, Andrew Milat, Don Nutbeam, Danielle M Muscat
{"title":"A Scalability Assessment of an Organizational Health Literacy Initiative to Support Health Professionals in Developing Quality Consumer Information.","authors":"Sarah Marshall, Dana Mouwad, Heather L Shepherd, Karen Lee, Julie Ayre, Kirsten McCaffery, Andrew Milat, Don Nutbeam, Danielle M Muscat","doi":"10.1080/10810730.2026.2670324","DOIUrl":"10.1080/10810730.2026.2670324","url":null,"abstract":"<p><p>Scalable initiatives are needed to support health professionals in developing quality health information for patients. The electronic Patient Communication Portal (ePCP) is an evidence-based organizational health literacy digital platform and process to support staff in creating quality, accessible health information that adheres to health literacy principles. This study applied the Intervention Scalability Assessment Tool (ISAT) to explore scalability and identify enablers and constraints for scaling the ePCP in an Australian jurisdiction. Focus groups with key informants were conducted to examine the 10 ISAT domains, which provide a framework for assessing scalability. Informants answered predefined questions (scored 0-3) and engaged in open-ended discussions for each domain. Mean domain scores ranged from 1.4 to 3.0, with \"The problem\" domain scoring highest (3.0/3.0) and the \"Innovation costs\" domain scoring lowest (1.4/3.0). Key informants expressed strong consensus on a multifaceted challenge in delivering quality health information that justified scaling the ePCP, as well as a favorable policy environment supporting expansion. Factors needing further consideration in scale-up planning were primarily related to implementation, such as workforce capacity and infrastructure. To our knowledge, this is the first scalability assessment of an organizational health literacy initiative globally. Our findings will inform ePCP scale-up planning and may offer generalizable insights into scaling initiatives that target quality health information in healthcare settings.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":"31 4","pages":"160-169"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148308405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}