Information Behavior in Online Healthcare

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Health Informatics and Big Data".

Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 9687

Special Issue Editors


E-Mail Website
Guest Editor
Business School, Nankai University, Tianjin 300071, China
Interests: online healthcare
College of Management and Economics, Tianjin University, Tianjin, China
Interests: online platform; platform management; information management
School of Business, Jiangnan University, Wuxi, China
Interests: information behavior; trust; knowledge sharing

Special Issue Information

Dear Colleagues,

The advancement of online health platforms in the last decade has brought about many benefits to all stakeholders (e.g., physicians, patients, and practitioners) in the healthcare industry. Especially during the COVID-19 pandemic period, online health platforms, as one of the main health information sources, could efficiently provide informative support and emotional support for the public under the conditions of quarantine and lockdown policies. More importantly, online health platforms can be leveraged for alleviating urban–rural health disparities, creating social value. As user-generated content platforms, online health platforms provide an ideal setting where physicians can provide health-relevant knowledge and information, as well as online consultations; meanwhile, patients can share their experience for peer-to-peer support. By doing so, online health platforms, to some extent, have converted the situation of health information scarcity to a situation of health information abundance. Patients can improve their health literacy and health outcomes by actively engaging in health information seeking and processing through online health platforms. However, because of information asymmetry and the unobservable quality of health services, the value of these information behaviors on online health platforms remains vague. Physicians may lack  understanding of the appropriate means of information sharing, and the unexpected outcomes will diminish their motivation to contribute to these information behaviors on online health platforms. There is another possibility, that faced with abundant health information, patients exposed to an overload of information may easily generate information anxiety, thus leading to information avoidance behaviors. With regard to these challenges, information behaviors of both physicians and patients deserve to draw more scholarly and managerial attention for comprehensively understanding information behaviors on online health platforms and achieving its optimal social value.

Dr. Xiaofei Zhang
Dr. Feng Guo
Dr. Fanbo Meng
Guest Editors

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Keywords

  • online health platforms
  • health information
  • patient behavior
  • physician behavior
  • value creation

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Published Papers (4 papers)

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Research

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14 pages, 393 KiB  
Article
Exploring the Impact of Online Medical Team Engagement on Patient Satisfaction: A Semantic Features Perspective
by Siqi Wang and Xiaofei Zhang
Healthcare 2024, 12(11), 1113; https://doi.org/10.3390/healthcare12111113 - 29 May 2024
Viewed by 925
Abstract
Online medical teams (OMTs), a new mode of online healthcare service, have emerged in online health communities (OHCs) in China. This study attempts to explore the underlying mechanism of how OMTs’ engagement influences patient satisfaction through the lens of semantic features. This study [...] Read more.
Online medical teams (OMTs), a new mode of online healthcare service, have emerged in online health communities (OHCs) in China. This study attempts to explore the underlying mechanism of how OMTs’ engagement influences patient satisfaction through the lens of semantic features. This study also scrutinizes the moderating effect of multiple specializations on the link between OMTs’ engagement and semantic features. We utilized a linear model that had fixed effects controlled at the team level for analysis. A bootstrapping approach using 5000 samples was employed to test the mediation effects. The findings reveal that OMTs’ engagement significantly improves language concreteness in online team consultations, which subsequently enhances patient satisfaction. OMT engagement has a negative impact on emotional intensity, ultimately decreasing patient satisfaction. Multiple specializations strengthen the impact of OMT engagement on both language concreteness and emotional intensity. This study contributes to the literature on OMTs and patient satisfaction, providing insights into patients’ perceptions of OMTs’ engagement during online team consultation. This study also generates several implications for the practice of OHCs and OMTs. Full article
(This article belongs to the Special Issue Information Behavior in Online Healthcare)
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20 pages, 1134 KiB  
Article
Configuration Path Study of Influencing Factors on Health Information-Sharing Behavior among Users of Online Health Communities: Based on SEM and fsQCA Methods
by Minhao Xiang, Tianning Guan, Mengqi Lin, Yujie Xie, Xingyu Luo, Minghua Han and Kun Lv
Healthcare 2023, 11(12), 1789; https://doi.org/10.3390/healthcare11121789 - 17 Jun 2023
Cited by 2 | Viewed by 1848
Abstract
This study examines the determinants that drive the behavior of sharing health information within online health communities. Leveraging the Theory of Planned Behavior, the Technology Acceptance Model, and the “Knowledge-Attitude-Practice” theory, a comprehensive model elucidating the key elements that sway the health information-sharing [...] Read more.
This study examines the determinants that drive the behavior of sharing health information within online health communities. Leveraging the Theory of Planned Behavior, the Technology Acceptance Model, and the “Knowledge-Attitude-Practice” theory, a comprehensive model elucidating the key elements that sway the health information-sharing behavior among users of online health communities is designed. This model is validated through Structural Equation Modeling (SEM) and Fuzzy Set Qualitative Comparative Analysis (fsQCA). Findings derived from the SEM suggest that perceived ease of use, perceived usefulness, perceived trust, and perceived behavioral control exert a significant positive impact on attitudes towards health information sharing, the intention to share health information, and the actual health information-sharing behavior. The fsQCA unfolds two unique configuration path models that lead to the emergence of health information-sharing behavior: one predicated on perceived trust and sharing intention, and the other on perceived usefulness, behavioral control, and sharing attitude. This research provides invaluable insights, fostering a deeper comprehension of the dynamics involved in health information sharing within online communities, thereby directing the design of more effective health platforms to augment user engagement and enable informed health decisions. Full article
(This article belongs to the Special Issue Information Behavior in Online Healthcare)
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14 pages, 624 KiB  
Article
The Promotion of Hearing Health through Wikipedia Campaigns: Article Quality and Reach Assessment
by Alexandre Alberto Pascotto Montilha, Thais Catalani Morata, Daiana Ávila Flor, Maria Aparecida Andrade Moreira Machado, Fabrício Augusto Menegon and Fernanda Zucki
Healthcare 2023, 11(11), 1572; https://doi.org/10.3390/healthcare11111572 - 27 May 2023
Cited by 2 | Viewed by 1992
Abstract
This case study examined the feasibility, reach, and potential impact of using Wikipedia as a tool for hearing health promotion. Activities involved editing existing Portuguese-language Wikipedia hearing health articles, as well as translating English-language hearing health articles to Portuguese during the Wiki4WorldHearingDay2019 and [...] Read more.
This case study examined the feasibility, reach, and potential impact of using Wikipedia as a tool for hearing health promotion. Activities involved editing existing Portuguese-language Wikipedia hearing health articles, as well as translating English-language hearing health articles to Portuguese during the Wiki4WorldHearingDay2019 and Wiki4YearOfSound2020 online campaigns. The Wikipedia efforts that took place in Brazil were carried out by 10 volunteer undergraduate students in Speech-Language Pathology and Audiology at the Federal University of Santa Catarina, in Brazil. Among new and existing Wikipedia articles, the group edited 37 articles, which attracted more than 220,000 views during the set tracking period. Students were responsible for 60% of the Portuguese-language edits during the Wiki4WorldHearingDay2019 campaign and more than 90% of the Portuguese-language edits during the first half of the Wiki4YearOfSound2020 campaign. Moreover, the quality indexes for pages either created or edited were improved in all situations by registering an increase rate ranging from 33% to 100%. Wikipedia-centered activities expanded the availability of quality scientific content, written in plain language, to the public. Students worked together in order to select topics, assess existing information, validate it, create new content, and share information—steps that contributed to the mission of health promotion and knowledge dissemination for the benefit of society. Full article
(This article belongs to the Special Issue Information Behavior in Online Healthcare)
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Review

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10 pages, 1118 KiB  
Review
Present and Future of AI-IoT-Based Healthcare Services for Senior Citizens in Local Communities: A Review of a South Korean Government Digital Healthcare Initiatives
by Dong-Jin Kim, Yun-Su Lee, Eun-Raye Jeon and Kwang Joon Kim
Healthcare 2024, 12(2), 281; https://doi.org/10.3390/healthcare12020281 - 22 Jan 2024
Cited by 5 | Viewed by 3818
Abstract
South Korea is promoting digital healthcare services in the public sector. One notable initiative is the “artificial intelligence and the internet of things (AI–IoT)-based healthcare project for senior citizens”, which was implemented by the Korea Health Promotion Institute (KHPI). This project utilized an [...] Read more.
South Korea is promoting digital healthcare services in the public sector. One notable initiative is the “artificial intelligence and the internet of things (AI–IoT)-based healthcare project for senior citizens”, which was implemented by the Korea Health Promotion Institute (KHPI). This project utilized an IoT-based digital healthcare service that integrates information technology and screen-based AI speaker functions. Services through this project are intended for senior citizens aged 65 years (or older) who face challenges in visiting public healthcare institutions owing to limitations on outdoor activities, especially in the post-coronavirus 2019 era. This article shares the recent outcomes of this project and outlines the mid-to-long-term development strategies for this style of South Korean digital healthcare initiatives. Full article
(This article belongs to the Special Issue Information Behavior in Online Healthcare)
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