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Ju I, Downey LA. The Role of Optimistic Bias and Affect on Social Media Searches About COVID-19. HEALTH COMMUNICATION 2024:1-11. [PMID: 39034621 DOI: 10.1080/10410236.2024.2380617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/23/2024]
Abstract
The preventive health behavior people adopt is partly a result of the risk they perceive from the threat, and health behavior theory has shown that risk communication is a critical part of that outcome. But risk to self and risk to others are often judged differently. Optimistic bias, which describes an unrealistic level of optimism about a threat, is a well described and frequently observed phenomenon in the study of health behavior. Traditional measurements of this construct have typically used the difference in self and other risk levels, which may obscure the impact. This study used a moderated mediation path with other-risk as a moderator of self-risk to study how optimistic bias and emotion about a rapidly changing risk may impact information seeking about it through social medial channels, which represent a still nascent but evolving media for credible health information. Results showed that optimistic bias about developing symptoms of COVID was indeed present and that the effect of perceived self-risk was mediated by fear and anxiety to predict social media searches about the threat. Further, affect and social media search behavior decreased with increasing levels of perceived other risk, indicating optimistic bias served to dampen a person's motivation to seek information. The implications of the results on health behavior theory, risk communication, and public health practice are discussed.
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Affiliation(s)
- Ilwoo Ju
- Brian Lamb School of Communication, Purdue University
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2
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Johnson BB, Mayorga M, Dieckmann NF. How people decide who is correct when groups of scientists disagree. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2024; 44:918-938. [PMID: 37507343 DOI: 10.1111/risa.14204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 07/07/2023] [Accepted: 07/20/2023] [Indexed: 07/30/2023]
Abstract
Uncertainty that arises from disputes among scientists seems to foster public skepticism or noncompliance. Communication of potential cues to the relative performance of contending scientists might affect judgments of which position is likely more valid. We used actual scientific disputes-the nature of dark matter, sea level rise under climate change, and benefits and risks of marijuana-to assess Americans' responses (n = 3150). Seven cues-replication, information quality, the majority position, degree source, experience, reference group support, and employer-were presented three cues at a time in a planned-missingness design. The most influential cues were majority vote, replication, information quality, and experience. Several potential moderators-topical engagement, prior attitudes, knowledge of science, and attitudes toward science-lacked even small effects on choice, but cues had the strongest effects for dark matter and weakest effects for marijuana, and general mistrust of scientists moderately attenuated top cues' effects. Risk communicators can take these influential cues into account in understanding how laypeople respond to scientific disputes, and improving communication about such disputes.
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Affiliation(s)
| | | | - Nathan F Dieckmann
- School of Nursing, Oregon Health & Science University, Portland, Oregon, USA
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Hijazi R, Abu Daabes A, Al-Ajlouni MI. Mobile payment service quality: a new approach for continuance intention. INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT 2023. [DOI: 10.1108/ijqrm-05-2022-0151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
PurposeThis paper assesses the continuance intention (CI) for mobile-based payment (M-payment) services following the COVID-19 pandemic by combining the self-efficacy construct with the electronic service quality model.Design/methodology/approachThis exploratory, cross-sectional research employs qualitative and quantitative research methods; specifically, a questionnaire and interviews. A total of 403 Jordanian participants completed valid questionnaires. Mediation and moderation evaluations assessed the M-payment service quality (MPSQ), self-efficacy and health concerns (HC) to determine CI.FindingsThe results verify the significance of MPSQ and self-efficacy in developing CI and show the mediating influence of self-efficacy between MPSQ and CI. Moreover, HC negatively impact the self-efficacy/CI link.Practical implicationsThis research benefits M-payment service providers seeking to secure customer loyalty via improved M-payment services. The behavioral intention investigation will provide rich information about potential customers' CI and illuminate areas for development.Originality/valueThis research makes an original contribution to the existing M-payment literature by investigating the impact of customers' perception of service quality on their CI to utilize M-payment services, balanced with self-efficacy and HC.
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Zhu YP, Zhu Y, Fan LZ. Research on hotspots and evolution paths in the field of health information behavior: a comparison study of bibliometrics based on CNKI and WoS data. LIBRARY HI TECH 2022. [DOI: 10.1108/lht-08-2022-0399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
PurposeThis study aimed to examine the research hotspots and evolution paths in the field of health information behavior (HIB) in China and abroad, and conduct comparative analysis to better understand its development trajectory globally.Design/methodology/approachA keyword search of the relevant literature included in the China National Knowledge Infrastructure (CNKI) database and Web of Science (WoS) core collection database was conducted, using the visualized analysis tool CiteSpace V for bibliometric analyses.FindingsThe common research hotspots in China and abroad can be divided into related research on HIB, research on its influencing factors and health information research. Among these, health information-seeking behavior has been the focus of domestic and foreign scholars. From the subdivision perspective, the focus of Chinese and foreign research hotspots differs. In terms of evolutionary path, the initial stage of HIB research in China and abroad revolves around health information and health information-seeking behavior, followed by the influencing factors of HIB; however, the research breakthrough point is the reverse. Then, domestic and foreign research was conducted on different types of HIBs. Regarding the selection of research objects, Chinese and foreign research objects were increasingly diversified.Research limitations/implicationsThis study also has several limitations. First, the literature sample only selected the literature in the WoS and CNKI databases, and there may be many HIB-related works published in other databases. Therefore, future research should include other databases. Second, in terms of language, this study selected only Chinese and English literature, but in many countries, important research results on certain topics are usually published in native language, and future research should expand the language selection. Third, this study only conducted national and institutional collaboration network analysis, keyword co-occurrence analysis, cluster analysis and timeline chart analysis.Practical implicationsThe implication of practice can be divided into the following three points. (1) Analyzing the domestic and foreign literature on HIB and identifying highly cooperative institutions and countries in the field of HIB can reveal the research situation of HIB and help researchers establish new research networks in the future. (2) Analyzing the research hotspots and evolutionary paths of HIB at home and abroad is helpful for quickly understanding the development context of this field and grasping the emerging research directions such as HIB of people in close contact with patients, health information exchange behavior, health information avoidance behavior and health information discontinuation behavior, which can help researchers to explore the future research direction in this field, so as to determine the topic and fill the research gap. (3) Combining the analysis of HIB-related research at home and abroad is helpful for professionals to understand the characteristics and rules of HIB of users, consumers and other groups to further optimize and improve health information services.Originality/valueComparing and summarizing the research status of HIB in China and globally, and presenting the findings visually, will help researchers better grasp the research overview and hotspot changes in this field, as well as provide a follow-up reference.
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Liu J, Wang S, Jiang H. The Impact of Popular Science Articles by Physicians on Their Performance on Online Medical Platforms. Healthcare (Basel) 2022; 10:healthcare10122432. [PMID: 36553956 PMCID: PMC9777991 DOI: 10.3390/healthcare10122432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 11/21/2022] [Accepted: 11/24/2022] [Indexed: 12/03/2022] Open
Abstract
The public demand for popular science knowledge regarding health is increasing, and physicians' popular science practices on online medical platforms are becoming frequent. Few studies have been conducted to address the relationship between specific characteristics of popular science articles by physicians and their performance. This study explored the impact of the characteristics of popular science articles on physicians' performance based on the elaboration likelihood model (ELM) from the central path (topic focus and readability) and the peripheral path (form diversity). Data on four diseases, namely, lung cancer, brain hemorrhage, hypertension, and depression, were collected from an online medical platform, resulting in relevant personal data from 1295 doctors and their published popular science articles. Subsequently, the independent variables were quantified using thematic analysis and formula calculation, and the research model and hypotheses proposed in this paper were verified through empirical analysis. The results revealed that the topic focus, readability, and form diversity of popular science articles by physicians had a significant positive effect on physicians' performance. This study enriches the research perspective on the factors influencing physicians' performance, which has guiding implications for both physicians and platforms, thereby providing a basis for patients to choose physicians and enabling patients to receive popular science knowledge regarding health in an effective manner.
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Khan AM, Soroya SH, Mahmood K. Impact of information credibility on social media information adoption behavior: a systematic literature review. LIBRARY HI TECH 2022. [DOI: 10.1108/lht-03-2022-0165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PurposeThe purpose of this systematic literature review was to collect and review the studies published worldwide in English language presenting the persuasive role of information/content credibility (IC) on the information adoption behavior (IAB) of social media users.Design/methodology/approachThe relevant literature was searched by the reviewers from two specialized databases, i.e. Library, Information Science and Technological Abstract (LISTA) and Library and Information Science Abstracts (LISA), whereas five general databases, i.e. Emerald, Springer Link, Taylor and Francis Online, ProQuest Dissertations and Theses Global and Google Scholar, using the Internet (portal) services available at the two Pakistani universities, i.e. University of Sargodha and the University of the Punjab. The search was updated in February 2022.FindingsThe results of this study revealed that there was a significant impact of IC over the IAB of social media users.Originality/valueThis study is the first of its nature that aims to collect and present a systematic review of the literature based on empirical evidence of the influential role of IC on the IAB of social media users.
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Wang Q, Zhou F, Zhang W, Tang C. A study of parental decision-making over the vaccination of girls, based on the protection motivation theory and the elaboration likelihood model. Front Public Health 2022; 10:1024399. [PMID: 36438257 PMCID: PMC9691002 DOI: 10.3389/fpubh.2022.1024399] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 10/27/2022] [Indexed: 11/12/2022] Open
Abstract
This study proposed a new theoretical framework that combines the protection motivation theory and the elaboration likelihood model to examine how health information processing patterns influence parents' vaccination decision-making on behalf of their daughters. Based on survey data from 359 parents of girls aged 9-15, we tested the theoretical model by using structural equation model. The results showed that the central route, represented by information quality, affected the parents' perceptions of HPV severity and susceptibility; the peripheral route, represented by source credibility, influenced their perceptions of HPV severity, HPV susceptibility, vaccine response efficacy, and secondary risks. Also, Chinese parents' perceptions of HPV vaccines, not perceptions of HPV, affected their intention to vaccinate their daughters. The study suggests in addition to improving the quality of health information, the peripheral route, such as the release of vaccination photos, public immunization evaluations, and case narratives, should also be used to change parents' perceptions. Besides, reducing the traditional stigmatization of female sexuality and improving parents' understanding of the new generation's sexual attitudes will increase parents' intention to have their daughters vaccinated against HPV.
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Affiliation(s)
- Qi Wang
- School of Industrial Design, Hubei University of Technology, Wuhan, China
| | - Fangzhou Zhou
- Institute of Communication Studies, Communication University of China, Beijing, China
| | - Wen Zhang
- School of Journalism and Culture Communication, Zhongnan University of Economics and Law, Wuhan, China,*Correspondence: Wen Zhang
| | - Chenjin Tang
- School of Journalism and Culture Communication, Zhongnan University of Economics and Law, Wuhan, China
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What influences user participation in an online health community? The stimulus-organism-response model perspective. ASLIB J INFORM MANAG 2022. [DOI: 10.1108/ajim-12-2021-0383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThe purpose of this paper is to understand the effect of platform characteristics (i.e. media richness and interactivity) on individual perception (i.e. outcome expectations) and consequent behavioral response (i.e. user participation in online health communities (OHCs)) based on the stimulus-organism-response (S-O-R) model.Design/methodology/approachThis study developed a research model to test the proposed hypotheses, and the proposed model was tested using partial least squares structural equation modeling (PLS-SEM) for which data were collected from 321 users with OHC experience using an online survey.FindingsThe empirical results show the following: (1) the three dimensions of media richness significantly affect the three outcome expectations, except that richness of expression has no significant effect on the outcome expectation of health self-management competence. (2) Human-to-human interaction significantly affects the three outcome expectations. Moreover, compared with human-to-human interaction, human-to-system interaction has a stronger impact on the outcome expectation of health self-management competence. (3) The three outcome expectations have a significant influence on user participation in OHCs.Originality/valueThis study extends the understanding about how platform characteristics (i.e. media richness and interactivity) motivate user participation in the context of OHCs. Drawing on the S-O-R model, this study reveals the underlying mechanisms by which media richness and interactivity are associated with outcome expectations and by which outcome expectations is associated with user participation in OHCs. This study enriches the literature on media richness, interactivity, outcome expectations and user participation in OHCs, providing insights for developers and administrators of OHCs.
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Xuan Y, Guo C, Lu W. The Effects of Information Continuity and Interpersonal Continuity on Physician Services Online: Cross-sectional Study. JMIR Med Inform 2022; 10:e35830. [PMID: 35862183 PMCID: PMC9353683 DOI: 10.2196/35830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 05/04/2022] [Accepted: 07/03/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Web-based medical services have become an effective supplement to traditional services in hospitals and an essential part of medical services. Studies have shown that web-based medical services are useful for shortening the delayed admission time and for enhancing the treatment effect from the service continuity perspective. However, the specific measures that patients and physicians should take to improve service continuity remain unknown. OBJECTIVE Based on the information richness theory and continuity of care, this study investigates the dynamic effects of information continuity and interpersonal continuity on physician services online. METHODS Data of 7200 patients with 360 physicians covering complete interaction records were collected from a professional web-based platform in China. Content analysis was performed to recognize matching patients and physicians, and least square regression analysis was performed to obtain all empirical results. RESULTS Empirical results showed that in the short term, information continuity (including offline experience, medical records, and detailed information) influences physicians' web-based services, and their influences show heterogeneity. Moreover, if a patient's online physician is the same physician who he/she has visited offline, we find that interpersonal continuity is important for service. In the long term, information continuity and interpersonal continuity positively improve service continuity by facilitating repeat purchases. CONCLUSIONS Overall, our findings not only shed new light on patient behavior online and cross-channel behavior but also provide practical insights into improving the continuity of care in online health communities.
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Affiliation(s)
- Yan Xuan
- Department of Nursing, Hainan Women and Children's Medical Center, Hainan, China
| | - Chaojin Guo
- Department of Nursing, Hainan Women and Children's Medical Center, Hainan, China
| | - Wei Lu
- School of Management, Hainan Medical University, Haikou, China
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Song J, Li Y, Guo X, Shen KN, Ju X. Making Mobile Health Information Advice Persuasive. J ORGAN END USER COM 2022. [DOI: 10.4018/joeuc.287573] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
As M-Health apps become more popular, users can access more mobile health information (MHI) through these platforms. Yet one preeminent question among both researchers and practitioners is how to bridge the gap between simply providing MHI and persuading users to buy into the MHI for health self-management. To solve this challenge, this study extends the Elaboration Likelihood Model to explore how to make MHI advice persuasive by identifying the important central and peripheral cues of MHI under individual difference. The proposed research model was validated through a survey. The results confirm that (1) both information matching and platform credibility, as central and peripheral cues, respectively, have significant positive effects on attitudes toward MHI, but only information matching could directly affect health behavior changes; (2) health concern significantly moderates the link between information matching and cognitive attitude and only marginally moderates the link between platform credibility and attitudes. Theoretical and practical implications are also discussed.
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Affiliation(s)
| | - Yan Li
- Harbin Institute of Technology, China
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11
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Wu J, Zuo R, He C, Xiong H, Zhao K, Hu Z. The effect of information literacy heterogeneity on epidemic spreading in information and epidemic coupled multiplex networks. PHYSICA A 2022; 596:127119. [PMID: 35342220 PMCID: PMC8936001 DOI: 10.1016/j.physa.2022.127119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 01/02/2022] [Indexed: 06/14/2023]
Abstract
With the COVID-19 pandemic, better understanding of the co-evolution of information and epidemic diffusion networks is important for pandemic-related policies. Using the microscopic Markov chain method, this study proposed an aware-susceptible-infected model (ASI) to explore the effect of information literacy on the spreading process in such multiplex networks. We first introduced a parameter that adjusts the self-protection related execution ability of aware individuals in order to emphasis the importance of protective behaviors compared to awareness in decreasing the infection probability. The model also captures individuals' heterogeneity in their information literacy. Simulation experiments found that the high information-literate individuals are more sensitive to information adoption. In addition, epidemic information can help to suppress the epidemic diffusion only when individuals' abilities of transforming awareness into actual protective behaviors attain a threshold. In communities dominated by highly literate individuals, a larger information literacy gap can improve awareness acquisition and thus help to suppress the epidemic among the whole group. By contrast, in communities dominated by low information-literate individuals, a smaller information literacy gap can better prevent the epidemic diffusion. This study contributes to the literature by revealing the importance of individuals' heterogeneity of information literacy on epidemic spreading in different communities and has implications for how to inform people when a new epidemic disease emerges.
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Affiliation(s)
- Jiang Wu
- School of Information Management, Wuhan University, Wuhan, 430072, China
- Center for Ecommerce Research and Development, Wuhan University, Wuhan, 430072, China
| | - Renxian Zuo
- School of Information Management, Wuhan University, Wuhan, 430072, China
- Center for Ecommerce Research and Development, Wuhan University, Wuhan, 430072, China
| | - Chaocheng He
- School of Information Management, Wuhan University, Wuhan, 430072, China
- Center for Ecommerce Research and Development, Wuhan University, Wuhan, 430072, China
| | - Hang Xiong
- College of Economics and Management, Huazhong Agricultural University, Wuhan, 430070, China
| | - Kang Zhao
- Tippie College of Business, The University of Iowa, Iowa City, IA 52242, USA
| | - Zhongyi Hu
- School of Information Management, Wuhan University, Wuhan, 430072, China
- Center for Ecommerce Research and Development, Wuhan University, Wuhan, 430072, China
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12
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Wang J, Zareapoor M, Chen YC, Shamsolmoali P, Xie J. What influences news learning and sharing on mobile platforms? An analysis of multi-level informational factors. LIBRARY HI TECH 2022. [DOI: 10.1108/lht-11-2021-0408] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThe purpose of the study is threefold: first, to identify what factors influence mobile users' willingness of news learning and sharing, second, to find out whether users' learning in the news platforms will affect their sharing behavior and third, to access the impact of sharing intention on actual sharing behavior on the mobile platform.Design/methodology/approachThis study proposes an influence mechanism model for examining the relationship among the factors, news learning and news sharing. The proposed mechanism includes factors at three levels: personal, interpersonal and social level. To achieve this, researchers collected data from 474 mobile news users in China to test the hypotheses. The tools SPSS 26.0 and AMOS 23.0 were used to analysis the reliability, validity, model fits and structural equation modeling (SEM), respectively.FindingsThe findings indicate that news learning on the mobile platforms is affected by self-efficacy and self-enhancement. And news sharing intention is influenced by self-efficacy, interpersonal trust, interpersonal reciprocity, online community identity and social norms positively. News sharing intention has a significant effect on news sharing behavior, but news learning has an insignificant relationship with new sharing.Originality/valueThis study provides practical guidelines for mobile platform operators and news media managers by explicating the various factors of users' engagement on the news platforms. This paper also enriches the literature of news learning and news sharing on mobile by the integration of two theories: the social ecology theory and the interpersonal behavior theory.
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Ngai CSB, Singh RG, Lu W, Yao L, Koon AC. Exploring the Relationship Between Trust-Building Strategies and Public Engagement on Social Media During the COVID-19 Outbreak. HEALTH COMMUNICATION 2022:1-17. [PMID: 35473490 DOI: 10.1080/10410236.2022.2055261] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Communication is critical in a new health emergency because it motivates the public to take preventive actions. Prior research has shown that strategies including source credibility, information transparency and uncertainty reduction actions could enhance trust in health communication on social media. Yet research on how the government in China used these trust-building strategies to engage the public during the outbreak of COVID-19 is limited. Therefore, our exploratory study developed an integrated framework for conducting quantitative content analysis to examine how the most popular government-owned newspaper in China, People's Daily, utilized a major social media platform, to engage the public. Our findings showed that accessibility to external links, provision of emotional support, and information on skills and resources were associated with increased public engagement with government COVID-19 posts. Insights gained can enable public health organizations and governments to focus on specific strategies to enhance public engagement.
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Affiliation(s)
- Cindy Sing Bik Ngai
- The Department of Chinese and Bilingual Studies, Hong Kong Polytechnic University
| | | | - Wenze Lu
- The Department of Chinese and Bilingual Studies, Hong Kong Polytechnic University
| | - Le Yao
- Faculty of Humanities, Hong Kong Polytechnic University
| | - Alex Chun Koon
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong
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14
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Influence of social support on individual health knowledge adoption in online diabetes communities: the mediating role between cognition and emotion. ASLIB J INFORM MANAG 2022. [DOI: 10.1108/ajim-10-2021-0287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeTo address the problem of how to guide and promote health knowledge adoption, based on online diabetes communities, this study explores the impact mechanism of social support on users' individual health knowledge adoption to provide insights for online diabetes community management and personal health management.Design/methodology/approachIntegrating the theories of cognitive-affective personality system (CAPS) and social support, this study constructs a theoretical model, collects data through a questionnaire and uses a structural equation model to analyse 356 data.FindingsThe results show that: (1) Considering the online diabetes communities, it is reasonable to divide social support into emotional, information, network and respect support. (2) Social support affects individual health knowledge adoption through the intermediaries of knowledge argument quality, knowledge source credibility and positive emotions. (3) The order of the mediating effect of cognitive and emotional factors between social support and health knowledge adoption is knowledge argument quality > knowledge source credibility > positive emotions and rationality > sensibility. (4) Users pay more attention to the source credibility of professional health knowledge than that of experiential health knowledge.Originality/valueThis research expands the application scope of CAPS and opens the “black box” of the impact of social support on individual health knowledge adoption behaviour. Simultaneously, the dimensions of social support and the mediating effect between social support and the two types of health knowledge are discussed.
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The influence of social Q&A systems on consumers' purchase intention: an empirical study based on Taobao's “Ask Everyone”. INFORMATION TECHNOLOGY & PEOPLE 2022. [DOI: 10.1108/itp-10-2019-0568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeSocial question and answer (Q&A) systems have been rapidly developed on many e-commerce websites. The purpose of this paper is to explore how social Q&A systems influence consumers' information processing and purchase intention.Design/methodology/approachThe authors design this research based on the information adoption model (IAM). First, the auhors consider the impacts of the central route (information factor) and peripheral route (social factor) on consumers' perception of information usefulness in Q&A systems. Then, the authors verify the influence of information and social aspects on purchase intention and empirically test the model with structural equation modelling (SEM) using 428 effective data samples.FindingsOn the whole, the authors prove that purchase intention is influenced by information and social aspects, which are two paths in Q&A systems. Specifically, both answer quality and social presence positively influence information usefulness. Interestingly, respondent credibility and answer consistency do not significantly impact information usefulness. Moreover, information usefulness positively affects information adoption, which positively affects consumer purchase intention.Practical implicationsThis paper provides insights on social Q&A system mechanism design.Originality/valueFirst, this paper is a useful complement to the research on social Q&A systems on e-commerce websites. Second, the authors provide a new theoretical lens through which the impacts of social Q&A systems on e-commerce websites are understood by extending the IAM. Third, the authors add answer consistency into original information process routes, which obtains a finding that is different from those of prior research.
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Gomez-Vasquez L, Romero-Hall E, Jaramillo Cherrez N, Ghani S, Rodriguez A, Ripine C. Keeping Citizens Informed and Engaged During the COVID-19 Pandemic Using #YoMeInformoPMA: A Case from Latin America. HEALTH COMMUNICATION 2022:1-8. [PMID: 35156479 DOI: 10.1080/10410236.2022.2035509] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Social media platforms contribute to the dissemination of information and encourage communication between health agencies and the public, especially during health crises. Public health agencies must engage in carefully crafted educational, communicative, and interactive practices to be effective in their messaging to build relationships with the public. Using quantitative content, social network, and thematic analysis, this study examined 2,500 tweets from April to August 2020 that included the hashtag #YoMeInformoPMA. Panama's Public Health Ministry created the #YoMeInformoPMA hashtag to keep citizens informed and engaged during the COVID-19 pandemic. Research on social media use and implementation in Latin America during the COVID-19 pandemic, to inform and engage the public, is limited. Therefore, the aim of this investigation was to analyze strategies, themes, multimedia formats, key actors, and overall communications patterns of a Latin American health community hashtag. Our results determined that actors using the hashtag #YoMeInformoPMA mainly used an interactive strategy, a message that aims to promote casual conversations, advice, and problem-solving. Findings highlighted evidence of a communication strategy by specific actors in this network, supporting recent studies that indicate engagement between the public and health agencies can take place on social media. Practical implications and recommendations for communication preparation via social media for future health crises are discussed.
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Li H, Mu D, Wang P, Li Y, Wang D. Prediction of Obstetric Patient Flow and Horizontal Allocation of Medical Resources Based on Time Series Analysis. Front Public Health 2021; 9:646157. [PMID: 34738002 PMCID: PMC8562385 DOI: 10.3389/fpubh.2021.646157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 09/08/2021] [Indexed: 11/26/2022] Open
Abstract
Objective: Given the ever-changing flow of obstetric patients in the hospital, how the government and hospital management plan and allocate medical resources has become an important problem that needs to be urgently solved. In this study a prediction method for calculating the monthly and daily flow of patients based on time series is proposed to provide decision support for government and hospital management. Methods: The historical patient flow data from the Department of Obstetrics and Gynecology of the First Hospital of Jilin University, China, from January 1, 2018, to February 29, 2020, were used as the training set. Seven models such as XGBoost, SVM, RF, and NNAR were used to predict the daily patient flow in the next 14 days. The HoltWinters model is then used to predict the monthly flow of patients over the next year. Results: The results of this analysis and prediction model showed that the obstetric inpatient flow was not a purely random process, and that patient flow was not only accompanied by the random patient flow but also showed a trend change and seasonal change rule. ACF,PACF,Ljung_box, and residual histogram were then used to verify the accuracy of the prediction model, and the results show that the Holtwiners model was optimal. R2, MAPE, and other indicators were used to measure the accuracy of the 14 day prediction model, and the results showed that HoltWinters and STL prediction models achieved high accuracy. Conclusion: In this paper, the time series model was used to analyze the trend and seasonal changes of obstetric patient flow and predict the patient flow in the next 14 days and 12 months. On this basis, combined with the trend and seasonal changes of obstetric patient flow, a more reasonable and fair horizontal allocation scheme of medical resources is proposed, combined with the prediction of patient flow.
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Affiliation(s)
- Hua Li
- Department of Abdominal Ultrasound, First Affiliated Hospital of Jilin University, Changchun, China.,School of Public Health, Jilin University, Changchun, China
| | - Dongmei Mu
- School of Public Health, Jilin University, Changchun, China.,Department of Clinical Laboratory, First Affiliated Hospital of Jilin University, Changchun, China
| | - Ping Wang
- School of Public Health, Jilin University, Changchun, China
| | - Yin Li
- School of Public Health, Jilin University, Changchun, China
| | - Dongxuan Wang
- Department of Abdominal Ultrasound, First Affiliated Hospital of Jilin University, Changchun, China
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18
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Rocha GC, Paiva HM, Sanches DG, Fiks D, Castro RM, Silva LFAE. Information system for epidemic control: a computational solution addressing successful experiences and main challenges. LIBRARY HI TECH 2021. [DOI: 10.1108/lht-11-2020-0276] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PurposeThe SARS-CoV-2 pandemic has caused a major impact on worldwide public health and economics. The lessons learned from the successful attempts to contain the pandemic escalation revealed that the wise usage of contact tracing and information systems can widely help the containment work of any contagious disease. In this context, this paper investigates other researches on this domain, as well as the main issues related to the practical implementation of such systems and specifies a technical solution.Design/methodology/approachThe proposed solution is based on the automatic identification of relevant contacts between infected or suspected people with susceptible people; inference of contamination risk based on symptoms history, user navigation records and contact information; real-time georeferenced information of population density of infected or suspect people; and automatic individual social distancing recommendation calculated through the individual contamination risk and the worsening of clinical condition risk.FindingsThe solution was specified, prototyped and evaluated by potential users and health authorities. The proposed solution has the potential of becoming a reference on how to coordinate the efforts of health authorities and the population on epidemic control.Originality/valueThis paper proposed an original information system for epidemic control which was applied for the SARS-CoV-2 pandemic and could be easily extended to other epidemics.
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Abstract
PurposeThis paper aims to identify consumers' health information consultation patterns by analyzing information sources to better understand consumers' health information needs and behavior in the context of multisource health information.Design/methodology/approachHaodaifu Online, an online health consultation (OHC) website in China, was used as a research data source, and 20,000 consultation cases were collected from the website with Python. After screening and cleaning, 1,601 consultation cases were included in this study. A content analysis-based mixed-methods research approach was applied to analyze these cases.FindingsThe results indicate that with the participation of OHC, there are 15 patterns of consumer health information consultation. Besides OHC, health information sources reported by consumers included medical institutions family/friends and the Internet. Consumers consult on a wide range of health issues including surgical conditions obstetrical and gynecological conditions and other 20 subjects. Consumers have multiple information needs when using OHC: getting prescriptions, diagnosing diseases, making appointments, understanding illnesses, confirming diagnoses and reviewing costs. Through further analysis it was found that consumers’ health information consultation patterns were also significantly different in health issues and health information needs.Originality/valueThis study broadens one’s understanding of consumer health information behavior, which contributes to the field of health information behavior, and also provides insight for OHC stakeholders to improve their services.
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20
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An empirical investigation of precursors influencing social media health information behaviors and personal healthcare habits during coronavirus (COVID-19) pandemic. INFORMATION DISCOVERY AND DELIVERY 2020. [DOI: 10.1108/idd-06-2020-0070] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
Drawing upon the communicative ecology theory (CET), this study aims to identify the potential precursors of social media health information seeking intentions (ISI) and examine their effects on health information re-sharing behaviors and PHH during coronavirus (COVID-19) pandemic.
Design/methodology/approach
The data is collected through an online survey conducted in two different universities situated in highly COVID-19-affected cities – Wuhan and Zhengzhou, China. The valid data consists of 230 useful responses from WeChat users and to analyze the final data set structural equation modeling (SEM) is used.
Findings
The results indicate that perceived health information credibility (PIC), trust on the medium (TRM) and peer influence (PI) significantly affect health ISI which further affects health information re-sharing behaviors (IRB) and personal health-care habits (PHH). Besides, the results also identify that PI has a direct, positive and significant effect on health IRB via social media during the COVID-19 pandemic.
Research limitations/implications
This study investigates the health information intentional behavior precursors and their consequences via WeChat (taken as social media platform) during COVID-19 pandemic. Future studies may conduct research by examining online information behaviors on other social media platforms – Twitter, WhatsApp, Facebook, etc. – in health emergency situations.
Practical implications
The health information producers and providers have to deal with communicative ecology sentiments elegantly in emergency situations such as during the COVID-19 pandemic. They need to do collective efforts by introducing new tools or social apps which deal with valuable, reliable and accurate health content and information generated by the pandemic experts and health professionals. In such a way, the social apps and tools (Information providers) will act as mediators between the health professionals (Information producers) and general social media users (information seekers). Such initiatives will ultimately bring forth positive effect on individuals’ PHH as a whole within a network, community, environment or nations during a health emergency – COVID-19 pandemic.
Originality/value
This research is one of the first studies to examine the potential precursors of social media health ISIs and their resultant effects on individual’s health IRB and PHH during the COVID-19 pandemic. As currently it is noticed, an incredible upsurge of health information via social media has intense impacts on personal health-care research and practice, particularly during health emergency situations such as COVID-19 pandemic conditions.
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21
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Ngai CSB, Singh RG, Lu W, Koon AC. Grappling With the COVID-19 Health Crisis: Content Analysis of Communication Strategies and Their Effects on Public Engagement on Social Media. J Med Internet Res 2020; 22:e21360. [PMID: 32750013 PMCID: PMC7446717 DOI: 10.2196/21360] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 07/29/2020] [Accepted: 08/03/2020] [Indexed: 01/23/2023] Open
Abstract
Background The coronavirus disease (COVID-19) has posed an unprecedented challenge to governments worldwide. Effective government communication of COVID-19 information with the public is of crucial importance. Objective We investigate how the most-read state-owned newspaper in China, People’s Daily, used an online social networking site, Sina Weibo, to communicate about COVID-19 and whether this could engage the public. The objective of this study is to develop an integrated framework to examine the content, message style, and interactive features of COVID-19–related posts and determine their effects on public engagement in the largest social media network in China. Methods Content analysis was employed to scrutinize 608 COVID-19 posts, and coding was performed on three main dimensions: content, message style, and interactive features. The content dimension was coded into six subdimensions: action, new evidence, reassurance, disease prevention, health care services, and uncertainty, and the style dimension was coded into the subdimensions of narrative and nonnarrative. As for interactive features, they were coded into links to external sources, use of hashtags, use of questions to solicit feedback, and use of multimedia. Public engagement was measured in the form of the number of shares, comments, and likes on the People’s Daily’s Sina Weibo account from January 20, 2020, to March 11, 2020, to reveal the association between different levels of public engagement and communication strategies. A one-way analysis of variance followed by a post-hoc Tukey test and negative binomial regression analysis were employed to generate the results. Results We found that although the content frames of action, new evidence, and reassurance delivered in a nonnarrative style were predominant in COVID-19 communication by the government, posts related to new evidence and a nonnarrative style were strong negative predictors of the number of shares. In terms of generating a high number of shares, it was found that disease prevention posts delivered in a narrative style were able to achieve this purpose. Additionally, an interaction effect was found between content and style. The use of a narrative style in disease prevention posts had a significant positive effect on generating comments and likes by the Chinese public, while links to external sources fostered sharing. Conclusions These results have implications for governments, health organizations, medical professionals, the media, and researchers on their epidemic communication to engage the public. Selecting suitable communication strategies may foster active liking and sharing of posts on social media, which in turn, might raise the public’s awareness of COVID-19 and motivate them to take preventive measures. The sharing of COVID-19 posts is particularly important because this action can reach out to a large audience, potentially helping to contain the spread of the virus.
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Affiliation(s)
- Cindy Sing Bik Ngai
- The Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, Hong Kong (China)
| | - Rita Gill Singh
- The Language Centre, Hong Kong Baptist University, Hong Kong, Hong Kong (China)
| | - Wenze Lu
- The Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, Hong Kong (China)
| | - Alex Chun Koon
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong (China)
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22
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Ghezzi P, Bannister PG, Casino G, Catalani A, Goldman M, Morley J, Neunez M, Prados-Bo A, Smeesters PR, Taddeo M, Vanzolini T, Floridi L. Online Information of Vaccines: Information Quality, Not Only Privacy, Is an Ethical Responsibility of Search Engines. Front Med (Lausanne) 2020; 7:400. [PMID: 32850905 PMCID: PMC7431660 DOI: 10.3389/fmed.2020.00400] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 06/26/2020] [Indexed: 11/13/2022] Open
Abstract
The fact that Internet companies may record our personal data and track our online behavior for commercial or political purpose has emphasized aspects related to online privacy. This has also led to the development of search engines that promise no tracking and privacy. Search engines also have a major role in spreading low-quality health information such as that of anti-vaccine websites. This study investigates the relationship between search engines' approach to privacy and the scientific quality of the information they return. We analyzed the first 30 webpages returned searching "vaccines autism" in English, Spanish, Italian, and French. The results show that not only "alternative" search engines (Duckduckgo, Ecosia, Qwant, Swisscows, and Mojeek) but also other commercial engines (Bing, Yahoo) often return more anti-vaccine pages (10-53%) than Google.com (0%). Some localized versions of Google, however, returned more anti-vaccine webpages (up to 10%) than Google.com. Health information returned by search engines has an impact on public health and, specifically, in the acceptance of vaccines. The issue of information quality when seeking information for making health-related decisions also impact the ethical aspect represented by the right to an informed consent. Our study suggests that designing a search engine that is privacy savvy and avoids issues with filter bubbles that can result from user-tracking is necessary but insufficient; instead, mechanisms should be developed to test search engines from the perspective of information quality (particularly for health-related webpages) before they can be deemed trustworthy providers of public health information.
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Affiliation(s)
- Pietro Ghezzi
- Brighton & Sussex Medical School, Brighton, United Kingdom
| | | | - Gonzalo Casino
- Communication Department, Pompeu Fabra University, Barcelona, Spain.,Iberoamerican Cochrane Center, Barcelona, Spain
| | - Alessia Catalani
- Department of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy
| | - Michel Goldman
- Institute for Interdisciplinary Innovation in Healthcare (I3h), Université Libre de Bruxelles, Brussels, Belgium
| | - Jessica Morley
- Oxford Internet Institute, University of Oxford, Oxford, United Kingdom
| | - Marie Neunez
- Institute for Interdisciplinary Innovation in Healthcare (I3h), Université Libre de Bruxelles, Brussels, Belgium
| | - Andreu Prados-Bo
- Communication Department, Pompeu Fabra University, Barcelona, Spain.,Blanquerna School of Health Sciences, Ramon Llull University, Barcelona, Spain
| | - Pierre R Smeesters
- Molecular Bacteriology Laboratory, Université Libre de Bruxelles, Brussels, Belgium.,Academic Children Hospital Queen Fabiola, Université libre de Bruxelles, Brussels, Belgium
| | - Mariarosaria Taddeo
- Oxford Internet Institute, University of Oxford, Oxford, United Kingdom.,The Alan Turing Institute, London, United Kingdom
| | - Tania Vanzolini
- Department of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy
| | - Luciano Floridi
- Oxford Internet Institute, University of Oxford, Oxford, United Kingdom.,The Alan Turing Institute, London, United Kingdom
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23
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Morley J, Cowls J, Taddeo M, Floridi L. Public Health in the Information Age: Recognizing the Infosphere as a Social Determinant of Health. J Med Internet Res 2020; 22:e19311. [PMID: 32648850 PMCID: PMC7402642 DOI: 10.2196/19311] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 06/11/2020] [Accepted: 07/08/2020] [Indexed: 02/07/2023] Open
Abstract
Since 2016, social media companies and news providers have come under pressure to tackle the spread of political mis- and disinformation (MDI) online. However, despite evidence that online health MDI (on the web, on social media, and within mobile apps) also has negative real-world effects, there has been a lack of comparable action by either online service providers or state-sponsored public health bodies. We argue that this is problematic and seek to answer three questions: why has so little been done to control the flow of, and exposure to, health MDI online; how might more robust action be justified; and what specific, newly justified actions are needed to curb the flow of, and exposure to, online health MDI? In answering these questions, we show that four ethical concerns-related to paternalism, autonomy, freedom of speech, and pluralism-are partly responsible for the lack of intervention. We then suggest that these concerns can be overcome by relying on four arguments: (1) education is necessary but insufficient to curb the circulation of health MDI, (2) there is precedent for state control of internet content in other domains, (3) network dynamics adversely affect the spread of accurate health information, and (4) justice is best served by protecting those susceptible to inaccurate health information. These arguments provide a strong case for classifying the quality of the infosphere as a social determinant of health, thus making its protection a public health responsibility. In addition, they offer a strong justification for working to overcome the ethical concerns associated with state-led intervention in the infosphere to protect public health.
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Affiliation(s)
- Jessica Morley
- Oxford Internet Institute, University of Oxford, Oxford, United Kingdom
| | - Josh Cowls
- Oxford Internet Institute, University of Oxford, Oxford, United Kingdom
- Alan Turing Institute, London, United Kingdom
| | - Mariarosaria Taddeo
- Oxford Internet Institute, University of Oxford, Oxford, United Kingdom
- Alan Turing Institute, London, United Kingdom
| | - Luciano Floridi
- Oxford Internet Institute, University of Oxford, Oxford, United Kingdom
- Alan Turing Institute, London, United Kingdom
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24
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Alsisi EA, Al-Ashaab A, Abualfaraa WA. The Development of a Smart Health Awareness Message Framework Based on the Use of Social Media: Quantitative Study. J Med Internet Res 2020; 22:e16212. [PMID: 32459627 PMCID: PMC7413284 DOI: 10.2196/16212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 11/27/2019] [Accepted: 02/06/2020] [Indexed: 11/17/2022] Open
Abstract
Background Social media has recently provided a remarkable means of delivering health information broadly and in a cost-effective way. Despite its benefits, some difficulties are encountered in attempting to influence the public to change their behavior in response to social media health messages. Objective This study aimed to explore the factors that affect individuals’ acceptance of using social media as a tool for receiving health awareness messages and adapting such content accordingly by developing a smart health awareness message framework. Methods A quantitative method was adapted to validate the hypotheses and proposed framework through the development of a survey based on the technology acceptance model with the extension of other constructs. The survey was distributed on the web to 701 participants from different countries via Qualtrics software; it generated 391 completed questionnaires, and the response rate was 55.8% (391/701). Results Of the 391 respondents, 121 (30.9%) used social media platforms often during the week, and 27 participants (6.9%) did not use social media. In addition, 24.0% (94/391) of the respondents used these platforms to seek health information. On the basis of the results, perceived usefulness (β=.37; P<.001), gain-framed message (β=.04; P<.001), and loss-framed message (β=.08; P<.001) were seen to positively and significantly influence people’s intention to use social media as a means to spread information about health promotion. The proposed smart health awareness message framework identifies 64.2% of the variance in intention to use, 55.4% of the variance of perceived usefulness, and 26.2% of the variance of perceived ease of use. Conclusions This study sheds light on the factors that are associated with people’s intention to use and adopt social media in the health promotion domain. The findings reveal that the intention of using social media for health awareness purposes is positively impacted by the perception of usefulness of social media and the design of health messages. Future research might seek to explore other factors that relate to people’s behavior. This point of view will assist health organizations in developing their health messages more effectively and to be patient friendly.
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25
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Wang C, Mei J, Feng J. Exploring influencing factors of offline knowledge service transactions on an online-to-offline knowledge-sharing economy platform. JOURNAL OF KNOWLEDGE MANAGEMENT 2020. [DOI: 10.1108/jkm-12-2019-0702] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
Online-to-offline (O2O) knowledge-sharing economy platforms have emerged as a new public channel for matching up knowledge providers with knowledge seekers. It can facilitate offline provision and consumption of high-quality tacit knowledge around a topic upon online search and payment (called offline knowledge service transaction). However, limited research investigated this new knowledge-sharing phenomenon in the field of knowledge management (KM). The purpose of this paper is to enrich KM literature by developing a theoretical model to explore determinants of offline knowledge service transactions via O2O knowledge-sharing economy platforms from both quality and price perspectives.
Design/methodology/approach
The model was tested with objective data crawled from Zaihang – a leading O2O knowledge-sharing economy platform in China.
Findings
The results show that, in the context of O2O knowledge-sharing economy, transactions of an offline knowledge service are positively related to its provider’s popularity, but negatively related to the price. Moreover, knowledge seekers are more likely to accept and purchase a high-priced service of a knowledge topic with a higher overall review score and supplied by a provider with lower popularity and shorter response time. However, the length of offline knowledge service has no significant association with its transactions.
Originality/value
This study contributes to KM literature through investigating a new phenomenon of tacit knowledge sharing (including provision and consumption) in the context of O2O service and the sharing economy. The results give implications for knowledge providers and platform managers to facilitate online transactions of offline knowledge services.
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Ding MH, Ye YL, Yan L. Mediating role of self-efficacy in social support and health-promoting lifestyle between elderly patients with functional dyspepsia. Shijie Huaren Xiaohua Zazhi 2020; 28:197-202. [DOI: 10.11569/wcjd.v28.i5.197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Both self-efficacy and social support can affect a patient's health. At present, there are few studies on elderly patients with functional dyspepsia (FD) from the perspective of self-efficacy and social support. Therefore, this study explored the mediating role of self-efficacy between social support and health-promoting lifestyle of elderly FD patients, and provided an objective basis for clinical work to improve the health level of elderly FD patients.
AIM To investigate the mediating effect of self-efficacy on social support and health-promoting lifestyle in elderly patients with FD.
METHODS One hundred and sixty-two elderly patients with FD who were hospitalized at Jinhua Second Hospital of Zhejiang Province from October 2018 to October 2019 were selected for the survey using the general self-efficacy questionnaire, social support scale, and health promotion lifestyle scale.
RESULTS The total social support score in elderly FD patients was 37.65 ± 6.58, which was at the moderate level. The total score of the general self-efficacy scale was 27.62 ± 5.48, which was moderate. The total score of the health promotion lifestyle scale was 120.85 ± 20.73, which was at the fair level. Pearson correlation analysis showed that health promotion lifestyle, social support, and self-efficacy were positively correlated (P < 0.05), and total score of social support, objective support dimension, and general self-efficacy were positively correlated (P < 0.01). Stratified regression analysis was performed with self-efficacy as the mediating variable, social support as the independent variable, and health-promoting lifestyle as the dependent variable. The estimated mediating effect was 0.175 (0.458 × 0.384), accounting for 28.87% [(0.458 × 0.384)/(0.458 × 0.384 + 0.431)]. The results showed that all of the standardized regression coefficients reached significant levels (P < 0.01), indicating that self-efficacy had an intermediary effect between social support and health promotion in elderly FD patients. Based on multivariate linear regression analysis, adopting the percentile inspection sampling methods and taking the confidence interval of 95% using the Bootstrap method to test the mediation effect of self-efficacy, the results showed that the 95% confidence interval of the mediating effect of self-efficacy was 0.115-0.223 (P < 0.05), suggesting a mediating role for self-efficacy between social support and health promoting lifestyle.
CONCLUSION Social support, self-efficacy, and health-promoting lifestyle of elderly FD patients are at the moderate or fair level. Self-efficacy is a partial mediator between social support and health promotion. Therefore, in clinical work, medical staff should strengthen the social support in elderly FD patients and improve their self-efficacy to improve their health promotion lifestyle level and health.
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Affiliation(s)
- Miao-Hui Ding
- Jinhua Second Hospital, Jinhua 322000, Zhejiang Province, China
| | - Ya-Ling Ye
- Jinhua Second Hospital, Jinhua 322000, Zhejiang Province, China
| | - Li Yan
- Jinhua Second Hospital, Jinhua 322000, Zhejiang Province, China
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