The divided communities of shared concerns: Mapping the intellectual structure of e-Health research in social science journals

Jiang, Li; Wang, Zhen Zhen; Peng, Tai‐Quan; Zhu, Jonathan J. H.

doi:10.1016/j.ijmedinf.2014.09.003

Cited by 28 publications

(21 citation statements)

References 30 publications

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“…Recently, eHealth has received a great deal of attention in social sciences, in the domain of Internet studies. However, only 3% of these studies focus on the acceptability of eHealth to consumers, making consumers’ subjective evaluations an understudied domain [ 17 ]. This study will address this gap by focusing on the acceptance of preventive eHealth services from the consumer point of view.…”

Section: Introductionmentioning

confidence: 99%

Consumer Adoption of Future MyData-Based Preventive eHealth Services: An Acceptance Model and Survey Study

Koivumäki¹,

Pekkarinen²,

Lappi³

et al. 2017

J Med Internet Res

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BackgroundConstantly increasing health care costs have led countries and health care providers to the point where health care systems must be reinvented. Consequently, electronic health (eHealth) has recently received a great deal of attention in social sciences in the domain of Internet studies. However, only a fraction of these studies focuses on the acceptability of eHealth, making consumers’ subjective evaluation an understudied field. This study will address this gap by focusing on the acceptance of MyData-based preventive eHealth services from the consumer point of view. We are adopting the term "MyData", which according to a White Paper of the Finnish Ministry of Transport and Communication refers to "1) a new approach, a paradigm shift in personal data management and processing that seeks to transform the current organization centric system to a human centric system, 2) to personal data as a resource that the individual can access and control." ObjectiveThe aim of this study was to investigate what factors influence consumers’ intentions to use a MyData-based preventive eHealth service before use.MethodsWe applied a new adoption model combining Venkatesh’s unified theory of acceptance and use of technology 2 (UTAUT2) in a consumer context and three constructs from health behavior theories, namely threat appraisals, self-efficacy, and perceived barriers. To test the research model, we applied structural equation modeling (SEM) with Mplus software, version 7.4. A Web-based survey was administered. We collected 855 responses.ResultsWe first applied traditional SEM for the research model, which was not statistically significant. We then tested for possible heterogeneity in the data by running a mixture analysis. We found that heterogeneity was not the cause for the poor performance of the research model. Thus, we moved on to model-generating SEM and ended up with a statistically significant empirical model (root mean square error of approximation [RMSEA] 0.051, Tucker-Lewis index [TLI] 0.906, comparative fit index [CFI] 0.915, and standardized root mean square residual 0.062). According to our empirical model, the statistically significant drivers for behavioral intention were effort expectancy (beta=.191, P<.001), self-efficacy (beta=.449, P<.001), threat appraisals (beta=.416, P<.001), and perceived barriers (beta=−.212, P=.009).ConclusionsOur research highlighted the importance of health-related factors when it comes to eHealth technology adoption in the consumer context. Emphasis should especially be placed on efforts to increase consumers’ self-efficacy in eHealth technology use and in supporting healthy behavior.

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Section: Introductionmentioning

confidence: 99%

Consumer Adoption of Future MyData-Based Preventive eHealth Services: An Acceptance Model and Survey Study

Koivumäki¹,

Pekkarinen²,

Lappi³

et al. 2017

J Med Internet Res

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show abstract

“…Medical researchers have made increasing use of computer techniques to analyze large datasets of publications and citations in order to characterize and map the structure of scientific fields and their development over time (Jones et al 2011;Armfield et al 2014;Chen et al 2014a, b;Jiang et al 2015), even to model the dissemination of scientific ideas and identify characteristics of publication patterns that suggest whether an idea or innovation has reached a crucial phase transition (Yao et al 2014a, b;Winnink and Tijssen 2014;Kim et al 2014;Chida et al 2014;Cheng and Zhao 2014;Gøeg et al 2014;Ye et al 2014). Analysis of citation data helps define the field at issue by highlighting various areas of research and its future directions (Small 1981).…”

Section: Introductionmentioning

confidence: 99%

Visualizing the structure and the evolving of digital medicine: a scientometrics review

Fang

2015

Scientometrics

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This article aims to analyze and visualize the structure and the emerging trend of digital medicine, a new medical pattern of twenty-first century. Our study objectively explores the document co-citation clusters of 6060 bibliographic records to identify the origin of digital medicine and the hot research specialty of domain. Pivotal point articles, prominent authors, active disciplines and institution have been identified by network analysis theory. CiteSpace was used to visualize the perspective of digital medicine domain. As an interdiscipline which integrated computer science, information engineering with medicine, digital medicine originally and mainly on digital medical imaging technology research for accuracy and speedy clinical diagnosis and therapy. Of 6060 relevant records reviewed, 1719 (28 %) are on radiology, 902 (15 %) are on engineering, 539 (9 %) are on computer science. The largest co-citation cluster is on digital tomosynthesis. The earliest cluster is on medical imaging segmentation and registration. Post-processing imaging technology, detector, phase contrast, reversible watermarking, input, model 3D reconstruct, real-time dynamic imaging, dosimetry have been the hot research topics. The recently cluster is on internet health information. Harvard University of USA is the prominent institution. The coverage of digital medicine research is widely from clinic to laboratory. Recent year, domain research front is thematically on teleradiology, telemedicine and hospital information management system.

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“…El continuo desarrollo de las Tecnologías de la Información y la Comunicación (TIC) ha generado grandes cambios en las formas en la que las personas interactúan con la información de salud, los profesionales de la salud y el sistema sanitario (Jiang, et al, 2014). De modo que, el concepto "e-Health" (e-salud) se refiere a la organización, entrega y consumo de servicios e información de salud a través de internet y tecnologías relacionadas.…”

Section: Comunicación De Salud Redes Sociales Y Cáncerunclassified

Informar y concienciar sobre cáncer. El caso de la Asociación Española Contra el Cáncer en Facebook

Gómez

Díaz-Campo

2018

MEDCOM

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Fernández-Gómez, E. y Díaz-Campo, J. (2018 Resumen Abstract El cáncer es una de las principales causas de mortalidad en todo el mundo. En España es la segunda causa de mortalidad, solo por detrás de las enfermedades cardiovasculares. En los últimos años, la labor de la Asociación Española Contra el Cáncer (AECC) se ha trasladado a las redes sociales. Esta investigación analiza cómo la AECC informa y conciencia sobre esta enfermedad en Facebook -la red más usada por los españoles-. La muestra está compuesta por los post de carácter informativo publicados durante tres meses. Los resultados muestran como la estrategia de información en esta red social se basa en comunicar las actividades de la asociación así como promover cambios de comportamiento que incluye adoptar hábitos de vida saludable. Las publicaciones realizadas no mencionan esta enfermedad o bien lo hacen de forma genérica. El recurso más utilizado es el enlace a la web propia de la asociación junto a la inclusión de la imagen. Por último, los seguidores prefieren la opción me gusta o compartir el mensaje más que el comentarlo. Cancer is one of the leading causes of mortality worldwide. In Spain it is second only to cardiovascular disease as the greatest cause of mortality. In recent years, the work of the Spanish Association against Cancer (AECC) has been transferred onto social media. This research analyses how the AECC informs and raises awareness of this disease on

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The divided communities of shared concerns: Mapping the intellectual structure of e-Health research in social science journals

Cited by 28 publications

References 30 publications

Consumer Adoption of Future MyData-Based Preventive eHealth Services: An Acceptance Model and Survey Study

Consumer Adoption of Future MyData-Based Preventive eHealth Services: An Acceptance Model and Survey Study

Visualizing the structure and the evolving of digital medicine: a scientometrics review

Informar y concienciar sobre cáncer. El caso de la Asociación Española Contra el Cáncer en Facebook

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