Analysis of the Factors Affecting Consumer Acceptance of Accredited Online Health Information

Jo, Heui Sug; Song, Tae Min; Kim, Bong Gi

doi:10.3346/jkms.2017.32.11.1757

Cited by 11 publications

(9 citation statements)

References 17 publications

(21 reference statements)

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“…This result confirms the studies that consider effectiveness the major contributor or even equivalent to user satisfaction, generally, in information systems [14,51,52]. More specifically, this study parallels the studies that reported effectiveness (sometimes expressed as usefulness) as the most, or one of the most, influential qualities for the satisfaction of patients [53] or health professional users [54-56] in a variety of health information systems. Nevertheless, there exist studies that reached a different conclusion in prioritizing the most influential qualities [57].…”

Section: Discussionsupporting

confidence: 86%

“…However, to the best of our knowledge, the studies on health information systems that suggest a kind of satisfaction index with adjusted weights regarding other qualities are limited. Conversely, the studies that have calculated the parameters of TAM or D&M IS models in their contexts or have used a path model that includes user satisfaction alongside other impacted qualities, such as studies by Jo et al, Schaper et al, and Pai et al [53,56,69], implicitly suggest a kind of indexing for adoption and satisfaction aspects. Nevertheless, there are barriers to utilizing the measures suggested for the satisfaction construct.…”

Section: Discussionmentioning

confidence: 99%

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Most Influential Qualities in Creating Satisfaction Among the Users of Health Information Systems: Study in Seven European Union Countries

et al. 2018

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BackgroundSeveral models suggest how the qualities of a product or service influence user satisfaction. Models such as the Customer Satisfaction Index (CSI), Technology Acceptance Model (TAM), and Delone and McLean Information Systems Success demonstrate those relations and have been used in the context of health information systems.ObjectiveThis study aimed to investigate which qualities foster greater satisfaction among patient and professional users. In addition, we are interested in knowing to what extent improvement in those qualities can explain user satisfaction and whether this makes user satisfaction a proxy indicator of those qualities.MethodsThe Unified eValuation using ONtology (UVON) method was used to construct an ontology of the required qualities for 7 electronic health (eHealth) apps being developed in the Future Internet Social and Technological Alignment Research (FI-STAR) project, a European Union (EU) project in electronic health (eHealth). The eHealth apps were deployed across 7 EU countries. The ontology included and unified the required qualities of those systems together with the aspects suggested by the Model for ASsessment of Telemedicine apps (MAST) evaluation framework. Moreover, 2 similar questionnaires for 87 patient users and 31 health professional users were elicited from the ontology. In the questionnaires, the user was asked if the system has improved the specified qualities and if the user was satisfied with the system. The results were analyzed using Kendall correlation coefficients matrices, incorporating the quality and satisfaction aspects. For the next step, 2 partial least squares structural equation modeling (PLS-SEM) path models were developed using the quality and satisfaction measure variables and the latent construct variables that were suggested by the UVON method.ResultsMost of the quality aspects grouped by the UVON method are highly correlated. Strong correlations in each group suggest that the grouped qualities can be measures that reflect a latent quality construct. The PLS-SEM path analysis for the patients reveals that the effectiveness, safety, and efficiency of treatment provided by the system are the most influential qualities in achieving and predicting user satisfaction. For the professional users, effectiveness and affordability are the most influential. The parameters of the PLS-SEM that are calculated allow for the measurement of a user satisfaction index similar to CSI for similar health information systems.ConclusionsFor both patients and professionals, the effectiveness of systems highly contributes to their satisfaction. Patients care about improvements in safety and efficiency, whereas professionals care about improvements in the affordability of treatments with health information systems. User satisfaction is reflected more in the users’ evaluation of system output and fulfillment of expectations but slightly less in how far the system is from ideal. Investigating satisfaction scores can be a simple and fast way to infer if the system has improve...

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Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 99%

Most Influential Qualities in Creating Satisfaction Among the Users of Health Information Systems: Study in Seven European Union Countries

et al. 2018

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“…13 Hanson et al 14 combined four factors (attitude, behavioural intention, behavioural control and subjective norm) to predict the social media adoption behaviours of healthcare centre patients. Finally, Jo et al 15 incorporated seven factors (reliability, barriers, health consciousness, social norm, quality accreditation system, perceived ease of use and perceived usefulness) in their investigation of consumers' acceptance of health information. It is evident that the underlying factors influencing the usage of social media by Australian health consumers are yet to investigated.…”

Section: Social Media In the Australian Healthcare Industrymentioning

confidence: 99%

“…A Google search returned only three studies that applied TAM-based frameworks to understand predictors of adoption behaviours. [13][14][15] McGowan and colleagues (2012) incorporated six factors (perceived usefulness, ease of use, barriers, personal innovativeness, peer access and motivation) when examining the social media adoption behaviour of physicians. The above factors demonstrated a 57% variance in social media usage frequency.…”

Section: Social Media In the Australian Healthcare Industrymentioning

confidence: 99%

Health consumers’ social media adoption behaviours in Australia

Khan

Saleh

Quazi

et al. 2021

Health Informatics J

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This research identifies the underlying drivers impacting on health consumers’ social media usage and acceptance behaviours using technology acceptance model (TAM) as the theoretical lens. A cross-sectional survey of 265 health consumers was conducted through a mall intercept technique. Participants in the survey were over the age of 18 and had access to a public or private healthcare service provider. The data were analysed using structural equation modelling (SEM). The major findings show that perceived ease of use, privacy threat, information quality, social influence and self-efficacy influence health consumers’ social media adoption behaviours. Perceived usefulness was not found to affect health consumers’ social media adoption behaviours. The moderation analysis showed that influences of privacy threats are non-significant for mature age respondents and non-frequent users of social media. This study’s findings have important implications for designing social media strategies for the healthcare industry. The drivers that positively impact on health consumers’ social media usages can be integrated into meaningful strategies to capture the attention of potential consumers. They need to be educated, informed and engaged as health consumers so that they employ social media effectively to their advantage.

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“…[23][24][25] However, cancer-related information provided via café websites and blogs is problematic in that it is not tested for scientific merit or the influence of commercial entities posting the information for marketing purposes. 26 Anecdotal information may also be low in 7/11 https://jkms.org https://doi.org/10.3346/jkms.2020.35.e187 trustworthiness and may distort facts. Therefore, there is a need for a systematic process that allows for the sharing of appropriate information.…”

Section: Gap Between Ehealth Literacy Perceptions and Realitymentioning

confidence: 99%

Gap between Perceived eHealth Literacy and Ability to Use Online Cancer-Related Information

Kim

Park

2020

J Korean Med Sci

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Background:The effective evaluation of health information available online is an important skill. However, consumers' self-perceptions of their eHealth literacy levels do not reflect their actual capabilities. The goal of this experimental study of online search behavior is to identify differences between self-perceived eHealth literacy and actual ability to use the accuracy of cancer information available online. Methods: Thirty-one adults participated in the study conducted on July 15 and 16, 2017. We first measured perceived eHealth literacy and then asked participants 5 questions concerning cancer. Bandicam (v3.3.0) and BrowsingHistoryView were used to record search behavior and uniform resource locators, respectively. A Mann-Whitney U test and Fisher's exact test were performed. Results: The results showed that participants most frequently searched for cancer information on blogs and café websites. Regarding search behavior, those who perceived higher knowledge in available resources tended to solve the given problem with significantly smaller number of webpages to answer a weight management question. Participants who perceived higher knowledge in helpfulness of information tended to use significantly smaller number of webpages to answer questions on red ginseng's preventive effects on caner and weight management. However, there was no proof that the high eHealth literacy group had significantly higher rates of correct answers than the low eHealth literacy group. Further, regarding cancer screening, the rates of correct answers were low for groups who considered their ability higher to find helpful resources and perceived higher knowledge in helpfulness of information. Conclusion:There is a gap between perceived eHealth literacy and the actual ability to use online cancer-related information. To fundamentally improve eHealth literacy, it is important to evaluate the actual abilities concerning each eHealth literacy component and to provide customized education.

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Analysis of the Factors Affecting Consumer Acceptance of Accredited Online Health Information

Cited by 11 publications

References 17 publications

Most Influential Qualities in Creating Satisfaction Among the Users of Health Information Systems: Study in Seven European Union Countries

Most Influential Qualities in Creating Satisfaction Among the Users of Health Information Systems: Study in Seven European Union Countries

Health consumers’ social media adoption behaviours in Australia

Gap between Perceived eHealth Literacy and Ability to Use Online Cancer-Related Information

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