Consumer Health Informatics: Engaging and Empowering Patients and Families

Pandita, Deepti

doi:10.1007/978-3-030-93765-2_24

Cited by 3 publications

(2 citation statements)

References 114 publications

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“…Several reasons have been proposed for the lag in adoption in the literature, which are often contradictory with intuition; often, the results are mixed [38,54,55]. As a result, authors have urged more studies in the consumer adoption PHR area [34,37,38,56,57].…”

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confidence: 99%

The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability

Alsyouf

Lutfi

Alsubahi

et al. 2023

IJERPH

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Personal health records (PHR) systems are designed to ensure that individuals have access and control over their health information and to support them in being active participants rather than passive ones in their healthcare process. Yet, PHR systems have not yet been widely adopted or used by consumers despite their benefits. For these advantages to be realized, adoption of the system is necessary. In this study, we examined how self-determination of health management influences individuals’ intention to implement a PHR system, i.e., their ability to actively manage their health. Using an extended technology acceptance model (TAM), the researchers developed and empirically tested a model explaining public adoption of PHRs. In total, 389 Saudi Arabian respondents were surveyed in a quantitative cross-sectional design. The hypotheses were analysed using structural equation modelling–partial least squares (SEM-PLS4). Results indicate that PHR system usage was influenced by three major factors: perceived ease of use (PEOU), perceived usefulness (PU), and security towards intention to use. PHR PEOU and PHR intention to use were also found to be moderated by privacy, whereas usability positively moderated PHR PEOU and PHR intention to use and negatively moderated PHR PU and PHR intention to use. For the first time, this study examined the use of personal health records in Saudi Arabia, including the extension of the TAM model as well as development of a context-driven model that examines the relationship between privacy, security, usability, and the use of PHRs. Furthermore, this study fills a gap in the literature regarding the moderating effects of privacy influence on PEOU and intention to use. Further, the moderating effects of usability on the relationship between PEOU, PU, and intention to use. Study findings are expected to assist government agencies, health policymakers, and health organizations around the world, including Saudi Arabia, in understanding the adoption of personal health records.

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confidence: 99%

The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability

Alsyouf

Lutfi

Alsubahi

et al. 2023

IJERPH

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“…Thus, from the perspective of nursing, digital inclusion is of the utmost importance in ensuring that all patients can benefit from and thrive using digitalization, but improving patients’ empowerment and self-efficacy in digital literacy is also important. 27 , 28 …”

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confidence: 99%

Digital inclusion: A mixed-method study of user behavior and content on Twitter

Salzmann-Erikson

2023

DIGITAL HEALTH

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Objective This study is the first to explore user behavior and characterize the content shared about digital inclusion on Twitter. Methods This mixed-methods research consists of 14,000 tweets featuring the hashtag “#digitalinclusion,” posted on Twitter over 15 months. A machine learning technique, latent Dirichlet allocation, was utilized to discover abstract topics within the tweets statistically. The algorithm identified important keywords and text associated with each topic by modeling the underlying word co-occurrence patterns in the dataset. A manual qualitative content analysis was applied to the qualitative data (1000 tweets). Results Tweets containing #digitalinclusion are driven by four motives: 1) warning against the risks of digital exclusion; 2) tweets that promote actions to increase digital inclusion; 3) tweets that call for others to take action to improve digitalization; and 4) tweets that are neutral but fuel the debate by being active. Quantitative analysis revealed that users discussing digital inclusion come from various continents, including the USA, Europe, Africa, and Asia. There were 3931 unique user accounts, with individuals posting between one and 368 tweets. Approximately half of the tweets contained some embedded media. Conclusion The study concludes that digital inclusion is a subject that engages Twitter users worldwide. Tweets that were associated with community and local initiatives and sustainable development had the highest engagement in terms of the number of retweets and likes. The interpretation is that digital inclusion is crucial for achieving equity in living conditions and enhancing access to health information and services. While initiatives to increase digital inclusion are underway, Twitter users call for more efforts to prevent growing digital exclusion. Twitter, as a social media platform, is valuable for studying the motivations that drive digital inclusion and help counter digital exclusion.

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Exploring Attitudes and Obstacles around Digital Public Health Tools: Insights from Washington State's Vaccine Verification System (Preprint)

Molino,

Revere,

Hills

et al. 2024

Preprint

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BACKGROUND Development and use of digital public health tools surged during the COVID-19 pandemic. Among the tools that aimed to limit disease spread were vaccine verification systems, an alternative to paper vaccine records. In November 2021, the Washington State Department of Health launched “WA Verify”, a QR code-based vaccine verification system based on the SMART Health Card framework, which offered residents a convenient way to store and share proof of vaccination digitally. However, WA Verify was developed and disseminated before assessments of and input from the public regarding potential challenges to its adoption (concerns regarding privacy, surveillance, data sharing, trust in the technology and organizations that manage its use) could be completed. OBJECTIVE This analysis used statewide survey data from Washington State to identify and characterize barriers and facilitators to adoption of WA Verify, and understand how factors such as data privacy, security, attitudes towards public health policies, and technological proficiency may influence acceptance and uptake of digital public health tools. METHODS A statewide survey was distributed from September 2022 through January 2023 to a random sample of 5,000 Washington State households. Respondents were categorized into three groups based on responses that indicated they were WA Verify “users”, “potential users”, or “unlikely users”. Comparisons were made between groups on experiences with and opinions on COVID-19 vaccine and test verification, opinions regarding public health policies and digital tools, technological proficiency, sociodemographic characteristics, and health history. To ensure the analytical sample matched Washington State’s race/ethnicity and age-sex marginal distributions, population weights were created and applied. RESULTS Of the 1,401 respondents, 25.8% (N=359) were users, 49.8% (N=662) were potential users and 24.4% (N=380) were unlikely users. Compared to users and potential users, unlikely users were more likely to oppose policies requiring proof of COVID-19 vaccination and/or negative test results. Unlikely users were more likely to cite personal health data security and phone hacking/tracking concerns, though these were non-trivial among potential users and users. Users and potential users were more likely to agree that protecting their communities was a reason to use a digital vaccine verification system. Unlikely users were more likely to report not owning a smartphone and lower technological proficiency, indicating a technological divide between groups. CONCLUSIONS While nearly three-quarters of respondents either already adopted or were willing to adopt a digital public health tool like WA Verify, data security concerns, technological proficiency, and distrust of public health and its policies were characteristics of individuals least likely to adopt public health tools. Identifying barriers to adoption for those most likely to be “unlikely users” is essential for developing effective communication strategies such as targeted marketing, education, and community engagement to improve adoption and ensure equitable access to public health technologies.

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Consumer Health Informatics: Engaging and Empowering Patients and Families

Cited by 3 publications

References 114 publications

The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability

The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability

Digital inclusion: A mixed-method study of user behavior and content on Twitter

Exploring Attitudes and Obstacles around Digital Public Health Tools: Insights from Washington State's Vaccine Verification System (Preprint)

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