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The primary objective was to develop a user-centered mobile health application (app) tailored to the specific health information needs of among immigrant women from diverse backgrounds in Korea.

In-depth interviews were conducted with 24 immigrant women to gain insights into their health information-seeking behavior. Based on the findings, a mobile app was designed and developed. A beta version of the app underwent validation by an MD and seven expert reviewers who assessed the app for content accuracy and conformance to mobile heuristics. Last, immigrant women (n = 12) evaluated the usability of the app.

The study revealed that the interviewed immigrant women had strong health information needs related to pregnancy and parenting. Most of them used multiple sources to find and verify health information. Language barriers were identified as a major obstacle to accessing and evaluating health information. The results of the user test indicated that the app effectively facilitated study participants' search for reliable health information, meeting their specific needs.

This research extended the literature by addressing the limited availability of mobile apps tailored to the health information needs of immigrant women in Korea.

By incorporating multilingual support and focusing on pregnancy and parenting information, the health app serves as a valuable tool to bridge the gap in health information access and to facilitate the well-being of immigrant women in the country.

Prior studies have shown that terminology support can improve health information retrieval but have not taken into account the characteristics of the user performing the search. In this chapter, the impact of translating queries’ terms between lay and medico-scientific terminology, in users with different levels of health literacy and topic familiarity, is evaluated. Findings demonstrate that medico-scientific queries demand more from the users and are mostly aimed at health professionals. In addition, these queries retrieve documents that are less readable and less well understood by users. Despite this, medico-scientific queries are associated with higher precision in the top-10 retrieved documents results and tend slightly to generate knowledge with less incorrect contents, the researchers concluded that search engines should provide query suggestions with medico-scientific terminology, whenever the user is able to digest it, that is, in users above the lowest levels of health literacy and topic familiarity. On the other hand, retrieval systems should provide lay alternative queries in users with inadequate health literacy or in those unfamiliar with a topic. In fact, the quantity of incorrect contents in the knowledge that emerges from a medico-scientific session tends to decrease with topic familiarity and health literacy. In terms of topic familiarity, the opposite happens with Graded Average Precision. Moreover, users most familiar with a topic tend to have higher motivational relevance with medico-scientific queries than with lay queries. This work is the first to consider user context features while studying the impact of a query processing technique in several aspects of the retrieval process, including the medical accuracy of the acquired knowledge.

Purpose: Many Internet users search for health information but they struggle with assessing the quality of the information they find. By drawing on a multi-modal approach to data collection, this study aims to understand further the nuanced cognitive processes that people utilize as they acquire and evaluate online health information.

Design: We used a mixed-methods approach that includes surveys, interviews, and observations of 76 diverse adults of all ages in the Chicago area completing various health information-seeking tasks.

Findings: Most participants begin their information-seeking process on search engines. We identified the most popular credibility-assessment strategies used on the search engine results’ pages (SERP) as well as on websites. We also explored how the process of executing such strategies reveals greater and lesser savvy among users.

Research Limitations: While the sample size and methods limit its generalizability, this study included a larger and more diverse group of participants than most observational work, which results in data about a wider range of behaviors than is typical of such research.

Social Implications: Our findings showed that most of our participants could use additional education regarding credibility assessment of online health information. Additionally, since a great deal of credibility assessment occurs on SERP, search companies bear a particular responsibility for ensuring the quality of the information their results highlight.

Public libraries are vibrant and trusted community hubs that provide services, support, and resources in a variety of ways that impact the well-being of their communities. The Network of the National Library of Medicine (NNLM) partnered with the National Institute of Health (NIH) All of Us Research Program (All of Us) to support libraries to serve as health information resources for their patrons and provide All of Us awareness through community engagement. The NNLM All of Us National Program provides infrastructure and resources to public libraries, such as free training for library staff, health information outreach funding, connections with other organizations, and free programming tools to expand health programming beyond fitness to boost digital and health literacy in their communities.

This research investigates the effect of imposing a tax on sugar-sweetened beverages (SSBs) on the likelihood of purchasing SSBs. We design and test an experimental framework that examines this and the effects of providing an explanation about the presence of an SSB tax and information about the negative health effects of consuming SSBs. Consistent with Elbel, Taksler, Mijanovich, Abrams, and Dixon (2013) and Taylor, Kaplan, Villas-Boas, and Jung (2019), we find that imposing a tax, in addition to increasing the conspicuousness of the tax by explaining the presence of a tax (and in some cases, the negative health effects) reduces the likelihood of purchasing an SSB anywhere from 8.39% to 18.15%. We contribute to the public health and tax policy literature by testing consumer choice in a controlled experimental setting and considering the effect of individual differences on the choice to purchase SSBs. Imposing a tax on SSBs may be an effective tool for decreasing SSB consumption that is made more effective when the tax is conspicuous.

On a world basis, 15% of the population has a disability. Having a disability can result in a higher frequency of health-related information needs than other users might experience. The Web represents a widely used source for health information. People with disabilities, however, often encounter barriers during online searching, such as inaccessible information, poorly designed search user interfaces and lack of compatibility with assistive technology. Consequently, many users are potentially excluded from a range of information sources. Measures are therefore needed to remove these barriers to avoid health disparities that can result from unequal access to information. Public libraries have a social responsibility to include all user groups, and should aspire to make fully accessible services. A good tool in this context is the implementation of the universal design mind-set, where the purpose is to develop services that are available to all people. This chapter discusses how universal design can be a premise for equal access to health information and potentially reduce health disparities in the context of users with disabilities. Both library services and education of librarians will be addressed.

Purpose – The purpose of this article is to investigate one core research question: How can health information technology (HIT) be assessed in a national health care system context?

Design/methodology – We examine this question by taking a systematic approach within a national care system, in which the purpose of HIT is to contribute to a common national health care system's goal: to promote population health in an efficient way. Based on this approach we first develop a framework and our criteria of assessment, and then using Taiwan as a case study, demonstrate how one can apply this framework to assess a national system's HIT. The five criteria we developed are how well does the HIT (1) provide accessible and accurate public health and health care information to the population; (2) collect and provide population health and health care data for government and researchers to analyze population health and processes and outcomes of health care services; (3) provide accessible and timely information that helps to improve provision of cost-effective health care at an institutional level and promotes system-wide efficiency; (4) minimize transaction and administrative costs of the health care system; and (5) establish channels for population participation in governance while also protecting individual privacy.

Findings – The results indicate that Taiwan has high levels of achievement in two criteria while falling short in the other three. Major lessons we learned from this study are that HIT exists to serve a health care system, and the national health care system context dictates how one assesses its HIT.

Originality/value – There is a large body of literature published on the implementation of HIT and its impact on the quality and cost of health care delivery. The vast majority of the literature, however, is focused on a micro institutional level such as a hospital or a bit higher up, on an HMO or health insurance firm. Few have gone further to evaluate the implementation of HIT and its impact on a national health care system. The lack of such research motivated this study. The major contributions of this study are (i) to develop a framework that follows systems thinking principles and (ii) propose a process through which a nation can identify its objectives for HIT and systematically assess its national HIT system. Using Taiwan's national health care system as a case study, this paper demonstrated how it can be done.

Purpose: For deaf people who use American Sign Language (ASL), including cancer survivors, there are documented reports of difficulties in accessing and understanding health information. More than five years ago, a local breast cancer knowledge study with deaf signers found that only 23% of this sample cited the Internet as a source of health information. More research is needed to understand the current trends of a nationwide adult sample of deaf people’s experience with seeking and understanding health information across technology-mediated platforms.

Methodology/Approach: The Health Information National Trends Survey in American Sign Language survey included sections on health status, Internet use, and social media. We used several approaches to recruit deaf people across the USA, including Hawaii, Alaska, and Puerto Rico. The survey was administered online, in person, or through videophone. Following data cleaning, we conducted multiple logistic regression analyses, controlling for demographic factors associated with eHealth-seeking behaviors. The outcome variables of interest were Internet use and sharing health information on social media.

Findings: A total of 713 deaf people in USA (M = 49 years old; SD = 19) provided informed consent and took the survey. Half of the participants had a college degree. Twenty percent of the sample included those who self-identified as lesbian, gay, or bisexual and 38% who were people of color. White, educated, or younger deaf adults were more likely to cite the Internet as the first source of health information. Although all sub-groups were comparable in using social media, younger or ASL/English bilingual deaf adults were more likely to actively share health information through social media. While perceived trust in health information on the Internet did not differ across subgroups within the deaf sample, frustration in finding and understanding information was strongly linked to increasing age as well as those who prefer using ASL only. Users of YouTube for health-related information were likely to be younger or female.

Conclusions: Deaf users of eHealth information are diverse in terms of language usage, which affects their perception of accessing and using health information across technology-mediated platforms. While using YouTube for health appears to be accessible to deaf people, further improvements are needed to make health information sharing through social media inclusive of people who prefer ASL only. The addition of multimodal delivery features (text, audio, and video) in social networking sites has the strong potential to improve health information access and inclusion for all groups, including deaf ASL users. To make online health information inclusive of all groups, materials need to be accessible and easy to understand by all groups.

Drawing upon social cognitive theory, this study aims to investigate the potential predictors and consequences of social media health-misinformation seeking behavior during the coronavirus (COVID-19) pandemic.

Using a sample of 230 international students studying at Wuhan University and Beijing Language and Cultural University, China, this study employs structural equation modeling to analyze the collected data.

The results indicate that personal factors such as lack of health information literacy, environmental factors, information overload and social media peer influence have a significant effect on behavior, namely social media health-misinformation seeking behavior, which further influences outcomes, namely social media users' anxiety during the COVID-19 pandemic. In addition, both lack of health information literacy and social media peer influence have significant and direct effects on social media users' anxiety. However, the direct effect of information overload on social media users' anxiety is insignificant.

First, this study contributes to the literature on the individuals' social media health-misinformation seeking behavior, its precursors and its consequences, specifically on their mental healthcare during a pandemic situation. Second, this research is one of the pioneer studies that extend social cognitive theory to the context of social media health-misinformation seeking behavior and users' anxiety relationship.