Gaze movement analysis examined how people view and interact with health information on Facebook pages.

BACKGROUND: Gaze movement analysis is a human-computer interaction analysis method to assess time and viewing patterns of screen pages. AIMS/OBJECTIVES: This study examines Facebook users' health information viewing patterns and identifies social media interface factors that affect users' health information behaviour on Facebook. The findings of this study should help researchers and health information providers understand how Facebook is used, and how users might be appraising information viewed. METHODS: This study investigated gaze movement data collected from 48 participants while participants were viewing Facebook pages that presented health-related posts. Each session was designed to represent four health information sources and four health topics. Each session included an exit interview for a better interpretation of data. RESULTS: Participants spent the most time viewing the content of the posts, particularly post images. Findings revealed that users' viewing patterns differed when different health topics were presented, but not according to the type of information provider. However, the study showed that users check the Facebook page's banner to verify the health information provider's identity. CONCLUSION: This study indicates what health information consumers look for on Facebook when finding, appraising, and reacting to, or sharing health-related content.

Innovative public library services during the COVID-19 pandemic: Application and revision of social innovation typology.

Public libraries needed to quickly address the new challenges brought by COVID-19 to continue their services. This study aimed to understand innovative public library services during the pandemic and provide a typology that represent their services. Twitter messages of 12 large public libraries were analyzed to identify library services. A total of 751 Tweets were coded with thematic tags by service types and innovative approaches. Using the social innovation typology by Winberry and Potnis (2021), their typology was revised to show public libraries' innovative services under the emergency circumstances. The findings suggested significant differences within social innovation categories and newly emerged themes. The revised social innovation typology developed from Twitter data during the pandemic includes nine major categories of public libraries' innovative service types and provides updated insights into how public libraries continue to serve as important community resources using innovative approaches. The revised typology will be useful for future research in describing future innovation and assessing the endurance of pandemic-era service innovations.

Characterizing the research data management practices of NIH biomedical researchers indicates the need for better support at laboratory level.

BACKGROUND: The study investigated the research data management (RDM) practices of biomedical researchers at the National Institutes of Health (NIH) representing various biomedical disciplines. OBJECTIVES: This study aimed to analyse the state of biomedical researchers' RDM practices based on RDM practice levels (individual, laboratory, institution and external). The findings of the study are expected to provide directions to information professionals for effective RDM services. METHODS: Semi-structured interviews with 11 researchers were conducted. The interviews were analysed by levels of RDM practices. RESULTS: The findings revealed that biomedical researchers focus on storing and sharing data and that RDM is performed mainly at the individual level. There seems to be a lack of laboratory level RDM system that allows consistent RDM practices among researchers. External RDM practice is often challenged by not having one responsible for RDM. DISCUSSION: Findings suggested a need for an agreed RDM system and customized support, particularly at the laboratory level. Also, institutional support can help researchers prepare for long term data preservation. CONCLUSION: Our suggestions emphasize the importance of RDM training and support for long term data preservation, especially at the laboratory level.

Practical considerations for a library's research data management services: the case of the National Institutes of Health Library.

OBJECTIVE: This study investigates research data management (RDM) services using a crosstab framework with the National Institutes of Health (NIH) Library as a case study to provide practical considerations for libraries seeking to improve their RDM services. METHODS: We conducted semistructured interviews with four librarians who provide data services at the NIH Library regarding library user characteristics, RDM services provided, RDM infrastructure, and collaboration experiences. Through the analysis of interview transcripts, we identified and analyzed the NIH Library's RDM services according to Online Computer Library Center (OCLC)'s three categories of RDM services and the six stages of the data lifecycle. RESULTS: The findings show that the two models' crosstab framework can provide an overview of an institution's current RDM services and identify service gaps. The NIH Library tends to take more responsibility in providing education and expertise services while relying more on information technology departments for curation services. The library provides significant support for data creation, analysis, and sharing stages to meet biomedical researchers' needs, suggesting areas for potential expansion of RDM services in the less supported stages of data description, storage, and preservation. Based on these findings, we recommend three key considerations for libraries: identify gaps in current services, identify services that can be supported via partnerships, and get regular feedback from users. CONCLUSION: These findings provide a deeper understanding of RDM support on the basis of RDM service categories and the data lifecycle and promote discussion of issues to be considered for future improvements in RDM services.

Analysis of College Students' Personal Health Information Activities: Online Survey.

BACKGROUND: With abundant personal health information at hand, individuals are faced with a critical challenge in evaluating the informational value of health care records to keep useful information and discard that which is determined useless. Young, healthy college students who were previously dependents of adult parents or caregivers are less likely to be concerned with disease management. Personal health information management (PHIM) is a special case of personal information management (PIM) that is associated with multiple interactions among varying stakeholders and systems. However, there has been limited evidence to understand informational or behavioral underpinning of the college students' PHIM activities, which can influence their health in general throughout their lifetime. OBJECTIVE: This study aimed to investigate demographic and academic profiles of college students with relevance to PHIM activities. Next, we sought to construct major PHIM-related activity components and perceptions among college students. Finally, we sought to discover major factors predicting core PHIM activities among college students we sampled. METHODS: A Web survey was administered to collect responses about PHIM behaviors and perceptions among college students from the University of Kentucky from January through March 2017. A total of 1408 college students were included in the analysis. PHIM perceptions, demographics, and academic variations were used as independent variables to predict diverse PHIM activities using a principal component analysis (PCA) and hierarchical regression analyses (SPSS v.24, IBM Corp, Armonk, NY, USA). RESULTS: Majority of the participants were female (956/1408, 67.90%), and the age distribution of this population included an adequate representation of college students of all ages. The most preferred health information resources were family (612/1408, 43.47%), health care professionals (366/1408, 26.00%), friends (27/1408, 1.91%), and the internet (157/1408, 11.15%). Organizational or curatorial activities such as Arranging, Labeling, Categorizing, and Discarding were rated low (average=3.21, average=3.02, average=2.52, and average=2.42, respectively). The PCA results suggested 3 components from perception factors labeled as follows: Assistance (alpha=.85), Awareness (alpha=.716), and Difficulty (alpha=.558). Overall, the Demographics and Academics variables were not significant in predicting dependent variables such as Labeling, Categorizing, Health Education Materials, and Discarding, whereas they were significant for other outcome variables such as Sharing, Collecting, Knowing, Insurance Information, Using, and Owning. CONCLUSIONS: College years are a significant time for students to learn decision-making skills for maintaining information, a key aspect of health records, as well as for educators to provide appropriate educational and decision aids in the environment of learning as independent adults. Our study will contribute to better understand knowledge about specific skills and perceptions for college students' practice of effective PHIM throughout their lives.

College Students' Health Information Activities on Facebook: Investigating the Impacts of Health Topic Sensitivity, Information Sources, and Demographics.

College students tend to lack access to health information. Because social networking sites (SNSs) are popularly adopted by college students, SNSs are considered to be good media channels for college students to obtain health-related information. This study examines the factors that influence college students' health information-seeking and -sharing activities on Facebook. An online survey was distributed to college students between the ages of 18 and 29 to determine intentions pertaining to health information activities according to the factors identified for the study. The factors included both contextual factors (such as health topic sensitivity and health information sources) as well as user factors (such as demographics). Our findings showed that college students are willing to read and post health-related information on Facebook when the health topic is not sensitive. In addition, there are clear differences in preferences between professional sources and personal sources as health information sources. It was found that most user factors, except gender, have no influence on health information activities. The impacts of SNS contexts, awareness of information sources, types of interlocutors, and privacy concerns are further discussed.

Research trends in teens' health information behaviour: a review of the literature.

OBJECTIVE: This study aims to examine trends in studies of teens' health information behaviour. METHODS: Eighty-two articles published between 2000 and 2012 were selected and analysed in various aspects: health topics by year, information sources, data collection methods, use of theories and models, collaborative and interdisciplinary efforts and published journals. RESULTS: Fifty-seven per cent of the studies focused on specific health topics, such as sexual health, while the rest covered general health topics. Almost half of the studies examined how teens search for and use health information on the Internet. Surveys were the most popular data collection technique. Only 12.2% were based on a theory or model. About 42% were conducted collaboratively by authors from multiple disciplines. DISCUSSION AND CONCLUSIONS: With the increasing attention to specific health topics and online resources, the health information behaviour of teens has been examined more frequently since the mid-2000s. Its interdisciplinary nature was evidently shown from various disciplines that the authors were affiliated with and the journals of the published studies represented. This study suggests that there should be efforts to reflect new technology tools, apply mixed methods and increase the engagement level of collaboration to evolve this research domain.