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The aim of this paper is to investigate predictors of online medical research by nurses.

A cross‐sectional study was conducted and a representative sample of nurses was selected from three Taiwanese hospitals from 1 January to 31 March 2007. A total of 274 female nurses completed the questionnaire.

The results indicate that the expectancy value of internet characteristics, attitude towards online information seeking and perceived credibility of online information significantly and positively predict online information‐seeking behaviour in nurses. Specifically, the multiple hierarchical regression analysis revealed that the perceived credibility of online information is the strongest predictive variable of online information seeking.

The findings of this study suggest that an important task for professional health organisations is to educate nurses in assessing the reliability of medical information found on the web, such as looking for credible institutional sites, verifying available information with that from other sources or sites, and using common sense.

Little research has been done on how university information sources influence advice-seeking attitude, intention, and behavior between students with high and low susceptibility to online information. Our study addressed this gap by empirically demonstrating the role that students’ susceptibility to online information plays in terms of the effect of attitude, social norm and perceived behavioral control on their advice-seeking intention and behavior using the Theory of Planned Behavior (TPB). The purpose of this study is to examine differences in the susceptibility to online sources on students’ advice-seeking behavior when making an institution choice.

A cross-sectional survey was involved, and this empirical study was performed on the basis of a sample of 621 students from publicly-funded high schools in Hong Kong. Multigroup analysis (MGA) was conducted to (i.e. students with high susceptibility to online sources/ students with low susceptibility to online sources) to examine students’ behavioral intention regarding advice seeking about institution choice. 10;

The results of the study revealed that students with high susceptibility to online information were likely to be influenced by the social norm in applying the TPB model. Conversely, students with low susceptibility to online information had low intention to seek advice from others as they are independent and noninformation seekers. Implications for higher education institutions are discussed.

This study provides a modified version of the TPB model while also demonstrating how students with high/low susceptibility to online sources affect their behavioral intention to seek advice from others about making a university choice. Also, this study provides insights into institutions regarding the promotion of marketing information via online and offline sources.

Today, the Internet has become an attractive source for obtaining health information. Since women play an important role in maintaining the health of the family and community and since they are active seekers of health information through the Internet, it is essential to examine their online health information seeking behavior. Therefore, the main purpose of this article is to identify the factors affecting the online health information seeking intention and behavior of women.

The theoretical framework of this quantitative study was based on the theory of planned behavior. A total of five hypothesized relationships were formulated to develop a conceptual model. The study approach was quantitative. Using simple random sampling, 400 women referred to specialized and sub-specialized clinics of Hamadan University of Medical Sciences, Iran participated in the study and responded to the survey. Descriptive and inferential data analysis was performed using SPSS 21 and Smart PLS 3 software.

The results showed that the intention to find health information online is a function of psychological variables. These variables include attitude, subjective norms and perceived behavioral control. Findings showed that attitude is the most important factor affecting online health information seeking intention. It was also found that online health information seeking intention has a positive and significant effect on women's information seeking behavior.

This study is the first attempt to use an important and universally accepted theory to identify the factors affecting the online health information seeking behavior of women referring to specialized and sub-specialized clinics and provides important practical concepts for health officials and managers to improve and develop online health information seeking behavior.

The purpose of this study sought to determine the characteristics that distinguish online from offline information seekers among people living with human immunodeficiency virus (PLHIV) in selected regional hospitals of Tanzania.

Questionnaire-based survey was conducted among 341 adults with human immunodeficiency virus (HIV) infection attending the HIV clinics in the regional referral hospitals in Mwanza, Mbeya and Dar es Salaam, Tanzania. The study used multivariate logistic regressions to determine factors that distinguish online HIV information seekers from offline HIV information seekers.

One in every five survey participants sought online HIV information (19.6 per cent, n = 67). Both higher level of education (odds ratio (OR) = 1.765, 95 per cent confidence interval (CI) = 1.208-2.58) and intention to use internet in future (OR = 1.566, 95 per cent CI 1.148-2.136) were predictors of online HIV information seeking behaviour at multivariate analysis. Respondents who sought online information reported to have gained knowledge such as; to understand their conditions better (77.4 per cent, n = 41) and understand information received from health care workers (66 per cent, n = 35), as well as acquisition of health promoting behaviour such as; asking questions during doctor’s visit (55 per cent, n = 35) and consulting a clinician when they have problems (64.3 per cent, n = 33). The offline HIV information seekers (n = 274) did not use internet due to lack of information seeking skills (44.3 per cent, n = 113) and lack of access to internet connectivity (30.2 per cent, n = 77).

This is a comprehensive study that differentiates online from offline HIV information seekers in the context of sub-Saharan Africa. The results suggest that interventions to improve online access information will empower patients and probably positively affect their health knowledge and health promoting behaviours.

Purpose: The aim of the study is to consider the use of the Internet as a potential facilitator of positive health-related perceptions. Specifically, we propose that online health information seeking fosters positive perceptions of health. Using path modeling, we theorized several mechanisms through which information seeking could be conducive to positive health perceptions, which we conceptualized into the following four dimensions: (1) sense of empowerment in managing health, (2) self-reported ability to take better care of health, (3) sense of improved health-related quality of life, and (4) self-reported improvement of health.

Methodology: Our sample consisted of respondents who have used the Internet as a resource for health information (n = 710), drawn from the largest national probability-based online research panel. Our comparison subsample consisted of older respondents (age ≥ 60; n = 194). We used Internet-specific measures and employed structural equation models (SEM) to estimate the direct, indirect, and total effects of health-related use of the Internet on subjective health perceptions. Based on our review of the literature, competent health communication with healthcare providers and sense of empowerment in managing personal health were modeled as mediator variables. We assessed whether the proposed mediational relationships, if significant, differed across our indicators of positive health perceptions and whether any differential associations were observed among older adults. We run parallel models for each indicator of positive health perception.

Findings: Provider-patient communication informed by the Internet resources were perceived to impart a greater sense of empowerment to manage health among our respondents, which in turn, was associated with perceived contributions to better self-reported ability to provide self-care, increased health-related quality of life, and improvement in self-reported health. The SEM results revealed a good fit with our full sample and subsample.

Research Implications: Conceptualization of the multidimensional aspects of online health information seeking with separate multi-indicator analyses of the outcome variable is important to further our understanding of how technology may impact the pathways involved in influencing health perceptions and as a result health outcomes.

This study investigated how students of the Faculties of Humanities and Education and Social Sciences at a Caribbean University sought information during the COVID-19 pandemic, identified challenges they experienced in seeking information for academic tasks and how satisfied they were with the Library's provision of electronic resources and services during this period.

A quantitative survey design was adopted for this study. Data were collected using an online questionnaire. Descriptive and inferential statistics were used to analyse the data.

This study revealed that undergraduates relied upon lecture notes to complete assignments during the COVID-19 pandemic. Undergraduate students have developed a definite information-seeking pattern, which did not change during the pandemic. They tend to use information channels that require the least effort. Postgraduate students used a variety of Library information channels but primarily used electronic journals. On the whole, students experienced challenges while seeking information via the channels provided by the Library. Students were neither satisfied nor dissatisfied with the Library's provision of electronic resources and services.

The study used non-probability sampling and only included students from two faculties at one university. As a result, the findings may not be generalized to the entire student population or all Caribbean universities.

The results of this study can be used to identify the difficulties students are having in accessing information from the Library and gauge service delivery.

This paper contributes to the scholarship from the Caribbean written to show whether students' information-seeking behaviour changed during the COVID-19 pandemic.

This paper presents recently published resources on library instruction and information literacy. It provides an introductory overview and a selected annotated bibliography of publications covering various library types, study populations and research contexts. The selected bibliography is useful to efficiently keep up with trends in library instruction for busy practitioners, library science students and those wishing to learn about information literacy in other contexts.

This article annotates 424 English-language periodical articles, monographs, dissertations, theses and reports on library instruction and information literacy published in 2021. The sources were selected from the EBSCO platform for Library, Information Science, and Technology Abstracts (LISTA), Education Resources Information Center (ERIC), Scopus, ProQuest Dissertations and Theses, and WorldCat, published in 2021 that included the terms “information literacy,” “library instruction,” or “information fluency” in the title, abstract or keywords. The sources were organized in Zotero. Annotations summarize the source, focusing on the findings or implications. Each source was categorized into one of seven pre-determined categories: K-12 Education, Children and Adolescents; Academic and Professional Programs; Everyday Life, Community, and the Workplace; Libraries and Health Information Literacy; Multiple Library Types; and Other Information Literacy Research and Theory.

The paper provides a brief description of 424 sources and highlights sources that contain unique or significant scholarly contributions.

The information may be used by librarians, researchers and anyone interested as a quick and comprehensive reference to literature on library instruction and information literacy within 2021.

Guided by the Comprehensive Model of Information Seeking (CMIS), this article identifies significant predictors that impact individuals seeking COVID-19 information. People with different political ideologies read contradictory information about the COVID-19 pandemic. However, how political ideology may affect COVID-19 information seeking remains unclear. This study explores the major information channels for individuals with different political ideologies to seek COVID-19 information. It further examines how political ideologies influence CMIS's effectiveness in predicting online health information-seeking.

This study collected 394 completed survey responses from adults living in the United States after the 2020 lockdown. ANOVA analyses revealed the differences in salience, beliefs, information carrier characteristics, utilities and information-seeking actions between Liberals and Conservatives. Regression analyses discovered variables that predict Liberals' and Conservatives' online health information seeking.

Results suggest that the internet is the top channel for COVID-19 information seeking. Compared to Conservatives, Liberals report more COVID-19 information-seeking actions. Liberals also express stronger salience, perceive higher trustworthiness of online COVID-19 information, are more likely to think of seeking online COVID-19 information as useful and helpful and report more substantial efficacy to mitigate the risk. Most CMIS variables predict Liberals' information seeking; however, only salience significantly predicts Conservatives' information seeking.

This article indicates that CMIS should include political ideology to refine its prediction of information seeking. These findings offer practical implications for designing health messages, enhancing information distribution and reducing the public's uncertainty.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2022-0436.

The Internet is used as a tool to seek health information by individuals. Mental health concerns are the high prevalence of the novel coronavirus disease 2019 (COVID-19) and preventive steps are required to curb the illness. Therefore, to gain more insight into health concerns, it is now a common practice to seek health information on the Internet. This study propose an integrated theoretical model to explore the relationship between COVID-19 protocols and perceived online trust with online health information seeking intention (OHISI) and a moderating effect of perceived severity and perceived urgency.

Data are collected from 325 athletes in the category of individual and team sports through an online survey in a Likert-scale questionnaire. The analysis is performed with a quantitative methodology.

The study reveals the bright side of online health information (OHI), which brings athletes together and has played out with virtual happy hours, meetings and events. The bright side of OHI reflects social, cultural, technological and economic benefits. An OHI chatbot offers bright personalised side information to the individual seeker, which is more convenient and efficient than human capabilities.

The pivotal contribution is the integrated theoretical framework that is derived from multidisciplinary literature to capture the complexity of OHI. Also, it conceptualises the constructs in the context of OHI and COVID-19.

This paper aims to investigate user health information seeking and sharing patterns and content in an online diabetes community and explore the similarities and differences in the ways and themes they expressed.

Multiple methods are applied to analyze the expressions and themes that users seek and share based on large-scale text data in an online diabetes community. First, a text classifier using deep learning method is performed based on the expression category this study developed. Second, statistical and social network analyses are used to measure the popularity and compare differences between expressions. Third, topic modeling, manual coding and similarity analysis are used to mining topics and thematic similarity between seeking and sharing threads.

There are four different ways users seek and share in online health communities (OHCs) including informational seeking, situational seeking, objective information sharing and experiential information sharing. The results indicate that threads with self-disclosure could receive more replies and attract more users to contribute. This study also examines the 10 topics that were discussed for information seeking and 14 topics for information sharing. They shared three discussion themes: self-management, medication and symptoms. Information about symptoms can be largely matched between seeking and sharing threads while there is less overlap in self-management and medication categories.

Being different from previous studies that mainly describe one type of health information behavior, this paper analyzes user health information seeking and sharing behaviors in OHCs and investigates whether there is a correspondence or discrepancy between expressions and information users spontaneously seek and share in OHCs.