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This study aimed to examine the mental health information entities and associations between the biomedical, psychological and social domains of bipolar disorder (BD) by analyzing social media data and scientific literature.

Reddit posts and full-text papers from PubMed Central (PMC) were collected. The text analysis was used to create a psychological dictionary. The text mining tools were applied to extract BD entities and their relationships in the datasets using a dictionary- and rule-based approach. Lastly, social network analysis and visualization were employed to view the associations.

Mental health information on the drug side effects entity was detected frequently in both datasets. In the affective category, the most frequent entities were “depressed” and “severe” in the social media and PMC data, respectively. The social and personal concerns entities that related to friends, family, self-attitude and economy were found repeatedly in the Reddit data. The relationships between the biomedical and psychological processes, “afraid” and “Lithium” and “schizophrenia” and “suicidal,” were identified often in the social media and PMC data, respectively.

Mental health information has been increasingly sought-after, and BD is a mental illness with complicated factors in the clinical picture. This paper has made an original contribution to comprehending the biological, psychological and social factors of BD. Importantly, these results have highlighted the benefit of mental health informatics that can be analyzed in the laboratory and social media domains.

This research aims to explore the nature of Chinese students' mental health information needs and to identify the online resources they use to meet those needs.

Data was collected from three Chinese research-oriented universities using semi-structured interviews and a survey. Twenty-five university students with varied backgrounds were selected for semi-structured interviews to explore the triggers and nature of their needs. Then, printed and online questionnaires were distributed to undergraduate and postgraduate students and 541 valid responses were processed for descriptive statistical analysis and variance analysis.

The following findings were incurred. First, the triggers of university students' mental health information needs mainly are mental health being in the news, personal interest in gaining mental health knowledge, mental health issues, required formal learning and preparation for mental health counselling. Second, eleven types of information are used, with an emphasis on employment pressure, study stress and self-understanding. Third, mental health information needs differ with mental health status and some social-demographic factors (including gender, urban or rural origin and educational stage). Fourth, information needs can be characterized as dynamic; complex and diverse but concentrated on a few types; ambiguous and hard for participants to define; private; stigmatized; self-dependent and substitutable. Fifth, Internet sources used to meet such needs are mainly search engines, Question and Answer platforms, public social media platforms. Finally, a model of mental health information needs was built based on the above findings to map the whole process from what triggers a need, to the content and characteristics of information need, and online resources used to meet those needs.

The paper provides suggestions for university mental health services in developing more tailored knowledge contents via effective delivery methods to meet diverse needs of student groups.

This research is novel in using empirical data to build a holistic model that captures the context and the nature of mental health information needs of university students.

This study aims to identify the critical factors affecting the perception of adolescent students toward interactive online mental health information available on health-related websites.

The primary data was collected with the help of an online self–structured questionnaire. The questionnaire includes the identified variables extracted from previous literature related to the mental health information websites using the Likert scale. The respondents include the adolescent school students belonging to the northern region of India: semi-urban/rural locations of Uttar Pradesh (Agra and Mathura) and urban cities (Faridabad, Gaziabad, Delhi and NCR). The criteria for selecting respondents were that students must have visited any online health information-related websites at least once. Exploratory factor analysis was used to explore the factors with the help of SPSS.20.

The identified factors that include information delivery medium/mode, websites’ navigation structure, customized information or content, ability to form a virtual relationship and supplementary features of the websites may benefit the health communication system of any country and the health-care industry.

There are some limitations such as a limited number of respondents and even on that sample was taken for teenagers; thereby creating fewer generalizations related to the present context. Further, only exploratory factor analysis is applied in the study to identify the factors but future researchers may proceed to develop the conceptual model of perception toward online information with the help of confirmatory factor analysis and structural equation modeling techniques.

The results of this study are useful for government officials especially those related to the ministry of health care and public health organizations of various countries, who usually invest in co-designing authentic, reliable and high interactive online information-sharing websites.

The results of the study will facilitate the various social child welfare associations and non-governmental organizations that are usually involved in the holistic development of adolescents. The identified factors can be seriously taken into considerations by these associations while they are formulating any on line websites for sharing health-related information to adolescents.

The study is unique as it provides insight into the opinion of the adolescent students, primarily upon encountering the online mental health information concerning the Indian perspective. Future researchers, health-care policymakers and health-care professionals may use the study to capture a complete picture of a relevant phenomenon in their work.

Mental health literacy (MHL) is the ability to understand health information originating from different sources. Little is known about ethnic differences in sources for health information, and the effect these differences has on elderly MHL. In this paper, we focus on the social networks (i.e. social connections) of elderly people from different ethnic groups, and investigate the effect these networks have on MHL. Specifically, we focus on the ethnic diversity of one's peers (ethnic diversity) as a network characteristic that can interplay with his\her MHL.

The data used in this study were gathered using a survey among elderly (over the age of 60) Native Israeli Jews (N = 147) and Immigrant Jews from the Former Soviet Union (FSU, N = 131). The survey was used to assess our participants MHL, online and offline sources of mental health information and mental health service utilization. Interviews were also conducted with each participant. The interview purpose was to map the participants' social network (using a sociogram), while indicating the attributes of the participant's peers (age, gender, ethnicity, etc.) and the nature of the interaction (online vs. offline, strength of the tie, etc.). A set of hierarchal regression analyses were then used to examine which social network attributes are correlated with MHL levels.

Our findings shows that ethnic diversity within the social networks of Immigrants from the FSU contributed to their MHL more so than for native-born Jews. Specifically, face to face maintained connections with individuals from diverse ethnic groups lead to increased knowledge about how to search for mental health information. Online maintained connections with individuals from diverse ethnic groups, lead to increase attitudes that promote recognition of mental health related issues and appropriate help-seeking.

Understanding the interplay between the ethnic diversity among one's peers and his/her MHL offers an important additional prism of examining MHL; moving beyond the individual's characteristics and examining his/her social connections as well. The relevancy of these findings for reducing MHL inequalities between native-born and elderly migrants, as well as for ethnic minorities is discussed.

The use of accessible, portable, mental health crisis information in people with intellectual disabilities has not been previously reported. The purpose of this paper is to explore whether crisis information could be modified to be made accessible and meaningful for people with intellectual disabilities.

Personalized information to help in a mental health crisis was recorded on folded A4 sized sheets that could be carried in a conveniently sized wallet.

Three quarters of the participants carried their crisis information wallets on a daily basis for six months before evaluation. They and their carers expressed positive feedback about them carrying the crisis information. No one carrying the information actually experienced a mental health crisis in the six months follow up period so their usefulness in such crises could not be evaluated. However, they were unexpectedly used in other non‐mental health settings and reported to have been helpful.

The sample size in this was small but the findings suggested that the carrying of crisis information might be a helpful measure for some people with intellectual disabilities. A further, larger scale trial is warranted.

Recent evidence on consumer decision-making suggests that highly complex choice scenarios lead consumers to use simplistic decision heuristics, often resulting in suboptimal decision-making. This study aims to investigate the relationships among consumers’ primary information source, patient satisfaction and patient well-being, specifically focused on the search for mental health professionals. The selection of a mental health provider is of interest, because practitioners work from a highly diverse set of theoretical bases, may hold a wide range of different credentials and provide drastically different therapeutic approaches, therefore making the selection complex and difficult for consumers to self-navigate.

Three studies were undertaken, with data sampling from both patients of mental health services and practitioners.

Consumers selecting a provider based on self-performed searches, rather than receiving external input (referrals from physicians, relatives or friends), report lower satisfaction with their mental health provider. In turn, patient satisfaction positively impacts patient well-being. Practitioner data corroborate these findings, revealing that a large percentage of patients stem from a self-performed internet search, though mental health providers recognize that external referrals are likely to lead to better outcomes.

The results reveal the importance of understanding the consumer search and, particularly, the use of the internet as a search tool. The results present several implications for service providers, including the need to identify patients’ primary source utilized within an information search, as it can adversely impact patient satisfaction.

Education programs seek to increase the public’s mental health literacy so they are better able to, among other things, help others engage in care when in need. This task may be diminished when such programs overwhelm participants with too much information. In addition, participants might arrive to the program with information overload related to the covered health topic. Information overload about health topics has been shown to influence attitudes and behavioral intentions. The overall purpose of the current study was to examine the relationship between mental health information overload, topic interest, and care seeking recommendations.

The current study tested a path suggesting high mental health information overload diminishes interest in learning about mental health, which in turn reduces recommendations to others to seek appropriate help when in need. Participants completed online measures of mental health information overload, topic interest and recommendations for care seeking. The data set analyzed represents valid responses from 221 participants. Structural equation modeling was completed to confirm the path model hypothesized for this study.

Structural equation modeling showed satisfactory fit and significant betas for the hypothesized path.

This study adds to the emerging literature on the impact of health information overload and is the first to the best of the authors’ knowledge to measure mental health information overload. Program developers should consider information overload in the ongoing development of public mental health education programs.

This article highlights the importance of information‐sharing in mental health care and in particular the difficulties that can follow when practitioners do not perceive lay carers as ‘partners in care’. The findings of a survey, in which views were sought on poor information‐sharing as a barrier to engagement in mental health services, are reported. The authors conclude with a number of recommendations on improving the way information is shared.

The purpose of this paper is to investigate the direct effects of eHealth literacy, perceived competence, perceived electronic word-of-mouth (eWOM) credibility and price perception on consumers' willingness to purchase online mental health services. This study also examines the mediating role of perceived information quality on the eHealth literacy-consumers' willingness to purchase online mental health services relationship and the moderating roles of perceived eWOM credibility and price perception on the perceived competence-consumers' willingness to purchase online mental health services relationship.

Based on an extensive literature review, a conceptual model was developed. The research design was cross-sectional. A total of 400 respondents participated in the self-administered survey. After discarding some questionnaires due to incompleteness and lack of variance, a total of 367 responses was used in final data analysis. Partial least square structural equation modeling (PLS-SEM) was used to test the proposed model.

eHealth literacy, perceived competence, perceived eWOM credibility and price perception were found to have significant positive direct effects on consumers' willingness to purchase online mental health services. Perceived information quality was found to have a significant partial mediating effect on the eHealth literacy-consumers' willingness to purchase online mental health services relationship. Both perceived eWOM credibility and price perception were found to have significant positive moderating effects on the perceived competence-consumers' willingness to purchase online mental health services relationship.

Studies concerning online mental health services from a marketing or business perspective is almost non-existent. Therefore, this study contributes to the scarce literature in that context. This is the first study that has investigated how eHealth literacy, perceived information quality, perceived competence, perceived eWOM credibility and price perception influence consumers' willingness to purchase online mental health services.

For decades, artificial intelligence (AI) has been utilized within the field of mental healthcare. This paper aims to examine AI chatbots, specifically as offered through mobile applications for mental healthcare (MHapps), with attention to the social implications of these technologies. For example, AI chatbots in MHapps are programmed with therapeutic techniques to assist people with anxiety and depression, but the promise of this technology is tempered by concerns about the apps' efficacy, privacy, safety and security.

Utilizing a social informatics perspective, a literature review covering MHapps, with a focus on AI chatbots was conducted from the period of January–April 2019. A borrowed theory approach pairing information science and social work was applied to analyze the literature.

Rising needs for mental healthcare, combined with expanding technological developments, indicate continued growth of MHapps and chatbots. While an AI chatbot may provide a person with a place to access tools and a forum to discuss issues, as well as a way to track moods and increase mental health literacy, AI is not a replacement for a therapist or other mental health clinician. Ultimately, if AI chatbots and other MHapps are to have a positive impact, they must be regulated, and society must avoid techno-fundamentalism in relation to AI for mental health.

This study adds to a small but growing body of information science research into the role of AI in the support of mental health.