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Purpose – This paper uses the theory of interagency information sharing as a lens to determine the benefits, risks, and past experiences of those involved in information sharing.

Design/Methodology/Approach – The authors analyze the current existent literature related to sharing of information between health care employers. A theory that could be useful in the creation of a policy and management framework that would facilitate information sharing is also thoroughly explored. Commentary and analysis result in strategies for health care employers to utilize when facing the challenging issues involved with hiring employees.

Findings – The paper details how human resource professionals can utilize technology and existing theory to properly implement information sharing techniques into their organization.

Originality/Value – The information technology changes that are taking place within health care organizations and systems across the country create the opportunity for these organizations and systems to proactively implement strategies that will positively affect organizational performance. By investing in information sharing techniques while utilizing the theories outlined in this paper, organizations and systems may avoid many of the issues associated with hiring problem employees.

The ballooning health misinformation on social media raises grave concerns. Drawing upon the S-O-R (Stimulus-Organism-Response) model and the information processing literature, this study aims to explore (1) how social media health information seeking (S) affects health misinformation sharing intention (R) through the channel of health misperceptions (O) and (2) whether the mediation process would be contingent upon different information processing predispositions.

Data were collected from a survey comprising 388 respondents from the Chinese middle-aged or above group, one of China's most susceptible populations to health misinformation. Standard multiple linear regression models and the PROCESS Macro were adopted to examine the direct effect and the moderated mediation model.

Results bolstered the S-O-R-based mechanism, in which health misperceptions mediated social media health information seeking's effect on health misinformation sharing intention. As an indicator of analytical information processing, need for cognition (NFC) failed to moderate the mediation process. Contrarily, faith in intuition (FI), an indicator reflecting intuitive information processing, served as a significant moderator. The positive association between social media health information seeking and misperceptions was stronger among respondents with low FI.

This study sheds light on health misinformation sharing research by bridging health information seeking, information internalization and information sharing. Moreover, the authors extended the S-O-R model by integrating information processing predispositions, which differs this study from previous literature and advances the extant understanding of how information processing styles work in the face of online health misinformation. The particular age group and the Chinese context further inform context-specific implications regarding online health misinformation regulation.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2023-0157.

During Covid-19 pandemic, Millennials, which are familiar with the Internet, may contribute in facing the pandemic by consistently sharing healthy food information. Thus, it is important to improve Millennials online healthy food information-sharing behaviour during the Covid-19 pandemic. This research aims to examine the simultaneous effects of e-health literacy, knowledge of the digital health communication media (DHCM) use, facilitating conditions, information quality and source credibility on Millennials' online healthy food information-sharing behaviour during the Covid-19 pandemic.

A survey was performed to collect the data. The respondents of the survey are 205 DHCM millennial users who lived in Tangerang Regency and Tangerang City, Indonesia. This research performed a multiple regression analysis to test the conceptual model and proposed hypotheses.

Millennials' online healthy food information-sharing behaviour during the Covid-19 pandemic was significantly affected by perceived threat of Covid-19, knowledge of the DHCM use and the facilitating conditions. However, it was not significantly affected by e-health literacy, information quality and source credibility.

This research employed a purposive sampling technique. This research also was conducted only in Tangerang Regency and Tangerang City, Indonesia. In order to test the stability of the research findings, future research should be conducted in other contexts.

In order to improve Millennials' online healthy food information-sharing behaviour during the Covid-19 pandemic, it was essential to educate Millennials on the importance of healthy food consumption during the Covid-19 pandemic and their relationships. It is also important to enrich Millennials' knowledge of reliable and trustworthy online health information sources, such as the DHCM, and the search method. Furthermore, the facilitating conditions of online healthy food information-sharing behaviour should be improved.

It is well known that online healthy food information-sharing behaviour is important during Covid-19 pandemic. However, there is lack of study that specifically focused on Millennials' online healthy food information-sharing behaviour during the Covid-19 pandemic. This paper is the first that develops and tests a model of Millennials' online healthy food information-sharing behaviour during the Covid-19 pandemic. The model can be used to understand the behaviour and develop intervention strategy.

This paper aims to theorize and examine how central cognition elaboration cue and peripheral cognition elaboration cue influence users’ health information sharing intention in Strong ties social media (STSM) in emerging markets.

This paper innovatively proposes two concepts of health information emotion and health information sharing value based on the in-depth observation of users’ social health behavior. We integrate Elaboration Likelihood Model, Media Richness Theory, Trust Theory and Regulatory Focus Theory to develop hypotheses and research models and lay emphasis on the study of health information emotion’s moderating effect. This paper conducts an empirical study by selecting 372 health information users of WeChat, a typical STSM, to verify the research model by structural equation model.

For the central route, individual motivation and health information richness positively influence health information sharing value. For peripheral route, health information source trust and health information recipient trust both positively influence the health information sharing attitude. Health information sharing value and sharing attitude can positively affect users’ health information sharing intention. In addition, health information positive emotion has significant moderating effect, while health information negative emotion does not have.

This study contributes to a comprehensive perspective for understanding users’ health information sharing intention in STSM in emerging markets, an important but understudied topic. The results can also give implications for researchers to explore users’ behavioral intention from the perspective of process-oriented persuasion and health information emotion’s moderating effect.

Technology has eased access to information. During the ongoing COVID-19 pandemic, ease of access and transmission of information via social media has led to ambiguity, misinformation and uncertainty. This research studies the aforementioned behaviours of information sharing and verification related to COVID-19, in the context of social media.

Two studies have been carried out. Study 1, with Indian social media users, is a two-factor between-subjects experimental design that investigated the effect of message polarity (positive versus negative) and message type (news versus rumour) on the dissemination and verification behaviour of COVID-19-related messages. The study also investigated the mediation of perceived message importance and health anxiety. Study 2 is a replica study conducted with US users.

The study finding revealed significantly higher message sharing for news than rumour. Further, for the Indian users, message with positive polarity led to higher message sharing and message with negative polarity led to higher verification behaviour. On the contrary, for the US users, message with negative polarity led to higher message sharing and message with positive polarity led to higher verification behaviour. Finally, the study revealed message importance mediates the relationship of message type and message sharing behaviour for Indian and US users; however, health anxiety mediation was significant only for Indian users.

The findings offer important implications related to information regulation during a health crisis. Unverified information sharing is harmful during a pandemic. The study sheds light on this behaviour such that stakeholders get insights and better manage the information being disseminated.

The study investigates the behaviour of sharing and verification of social media messages between users containing health information (news and rumour) related to the ongoing COVID-19 pandemic.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-07-2020-0282

Social media greatly enhances public access to health information and thus attracts older adults who tend to attach more importance to their health. This study aims to identify the factors that contribute to the likelihood of older adults' health information sharing on social media.

By drawing on health belief (HBM) and elaboration likelihood models (ELM), a novel conceptual model integrating older adults' health belief and information processing is established to uncover the factors. Online survey data from 290 Chinese older adult users of WeChat, the most popular social media platform in China, were collected to test the research model.

As health belief-related variables, perceived susceptibility is positively associated with health information-sharing intention (HISI), while perceived severity negatively influences HISI, which is contrary to prior findings. For information processing, the positive impacts of argument quality and source credibility on HISI are fully mediated by perceived usefulness.

This study is one of the first studies to explore the initiative use of information and communication technology among older adults. The new theoretical perspective proposed herein considers health belief and information processing perspectives in a complementary manner and can facilitate an overall analysis of the factors influencing older adults' HISI in a social media context. This study also furthers understandings of the ELM and expands the theory of HBM to take the age of decision makers into account.

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.

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.

Health information exchange (HIE) initiatives utilize sharing mechanisms through which health information is mostly transmitted without a patient's close supervision; thus, patient trust in the HIE is the core in this setting. Existing technology acceptance theories mainly consider cognitive beliefs resulting in adoption behavior. The study argues that existing theories should be expanded to cover not only cognitive beliefs but also the emotion provoked by the sharing nature of the technology. Based on the theory of reasoned action, the technology adoption literature, and the trust literature, we theoretically explain and empirically test the impact of perceived transparency of privacy policy on cognitive trust and emotional trust in HIEs. Moreover, the study analyzes the effects of cognitive trust and emotional trust on the intention to opt in to HIEs and willingness to disclose health information.

An online survey was conducted using data from individuals who were aware of HIEs through experience with at least one provider participating in an HIE network. Data were collected from a wide range of adult population groups in the United States.

The structural equation modeling analysis results provide empirical support for the proposed model. The model highlights the strategic role of the perceived transparency of the privacy policy in building trust in HIEs. When patients know more about HIE security measures, sharing procedures, and privacy terms, they feel more in control, more assured, and less at risk. The results also show that patient trust in HIEs may take the forms of intention to opt in to an HIE and willingness to disclose health information exchanged through HIE networks.

The findings of this study should be of interest to both academics and practitioners. The research highlights the importance of developing and using a transparent privacy policy in the diffusion of HIEs. The findings provide a deep understanding of dimensions of HIE privacy policy that should be addressed by health-care organizations to exchange personal health information in a secure and private manner.

Despite having inadequate resources, highly impoverished patients tend to seek and share health information over social media groups to improve each other’s well-being. This study aims to focus on access to health-care information for such patients and aims to provide an understanding of how online health-care communities (OHCs), as transformative service mediators, can be platforms for patients with chronic and nonchronic health conditions to share their experiences in a base-of-the-pyramid (BOP) context.

A large-scale survey among 658 respondents was conducted in a very low-income country. Structural equation modeling was used to test the hypotheses.

A model of patients’ experience sharing (PES), motivations and consequences for health-care services are introduced and tested. The result supports the PES model for patients with chronic health conditions, showing that utilitarian, hedonic and social value dimensions directly influence PES and indirectly influence patients’ continuance intention with OHCs and patient efforts. However, a mediating effect of PES was found only between the value dimensions and patients’ efforts. A negative moderation effect of medical mistrust was found in the relationship between utilitarian value and PES for both chronic and nonchronic patient groups.

This study is a pioneering attempt to develop and test a PES model in a BOP market.