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The advent of online live streaming platforms (OLSPs) and online health communities (OHCs) has expedited the integration of traditional medical services with Internet new media technology. Since the practice of physicians conducting live streaming is a relatively new phenomenon, the potential cross-platform effects of such physicians’ live streaming have not received adequate attention.

This study collected data from 616 physicians specializing in cardiology, obstetrics and gynecology and neurology between April and November 2022 on Live.Baidu.com and WeDoctor.com. It constructed a panel data set comprising a total of 4,928 observations over an 8-month period and validated the model using empirical analysis with the fixed-effects method.

We find evidence of cross-platform influence in online healthcare. Physicians’ live streaming behavior (whether live or not and the heat of their streams) on OLSPs positively impacts both their consultation and reputation on OHCs. Additionally, physicians’ ability positively moderates the relationships between live streaming heat and their performance (in terms of consultation volume and reputation) on OHCs. However, ability does not moderate the relationship between physicians’ live streaming status (live or not) and their performance (in terms of consultation and reputation) on OHCs. Furthermore, the attractive appearance of the physicians also significantly moderates the impact in a positive way.

This is one of the pioneering studies on physicians’ live streaming. The study offers vital guidance for physicians and patients utilizing dual platforms and holds significant reference value for platform operators (such as OLSPs and OHCs) aiming to optimize platform operations and for the government in policy formulation and industry regulation.

This study examines the inverted U-shaped relationship between a live-streaming seller’s disclosure of two-sided product information and consumers’ trust in the seller and product. It also explores the interaction between these two types of information disclosure and their impact on purchase intention in the live-streaming sales context.

An e-questionnaire survey was conducted in China, followed by multiple regression and structural equation modeling analyses.

The disclosure of both negative and positive product information is positively correlated with consumers’ trust in the seller or product but does not directly affect their purchase intention. Negative information disclosure neither enhances nor diminishes the positive impact of disclosing positive information on consumer trust.

Live-streaming sellers (i.e. retailers or manufacturers) should disclose both positive and negative product information to form consumers’ trust toward them (or products) and enhance sales.

Live-streaming sellers often worry about the negative effects of excessive promotions or disclosure of positive or negative product information. However, these negative effects were not statistically significant.

Since some researchers have found nonlinear effects of two-sided product information in other contexts, this study is the first to focus on the impact of live-streaming sellers’ disclosure of two-sided product information on consumers’ trust in the live-streaming sales context rather than on the information per se.

The purpose of this paper is to explain how different emergency services adopt and adapt the same hospital-wide lean-inspired intervention and how this is reflected in hospital process performance data.

A multiple case study based on a realistic evaluation approach to identify mechanisms for how lean impacts process performance and services’ capability to learn and continually improve. Four years of process performance data were collected from seven emergency services at a Swedish University Hospital: ear, nose and throat (ENT) (two), pediatrics (two), gynecology, internal medicine, and surgery. Performance patterns were linked with qualitative data collected through realist interviews.

The complexity of the care process influenced how improvement in access to care was achieved. For less complex care processes (ENT and gynecology), large and sustained improvement was mainly the result of a better match between capacity and demand. For medicine, surgery, and pediatrics, which exhibit greater care process complexity, sustainable, or continual improvement were constrained because the changes implemented were insufficient in addressing the higher degree of complexity.

The variation in process performance and sustainability of results indicate that lean efforts should be carefully adapted to the complexity of the care process and to the educational commitment of healthcare organizations. Ultimately, the ability to adapt lean to a particular context of application depends on the development of routines that effectively support learning from daily practices.

The purpose of this paper is to use results from a comprehensive analysis of a physician‐prescribing model to draw guidelines on how to promote a new drug in the presence of competing older drugs, in a chronic therapeutic state.

The authors use an extensive database from SDI Health, LLC, and a second data set from IMS Health. They calibrate their model using logarithmic regression methodology. The dependent variable in the model is number of new prescriptions and the explanatory variables are physician and patient characteristics, and marketing variables.

The authors' estimates imply that heavy prescribers are likely to be specialists, be in solo practice, have more experience, receive more sales rep traffic, have more HMO affiliations, have a higher proportion of patients in HMOs, write more prescriptions across all therapeutic categories, see a higher number of patients, receive more free samples from the sales reps, have more rep intensity in their offices, and allow longer visits by sales reps.

This model has novel implications for drug manufacturers on the effect of time‐in‐the‐market. Accordingly, new drug makers are well‐advised to wait until a drug gets established in the community for it to be prescribed more heavily by specialists and target physicians in solo practice and newer physicians to speed up the adoption process. Furthermore, for newer drugs traditional forms of detailing via a live sales rep are not as effective as for older more established drugs – the new‐drug manufacturer can try other means such as e‐detailing, social media, direct‐to‐consumer advertising, and word‐of‐mouth/mouse to initiate market share.

This study aims to identify appropriate strategies and actions adopted by business-to-business firms to cope with the ongoing COVID-19 crisis.

A review of business-to-business marketing responses to the COVID-19 crisis in China was conducted.

Nine marketing responses built on core business processes were classified into three categories: (1) embedded in product development management process (stretching product lines to meet urgent needs, expanding product lines to meet urgent needs and adjusting products proactively for emerging needs), (2) built on supply chain management process (coordinating suppliers to meet surging demand, migrating to digital distribution channels and solidarity with supply chain members) and (3) related to customer relationship management process (investing in advertising and promotion, cross-selling to existing customers and supporting customers).

This study contributes to the literature of marketing responses to COVID-19 by examining the cash flows effects of various marketing responses. It also contributes to the business processes based on marketing strategy framework by extending it to the crisis management context. In addition, it provides five practical suggestions for business-to-business firms to cope with the COVID-19 crisis.

Purpose: Previous research has found that people’s trust in a source of information affects whether they will expose themselves to information from that source, pay attention to that source, and the likelihood that they will act on the information obtained from that source. This study tracked trends in levels of trust in different health information sources over time and investigated sociodemographic predictors of trust in these sources.

Methodology/Approach: Data were drawn from the Health Information National Trends Survey (HINTS), a nationally representative, cross-sectional survey of adults in the USA. Weighted percentages, means, and standard errors for trust in health information sources were computed using data from four iterations of the survey (2005, 2009, 2012, and 2013). Weighted multivariable logistic regression models were employed to investigate associations between sociodemographic variables and level of trust in health information sources using HINTS 2013 data.

Findings: Trend analyses revealed declining trust in “traditional” mass media channels, such as television and radio, for health information and consistently high trust in interpersonal sources, like physicians, over the past decade. Regression analyses showed that those with more education (ORs 2.93–4.59, p < 0.05) and higher incomes (ORs 1.65–2.09, p < 0.05) were more likely to trust the Internet for health information than those with less education and lower incomes. Non-Hispanic Blacks and Hispanics were more likely to trust mass media channels in comparison to Non-Hispanic Whites (ORs 1.73–2.20, p < 0.05).

Implications: These findings can be used to inform the strategic selection of channels for disseminating health information to certain demographic groups.

Access to a continuum of care from a family physician is an essential component of health and wellbeing. Refugees have particular barriers to accessing medical care. The MUN MED Gateway Project is a medical student initiative in partnership with a refugee settlement agency that provides access to and continuity of health care for new refugees, while offering medical students exposure to cross-cultural health care. This paper aims to report on the first six years of the project.

Here the paper reports on: client patient uptake and demographics, health concerns identified through the project, and physician uptake and rates of patient-physician matches.

Results demonstrate that the project integrates refugees into the health care system and facilitates access to medical care. Moreover, it provides learning opportunities for students to practice cross-cultural health care, with high engagement of medical students and high satisfaction by family physicians involved.

Research has shown that student run medical clinics may provide less than optimum care to marginalized patients. Transient staff, lack of continuity of care, and limited budgets are some challenges. The MUN MED Gateway Project is markedly different. It connects patients with the mainstream medical system. In a context of family physician shortage, this student-run clinic project provides access to medical care for newly arrived refugees in a way that is effective, efficient, and sustainable.

Language is a fundamental and yet extraordinarily powerful medium. Language is more than the primary feature distinguishing humans from other species. As our principle means of communication, language links us to culture, and in so doing, shapes our perceptions and determines the way in which we think (Clark, Eschholz & Rosa, 1981; Thorne, Kramarae & Henley, 1983). Language is inseparable from social life. Through language, individuals learn cultural patterns and political and social values (Mueller, 1973). Language also reflects the prejudices of society, with assumptions about relative status, power or appropriate behavior often built into the words we use to talk about different groups of people. As Frank and Anshen (1983) note, ageism, racism, and most importantly for this discussion, sexism, are all perpetuated by our language, even among those who consciously reject those prejudices.

Knowledge sharing in online health communities (OHCs) disrupts consumers' health information-seeking behavior patterns such as seeking health information and consulting. Based on social exchange theory, this study explores how the two dimensions of experts' free knowledge sharing (general and specific) affect customer transactional and nontransactional engagement behavior and how the quality of experts' free knowledge sharing moderates the above relationships.

We adopted negative binomial regression models using homepage data of 2,982 experts crawled from Haodf.com using Python.

The results show that experts' free general knowledge sharing and free specific knowledge sharing positively facilitate both transactional and nontransactional engagement of consumers. The results also demonstrate that experts' efforts in knowledge-sharing quality weaken the positive effect of their knowledge-sharing quantity on customer engagement.

This study provides new insights into the importance of experts' free knowledge sharing in OHCs. This study also revealed a “trade-off” between experts' knowledge-sharing quality and quantity. These findings could help OHCs managers optimize knowledge-sharing recommendation mechanisms to encourage experts to share more health knowledge voluntarily and improve the efficiency of healthcare information dissemination to promote customer engagement.