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The purpose of this study is to better understand social media (SM) factors that physician leaders need to consider, as they adapt their cross-boundary practices to engage with colleagues and patients. Firstly, this study explores why SM is being used by physicians to cross horizontal (physician to physician) and stakeholder (physician to patient) boundaries prior to COVID-19. Secondly, based on the studies reviewed, this study provides insights on the practical SM implications for physician leaders working in the COVID-19 environment to actively enhance their practices, reduce public confusion and improve patient care, thus informing health-care practices.

A systematic literature review was used to conduct a structured transparent overview of peer reviewed articles that describe physicians’ use of cross-boundary SM across several disciplines (e.g. health, information science). As a baseline assessment prior to COVID-19, the review synthesized 47 articles, identified and selected from six databases and Novanet. This study used NVivo 12 to thematical code the articles, leading to the emergence of four broad factors that influence SM use.

A key reason noted in the literature for physicians use of SM to cross horizontal boundaries is to share knowledge. Regarding stakeholder boundaries, the most cited reasons are to improve patient’s health and encourage behavioural changes. Insights garnered on the practical SM implications include the need for physicians to be stronger leaders in presenting trustworthy and consistent facts about health information to the public and fellow peers. As role models for the effective use of SM tools, physician leaders can mentor and coach their colleagues and counterparts.

As this was a literature review, the authors did not collect primary data to further explore this rapidly changing and dynamic SM world. Next steps could include a survey to determine firstly, how physicians currently use SM in this COVID-19 environment, and secondly, how they could leverage it for their work. Findings from this survey will help us better understand the role of physician leaders as health-care influencers and how they could better create trust and inform the Canadian public in the health information that is being conveyed.

Physician leaders can play a key role in positively influencing institutional support for ethical and safe SM use and engagement practices. Physicians need to participate in developing regulations and guidelines that are fundamentally to physician leader’s SM use. Central to this research would be the need to understand how physicians cross-boundary practices have changed during and potentially post COVID-19. Physician leaders also need to monitor information sources for credibility and ensure that these sources are protected. As role models for the effective use of SM tools, physician leaders can mentor and coach their colleagues and counterparts in this area.

Although there have been studies of how physicians use SM, fewer studies explore why physician leaders’ cross boundaries (horizontal and stakeholder) using SM. Important insights are gained in physician leaders practical use of SM. Key themes that emerged included: organizational and individual, information, professional and regulations and guideline factors. These factors strengthen physician leaders understanding of areas of foci to enhance their cross-boundary interactions. There is an urgency to study the complexity of SM and the effectiveness of regulations and guidelines for physicians, who are being required, at an accelerated rate, to strengthen and increase their cross-boundary practices.

Online trust is a key factor for successful online transactions. To some extent, online health consultation can be considered an online transaction. Owing to the unique physician–patient relationship, patients' choice of physicians within an online health consultation setting may not only be based on rational judgments but also considerably affected by their feelings. Hence, the purpose of this study was to explore which physicians' attributes affect patients' cognitive and affective trust in physicians, as well as how these two variables and their association affect patients' willingness to choose.

Based on the broad conceptual framework of online trust, this paper proposed a set of hypotheses that were tested through analyzing survey data using structural equation modeling techniques.

Results showed that physicians' ability had a significant positive influence on patients' cognitive trust in the physician; physicians' integrity and benevolence had a significant positive influence on patients' affective trust in the physician; cognitive and affective trust had a significant positive impact on patients' willingness to choose and there were significant positive interactions between affective and cognitive trust.

This study theoretically enriches the generic model of online trust. From the practical perspective, it will provide physicians working in online health consultation platforms and relevant practitioners with baseline information on the topic and advice for decision-making toward service enhancement and clientele improvements.

Several trends such as improved access to health care information via the internet, the growth of self‐help groups and expenditure on alternative medicine signals consumers are taking an active role in their own health management. Chronic illnesses such as diabetes and asthma require a significant amount of self‐management and thus call for a collaborative patient‐physician relationship. This study explores whether empowering patient‐physician consultations measured through three patient empowerment dimensions (patient control, patient participation, physician support) enhance patients trust in and commitment to their physician.

A comprehensive mail survey of adults registered with one of four different chronic illness associations in Australia was conducted to collect the data.

The structural equation modelling results show that patients are more trusting of and committed to physicians who adopt an empowering communication style with them.

This study focuses on the Australian healthcare context. Thus, future multinational studies should explore suitable strategies to empower healthcare consumers that build on the constraints placed by diverse healthcare systems.

In a managed health care and cost cutting climate where patient trust is deteriorating, these findings suggest that empowering patients presents a means to improve the patient‐physician relationship.

Whilst numerous marketing scholars have researched the empowerment of staff, there is a shortage of studies that address the meaning and outcomes of consumer empowerment. This study proposes a unique communication based consumer empowerment construct which is shown to impact on consumer‐service provider relationships.

The impact of image is widely investigated in various research fields. However, its effect in online health communities is rarely studied. In this research, the authors develop a theoretical model to assess the impact of physicians' image on patients' choices in online health communities.

The authors developed a web crawler based on R language program to collect more than 40,000 physicians' images and other related information from their homepages in Haodf.com–a leading online health community in China. The features of physicians' images are computed by Face++ Application Programming Interface (API) through the following variables: beauty, smile and skin status.

The empirical results derive the following findings: (1) physician's beauty or physical attractiveness has no significant effect on patients’ choice; (2) Smile has a positive effect on patients’ choices; (3) Physician's skin status also positively affects patients' choices; (4) Physician's professional capital strengthens the effect of beauty, smile and skin status on patients' choices; (5) Beauty and skin status are the substitutes for each other, and smile and skin status are the substitutes for each other too.

Also, this study provides implications for both physicians and online health community platform managers.

This study provides new evidence in understanding the impact of physician's online image and contributes to the literature on signaling theory, impression management theory and patients' choices.

The purpose of this paper is to develop a framework for the application of evidence-based management to chronic disease healthcare.

Chronic healthcare is specially characterized by recursive patient-physician interactions in which evidence-based medicine (EBM) is applied. However, implementing evidence-based solutions to improve healthcare quality requires managers to effect changes in many different areas: organizational structure, procedures, technology and in physician/provider behaviors. To complicate matters further, they must achieve these changes using the tools of resource allocation or incentives. The literature contains many systematic reviews evaluating the question of physician and patient behavior under various types and structures of incentives. Similarly, systematic reviews have also been done regarding specific changes to the healthcare process and their effectiveness in improving patient outcomes. Yet, these reviews uniformly lament a lack of appropriate data from well-organized studies on the question of “Why?” solutions may work in one instance while not in another. The authors present a new theoretical framework that aids in answering this question.

This paper presents a new theoretical framework (Influence Model of Chronic Healthcare) that identifies: the critical areas in which managers can effect changes that improve patient outcomes; the influence these areas can have on each other, as well as on patient and physician behavior; and the mechanisms by which these influences are exerted. For each, the authors draw upon, and present the evidence in the literature. Ultimately, the authors recognize that this is a complex question that has not yet been fully researched. The contribution of this model is twofold: first, the authors hope to focus future research efforts, and second, provide a useful heuristic to managers who must make decisions with only the lesser-quality evidence the literature contains today.

This model can be used by managers as a heuristic either ex ante or ex post to determine the effectiveness of their decisions and strategies in improving healthcare quality. In addition, it can be used to analyze why actions or decisions taken achieved a given outcome, and how best to proceed to effect further improvements on patient outcomes. Last, the model serves to focus attention on specific questions for further research.

The aim of this paper is to identify factors (i.e. age, gender, ethnicity, type of medical facility, geographical location, etc.) associated with physicians' prescribing behavior when treating influenza in the USA. The study aims to examine why the number of antiviral prescriptions remains substandard.

Data were obtained from the National Ambulatory Medical Care Survey for each influenza season between the years of 2005-2008. Bivariate analyses and two models of multivariate logistic regression analyses (one with no fixed effect and the other including year as a fixed effect) were used to analyze the data.

The results from this study revealed that among family practice physicians, 40.5 percent prescribed antiviral medications to patients presenting with influenza while 59.5 percent prescribed another form of medication. Antibiotics comprised 41.3 percent of the prescriptions for treatment of influenza. Multivariable logistic regression analyses revealed that race (White; p=0.023), type of health setting (private solo/group practice; p=0.041), employment status (owner; p=0.046), and metropolitan location (metropolitan statistical area; p=0.032) were all significantly associated with prescribing antivirals. Patients' expected source of payment (private insurance) and geographical location (Midwest) of health facility were marginally associated with prescribing antivirals.

By identifying factors associated with physicians' prescribing practices of antiviral medications, a more timely diagnosis and treatment of influenza can occur. Efforts should be targeted to improve physician education and awareness of the illness. Interventions may be implemented to improve the prescribing of antiviral medications and potentially inappropriate prescribing.

Visit time is a crucial aspect of patient–physician interaction; its inadequacy can negatively impact the efficiency of treatment and diagnosis. In addition, visit time is a fundamental demand of patients, and it is one of the rights of every patient. The purpose of this paper is to determine factors influencing the consultation length of physicians and to compare consultation length in different countries.

MEDLINE (PubMed), Web of Science, Cochrane, ProQuest, Scopus, and Google Scholar were searched. In addition, references of references were checked, and publication lists of individual scholars in the field were examined. We used data sources up to June 2018, without language restriction. We used a random-effects model for the meta-analyses. Meta-analyses were conducted using Comprehensive Meta-Analysis Version (CMA) 3.0.

Of 16,911 identified studies, 189 studies were assessed of which 125 cases (67 percent) have been conducted in the USA. A total of 189 studies, 164 (86.77 percent) involved face-to face-consultations. The effects of three variables, physician gender, patient gender, and type of consultation were analyzed. According to moderate and strong evidence studies, no significant difference was found in the consultation lengths of female and male doctors (Q=42.72, df=8, I²=81.27, p=0.891) and patients’ gender (Q=55.98, df=11, I²=80.35, p=0.314). In addition, no significant difference was found in the telemedicine or face-to-face visits (Q=41.25, df=5, I²=87.88, p=0.170).

In this systematic review and meta-analysis, all of physicians’ visits in 34 countries were surveyed. The evidence suggests that specified variables do not influence the length of consultations. Good relationship is essential to a safe and high-quality consultation and referral process. A high-quality consultation can improve decisions and quality of visits, treatment effectiveness, efficiency of service, quality of care, patient safety and physician and patient satisfaction.

The purpose of this paper is to draw on previous work in multiple disciplines to establish a theoretical framework for clinical decision-making that incorporates non-medical factors, such as race/ethnicity, into the way physicians make decisions in the practice of medicine. The proposed Rapid Clinical Decision in Context (RCDC) model attempts to understand the influence of various contextual elements on physicians’ decision-making process. The RCDC model provides a basis for future studies to move beyond documentation of areas where disparities exist to understand the causes of the disparities and designing interventions to address those causes. The paper concludes with a discussion on possible studies to test the proposed model.

As one of the five major dimensions of service quality, empathy has been and continues to be regarded as a requirement for a successful service encounter. This paper focuses on the highly customer-centric service industry of health care. The purpose of this paper is to shed light on the potential negative effects of empathy on both the physician and the patient.

Building on an in-depth review of literature and well-established service quality models, the authors propose a new model for understanding the complex role of physician empathy in the physician–patient encounter. The trait, emotional intelligence (EI), is presented as a moderator for physician empathy levels.

The Health Care Optimal Physician Empathy (HOPE) model enables further characterization and analysis of the tradeoffs between patient satisfaction and physician burnout and determining when empathy optimally works to the benefit of both the physician and the patient to maximize service quality. The HOPE model provides a systematic way to understand and determine the appropriate level of physician empathy that results in optimal outcomes for both physicians and their patients by demonstrating the tradeoffs between physician burnout and patient satisfaction.

The authors highlight the potential detrimental effects on physicians themselves, and, in turn, on service quality. The theoretical and practical implications in this paper provide insights into the development and implementation of empathy-focused interventions and best practices to optimize service quality in the physician–patient interaction. The HOPE model is the first of its kind in shedding light on the manifestation of physician empathy.

The purpose of this paper is to explore the influence of a physician’s prosocial behavior on a patient's choices in the online health community (OHC) context. Moreover, the authors explore how such effects differ across different online word-of-mouth (WOM) and professional titles.

Guided by the motivation, opportunity and ability (MOA) framework, this paper develops hypotheses and an econometric model. Then this paper used spline regression to test hypotheses on 6,204 physicians at The Good Doctor (www.Haodf.com), which is one of the largest Chinese OHCs. The authors conducted the propensity score matching and difference-in-difference method (PSM-DID) to address the concern about the bias caused by possible endogeneity concerns.

The authors’ results show that a physician’s prosocial behavior improves a patient's choice only when the strength of a physician’s prosocial behavior is below the tipping point. In addition, the influence of a physician’s prosocial behavior is heterogeneous for physicians with different online WOM and professional titles. For physicians with higher online WOM, the effect of a physician's prosocial behaviors on a patient's choice is positive, while for physicians with lower online WOM, a physician’s prosocial behavior has no impact on a patient’s choice. For physicians with higher professional titles, the quantity of a physician’s prosocial behavior has a positive impact on a patient’s choice, while for physicians with lower professional titles the quality of a physician’s prosocial behavior has a positive impact on a patient’s choice.

This study contributes new knowledge and provides new perspectives to study a patient's choice by addressing the importance of physician's prosocial behavior. With the effort of explicitly explaining the complex mechanisms, this study encourages physicians' engagement in a physician’s prosocial behavior and gives some implications on how to perform the behaviors strategically.