Search results

This paper aims to reveal the factors patients consider when choosing a doctor for consultation on an online medical consultation (OMC) platform and how these factors influence doctors' consultation volumes.

In Study 1, influencing factors reflected as service features were identified by applying a feature extraction method to physician reviews, and the importance of each feature was determined based on word frequencies and the PageRank algorithm. Sentiment analysis was used to analyze patient satisfaction with each service feature. In Study 2, regression models were used to analyze the relationships between the service features obtained from Study 1 and the doctor's consultation volume.

The study identified 14 service features of patients' concerns and found that patients mostly care about features such as trust, phraseology, overall service experience, word of mouth and personality traits, all of which describe a doctor's soft skills. These service features affect patients' trust in doctors, which, in turn, affects doctors' consultation volumes.

This research is important as it informs doctors about the features they should improve, to increase their consultation volume on OMC platforms. Furthermore, it not only enriches current trust-related research in the field of OMC, which has a certain reference significance for subsequent research on establishing trust in online doctor–patient relationships, but it also provides a reference for research concerning the antecedents of trust in general.

Recommending suitable doctors to patients on healthcare consultation platforms is important to both the patients and the platforms. Although doctor recommendation methods have been proposed, they failed to explain recommendations and address the data sparsity problem, i.e. most patients on the platforms are new and provide little information except disease descriptions. This research aims to develop an interpretable doctor recommendation method based on knowledge graph and interpretable deep learning techniques to fill the research gaps.

This research proposes an advanced doctor recommendation method that leverages a health knowledge graph to overcome the data sparsity problem and uses deep learning techniques to generate accurate and interpretable recommendations. The proposed method extracts interactive features from the knowledge graph to indicate implicit interactions between patients and doctors and identifies individual features that signal the doctors' service quality. Then, the authors feed the features into a deep neural network with layer-wise relevance propagation to generate readily usable and interpretable recommendation results.

The proposed method produces more accurate recommendations than diverse baseline methods and can provide interpretations for the recommendations.

This study proposes a novel doctor recommendation method. Experimental results demonstrate the effectiveness and robustness of the method in generating accurate and interpretable recommendations. The research provides a practical solution and some managerial implications to online platforms that confront information overload and transparency issues.

The use of supportive digital technology – the provision of supportive services and self-management health tools using digital platforms – by marketers is increasing alongside research interest in the topic. However, little is known about the motivations to use these tools and which tool features provide different forms of social support (informational, emotional, instrumental, network or esteem). The purpose of this paper is thus to explore consumer perceptions of supportive healthcare self-management and preferences for different levels of interactive features as social support in a health services context.

A qualitative approach involving 30 semi-structured interviews with consumers interested in two common preventative health services that use supportive digital tools (SDTs) (skin-cancer checks and sexually transmitted infection checks) was undertaken. Thematic analysis was used to analyse the verbatim transcripts.

This research identified there is a lack of motivation to initiate the search for SDTs; consumers are motivated by a desire to control and monitor health concerns and avoid overuse of the health system. The findings showed a preference for social support to go beyond informational support, with a need for interactivity that personalised support in a proactive manner.

SDTs are positively perceived by consumers as part of health services. The motivation to use these tools is complex, and the social support needed is multifaceted and preferably interactive.

This research assists service marketers to better design informational and instrumental support for preventative self-managed healthcare services.

This paper extends knowledge about the motivation and social support required from SDTs in a preventative health service context.

Short-form health science videos have become an important medium for disseminating health knowledge and improving public health literacy. However, the factors that determine viewer engagement are not well understood. This study aims to address this research gap by investigating the association between doctor image features and viewer engagement behavior, building on the personal branding theory and information signaling theory.

A sample of 1245 health science short-form videos was collected, and key video features related to doctor images were extracted through manual labeling. Multi-variable regression analysis and SPSS process model were employed to test the hypotheses.

The results show that doctor image features are significantly associated with viewer engagement behavior. Videos featuring doctors in medical uniforms receive more viewer likes, comments and shares. Highlighting the doctor's title can increase viewer collections. Videos shot in a home, white wall, or study room setting receive more like, comments and sharing. The doctor's appearance demonstrates a positive nonlinear relationship with viewer likes and comments. Young doctors with title information tend to attract more video collections than older doctors with title information. The positive effect of the doctor's appearance and showing title information, become more significant among male doctors.

This research provides novel insights into the factors that determine viewer engagement behavior in short-form health science videos. Specific doctor image features can enhance viewer engagement by signaling doctor professionalism. The results also suggest that there may be age and gender biases in viewers' perceptions.

There is an increasing need for a better understanding of healthcare service marketing in social media. This paper aims to examine Under the framework of positioning theory, popular Instagram posts related to #plasticsurgery and their accounts were analyzed and the relationships between the posts’ attributes and the number of user comments and likes were examined.

A total of 272 posts associated with #plasticsurgery and their account profiles were analyzed.

Plastic surgery procedures were positioned on Instagram primarily by doctors and celebrity patients who were motivated by self-promotion. Doctors often omitted their medical credential information from their account profile and posts while featuring their vanity photos, emojis and consultation solicitations. They showed patients as the objects of surgery. On the other hand, patients positioned themselves as individuals with the agency by showing their faces rather than focusing on their body parts. Instagram users responded better to the doctors who positioned themselves more as business owners than medical professionals by soliciting consultations, offering discounts, displaying surgery photos and using emojis. In responding to patient posts, Instagram users liked under-dressed images more than fully clothed images and commented more on before-and-after photos than others.

In Instagram, doctors positioned themselves as self-interested providers of plastic surgery services, whereas patients positioned themselves as active consumers. Medical professionals’ social media activities should be more closely monitored to protect patient safety and the trust between patients and doctors.

This study shed light on how doctors and patients position themselves on social media and how they are received by social media users in the context of #plasticsurgery on Instagram.

With the increasing dependence on market-based distribution of health-care resources in the USA, spending on health-care service advertisements directly targeting consumers has also increased. Previous research has shown that the ads fail to deliver information deemed essential by regulators. Nevertheless, the attitude of consumers toward health-care service advertising has been more positive than negative. The purpose of this study is to create a taxonomy of advertising information features to better describe the relationships between information features in the advertisements and consumer attitudes toward them.

A cross-sectional survey was conducted with 128 health-care consumers in a western state in the USA.

Factor analysis generated seven groups of information features. Among them, information features about access, cost and quality of care were rated as most helpful, whereas providers’ clinical qualifications and communication were rated least helpful. The advertising attitude measure was validated to contain two subscales, one regarding health-care service advertising and the other regarding physicians who advertise. People who highly rated the consumerism features had more positive attitudes toward health-care service advertising and people who highly rated provider clinical qualification features had more negative attitudes toward advertising physicians.

This study made methodological improvements in health-care service advertising research that would be crucial for its theoretical development. It also shed light on consumer characteristics and perceptions about information features that could influence their attitudes toward health-care service advertising.

This study aims to assess Japanese patients' healthcare service quality perceptions and to shed light on the most meaningful service features. It follows‐up a study published in IJHCQA Vol. 21 No. 7.

Through a non‐linear approach, the study relied on the scatter model to detect healthcare service features' importance in forming overall quality judgment.

Japanese patients perceive healthcare services through a linear compensatory process. Features related to technical quality and staff behavior compensate for each other to decide service quality.

A limitation of the study is the limited sample size. Non‐linear approaches could help researchers to better understand patients' healthcare service quality perceptions. The study highlights a need to adopt an evolution that enhances technical quality and medical practices in Japanese healthcare settings.

The study relies on a non‐linear approach to assess patient overall quality perceptions in order to enrich knowledge. Furthermore, the research is conducted in Japan where healthcare marketing studies are scarce owing to cultural and language barriers. Japanese culture and healthcare system characteristics are used to explain and interpret the results.

The purpose of this paper is to investigate the way technology affects the provision of prehospital emergency care, upgrading the quality of services offered and significantly reducing the risk of premature termination of the patients.

The paper presents the development of the eEKAB, a pilot emergency medical information system that simulates the main services offered by the Greek National Instant Aid Centre (EKAB). The eEKAB was developed on an agile system methodology. From a technical perspective, the features and the technology were mainly chosen to provide reliable and user-friendly interfaces that will attract many users. eEKAB is based on three important pillars for offering health care to the patients: the “On-time Incident Reporting”, the “On-time Arrival at the Incident” and “Transfer to the Health Center”. According to the literature review, the emergency medical services (EMS) systems that combine all the features are very few.

It reduces the total time of the EMS procedures and it allows for an easier management of EMS, by providing a better allocation of human resources and a better geographical distribution of ambulances. The evaluation displayed that it is a very helpful application for the ambulance drivers as it reduces the ambulance response time to arrive in the patient's location and contributes significantly to the general performance of the prehospital medical care system. Also, the survey verified the importance of implementing eEKAB on a larger scale beyond the pilot usage. It is worth mentioning that the younger ambulance drivers had a more positive view for the purpose of the application.

The paper clearly identifies implications for further research. Regarding interoperability, the mobile app cooperates with the Operational Center of EKAB, while further collaboration could be achieved with other operational ambulance handling center, mainly, of the private sector. The system can evolve to include better communications among the EKAB departments. Particularly, the ambulance crew as well as the doctors should be informed with more incident features such as the emergency signal so that they know whether to open the siren, the patient's name, etc. The authors are currently working on implementing some features to provide effective medical health services to the patient in the ambulance.

eEKAB will have very significant implications in case of its enforcement, such as the reduction of the total time of EMS procedures with a corresponding reduction of the operating costs of an accident management system and an ambulance fleet handling system while in parallel informing in time the doctors/clinics. It will provide better distribution of ambulances as well as of total human resources. It will greatly assist ambulance drivers, while reducing ambulance response time to reach the patient's location. In other words, the authors will have a better performance of the whole prehospital care system.

Providing emergency care before the hospital is of great importance for upgrading the quality of health services provided at the accident site, thus significantly reducing the risk of premature death of patients. This in itself has a significant social implication.

The paper demonstrates a solid understanding in the field of the EMS systems and the corresponding medical services offered. It proposes the development of an effective, feasible and innovative EMS information system that will improve the existing emergency health care system in Greece (EKAB). An in depth literature review and presentation of the adopted new technologies and the respective architecture take place. An evaluation and statistical validation were conducted for proving the high applicability of eEKAB in case of real-life running.

The purpose of this paper is to explore the key aspects of service quality within the outpatient context. The secondary aim is to compare views on quality of health service by Caucasian and non-Caucasian patients in Australia.

A mixed-method approach was adopted for this study. Qualitative data were collected from 40 patients to develop a scale for measuring health service quality. Quantitative data were collected using self-administered questionnaires available in English, Arabic, Persian, Chinese and Vietnamese. A total of 447 patients in six outpatient clinics completed the survey and data were analyzed using the structural equation modeling technique.

The qualitative findings determined eight dimensions of quality for outpatient care as follows: doctor professionalism; doctor empathy; doctor expertise; treatment outcome; staff concern; timeliness; tangibles; and operation. The quantitative findings indicated that factors related to technical aspect of care, including doctor expertise and treatment outcome were assumed the strongest predictors of overall health care quality in both Caucasian and non-Caucasian groups. Furthermore, no significant discrepancy was found between these two groups’ ratings of overall service quality and satisfaction with care.

The study captured ethnically diverse patients’ perspectives on health service quality and highlighted the significance of technical quality, which is generally neglected in service quality measures.

This paper aims to outline and comment on the changes to medical regulation in the UK that provide the background to a special issue of the Journal of Health Organization and Management on regulating doctors.

This paper takes the form of a review.

Although the UK medical profession enjoyed a remarkably stable regulatory structure for most of the first 150 years of its existence, it has undergone a striking transformation in the last decade. Its regulatory form has mutated from one of state‐sanctioned collegial self‐regulation to one of state‐directed bureaucratic regulation. The erosion of medical self‐regulation can be attributed to: the pressures of market liberalisation and new public management reforms; changing ideologies and public attitudes towards expertise and risk; and high profile public failures involving doctors. The “new” UK medical regulation converts the General Medical Council into a modern regulator charged with implementing policy, and alters the mechanisms for controlling and directing the conduct and performance of doctors. It establishes a new set of relationships between the medical profession and the state (including its agencies), the public, and patients.

This paper adds to the literature by identifying the main features of the reforms affecting the medical profession and offering an analysis of why they have taken place.