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Medical tourism encourages the traveling of patients, expert healthcare professionals and promotes cross-border trade in healthcare services. The Indian medical tourism sector is facing new challenges as well as certain ethical and legal issues because of continuous market changes and patient’s requirements while at the same time advancements in current health services have also been observed. It is therefore very important to understand and address the issues of the medical tourists. The purpose of this paper is to evaluate the important factors which can make India an affordable medical tourism destination.

In this paper, the factors influencing Indian medical tourism sector have been explored by conducting literature review, they are ranked according to the results of a questionnaire-based survey and further analyzed by using the interpretive structural modeling (ISM) approach. The mutual relationships between these factors were identified to develop an ISM model so as to find out the important factors which can make India an affordable place for medical tourism.

The results of the survey and the model show that cost of medical procedures, facilitation, and care, the infrastructure of Indian hospitals, clinical excellence and the competence of doctors and staff are the top level factors.

It is very important to address the concerns of the patients coming to a developing country like India for availing medical services. This research has evaluated the important factors which can make India an affordable medical tourism destination.

This research assesses the effects of globalization on delivery of healthcare services in India by conducting critical analysis of the medical tourism industry by collecting original data from the international patients coming to India for different types of medical procedures so that a comprehensive model can be prepared which will help the hospitals and policymakers to improve the processes related to medical tourism.

The purpose of this paper is to develop a comprehensive framework to identify and classify key medical tourism enablers (MTEs) and to study the direct and indirect effects of each enabler on the growth of medical tourism in India.

In this paper, an integrated approach using interpretive structural modeling (ISM) and Fuzzy Matrice d'Impacts Croisés Multiplication Appliquée á un Classement (FMICMAC) analysis has been developed to identify and classify the key MTEs, typically identified by a comprehensive review of literature and expert opinion. The key enablers are also modeled to find their role and mutual influence.

The key finding of this modeling helps to identify and classify the enablers which may be useful for medical tourism decision makers to employ this model for formulating strategies in order to overcome challenges and to become a preferred medical tourism destination. Integrated model reveals enablers such as medicine insurance coverage, international healthcare collaboration, and efficient information system as dependent enablers. No enabler is found to be autonomous enablers. The important enablers like healthcare infrastructure facilities and global competition are found as the linkage enablers. Research in medicine and pharmaceutical science, medical tourism market, transplantation law, top management commitment, national healthcare policy, competent medical and para-medical staffs are found as the independent enablers. Integrated model also establishes the direct and indirect relationship among various enablers.

The research provides an integrated model using ISM and FMICMAC to identify and classify various key enablers of medical tourism in India. In conventional cross-impact matrix multiplication applied to classification analysis, binary relationship of various enablers is considered. FMICMAC analysis helps to establish possibility of relationship among various enablers so that low-key hidden factors can be identified. The low-key hidden factors may initially exhibit marginal influence but they may show significant influence later on during analysis. The uncertainty and fuzziness of relationship among various enablers can be conveniently handled by FMICMAC and expert opinions can easily be captured. This research will help medical tourism decision makers to select right enablers for the growth of medical tourism in India.

This paper examines the factors that influence behavioral intention in the context of medical tourism in Türkiye. With the growing popularity of Türkiye as a destination for medical tourism, it is essential to understand the key determinants influencing individuals’ intention to engage in medical tourism activities.

This study used the Extended Theory of Planned Behavior (E-PBT) variables, which include attitude, subjective norm and perceived behavioral control, to measure their influence on behavioral intention. In addition, a customer experience scale was used to assess the influence of dimensions such as education, entertainment, aesthetics and escapism on behavioral intention. The research instrument was validated by expert review, and data were collected using purposive sampling. A total of 420 surveys were deemed suitable for analysis.

The path analysis revealed that attitudes and perceived behavioral control positively impacted behavioral intention within the domain of medical tourism in Türkiye. Conversely, subjective norms did not have a significant positive effect on behavioral intention. Furthermore, it was observed that the dimensions of entertainment, escape and aesthetics positively affected behavioral intention. However, education and aesthetics did not significantly influence behavioral intentions.

The results of this paper have practical implications for marketers and policymakers in the medical tourism industry in Türkiye. Understanding the factors that drive individuals’ behavioral intentions can assist in developing effective marketing strategies to attract and serve potential medical tourists. Medical tourism providers can enhance their services by optimizing attitudes and perceived behavioral control while emphasizing entertainment and escapism for their clientele.

This research focuses on uncovering factors influencing individuals’ behavioral intentions in medical tourism in Türkiye. Using the E-PBT framework and exploring the dimensions of the customer experience scale, this study aimed to understand the driving forces behind individuals’ decisions to engage in medical tourism.

This study aims to explore the consumer perceptions of cognition and intention to visit pilot zone of international medical tourism as emerging, developed medical tourism destinations.

Using a survey-based quantitative method, based on a survey of 439 tourists who have cross-border travel experience, the partial least squares approach was performed to test the hypotheses.

The results show that internal factors had a stronger influence on destination image compared to external factors. Among different factors, preferential policies had the greatest impact on intention to visit. Perceived quality had a stronger effect on intention to visit than preference. Geographical distance had a varied effect, with those furthest away in Northeast China showing greater intention to visit compared to closer regions.

This study explores the impact of multidimensional destination perception on medical tourists’ behavioural intention in emerging destinations by integrating the push-pull theory and theory of planned behaviour and tests how geographical distance affects intention to visit emerging destinations. Using China international medical tourism pilot area as a typical case of medical tourism emerging destinations for empirical analysis. This research offers guidance for branding and marketing strategies, contributes to a deeper understanding of medical tourists’ destination choices, enriches the theoretical explanation of emerging destination choice in medical tourism and provides valuable insights for destination recovery.

Is humanity heading to immortal living? If so, what areas of society are playing an active role in achieving this? In order to understand this, the study explores the relationship between immortality and the wellness and medical tourism industry to seek potential relationships between them and ultimately, asks difficult questions about the growth of these tourism sectors and the potential need for greater regulation of them.

Taking a pragmatic philosophical approach and through the examination of refined information from secondary sources and published material and reports, the study presents original theoretical knowledge and a model exploring tourism and human immortality.

This paper argues that continued growth in the wellness and medical markets today could lead to a world where transhumanists and cyborgs are present in our world, even taking over from Homo sapiens. The study presents a model highlighting the potential role of wellness and medical tourism markets, illustrating the potential for future consumer services that could further fuel the search for immortality. Thus, how such markets and consumer desires are (in)directly supporting humanities desire for (non-human) immortal existence.

Today, individuals are driven by wellness practices and medical and cosmetic desires and are willing to travel the globe in search of companies who are either capable of carrying out the desired procedures or seeking prices more affordable to them. This research offers novel insights into these complex relationships and maps the affiliation between wellness and medical practices and the concept of immortality.

The purpose of this article is to identify enabling and inhibiting factors that influence patients during their consideration of medical tourism for their healthcare requirement. The research provides marketing and practice implications that help in promoting medical tourism service. Furthermore, the paper provides evidence from medical tourism service to establish the relationship between resource integration and adoption of the service.

The article takes a two‐pronged exploratory study approach, with study one focusing on analysing prospective medical tourists' emotional impediments in their consideration of the service, while study two analyses the factors that helped medical tourists who have already availed the service, overcome the impediments.

In this article, it is identified that resource integration, particularly social resources, has a major impact on individual's decision to adopt a service. The exploratory study indicates that perceived knowledge disadvantage, lack of perceived control, and lack of social support in the destination country lead causes emotional discomfort to medical tourists. The study also indicates that the ability to integrate social resources available to them helped prospective medical tourists in their assessment of medical tourism service prior to adopting it. The article establishes that integration of social resources enables the patients to overcome the emotional discomfort and thus pursues to adopt medical tourism service.

While previous medical tourism service research has primarily focused on cognitive factors in patients' decision making such as quality and cost of healthcare services in destination countries, this article throws light on the enabling and inhibiting factors that influence adoption of medical tourism service.

Health-care tourism has become a major industry in the past decade. Following the increasing activity in health-care tourism, the decision-making process of consumers in choosing an international health-care facility has become increasingly important to the related parties. The present study aims to offer a holistic model of international health-care facility choice that incorporates the important dimensions by assessing the growth drivers and the alternative factors proposed in the literature and by validating them via a survey study.

The factors deemed important in the existing literature were used as the basis of a study in Turkey. In total, 65 structured interviews were conducted with health-care professionals and international health tourists to understand the perspective of the two important parties that affect policymaking.

The findings of the study support the significance of the majority of the variables proposed as important factors affecting international health-care facility choice.

The study was carried out in four large hospital chains in Turkey; however, this creates a limitation in scope and may have limited representativeness of the overall market. The model has yet to be tested on a larger scale.

There are significant differences in the opinions of professionals and international health-care tourists in terms of choice criteria. This indicates problems with health professionals’ understanding of the consumer decision process.

The study provides a model that can be used to gain insights on the consumer decision process and also provides the policymakers and stakeholders of the international health-care industry with a sound theoretical foundation to build further studies upon. Only a limited number of studies was carried out in Turkey that focus on international health-care tourism, and the present study will fill a substantial research gap.

Medical tourism, characterized by patients leaving their home community to seek health-care services elsewhere, is on the rise globally. In New York state, approximately 5% of the 35,661,559 hospital visits in 2018 were non-residents. Although some are visiting New York for other reasons, and unintentionally wind up hospitalized – a percentage of this population come to New York intentionally to seek care. Understanding the make-up, needs and patterns of this population allows hospitals to tailor investments in marketing, technological resources and culturally responsive initiatives to prepare for broadening their patient population and remain competitive globally.

Using a rich all-hospital discharge data set, the authors identify patterns in diagnoses, treatment and hospital choice of patients who intentionally travel across borders for health care. The authors model the characteristics associated with “elective” admit patients with a multivariate logistic regression approach.

The authors find that among non-resident patients in New York, domestic travelers, those using insurance plans for payment and women are positively associated with seeking elective inpatient care across border. There are clear patterns of type of treatment that is more likely to be sought, with care for musculoskeletal concerns accounting for more than one-third of all non-resident elective admissions. Proximity also matters, both in terms of patients being more likely to live in a travel zone adjacent to the state, as well as being more likely to seek care from hospitals in counties closest to the borders.

To the best of the authors’ knowledge, this is the first study, using a large set of claims data, that is able to empirically differentiate between patients who travel to NY for the primary purpose of obtaining health care versus those who emergently must access care while traveling for other reasons. This approach can inform future studies seeking to better understand patient migration patterns and strategic educational and marketing initiatives to motivate consumers to cross borders to seek care.

This paper aims to evaluate the potential of 24 country-level measures for predicting the number of outbound international medical travelers into the USA, including health and healthcare system, economic, social and diplomatic and travel pattern factors. Medical travel is recognized as a growing global market and is an important subject of inquiry for US academic medical centers, hospitals and policy makers. Few data-driven studies exist to shed light on efficient and effective strategies for attracting international medical travelers.

This was a retrospective, cross-sectional study of the 194 member and/or observer countries of the United Nations. Data for medical traveler volume into the USA between 2008 and 2010 were obtained from the USA Department of Commerce, Office of Travel and Tourism Industries, Survey of International Air Travelers. Data on country-level factors were collected from publicly available databases, including the United Nations, World Bank and World Health Organization. Linear regression models with a negative binomial distribution and log link function were fit to test the association between each independent variable and the number of inbound medical travelers to the USA.

Seven of the 24 country-level factors were significantly associated with the number of outbound medical travelers to the USA These factors included imports as a per cent of gross domestic product, trade in services as a per cent of gross domestic product, per cent of population living in urban areas, life expectancy, childhood mortality, incidence of tuberculosis and prevalence of human immunodeficiency virus.

Results of this model provide evidence for a data-driven approach to strategic outreach and business development for hospitals and policy makers for attracting international patients to the USA for medical care.

The model developed in this paper can assist US hospitals in promoting their services to international patients as well as national efforts in identifying “high potential” medical travel markets. Other countries could also adapt this methodology for targeting the international patient market.