Search results

This article aims to know the direction of current research based on the previous research in the last ten years (2012–2021).

Text mining was integrated with a network and content analysis as part of the mix methodological approach. The scientific articles, on the other hand, were assembled on Litmaps through web scraping. This process selected 86 articles about medical tourism published between 2012 and 2021. This study employed AntConc, RStudio and Gephi tools for data analysis and visualization.

A total of 138 articles were identified through Litmaps using web scraping and 86 studies met the criteria. The trend of medical tourism research is a positive sign for tourism and health industries; this is the beginning to recognize the importance of elaborating on these two topics. Several researchers have frequently studied issues of destination, hospital, development, quality, stakeholders, surgery, service, economics and policy. Policymakers must establish a medical tourism ecosystem to accommodate all stakeholders in this industry. This study also recommends focusing on supply and institution for medical tourism future research.

This literature review presents research trends on medical tourism in 2012–2021 based solely on articles available on the Litmaps search engine. If the time span is extended and the sources of articles are expanded there will be more literature available for analysis. The articles obtained are also only articles published in English due to the language limitations of the author.

Policymakers must establish a medical tourism ecosystem to accommodate all stakeholders in this industry. Stakeholders must work together to provide medical tourism package therefore people can get their health services while visiting available tourist areas.

The literary study of medical tourism over 10 years is considered the most recent systematic literature review.

This paper explores medical tourism development challenges in the United Arab Emirates (UAE) pre- and during Covid-19. Medical tourism is becoming a dynamic, rapid growth area and an engine of economic development.

In-depth interviews were conducted with medical tourism professionals. Fourteen medical tourism stakeholders were interviewed from 1 January to 31 January 2020. Qualitative thematic analysis was applied on medical tourism challenges before and during the pandemic.

The major themes indicated concerns for medical tourism in the UAE and they included higher medical services costs and a shortage of highly qualified medical expertise. The emerging themes related to the challenges of coping with Covid-19 and strategies to attract medical tourists.

This study contributes towards (1) the theory of medical tourism, (2) the related limited prior published work on this topic relating to the UAE and (3) the importance of medical tourism in today’s tourism industry. Additionally, there are theoretical and practical implications for medical tourism stakeholders in terms of attracting inbound medical tourists to the UAE from other countries during the Covid-19 crisis and in the post-pandemic situation.

Medical tourism has grown to become a formidable multinational industry to generate revenue. This phenomenon has also increased impact on the healthcare sector as well as strategies development opportunities. The present study emphases on the international tourists' behavioural intention for medical tourism in Malaysia. A research framework is derived from the exceptional component of fear appeal in protection motivation theory (PMT).

Data were collected with a sample of 501 respondents and analysed via structural equation modelling approach. Both measurement model and structural model were assessed to generate the result.

The outcomes have shown a good backing on the use of adapted PMT theoretical model. There is a higher predictive power on health coping than health threats. Coping alternatives can be served as the linkage between the PMT appraisals and behavioural intention.

The study confirmed the effectiveness of using a theoretical framework in predicting international tourists' behavioural intention for medical tourism. It is suggesting that risk adaptive behaviour does offer a valuable proposition in contributing to the reception of medical tourism.

The present study argues the need for greater clarity in understanding the emergent implications for health policy and healthcare delivery for future medical tourism development.

The fundamental theories and current literature do not incorporate the component of fear appeal in explaining decision making. The study findings demonstrate that protection motivation theory has provide another promising theoretical model in explaining international tourists' behaviour intention for medical tourism.

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 focus on the emerging phenomenon of medical tourism in the context of Iran from a customer experience management perspective and benchmark of their judgment including positive or negative, of the experience they have achieved of the Iranian health (medical) experience (CE) and suggest scenarios for the improvement of the Iranian customer experience management (CEM).

The research methodologies and research methods that are used in this descriptive-analytical research are based on an inspection of the remarkable literature related to medical tourism and customer experience management. The data gathering instrument is a researcher-made questionnaire based on the variables in the conceptual model extracted from the research literature. The study was conducted from May to August 2019. The population cohort of this study was the foreign patients calling selected Iranian hospitals and the sampling method was a purposive and snowball sample of prospective medical tourists. As the study was conducted throughout Iran, some important hospitals in Iran were selected by stratified sampling Yang et al. (2020b). The sample size and data saturation were 500 participants Lv and Song (2019). The collected data using the questionnaire were analyzed by SPSS software and statistical tests.

According to the results, the customer experience management statistical significance in the task aspect is (p = 0.0523), in the mechanical aspect is (p = 0.0563), in the human aspect is (p = 0.0544). The study showed positive customer experience among the patients who had been treated in the Iranian hospitals.

There is a lack of study that focuses on medical tourism and customer experience management in Iran. Therefore, based on the results of this study, the experience of medical tourists in Iran proved to be positive and satisfying. As little research has been conducted in the area of customer experience management (CEM) in Iranian medical tourism, future researchers can use these valuable results precisely and in more detail to benchmark more accurately the customer experience in all areas of medical and health tourism and other research areas in different aspects of CEM in Iran.

This study investigates the relationship between medical tourism and city branding as the main purpose. To this end, two measurement scales (questionnaires) were designed and validated. The data obtained through the questionnaires was analyzed using descriptive statistics, exploratory and confirmatory factor analyses as well as structural equation modeling via SPSS and LISREL. The study was done in the city of Shiraz which is a famous tourist destination worldwide and has high capacities in medical tourism as well. Participants included scholars and managerial staff in the fields of medical tourism and city branding. The results confirmed that the four underlying factors of medical tourism include medical facilities and services, doctors and staff, tourism factors and costs. Furthermore, city branding was confirmed to be comprised of three underlying factors including place and facilities, opportunities, and residents and culture. Finally, according to the findings from Structural Equation Modelling (SEM) method of assessment branding in shiraz it was found that medical tourism affects directly on city branding.

The objective of the study is to measure outbound medical tourists' satisfaction and loyalty based on medical tourists' experience from a developing country's perspective.

The medical tourists taken medical services from India constituted the population of this study. By applying a purposive and snowball sampling techniques, samples were selected. Based on the expectation confirmation theory (ECT) and a modified medical tourism experience model, this study empirically analyzed the research hypotheses by applying the partial least square–structural equation modeling (PLS–SEM) technique.

The empirical result revealed that the experience of service quality, medical tourism infrastructure and experience of medical tourism expenses has a direct impact on medical tourists' satisfaction. Furthermore, destination appeal and culture has a significant moderating effect on the relationship between medical tourists' satisfaction and destination loyalty. Multigroup analysis (MGA) was performed to examine group differences of the model. The MGA results revealed that, based on age, the research model remains undifferentiated between groups. In contrast, based on income, the only relationship, medical tourism infrastructure and medical tourists' satisfaction significantly differ between groups, while others remain identical from each other.

The study results will contribute both theoretically and practically. Theoretically, the study will be a helpful instrument to figure out medical tourists' behavior through the lens of ECT in a developing country’s perspective. Furthermore, practically this study results will assist policymakers and practitioners of medical tourism in formulating strategies and making future decisions effectively.

The study has uniqueness in two aspects. First, the study empirically revealed Bangladeshi medical tourists' experience and behavioral intention to Indian medical tourism destinations. Second, the study’s findings exposed quantifiable insights into the Bangladesh–India medical tourism phenomenon.

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 aims to examine whether medical tourism can be a frontrunner in terms of post-pandemic recovery for the industry

A mixed-method analysis of 17 interviews and 210 questionnaires involving medical tourists to Iran was applied.

Medical tourists perceived the risks posed by COVID-19 as a temporal one, and attitudes toward post pandemic visitation intentions remained strong. In addition, these tourists can mostly be classified into responsive individuals, who demonstrate not only high risk but also high efficacy levels to negotiate the threats posed by the pandemic. No gender differences were located between male and female medical tourists in terms of post-COVID-19 travel intentions to Iran.

This research extends the application of the risk perception attitude framework to a medical tourism context. Furthermore, medical tourists are uncovered as another segment of crisis-resistant tourists.

The purpose of this paper is intended to create a model to measure quality of service, using fuzzy linguistics to analyze the quality of service of medical tourism in Taiwan so as to find the direction for improvement of service quality in medical tourism.

The study developed fuzzy questionnaires based on the characteristics of medical tourism quality of service in Taiwan. Questionnaires were delivered and recovered from February to April 2014, using random sampling according to the proportion of medical tourism companies in each region, and 150 effective samples were obtained. The critical quality of service level is found through the fuzzy gap analysis using questionnaires examining expectations and perceptions of customers, as the direction for continuous improvement.

From the study, the primary five critical service items that improve the quality of service for medical tourism in Taiwan include, in order: the capability of the service provider to provide committed medical tourism services reliably and accurately, facility service providers in conjunction with the services provided, the cordial and polite attitude of the service provider eliciting a sense of trust from the customer, professional ability of medical (nursing) personnel in hospital and reliability of service provider.

The contribution of this study is to create a fuzzy gap analysis to assess the performance of medical tourism service quality, identify key quality characteristics and provide a direction for improvement and development for medical tourism service quality in Taiwan.