Abdollah Naami , Azadeh Chatrooz ,
Volume 11, Issue 5 (1-2018)
Abstract
Background & Aim: Planning in medical tourism is important. This study was conducted to assess factors, elements and development plans of medical tourism and situation study and analysis of Tehran University of Medical Sciences (TUMS).
Materials and Methods: This mixed method study was conducted in 2017. In systematic review, published studies searched between years 2006 to 2016. In the second phase, medical tourism data of TUMS explored as retrospective cross sectional and expert viewpoint analysis in medical tourism concept.
Results: 39 published articles were assessed. According to results, admissions and total payment of foreign patients in all hospitals of TUMS in 2016 were 21788 and around 18.5 billion Tomans respectively.
Qualitative results showed that, there were not transparence program and suitable physical area and TUMS needs to comprehensive planning, supportive infrastructure of foreign patients, correction of transportation system and improve marketing.
Conclusion: Despite the history of TUMS hospitals in attraction of foreign patients and analyzing it, there were many limitations to achieve good situation. Although assessing patients viewpoints can provide a platform to solve problems and limitations according to priorities.
Masood Taheri Mirghaed, Batool Ahmadi, Abbas Rahimi Foroushani, Ghasem Rajabi Vasoukolaii, Mohammad Arab,
Volume 13, Issue 6 (2-2020)
Abstract
Background and Aim: Nowadays, medical tourism market is considered as one of the most profitable and competitive industries in the world and is one of the new areas of advanced tourism. The aim of this study was to investigate the marketing status of medical tourism in private and public hospitals affiliated to Tehran University of Medical Sciences (TUMS) in 2018.
Materials and Methods: This is a cross-sectional descriptive-analytic study that investigated the marketing status of medical tourism in 6 private and 14 public hospitals affiliated to TUMS in 2018. A valid checklist was used for data collection; besides, SPSS software, descriptive statistics, Mann-Whitney test and Kruskal-Wallis test were applied for data analysis.
Results: Product factor has a satisfactory status in state-owned hospitals and an average status in private hospitals. Place factor, people factor, process factor, and physician factor are satisfactory in public and private hospitals. Promotion factor in public hospitals is unacceptable and in private hospitals is average. Besides, price and place factors in public and private hospitals are average. Moreover, there is no significant relationship between any of the above factors and the type of hospitals (public, private).
Conclusion: Due to marketing mix, hospitals and medical institutions can increase the confidence of tourists by adopting international standards in addition to enhancing international reputation. Also, paying more attention to media advertising and providing more facilities can improve the condition of hospitals, thereby attracting more medical tourists and expanding the industry in Tehran.
Rahil Nahari, Saeed Hashemzadeh, Ehsan Zarei,
Volume 16, Issue 6 (1-2023)
Abstract
Background and Aim: Medical tourism refers to travel for receiving health services abroad. The COVID-19 crisis affected a wide range of tourism-related businesses, including medical tourism, and caused a decrease in the supply and demand of health services in this market. This study aimed to investigate the impact of the COVID-19 pandemic on Medical Tourism in Iran.
Materials and Methods: This cross-sectional study was conducted in Iran in 2021. The data used in this study were extracted from the information system of the Ministry of Health from 2018 to 2021, which includes the number, origin, and destination of medical tourists, per capita revenue, and monthly revenue two years before and one and a half years after the COVID-19 pandemic. For data analysis, t-tests of independent groups and interrupted time series regression were used in SPSS and EViews 10 software.
Results: The COVID-19 pandemic has caused a 42% decrease in the average monthly number of medical tourists, a 45% decrease in the monthly revenue, and a 10% decrease in the per capita income per tourist (P<0.05). The arrival of medical tourists from the Republic of Azerbaijan, Bahrain, Iraq, and Oman has decreased by more than 80%, and the largest decrease in the number of tourists has been related to Ahvaz, Urmia, Tabriz, and Shiraz. In all diagnostic groups except obstetrics and gynecology, there has been a decrease between 50 to 70% The declining trend of medical tourism indicators was stopped in the second year of the COVID-19 pandemic and has continued as a constant trend.
Conclusion: The COVID-19 crisis has hurt the number of international patients and their revenue in Iran. Relative success in controlling COVID-19 can return to a pre-pandemic situation that requires appropriate policies and administrative measures by government and industry players, such as policies to facilitate patient entry, marketing measures, branding and creating a positive image of the country to potential clients, use of telemedicine facilities for consultations and follow-up, etc.
Setareh Talayeh, Farzad Firouzi Jahantigh, Fatemeh Bahman,
Volume 17, Issue 5 (12-2023)
Abstract
Background and Aim: The tourism industry plays a very important role in the economic cycle of society. Medical tourism, as one of the types of tourism industries, has a direct result in globalizing health care. Therefore, by strengthening the supply chain in this area, a very high added value can be achieved. For this reason, the present study provides a conceptual framework for predicting the demand for medical tourism supply chain by determining the relationship between medical tourism demand and economic, medical, and welfare-service components of Zahedan city.
Materials and Methods: The present study is a descriptive-analytical and applied research. Data were collected using a questionnaire and field and library methods. The statistical population of interest was specialist doctors in Zahedan city, and 97 people were selected using simple random sampling with Morgan’s table. The validity of the questionnaire was confirmed by experts and its reliability was obtained using Cronbach’s alpha coefficient with SPSS software more than 0.7. Data analysis was performed using the tangent sigmoid neural network algorithm, linear regression criteria, and mean square error. For this purpose, SPSS software was used to examine the correlation between the data, and MATLAB software was used to design the neural network.
Results: There was anerrore in The basis for the optimality of the answers, linear regression criteria and mean square error. The results showed that the values related to regression, education, and health were more than 0.8 and were 0.9033, 0.8818, and 0.9985, respectively. The highest priorities of the respondents related to medical equipment, education, and health were 0.5657, 0.5558, and 0.20726, respectively.
Conclusion: According to the results obtained from the proposed model, the neural network has a high accuracy in predicting the demand for medical tourism supply chain in terms of education, health, and welfare. It is also predicted that the demand for medical tourism has been constant during the one-year period of research and it is expected that medical tourism in Zahedan city will decrease in future. Therefore, it is recommended that officials pay attention to the development and improvement of medical tourism to promote it.
