Determinants of medical tourism considering a geographical model: a case study of Iran

Background: Medical Tourism has received significant attention worldwide as the most remarkable phenomenon in the tourism industry. Medical Tourism was considered a medical tourist’s behavior concerning the push/pull factors and three fundamental flows to assess the BTD model (Birthplace-Transporta...

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Main Authors: Ali Faridi Masouleh, Keramatollah Ziari, Mohammadreza Rezvani, Javad Etaat, Mohammad Amin Khorasani, Abolfazl Gilani
Format: Article
Language:English
Published: Shahid Beheshti University of Medical Sciences 2022-10-01
Series:Social Determinants of Health
Subjects:
Online Access:https://journals.sbmu.ac.ir/sdh/article/view/37852
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author Ali Faridi Masouleh
Keramatollah Ziari
Mohammadreza Rezvani
Javad Etaat
Mohammad Amin Khorasani
Abolfazl Gilani
author_facet Ali Faridi Masouleh
Keramatollah Ziari
Mohammadreza Rezvani
Javad Etaat
Mohammad Amin Khorasani
Abolfazl Gilani
author_sort Ali Faridi Masouleh
collection DOAJ
description Background: Medical Tourism has received significant attention worldwide as the most remarkable phenomenon in the tourism industry. Medical Tourism was considered a medical tourist’s behavior concerning the push/pull factors and three fundamental flows to assess the BTD model (Birthplace-Transportation-Destination). The present study aimed to unearth determinable factors of medical tourism based on a geographical model named BTD in Iran. Methods: Firstly, with 301 respondents and 11 expert judges, after literature review, item building, and some assessments, the primary checklist leads to 49 items. Two next steps, some processes were common, including sample-to-item ratio (10.12, 10.24), the Cronbach's alpha (over 0.81, 0.85-0.96), Bartlett's Test (both were significant), and KMO (0.896, 0.915). Finally, EFA in the first study and PCA in the second study were assessed and reported. In the third study, to check multicollinearity, the VIF (1.809-2.917), AVE (0.50-0.55), and CR (0.59-0.68) were calculated. Then, AVE was compared with SIC. Ultimately, SEM was conducted that the 3-factor model, especially without the Mahalanobis distance, indicates better results. The study is developed in five cities called Khorasan, Tabriz, Tehran, Fars, and Isfahan. Results: Regardless of cost, other significant factors were recognized, including birthplace-related factors, transportation-related factors, and destination-related factors. Conclusion: As can be seen, the construction and the push/pull factors surveyed to assess the BTD model covering all main flows were well defined. Meaningful statistical relationships support the internal and external validity of the multidimensional construct. Therefore, present results are functional for interested sectors, and researchers must not disregard the market.
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spelling doaj.art-d0a65aa270204557b8dc0af5e76473e12022-12-22T03:56:25ZengShahid Beheshti University of Medical SciencesSocial Determinants of Health2423-73372022-10-018110.22037/sdh.v8i1.37852Determinants of medical tourism considering a geographical model: a case study of IranAli Faridi Masouleh0Keramatollah Ziari 1Mohammadreza Rezvani2Javad Etaat3Mohammad Amin Khorasani4Abolfazl Gilani5University of TehranUniversity of TehranUniversity of TehranShahid Beheshti University (SBU)University of TehranTehran University of Medical Sciences Background: Medical Tourism has received significant attention worldwide as the most remarkable phenomenon in the tourism industry. Medical Tourism was considered a medical tourist’s behavior concerning the push/pull factors and three fundamental flows to assess the BTD model (Birthplace-Transportation-Destination). The present study aimed to unearth determinable factors of medical tourism based on a geographical model named BTD in Iran. Methods: Firstly, with 301 respondents and 11 expert judges, after literature review, item building, and some assessments, the primary checklist leads to 49 items. Two next steps, some processes were common, including sample-to-item ratio (10.12, 10.24), the Cronbach's alpha (over 0.81, 0.85-0.96), Bartlett's Test (both were significant), and KMO (0.896, 0.915). Finally, EFA in the first study and PCA in the second study were assessed and reported. In the third study, to check multicollinearity, the VIF (1.809-2.917), AVE (0.50-0.55), and CR (0.59-0.68) were calculated. Then, AVE was compared with SIC. Ultimately, SEM was conducted that the 3-factor model, especially without the Mahalanobis distance, indicates better results. The study is developed in five cities called Khorasan, Tabriz, Tehran, Fars, and Isfahan. Results: Regardless of cost, other significant factors were recognized, including birthplace-related factors, transportation-related factors, and destination-related factors. Conclusion: As can be seen, the construction and the push/pull factors surveyed to assess the BTD model covering all main flows were well defined. Meaningful statistical relationships support the internal and external validity of the multidimensional construct. Therefore, present results are functional for interested sectors, and researchers must not disregard the market. https://journals.sbmu.ac.ir/sdh/article/view/37852Medical TourismHealth TourismSurgical TourismHealth Care EconomicsHealth Care QualityIran
spellingShingle Ali Faridi Masouleh
Keramatollah Ziari
Mohammadreza Rezvani
Javad Etaat
Mohammad Amin Khorasani
Abolfazl Gilani
Determinants of medical tourism considering a geographical model: a case study of Iran
Social Determinants of Health
Medical Tourism
Health Tourism
Surgical Tourism
Health Care Economics
Health Care Quality
Iran
title Determinants of medical tourism considering a geographical model: a case study of Iran
title_full Determinants of medical tourism considering a geographical model: a case study of Iran
title_fullStr Determinants of medical tourism considering a geographical model: a case study of Iran
title_full_unstemmed Determinants of medical tourism considering a geographical model: a case study of Iran
title_short Determinants of medical tourism considering a geographical model: a case study of Iran
title_sort determinants of medical tourism considering a geographical model a case study of iran
topic Medical Tourism
Health Tourism
Surgical Tourism
Health Care Economics
Health Care Quality
Iran
url https://journals.sbmu.ac.ir/sdh/article/view/37852
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