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Investigating medical tourism development indicators in Yazd Reproductive Sciences Institute: A cross-sectional study

محل انتشار: مجله طب تولید مثل ایران، دوره: 20، شماره: 12
سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 125

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لینک ثابت به این مقاله:
https://civilica.com/doc/1583916

شناسه ملی سند علمی:

JR_IJRM-20-12_006

تاریخ نمایه سازی: 20 دی 1401

چکیده مقاله:

Background: Paying special attention to the development indicators of medical tourism (MT) can lead to the further development of this industry and tourists' satisfaction. Objective: This study aimed to investigate MT development indicators in Yazd Reproductive Sciences Research Institute, Yazd, Iran in ۲۰۲۱. Materials and Methods: In this cross-sectional study, ۴۳۰ medical tourists referred to the Yazd Reproductive Sciences Institute, Yazd, Iran in ۲۰۲۱were studied. A researcher-made questionnaire with ۴۶ questions and ۱۰ dimensions was used in both internal and external environments to collect data. The Spearman correlation coefficient was also used to assess the correlation between the quantitative factors. Results: The reliability and validity of the scale were confirmed. The mean ± SD of the advertising and marketing index scored was lower than the other internal environmental indices (۱۵.۰۵ ± ۲.۱۶). Also, the economic factors and tourism infrastructure was lower than the other external environmental factors (۹.۸ ± ۱.۹۹, ۸.۵۳ ± ۲.۱۱, respectively).  Conclusion: Given the importance of MT, top managers and relevant authorities should pay close attention to the criteria of advertising, marketing, and tourism infrastructure. MT demand can be improved by increasing the importance of advertising, implementing realistic advertising strategies, and developing adequate urban infrastructure and services.

کلیدواژه ها:

Medical tourism ، Infertility ، Advertising ، Marketing ، Indicators ، Reagents. ، گردشگری پزشکی ، ناباروری ، تبلیغات ، بازاریابی ، شاخص ها.

نویسندگان

Milad Shafii

Department of Health Services Management, Health Policy and Management Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Farzan Madadizadeh

Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Roohollah Askari

Department of Health Services Management, Health Policy and Management Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Mohammad Zarezadeh

Department of Health Services Management, Health Policy and Management Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Ali Mohamad Abdoli

Research and Clinical Center for Infertility, Yazd Reproductive Sciences Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Sajjad Bahariniya

Department of Health Services Management, Health Policy and Management Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

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