DSpace Repository

Determinants and Predictors of Mental Health During and After COVID-19 Lockdown Among University Students in Malaysia

Show simple item record

dc.contributor.author Zakaria, Muhammad
dc.contributor.author Islam, Muhammad Aminul
dc.contributor.author Islam, Md Khadimul
dc.contributor.author Begum, Aklima
dc.contributor.author Poly, Nahida Akter
dc.contributor.author Cheng, Feng
dc.contributor.author Xu, Junfang
dc.date.accessioned 2024-05-15T06:03:18Z
dc.date.available 2024-05-15T06:03:18Z
dc.date.issued 2023-05-02
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/12361
dc.description.abstract "Objectives The aims are to explore the factors influencing Bangladeshi patients' decision-making process and their satisfaction level toward medical tourism in India. Methods The study used a quantitative research approach with a cross-sectional survey. Data were collected from the patients or their relatives (N = 388) who would have decided to travel to India for medical and treatment purposes at the Chittagong Indian visa center (IVAC). Data were collected using a structured, pre-tested, and facilitator-administered questionnaire, which mainly included the social demographic characteristics, health status, medical tourism information and medical tourism index. Hierarchical regression analysis was performed to explore the factors influencing their satisfaction level toward medical tourism in India. Results More than three-fourths of the participants had visited India for self-treatment. Of the participants, 14% were cardiology patients, and 13% suffered from cancer. The relatives were the key source of information regarding medical tourism for more than one-fourth of the respondents. India's availability of well-experienced doctors, hospital/medical facilities with high standards, well-trained doctors, reputable doctors, and quality treatments and medical materials were top-ranked items. Regression results depict that facility and services appeared as the strongest factor (β = 0.24, t = 4.71, p < 0.001) followed by tourism destination factor (β = 0.16, t = 3.11, p = 0.002), medical tourism costs factor (β = 0.16, t = 3.24, p = 0.001) and country environment factor (β = 0.15, t = 2.69, p = 0.007). Conclusions We found that the factor related to facility and services is one of the strongest predictors in our models. Therefore, home countries must strengthen the health care providers' advanced professional training, including service attitudes. Moreover, it is important to lessen the language barrier, reduce the airfare for medical tourists, and make the treatment cost more affordable for patients." en_US
dc.language.iso en_US en_US
dc.publisher Frontier Scientific Publishing en_US
dc.subject Medical tourism en_US
dc.subject Health tourism en_US
dc.title Determinants and Predictors of Mental Health During and After COVID-19 Lockdown Among University Students in Malaysia en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Browse

My Account

Statistics