Evidence map›Paper›PMID 37200988›Full record

ArticleFrontiers in public health2023

Determinants of Bangladeshi patients' decision-making process and satisfaction toward medical tourism in India.

Muhammad Zakaria, Muhammad Aminul Islam, Md Khadimul Islam, Aklima Begum, Nahida Akter Poly, Feng Cheng, Junfang Xu

Abstract read
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Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Ethical considerations regarding medical tourism in Iran: a qualitative study.Journal of medical ethics and history of medicine · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Muhammad ZakariaDepartment of Communication and Journalism, University of Chittagong, Chattogram, Bangladesh.
Muhammad Aminul IslamDepartment of Communication, Wayne State University, Detroit, MI, United States.
Md Khadimul IslamDepartment of Communication, Wayne State University, Detroit, MI, United States.
Aklima BegumDepartment of English, Shaikh Burhanuddin Post Graduate College, Dhaka, Bangladesh.
Nahida Akter PolyDepartment of English, Daffodil International University, Dhaka, Bangladesh.
Feng ChengVanke School of Public Health, Tsinghua University, Beijing, China.
Junfang XuCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 ( 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, 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.

Indexed as

Medical TourismBangladeshCross-Sectional StudiesHumansIndiaPatient Satisfactioncountry environmentfacilitymedical tourismmedical tourism costsservicestourism destination

Identifiers

PMID37200988
PMCPMC10185743

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.