Evidence map›Paper›PMID 37809654›Full record

ArticleHeliyon2023

International medical Tourists' expectations and behavioral intention towards health resorts in Malaysia.

Chung Kin Meng, Shishi Kumar Piaralal, Md Aminul Islam, Mohd Faizal Bin Yusof, Rubaiyat Shaimom Chowdhury

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Chung Kin MengKokoro Development SDN BHD, Malaysia.
Shishi Kumar PiaralalFaculty of Business Management, Open University Malaysia, Malaysia.
Md Aminul IslamFaculty of Business & Communication, Universiti Malaysia Perlis, Malaysia.
Mohd Faizal Bin YusofFaculty of Resilience, Rabdan Academy, United Arab Emirates.
Rubaiyat Shaimom ChowdhuryFaculty of Business & Communication, Universiti Malaysia Perlis, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical tourism, a thriving industry encompassing both healthcare and tourism sectors, has experienced exponential growth over the past decades. The intensifying competition within the global market necessitates a closer examination of the pivotal role played by the perceptions of medical tourists in their decision-making process regarding health destination visits. Thus, this study aims to explore the interplay between international medical tourists' perceptions of health resort attractions and their expectations, while also investigating the mediating effect (expectations) of these perceptions on their behavioral intentions to seek medical and healthcare treatments in a Malaysian health resort. Drawing on the Expectation Confirmation Theory (ECT) and the Theory of Planned Behavior (TPB), this research employed a quantitative research method, surveying 386 international medical tourists. The distribution of the survey questionnaire utilized the online internet email method. The study employed the partial least square structural equation modeling (PLS-SEM) method to examine the hypothesized relationships. The results conclusively support the positive influence of health resort attractions on international medical tourists' expectations and behavioral intentions. Consequently, this study provides valuable implications for the future growth and development of the health resort and medical tourism industry in Malaysia.

Indexed as

Behavioral intentionsExpectationsHealth resortInternational medical touristsMalaysiaMedical tourism

Identifiers

PMID37809654
PMCPMC10559008

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.