Evidence map›Paper›PMID 36120409›Full record

ArticleProcedia computer science2022

Bouncing from the Covid-19 Pandemic: Response of an Online Medical Tourism Facilitator Platform.

Trin Thananusak, Ruilin Zhu, Prattana Punnakitikashem

Abstract read
In one paragraph

Article in Procedia computer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Trin ThananusakCollege of Management, Mahidol University, Bangkok, 10400, Thailand.
Ruilin ZhuManagement Science, Lancaster University Management School, Lancaster, LA1 4YX, UK.
Prattana PunnakitikashemCollege of Management, Mahidol University, Bangkok, 10400, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People have increasingly engaged in medical tourism to find effective medical treatments but more economical overseas. These travellers use the service of online Medical Tourism Facilitators (MTFs) in choosing and arranging medical trips. However, the Covid-19 pandemic and the ban on international travelling disrupted travel and thus seriously affected the tourism businesses, including MTFs. Businesses need to be resilient and pivot their business models to survive and bounce back from the crisis. However, it is less clear how MTFs navigate this Covid-19 pandemic. This paper adopts a case study to explain how an online MTF platform (Dental Departures) responds to the opportunities and challenges and examines how it pivots business models.

Indexed as

Dental TourismMedical TourismMedical Tourism FacilitatorPandemicPlatform

Identifiers

PMID36120409
PMCPMC9464300

What OpenQuestion holds

Textmetadata
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.