Evidence map›Paper›PMID 34518820›Full record

ArticlePublic health in practice (Oxford, England)2021

Lessons from COVID-19's impact on medical tourism in Cambodia.

Makoto Kosaka, Yurie Kobashi, Kensuke Kato, Manabu Okawada, Masaharu Tsubokura

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Makoto KosakaInternship, Kitahara International Hospital, Hachioji City, Tokyo, Japan.
Yurie KobashiDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima City, Fukushima, Japan.
Kensuke KatoDepartment of Neurosurgery, Sunrise Japan Hospital Pheon Penh, Pheon Penh, Cambodia.
Manabu OkawadaDepartment of Pediatrics, Sunrise Japan Hospital Pheon Penh, Pheon Penh, Cambodia.
Masaharu TsubokuraDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima City, Fukushima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Making medical tourism a more valuable healthcare system is a significant public health issue. However, little discussion has been conducted on what lessons can be learned from the impact of COVID-19 on medical tourism. This study aimed to discuss the issues and barriers faced by patients unable to seek medical tourism, and the medical care experience at private general hospital in capital, Cambodia. First, when patients seeking medical tourism were unable to go abroad due to the pandemic or other reasons, some of them could not easily visit domestic health care facilities. Second, even if patients received medical care in the home country's hospitals due to the interruption of medical tourism, sharing the patient's medical information between domestic and overseas medical institutions was difficult. The third problem in medical tourism is that dependence on overseas medical resources might hinder the development of medical professionals, facilities, and other environments in the country of origin. This experience revealed the need to encourage patients who were unable to undertake medical tourism to visit domestic medical facilities, make efforts to share patient information across countries, and to invest in developing each department in domestic hospitals. Support for patients who are unable to undertake medical tourism is urgently needed.

Indexed as

CambodiaCOVID-19Medical tourism

Identifiers

PMID34518820
PMCPMC8426001

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.