Evidence map›Paper›PMID 31970097›Full record

ArticleIranian journal of public health2019

Improving Medical Tourism Services through Human Behaviour and Cultural Competence.

Ladan Rokni, Sam-Hun Park, Turgay Avci

Abstract read
In one paragraph

Article in Iranian journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. 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.

Ladan RokniAsia Contents Institute, Konkuk University, Seoul, South Korea.
Sam-Hun ParkAsia Contents Institute, Konkuk University, Seoul, South Korea.
Turgay AvciFaculty of Tourism Management, Eastern Mediterranean University, Famagusta, North Cyprus.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical tourism is a type of service sector in which there is direct interaction between healthcare practitioners and patient-customers, leading to several challenges due to cultural and social background differences. We aimed to investigate the determinants of delivering a culturally-oriented service in medical tourism sector.

methodsAdopting an exploratory qualitative approach, interviews were conducted through a semi-structured procedure with authorities across various medical sectors in South Korea in winter 2017. Participants were all involved in and aware of the medical tourism sector, both academically and clinically. The interview transcripts were coded through a systematic thematic analysis.

resultsIn order to focus on non-clinical service in medical tourism sector, and a system of cultural competence delivery, three main themes were identified: 1) The personal characteristics of doctors; 2) External supports to be provided by the associated organisations; and finally, 3) Skilfulness, which implies the culturally-oriented interaction with foreign patients.

conclusionSeveral strategies are suggested to address the non-clinical challenges and conflicts in doctor-patient interaction in the sector of medical tourism. It is likely that providing a culturally-oriented service in this sector demands for a comprehensive planning, and several strategies for implementation in order to support and train a team of skilful doctors with non-clinical characteristics. These finding will likely have insights for those organisations searching to improve their performance in the medical tourism sector.

Indexed as

Cultural competenceHuman behaviourMedical tourismSouth Korea

Identifiers

PMID31970097
PMCPMC6961201

What OpenQuestion holds

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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.