Evidence map›Paper›PMID 30922381›Full record

ArticleBMC health services research2019

Perceived cultural differences in healthcare for foreign patients visiting South Korea: tool development and measurement.

Sumi Sung, Hyeoun-Ae Park

Abstract readMulticenter Study
In one paragraph

Article in BMC health services research, 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.

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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

2 authors.

Sumi SungCollege of Nursing, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Hyeoun-Ae ParkCollege of Nursing, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. hapark@snu.ac.kr.ORCID http://orcid.org/0000-0002-3770-4998

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe developed a 41-item tool measuring cultural differences in healthcare as perceived by foreign patients visiting South Korea.

methodsThe tool was tested on 256 foreign patients who visited three tertiary hospitals in Seoul, South Korea. Content validity was explored by two physicians and eight nurses working in an international healthcare department. Structural validity was tested via exploratory factor analysis and by testing two hypotheses: (1) there are perceived cultural differences between the South Korean healthcare and those of foreign patients' home countries (one-sample t-test); and, (2) Perceived cultural differences vary among language groups (analysis of variance). We also calculated Cronbach's alpha.

resultsThe content validity index of the tool was 0.97. Exploratory factor analysis identified seven significant factors: hospital care and services, food, the healthcare system, communication, the healthcare facility, religion, and cultural values. The overall Cronbach's alpha for the tool was 0.96, indicating very high internal consistency. We found that foreign patients visiting South Korean hospitals perceived that the healthcare culture differed significantly from that of their home country. The perceived cultural differences varied significantly by language group.

conclusionsNurses can use our new tool to understand the cultural differences of foreign patients and provide them with culturally competent nursing care.

Indexed as

Attitude to HealthAdultAgedCultural CompetencyCulturally Competent CareFactor Analysis, StatisticalFemaleHumansLanguageMaleMedical TourismMiddle AgedPerceptionPilot ProjectsPsychometricsReproducibility of ResultsCultural differencesCulturally competent healthcareMedical tourismNursing careTool development

Identifiers

PMID30922381
PMCPMC6437978

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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.