Evidence map›Paper›PMID 30205573›Full record

ArticleInternational journal of environmental research and public health2018

Translation and Validation of the Korean Version of the Revised Health Care System Distrust Scale (HCSD-K) in Korean American Women.

Hye Chong Hong, Ari Min

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. 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
0.4field-weighted citation impact, top 26% of its field
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

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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, 4 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Hye Chong HongMo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul 03722, Korea. julie9278@gmail.com.ORCID 0000-0003-0501-8456
Ari MinMo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul 03722, Korea. amin161211@gmail.com.ORCID 0000-0002-5151-0559
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTrust in the healthcare system is a major contributor for racial disparities in health and health care. We aimed to formally translate and cross-culturally adapt the Korean version of the Revised Health Care System Distrust (HCSD-K) scale with a sample of Korean American women and examine the psychometric properties of the HCSD-K scale.

methodsTen Korean American women participated in the cognitive interview. A self-administered questionnaire was completed by 196 Korean American women aged 50⁻74 years. Instrument adaptation was performed using committee-based translation and cognitive interviewing. Construct validity, convergent validity, and internal consistency were examined to evaluate the psychometric properties of the HCSD-K scale.

resultsThe translated instrument was found to be semantically sound. A confirmatory factor analysis revealed a two-factor structure with an excellent fit. Convergent validity was supported by correlations between the HCSD-K scale and both the Perceived Discrimination in Health Care and Trust in Physician scales. Cronbach's alpha for the total HCSD-K was 0.83.

conclusionThe nine-item HCSD-K scale demonstrated satisfactory reliability and validity. It is an appropriate instrument for measuring healthcare system distrust in Korean American women. Further study is needed to confirm the study results in a gender-mixed Korean population.

Indexed as

AdultAgedAged, 80 and overAsianDelivery of Health CareFactor Analysis, StatisticalFemaleHumansMiddle AgedPsychometricsReproducibility of ResultsRepublic of KoreaSurveys and QuestionnairesTranslationsTrustHealth Care System Distrust scaleKorean Americanreliabilityvaliditywomen

Identifiers

PMID30205573
PMCPMC6163931
OpenAlexW2891395714

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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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.