Evidence map›Paper›PMID 37151052›Full record

ReviewWestern journal of nursing research2023

Self-Care in Korean Immigrants with Chronic Diseases: A Concept Analysis.

Eun Jo Kim, Sarah E Choi

Open access · hybridAbstract readReview
In one paragraph

Review in Western journal of nursing research, 2023. 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
0.8field-weighted citation impact, top 25% 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

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, 4 citations in OpenAlex.

  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

2 authors at 2 institutions in 2 countries.

Eun Jo KimCollege of Nursing, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0003-3692-0960
Sarah E ChoiUCLA School of Nursing, University of California Los Angeles, CA, USA.ORCID 0000-0003-3459-716X
Seoul National University · KRUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic illnesses among Korean immigrants (KIs) in the United States have been rapidly increasing, yet the concept of chronic disease self-care in this group has not been delineated. The aim of this study was to review previous research on self-care among KIs with chronic diseases and describe the concept in cultural context. Using Rodgers' Evolutionary Method, a total of 24 articles were analyzed. The definition and conceptual model of self-care in KIs with chronic diseases were proposed. The antecedents included knowledge and health literacy; social and family support; resources; patient-health care provider partnership; and elimination of cultural misbeliefs and disclosure of the disease. The attributes of the concept were aging well with diseases; treatment adherence; control and restriction; the acculturation process; care built on traditional Korean gender roles; and maintenance of mental health. The consequences involved positive physiological outcomes; self-efficacy; quality of life; and reducing worry about becoming a burden to the family. While the studied concept encompassed universal characteristics of chronic disease self-care, distinctive cultural features emerged. The findings contribute to a better understanding of chronic illness self-care in this population and the development of culturally sensitive and practical self-care interventions for KIs with chronic diseases.

Indexed as

Emigrants and ImmigrantsQuality of LifeChronic DiseaseHumansRepublic of KoreaSelf CareUnited StatesAsianschronic diseaseconcept analysisKoreansself-care

Identifiers

PMID37151052
PMCPMC10359953
OpenAlexW4375844719

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.