Evidence map›Paper›PMID 28243025›Full record

ArticleKorean journal of ophthalmology : KJO2017

Prevalence and Factors Associated with the Use of Eye Care Services in South Korea: Korea National Health and Nutrition Examination Survey 2010-2012.

Yong Seok Park, Hwan Heo, Byeong Jin Ye, Young-Woo Suh, Seung-Hyun Kim, Shin Hae Park, Key Hwan Lim, Sung Jin Lee, Song Hee Park, Seung-Hee Baek and 1 more

Open access · goldAbstract read
In one paragraph

Article in Korean journal of ophthalmology : KJO, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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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

11 authors at 7 institutions in 1 country.

Yong Seok ParkDepartment of Ophthalmology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea.
Hwan HeoDepartment of Ophthalmology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea.
Byeong Jin YeDepartment of Occupational and Environmental Medicine, Dong-A University Hospital, Dong-A University College of Medicine, Busan, Korea.
Young-Woo SuhDepartment of Ophthalmology, Korea University College of Medicine, Seoul, Korea.
Seung-Hyun KimDepartment of Ophthalmology, Korea University College of Medicine, Seoul, Korea.
Shin Hae ParkDepartment of Ophthalmology and Visual Science, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Key Hwan LimDepartment of Ophthalmology, Ewha Womans University Mokdong Hospital, Ewha Womans University School of Medicine, Seoul, Korea.
Sung Jin LeeDepartment of Ophthalmology, Soonchunhyang University Seoul Hospital, Seoul, Korea.
Song Hee ParkDepartment of Ophthalmology, Soonchunhyang University Seoul Hospital, Seoul, Korea.
Seung-Hee BaekDepartment of Ophthalmology, Kim's Eye Hospital, Konyang University College of Medicine, Seoul, Korea.
Epidemiologic Survey Committee of the Korean Ophthalmological Society
Chonnam National University Hospital · KRKorea University · KRSoonchunhyang University Hospital Seoul · KRDong-A University Hospital · KREwha Womans University · KRKim's Eye Hospital · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo estimate the factors and prevalence of eye care service utilization in the South Korean population.

methodsThis cross-sectional, population-based study included data from 22,550 Koreans aged ≥5 years who participated in the Korea National Health and Nutrition Examination Survey from 2010 to 2012. For people aged 5 to 11 years (young children), information was based on self-reports of contact with eye care service in the past year; for people aged ≥12 years (older population), the information was based on the self-reported lifetime contact with eye care service. Univariate and multivariate logistic regression analyses of the complex sample survey data were performed.

resultsThe prevalence of eye care service use in young children during the past year was 61.1% (95% confidence interval, 58.1%-64.1%), while that in the older population during their lifetime was 73.5%. Subjects aged 7 to 11 years were more likely to have had an eye examination in the past year than subjects aged 5 to 6 years (odds ratio, 3.83; 95% confidence interval, 2.37-6.19). Multivariate logistic regression analysis indicated that higher monthly household income, being a National Health Insurance holder, and having private health insurance were related to more frequent use of eye care services in young children. For the older population and women, those living in an urban area and those with a best-corrected visual acuity less than 20 / 40 in the worse-seeing eye were more likely to have had an eye examination during their lifetime. Low education level was associated with low lifetime use of eye care services in the older population.

conclusionsThere are sociodemographic disparities with use of eye care services in South Korea. This population-based study provides information that is useful for determining different intervention programs based on sociodemographic disparities to promote eye care service utilization in South Korea.

Indexed as

Population SurveillanceAge DistributionChildChild, PreschoolCross-Sectional StudiesEye DiseasesFemaleHumansMaleNutrition SurveysPatient Acceptance of Health CarePrevalenceRepublic of KoreaRetrospective StudiesRisk FactorsVisual AcuityEyeHealthcare disparitiesNational Health and Nutrition Examination SurveySocioeconomic factorsSouth Korea

Identifiers

PMID28243025
PMCPMC5327176
OpenAlexW2590601224

What OpenQuestion holds

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LicenceCC BY-NC
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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.