Evidence map›Paper›PMID 34411139›Full record

ArticlePloS one2021

Association between the severity of new-onset depression and unmet healthcare needs of South Korean adults.

Su Yeon Kim, Wonjeong Jeong, Eun-Cheol Park, Sohee Park, Sung-In Jang

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

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

5 authors.

Su Yeon KimHealth Insurance Review & Assessment Service, Gangwon, Republic of Korea.
Wonjeong JeongDepartment of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea.
Eun-Cheol ParkInstitute of Health Services Research, Yonsei University, Seoul, Republic of Korea.ORCID 0000-0002-2306-5398
Sohee ParkDepartment of Biostatistics, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea.
Sung-In JangInstitute of Health Services Research, Yonsei University, Seoul, Republic of Korea.ORCID 0000-0002-0760-2878

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIdentifying whether the demand for medical services is catered to is an important issue. Given that depression is a major contributor to the overall global burden of disease, it could affect the use of healthcare. This study aims to examine the association between the severity of new-onset depression and unmet healthcare needs among South Korean adults.

methodsData from 15,588 participants, derived from the 2014, 2016, and 2018 Korean National Health and Nutrition Examination Survey, were examined. Only individuals who were not diagnosed with depression was included to exclude those who visited hospitals to treat depression or were experiencing unmet healthcare needs due to depression. Depression was measured using the Patient Health Questionnaire-9 and unmet healthcare needs acted as the dependent variable. A multiple/multinomial logistic regression analysis was built to analyze the association between the variables.

resultsIndividuals with severe depression had a higher risk of having unmet healthcare needs compared to those without (men: adjusted OR = 2.05, 95% CI = 1.40-3.00; women: adjusted OR = 2.20, 95% CI = 1.72-2.82). White-collar men with severe depression also had a higher risk of having unmet healthcare needs (adjusted OR = 9.72, 95% CI = 4.73-20.00). Individuals with severe depression had a higher risk of having unmet healthcare needs due to economic hardship than those without depression (men: adjusted OR = 3.01, 95% CI = 1.76-5.14, women: adjusted OR = 2.93, 95% CI = 1.96-4.38).

conclusionsThis study identified a significant relationship between the severity of new-onset depression and the risk of having unmet healthcare needs among South Korean adults. Our study suggests that having severe depression contributed to a higher risk of unmet healthcare needs. Proper care to manage depression can be promoted through future intervention programs that alleviate the risk of having unmet healthcare needs.

Indexed as

Socioeconomic FactorsAdultAgedDepressionFemaleHealth FacilitiesHealth Services AccessibilityHealth Services Needs and DemandHumansMaleMiddle AgedNutrition SurveysPovertyRepublic of KoreaRisk FactorsYoung Adult

Identifiers

PMID34411139
PMCPMC8375986

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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.