Evidence map›Paper›PMID 36207716›Full record

ArticleBMC public health2022

The impact of entering poverty on the unmet medical needs of Korean adults: a 5-year cohort study.

Yun Hwa Jung, Sung Hoon Jeong, Eun-Cheol Park, Sung-In Jang

Abstract read
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Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

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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

4 citing papers in PubMed.

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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

4 authors.

Yun Hwa JungDepartment of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea.
Sung Hoon JeongDepartment of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea.
Eun-Cheol ParkInstitute of Health Services Research, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Sung-In JangInstitute of Health Services Research, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea. JANGSI@yuhs.ac.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies on the effects of poverty on unmet medical needs are limited. Therefore, this study aimed to identify the impact of entering poverty on the unmet medical needs of South Korean adults.

methodsThis study used data from the Korea Health Panel Survey (2014-2018) and included 10,644 adults. Logistic regression was used to examine the impact of entering poverty on unmet medical needs (poverty status: no → no, yes → no, no → yes, yes → yes; unmet medical needs: no, yes). Poverty line was considered to be below 50% of the median income.

resultsWhen entering poverty, the proportion of unmet medical needs was 22.8% (adjusted odds ratio [AOR] 1.17, 95% confidence interval [CI] 1.01-1.36). Men (AOR 1.29, 95% CI 1.02-1.64), rural dwellers (AOR 1.24, 95% CI 1.01-1.50), and national health insurance (NHI) beneficiaries (AOR 1.21, 95% CI 1.04-1.42) were susceptible to unmet medical needs and entering poverty. Poverty line with below-median 40% had an AOR of 1.48 (95% CI 1.28-1.71). For the cause of unmet medical needs, the AORs were 1.50 for poverty (95% CI 1.16-1.94) and 1.08 for low accessibility to health care and information (95% CI 0.79-1.48).

conclusionsEntering poverty had the potential to adversely affect unmet medical needs. Men, rural dwellers, and NHI beneficiaries were vulnerable to unmet medical needs after entering poverty. Rigid definitions of poverty and inaccessibility to health care and information increase the likelihood of unmet medical needs and poverty. Society must alleviate unmet medical needs due to the increase in the population entering poverty.

Indexed as

Health Services AccessibilityHealth Services Needs and DemandAdultCohort StudiesHumansMalePovertyRepublic of KoreaAdultEntering povertyHealth care accessibilityLongitudinalUnmet medical needs

Identifiers

PMID36207716
PMCPMC9547477

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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.