Evidence map›Paper›PMID 35409452›Full record

ArticleInternational journal of environmental research and public health2022

Factors Associated with Advance Directives Documentation: A Nationwide Cross-Sectional Survey of Older Adults in Korea.

Boram Kim, Jiyeon Choi, Ilhak Lee

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 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

3 authors.

Boram KimDivision of Health Policy, Bureau of Health Policy, Ministry of Health and Welfare, Sejong-si 30113, Korea.ORCID 0000-0002-0325-9435
Jiyeon ChoiDivision of Medical Law & Ethics, Department of Medical Humanities and Social Sciences, Yonsei University College of Medicine, Seoul 03722, Korea.ORCID 0000-0003-0544-9598
Ilhak LeeDivision of Medical Law & Ethics, Department of Medical Humanities and Social Sciences, Yonsei University College of Medicine, Seoul 03722, Korea.ORCID 0000-0002-6531-8752

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advance directives (ADs) can support autonomy in making healthcare decisions and minimize unnecessary discomfort during the treatment process at the end of life (EOL). This study aimed to investigate the factors that influence AD documentation among community-dwelling older adults. We used data from the National Survey of Older Koreans which was conducted nationwide in 2020. Data from participants aged 65 years or older were extracted using stratified multistage cluster sampling and the survey was conducted through one-on-one interviews. A total of 9920 older adults were included in this study: 421 respondents (4.7%) claimed that they had prepared for AD. Multivariable logistic regression analysis showed that being 75 years or older, having higher educational attainment, higher income, having any chronic disease(s), being screened for dementia in the past, being against futile life-sustaining treatment, taking a lecture on death and being registered for organ donation were positively associated with AD. Furthermore, when health was rated as average, it was associated with reduced odds of AD documentation compared when health was rated as good. These results suggest that more targeted efforts are required to promote EOL discussions among older adults.

Indexed as

Advance DirectivesDecision MakingAgedCross-Sectional StudiesDocumentationHumansRepublic of Koreaadvance care planningadvance directivesend-of-life careKoreanlife-sustaining treatmentolder adults

Identifiers

PMID35409452
PMCPMC8997513

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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.