Evidence map›Paper›PMID 36564762›Full record

ArticleBMC neurology2022

Health-related quality of life using WHODAS 2.0 and associated factors 1 year after stroke in Korea: a multi-centre and cross-sectional study.

Hey Jean Lee, Jung-Kook Song, Jiyoung Moon, Keonyeop Kim, Hyeung-Keun Park, Gil-Won Kang, Jun-Ho Shin, Jongsoo Kang, Byoung-Gwon Kim, Young-Hoon Lee and 5 more

Abstract readMulticenter Study
In one paragraph

Article in BMC neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  5. Review
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

15 authors.

Hey Jean LeeDepartment of Preventive Medicine, Gangwon Regional Cardiocerebrovascular Center, Kangwon National University Hospital, Chuncheon, Republic of Korea.
Jung-Kook SongDepartment of Preventive Medicine, College of Medicine, Jeju National University, Jeju Regional Cardiocerebrovascular Center, Jeju National University Hospital, Aran 13gil 15, Jeju-si, Jeju, 63241, Republic of Korea. salbab@hotmail.com.ORCID http://orcid.org/0000-0002-5902-722X
Jiyoung MoonDepartment of Preventive Medicine, Gangwon Regional Cardiocerebrovascular Center, Kangwon National University Hospital, Chuncheon, Republic of Korea.
Keonyeop KimDepartment of Preventive Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Hyeung-Keun ParkDepartment of Health Policy and Management, School of Medicine, Jeju National University, Jeju, Republic of Korea.
Gil-Won KangDepartment of Health Informatics and Management, College of Medicine, Chungbuk National University, Cheong-ju, Republic of Korea.
Jun-Ho ShinDepartment of Preventive Medicine, School of Medicine, Chonnam National University, Gwangju, Republic of Korea.
Jongsoo KangDepartment of Neurology, Gyeongnam Regional Cerebrovascular Center, Gyeongsang National University Hospital, Jinju, Republic of Korea.
Byoung-Gwon KimBusan Regional Cardiocerebrovascular Center, Dong-A University Hospital, Busan, Republic of Korea.
Young-Hoon LeeDepartment of Preventive Medicine, Wonkwang Medical Science, Wonkwang University School of Medicine, Jeonbuk Regional Cardiocerebrovascular Center, Wonkwang University Hospital, Iksan, Jeonbuk, Republic of Korea.
Hye Seon JeongDepartment of Neurology, Daejeon-Chungnam Regional Cardiocerebrovascular Center, Chungnam National University Hospital, Daejeon, Republic of Korea.
Lee HeeyoungSeoul National University Bundang Hospital, Seongnam, Gyeonggi, Republic of Korea.
Won Kyung LeeDepartment of Prevention and Management, Inha University Hospital, School of Medicine, Inha University, Incheon, Republic of Korea.
Seongheon KimKangwon National University School of Medicine, Chuncheon, Republic of Korea.
Young-Kwon ParkPrevention and Management Center, Ulsan Regional Cardiocerebrovascular Center, Ulsan University Hospital, Ulsan, Republic of Korea.

Funding

Ministry of Health and Welfare of Korea Ministry of Health and Welfare of Korea
6 · The paper itself

Abstract

backgroundLittle is known about the self-perceived level of disability of stroke survivors in the community. We aimed to characterise Health-related quality of life (HRQoL) 1 year after stroke and investigate how sociodemographic and stroke-related factors and medical adherence explain the self-perceived level of disability in a Korean stroke population.

methodsThis was a multicentre cross-sectional study. A total of 382 ischaemic stroke survivors at 1 year after onset from 11 university hospitals underwent a one-session assessment, including socioeconomic variables, the modified Rankin Scale (mRS), various neurological sequelae, the Morisky, Green and Levin-Medication Adherence Questionnaire (MGL), and the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) 36-items. The relationship between disability and different variables was analysed using ordinal logistic regression.

resultsThe prevalence of disability based on global WHODAS 2.0 was 62.6% (mild, 41.6%; moderate, 16.0%; severe, 5.0%). The prevalence of severe disability was higher in participation in society (16.8%) and getting around (11.8%) than in other domains. Low MGL- motivation was the only factor determining a significant association between all six domains of disability after adjustment. Different predictors for specific domains were age, mRS, dysarthria, trouble seeing, cognition problems, and MGL-motivation for understanding and communicating; age, recurrent stroke, mRS, hemiplegia, facial palsy, general weakness, and MGL-motivation for getting around; age, education, mRS, hemiplegia, and MGL-motivation for self-care; education, recurrent stroke, hemiplegia, dysarthria, and MGL-motivation for getting along with people; age, education, income, mRS, hemiplegia, dysarthria, MGL-knowledge, and MGL-motivation for life activities; living without a spouse, mRS, hemiplegia, dysarthria, trouble seeing, cognition problems, general weakness, and MGL-motivation for participation in society.

conclusionsSelf-perceived disability according to the WHODAS 2.0 at 1 year after stroke was highly prevalent. Each disability domain showed a different prevalence and associated factors. Interventions promoting medical adherence to motivation seemed to help achieve high HRQoL in all domains.

Indexed as

Brain IschemiaStrokeActivities of Daily LivingCross-Sectional StudiesDisability EvaluationDysarthriaHemiplegiaHumansQuality of LifeRepublic of KoreaComplicationsDisabilityMedical adherenceMotivationQuality of lifeStrokeWHODAS 2.0

Identifiers

PMID36564762
PMCPMC9789571

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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.