Evidence map›Paper›PMID 33377668›Full record

ArticleDementia and neurocognitive disorders2020

Vulnerable Strata to Non-Adherence and Overuse in Treatment for Patients with Cognitive Impairment.

Yeonsil Moon, Jae Sung Lim, Chan Nyoung Lee, Hojin Choi

Abstract read
In one paragraph

Article in Dementia and neurocognitive disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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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.

Yeonsil MoonDepartment of Neurology, Konkuk University School of Medicine and Konkuk University Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-7770-4127
Jae Sung LimDepartment of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, College of Medicine, Hallym University, Anyang, Korea.ORCID https://orcid.org/0000-0001-6157-2908
Chan Nyoung LeeDepartment of Neurology, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-1285-4658
Hojin ChoiDepartment of Neurology, Hanyang University Guri Hospital, Guri, Korea. chj@hanyang.ac.kr.ORCID https://orcid.org/0000-0002-9637-4423

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeAppropriate medication treatment could enable both cognitively impaired patients and caregivers to hold on their cognitive functioning and quality of life. Thus, medication management and the factors influencing how management for this condition is carried out must be identified. In this study we aimed to evaluate the frequency of medication nonadherence (MNA) or drug overuse for cognitive impairment (DOC) and to extract significant variables, including the demographic and social characteristics, vascular risk factors, and cognitive status, for the diagnosis of MNA and DOC in Korean patients.

methodsWe investigated patients aged over 50 years between March 2019 and June 2019 via the cognitive enHancement of patIents with acQuired cognitive impairment (HIQ) campaign. MNA was defined as a participant who was classified as having cognitive impairment but did not take any cognition-related drugs, whereas DOC was defined as a participant who had normal cognition but was taking cognition-related drugs.

resultsWe included 10,767 patients. The MNA group consisted of 337 participants, whereas the DOC group comprised 1,107 participants. The factors that could differentiate the MNA group from the normal-behavior group were age, education, sex, and the total Korean version of Mini-Mental State Examination (K-MMSE) score. The factors that could differentiate the DOC group from the normal medication-behavior group were age, sex, residential distinction, experience of a dementia screening test, and the total K-MMSE score.

conclusionsThe underlying factors contributing to inadequate dementia-medication management must be understood, and intervention or support is needed to enable safe medication management.

Indexed as

Cognitive ImpairmentHealth Care SystemMedication AdherencePatient ComplianceTreatment Adherence and Compliance

Identifiers

PMID33377668
PMCPMC7781736

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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.