Evidence map›Paper›PMID 33512697›Full record

ArticleNeurology and therapy2021

Quantifying Knowledge of Alzheimer's Disease: An Analysis of the Psychometric Properties of the Alzheimer's Disease Knowledge Scale.

Guillermo Garcia-Ribas, Elena García-Arcelay, Alonso Montoya, Jorge Maurino, Javier Ballesteros

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Article in Neurology and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Testing the knowledge of Alzheimer's diseaseFrontiers in public health · 2022
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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

5 authors.

Guillermo Garcia-RibasDepartment of Neurology, Hospital Universitario Ramón Y Cajal, Madrid, Spain.
Elena García-ArcelayMedical Department, Roche Farma, Madrid, Spain. elena.garcia_arcelay.eg1@roche.com.ORCID http://orcid.org/0000-0002-2964-2045
Alonso MontoyaMedical Affairs, Neuroscience, Hoffmann-La Roche Limited, Mississauga, ON, Canada.
Jorge MaurinoMedical Department, Roche Farma, Madrid, Spain.
Javier BallesterosDepartment of Neurosciences and CIBERSAM, University of the Basque Country, Leioa, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Alzheimer's Disease Knowledge Scale (ADKS) is one of the most popular instruments for assessing a person's knowledge regarding Alzheimer's disease (AD). The objective of this study was to explore ADKS item characteristics with item response theory (IRT) procedures.

methodsA noninterventional web-based study was conducted. A nonparametric IRT procedure, Mokken analysis, was used to explore the underlying latent structure of the ADKS and ADKS item characteristics regarding scalability and violations of the monotone homogeneity (MH) model. A random-effects meta-analysis was implemented that combined ADKS scores from independent studies.

resultsA total of 447 employees of a pharmaceutical company participated in the study. The mean ADKS score was 21.2 (SD 2.8). Mokken analysis showed that most ADKS items (22 of 30) do not fit to any scale and can be considered to be scale independent. Two items (#1: particularly prone to depression; #20: depression can be mistaken for AD) fit to a domain relating to depression, another two items (#2: mental exercise can prevent AD development; #8: benefit of psychotherapy) can be related to potential prevention and improvement, and four items (#12: poor nutrition can make the symptoms worse; #18: high cholesterol may increase the risk of AD; #26: high blood pressure may increase the risk of AD; #27: genes can only partially account for AD development) fit to a risk factor domain. As expected from those results, neither the overall scale (H = 0.033) nor its items showed appropriate scalability index values, suggesting that ADKS does not fit to a MH model. Eleven items showed violations of the assumptions of the MH model. The meta-analytical average score was 21.78 (95% CI 20.67-22.90), with healthcare professionals and caregivers showing the highest levels of AD knowledge.

conclusionAlthough the ADKS does not present a unidimensional structure, its independent items together provide a comprehensive spectrum of information regarding AD knowledge.

Indexed as

Alzheimer’s diseaseAlzheimer’s Disease Knowledge ScaleKnowledgePsychometric assessment

Identifiers

PMID33512697
PMCPMC8139996

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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.