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dc.contributor.authorGarcía Ribas, Guillermo
dc.contributor.authorGarcía Arcelay, Elena
dc.contributor.authorMontoya, Alonso
dc.contributor.authorMaurino, Jorge
dc.contributor.authorBallesteros Rodríguez, Francisco Javier ORCID
dc.date.accessioned2021-06-18T07:55:44Z
dc.date.available2021-06-18T07:55:44Z
dc.date.issued2021-06
dc.identifier.citationNeurology And Therapy 10(1) : 213-224 (2021)es_ES
dc.identifier.issn2193-8253
dc.identifier.issn2193-6536
dc.identifier.urihttp://hdl.handle.net/10810/51923
dc.description.abstractIntroduction: The 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. Methods: A 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. Results: A 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. Conclusion: Although the ADKS does not present a unidimensional structure, its independent items together provide a comprehensive spectrum of information regarding AD knowledge.es_ES
dc.description.sponsorshipThis study and the journal~s Rapid Service Fee were funded by Roche Farma Spain Medical Departmentes_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/es/*
dc.subjectalzheimer's diseasees_ES
dc.subjectalzheimer's disease knowledge scalees_ES
dc.subjectknowledgees_ES
dc.subjectpsychometric assessmentes_ES
dc.titleQuantifying Knowledge of Alzheimer's Disease: an Analysis of the Psychometric Properties of the Alzheimer's Disease Knowledge Scalees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderThis article is licensed under a Creative Commons Attribution Non Commercial 4.0 International License (CC BY-NC 4.0)es_ES
dc.rights.holderAtribución-NoComercial 3.0 España*
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s40120-021-00230-xes_ES
dc.identifier.doi10.1007/s40120-021-00230-x
dc.departamentoesNeurocienciases_ES
dc.departamentoeuNeurozientziakes_ES


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This article is licensed under a Creative Commons Attribution Non Commercial 4.0 International License (CC BY-NC 4.0)
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