Publication:
Rasch analysis of the living with chronic illness scale in Parkinson's disease

dc.contributor.authorAmbrosio, Leire
dc.contributor.authorRodriguez-Blazquez, Carmen
dc.contributor.authorAyala, Alba
dc.contributor.authorForjaz, Maria João
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España)
dc.date.accessioned2020-09-29T09:17:54Z
dc.date.available2020-09-29T09:17:54Z
dc.date.issued2020-09-15
dc.description.abstractBackground: Neurologists play an essential role in facilitating the patient's process of living with Parkinson's disease (PD). The Living with Chronic Illness Scale-PD (LW-CI-PD) is a unique available clinical tool that evaluates how the patient is living with PD. The objective of the study was to analyse the LW-CI-PD properties according to the Rasch model. Methods: An open, international, cross-sectional study was carried out in 324 patients with Parkinson's disease from four Latin American countries and Spain. Psychometric properties of the LW-CI-PD were tested using Rasch analysis: fit to the Rasch model, item local independency, unidimensionality, reliability, and differential item functioning by age and gender. Results: Original LW-CI-PD do not fit Rasch model. Modifications emerged included simplifying the response scale and deleting misfit items, the dimensions Acceptance, Coping and Integration showed a satisfactory fit to the Rasch model, with reliability indices greater than 0.70. The dimensions Self-management and Adjustment to the disease did not reach fit to the Rasch model. Conclusion: Suggestions for improving the LW-CI-PD include a multidimensional and shorter scale with 12 items grouped in three subscales with a simpler response scheme. The final LW-CI-PD Scale version is a reliable scale, with good internal construct validity, that provides Rasch transformed results on linear metric scale.es_ES
dc.description.peerreviewedes_ES
dc.description.sponsorshipThis work has been partially supported in Spain by the Ministry of Science, Innovation and University of the Spanish Government (FEDER/Ministerio de Ciencia, Innovación y Universidades – Agencia Estatal de Investigación/ Proyecto (CSO2017–82691-R)). The funder has contributed to finance the open Access of the Journal BMC Neurology.es_ES
dc.format.number1es_ES
dc.format.page346es_ES
dc.format.volume20es_ES
dc.identifier.citationBMC Neurol 2020 Sep 15;20(1):346.es_ES
dc.identifier.doi10.1186/s12883-020-01926-7es_ES
dc.identifier.e-issn1471-2377es_ES
dc.identifier.journalBMC neurologyes_ES
dc.identifier.pubmedID32933508es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/11083
dc.language.isoenges_ES
dc.publisherBioMed Central (BMC)
dc.relation.projectIDinfo:eu_repo/grantAgreement/ES/CSO2017–82691-Res_ES
dc.relation.publisherversionhttps://doi.org/10.1186/s12883-020-01926-7es_ES
dc.repisalud.centroISCIII::Centro Nacional de Epidemiologíaes_ES
dc.repisalud.centroISCIII::Escuela Nacional de Sanidades_ES
dc.repisalud.institucionISCIIIes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.meshLW-CI-PDes_ES
dc.subject.meshLiving withes_ES
dc.subject.meshParkinson’s diseasees_ES
dc.subject.meshPsychometricses_ES
dc.subject.meshRasch analysises_ES
dc.titleRasch analysis of the living with chronic illness scale in Parkinson's diseasees_ES
dc.typeresearch articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication29e894ba-7954-479f-b6e1-34df229abf98
relation.isAuthorOfPublication88f80e70-adbb-4a33-8f2f-3ca9e26b356a
relation.isAuthorOfPublication16cb2ba7-777d-4912-ac39-11335a3dd901
relation.isAuthorOfPublication.latestForDiscovery29e894ba-7954-479f-b6e1-34df229abf98
relation.isFunderOfPublication1aef4c3b-1ee5-4534-83b4-3f3811c67280
relation.isFunderOfPublication.latestForDiscovery1aef4c3b-1ee5-4534-83b4-3f3811c67280
relation.isPublisherOfPublication4fe896aa-347b-437b-a45b-95f4b60d9fd3
relation.isPublisherOfPublication.latestForDiscovery4fe896aa-347b-437b-a45b-95f4b60d9fd3

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
RaschAnalysisOfThe_2020.pdf
Size:
714.52 KB
Format:
Adobe Portable Document Format
Description: