A holistic approach to evaluating Parkinson’s disease, using the Delphi method: a linear evaluation index

Detalhes bibliográficos
Autor(a) principal: SERRANO-DUEÑAS,Marcos
Data de Publicação: 2022
Outros Autores: MASABANDA,Luis, LUQUIN,Maria-Rosario
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Arquivos de neuro-psiquiatria (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2022000200145
Resumo: ABSTRACT Background: Parkinson’s disease (PD) is a chronic disease that presents a multitude of symptoms, with symptoms of both motor and nonmotor nature. The Delphi method is widely used to create consensuses among experts in a field of knowledge. Objective: In order to reach a consensus on the values that should be assigned to the different motor and nonmotor manifestations of Parkinson’s disease, a linear evaluation index (LEI) was created. Subsequently, the metric properties of this index were studied. Methods: 120 consecutive patients with a Parkinson’s diagnosis were chosen in accordance with the UKPDSBB criteria. The Delphi method was used to reach a consensus among experts regarding the values of each of the manifestations included. Subsequently, the following attributes were analyzed: quality and acceptability of the data; reliability, in terms of internal consistency, reliability index, Cronbach’s alpha and standard error of measurement; and validity, in terms of convergent validity and validity for known groups. Results: Twenty-five experts participated. The importance factor did not differ between the first round and the second round (chi-square test). We analyzed the responses that assigned percentage values to the 10 dimensions of the LEI. Both in the first and in the second round, the values of the scattering coefficient Vr were always close to 0. The homogeneity index was 0.36; the corrected-item total correlation values ranged from 0.02 to 0.7; Cronbach’s α was 0.69; and the SEM was 4.23 (55.1%). Conclusions: The LEI was obtained through rigorous recommended methodology. The results showed adequate metric properties.
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spelling A holistic approach to evaluating Parkinson’s disease, using the Delphi method: a linear evaluation indexParkinson DiseaseHolistic HealthDelphi TechniquePsychometricsABSTRACT Background: Parkinson’s disease (PD) is a chronic disease that presents a multitude of symptoms, with symptoms of both motor and nonmotor nature. The Delphi method is widely used to create consensuses among experts in a field of knowledge. Objective: In order to reach a consensus on the values that should be assigned to the different motor and nonmotor manifestations of Parkinson’s disease, a linear evaluation index (LEI) was created. Subsequently, the metric properties of this index were studied. Methods: 120 consecutive patients with a Parkinson’s diagnosis were chosen in accordance with the UKPDSBB criteria. The Delphi method was used to reach a consensus among experts regarding the values of each of the manifestations included. Subsequently, the following attributes were analyzed: quality and acceptability of the data; reliability, in terms of internal consistency, reliability index, Cronbach’s alpha and standard error of measurement; and validity, in terms of convergent validity and validity for known groups. Results: Twenty-five experts participated. The importance factor did not differ between the first round and the second round (chi-square test). We analyzed the responses that assigned percentage values to the 10 dimensions of the LEI. Both in the first and in the second round, the values of the scattering coefficient Vr were always close to 0. The homogeneity index was 0.36; the corrected-item total correlation values ranged from 0.02 to 0.7; Cronbach’s α was 0.69; and the SEM was 4.23 (55.1%). Conclusions: The LEI was obtained through rigorous recommended methodology. The results showed adequate metric properties.Academia Brasileira de Neurologia - ABNEURO2022-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2022000200145Arquivos de Neuro-Psiquiatria v.80 n.2 2022reponame:Arquivos de neuro-psiquiatria (Online)instname:Academia Brasileira de Neurologiainstacron:ABNEURO10.1590/0004-282x-anp-2020-0579info:eu-repo/semantics/openAccessSERRANO-DUEÑAS,MarcosMASABANDA,LuisLUQUIN,Maria-Rosarioeng2022-03-22T00:00:00Zoai:scielo:S0004-282X2022000200145Revistahttp://www.scielo.br/anphttps://old.scielo.br/oai/scielo-oai.php||revista.arquivos@abneuro.org1678-42270004-282Xopendoar:2022-03-22T00:00Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologiafalse
dc.title.none.fl_str_mv A holistic approach to evaluating Parkinson’s disease, using the Delphi method: a linear evaluation index
title A holistic approach to evaluating Parkinson’s disease, using the Delphi method: a linear evaluation index
spellingShingle A holistic approach to evaluating Parkinson’s disease, using the Delphi method: a linear evaluation index
SERRANO-DUEÑAS,Marcos
Parkinson Disease
Holistic Health
Delphi Technique
Psychometrics
title_short A holistic approach to evaluating Parkinson’s disease, using the Delphi method: a linear evaluation index
title_full A holistic approach to evaluating Parkinson’s disease, using the Delphi method: a linear evaluation index
title_fullStr A holistic approach to evaluating Parkinson’s disease, using the Delphi method: a linear evaluation index
title_full_unstemmed A holistic approach to evaluating Parkinson’s disease, using the Delphi method: a linear evaluation index
title_sort A holistic approach to evaluating Parkinson’s disease, using the Delphi method: a linear evaluation index
author SERRANO-DUEÑAS,Marcos
author_facet SERRANO-DUEÑAS,Marcos
MASABANDA,Luis
LUQUIN,Maria-Rosario
author_role author
author2 MASABANDA,Luis
LUQUIN,Maria-Rosario
author2_role author
author
dc.contributor.author.fl_str_mv SERRANO-DUEÑAS,Marcos
MASABANDA,Luis
LUQUIN,Maria-Rosario
dc.subject.por.fl_str_mv Parkinson Disease
Holistic Health
Delphi Technique
Psychometrics
topic Parkinson Disease
Holistic Health
Delphi Technique
Psychometrics
description ABSTRACT Background: Parkinson’s disease (PD) is a chronic disease that presents a multitude of symptoms, with symptoms of both motor and nonmotor nature. The Delphi method is widely used to create consensuses among experts in a field of knowledge. Objective: In order to reach a consensus on the values that should be assigned to the different motor and nonmotor manifestations of Parkinson’s disease, a linear evaluation index (LEI) was created. Subsequently, the metric properties of this index were studied. Methods: 120 consecutive patients with a Parkinson’s diagnosis were chosen in accordance with the UKPDSBB criteria. The Delphi method was used to reach a consensus among experts regarding the values of each of the manifestations included. Subsequently, the following attributes were analyzed: quality and acceptability of the data; reliability, in terms of internal consistency, reliability index, Cronbach’s alpha and standard error of measurement; and validity, in terms of convergent validity and validity for known groups. Results: Twenty-five experts participated. The importance factor did not differ between the first round and the second round (chi-square test). We analyzed the responses that assigned percentage values to the 10 dimensions of the LEI. Both in the first and in the second round, the values of the scattering coefficient Vr were always close to 0. The homogeneity index was 0.36; the corrected-item total correlation values ranged from 0.02 to 0.7; Cronbach’s α was 0.69; and the SEM was 4.23 (55.1%). Conclusions: The LEI was obtained through rigorous recommended methodology. The results showed adequate metric properties.
publishDate 2022
dc.date.none.fl_str_mv 2022-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2022000200145
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0004-282x-anp-2020-0579
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Neurologia - ABNEURO
publisher.none.fl_str_mv Academia Brasileira de Neurologia - ABNEURO
dc.source.none.fl_str_mv Arquivos de Neuro-Psiquiatria v.80 n.2 2022
reponame:Arquivos de neuro-psiquiatria (Online)
instname:Academia Brasileira de Neurologia
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instname_str Academia Brasileira de Neurologia
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reponame_str Arquivos de neuro-psiquiatria (Online)
collection Arquivos de neuro-psiquiatria (Online)
repository.name.fl_str_mv Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologia
repository.mail.fl_str_mv ||revista.arquivos@abneuro.org
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