A holistic approach to evaluating Parkinson’s disease, using the Delphi method: a linear evaluation index
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
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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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 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2022000200145 |
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 instacron:ABNEURO |
instname_str |
Academia Brasileira de Neurologia |
instacron_str |
ABNEURO |
institution |
ABNEURO |
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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1754212790585786368 |