VES-13 and WHOQOL-bref cutoff points to detect quality of life in older adults in primary health care

Detalhes bibliográficos
Autor(a) principal: Silva,Samira Monteiro
Data de Publicação: 2019
Outros Autores: Santana,Alfredo Nicodemos Cruz, Silva,Nayhane Nayara Barbosa da, Novaes,Maria Rita Carvalho Garbi
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Saúde Pública
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102019000100222
Resumo: ABSTRACT OBJECTIVE: To determine Vulnerable Elders Survey (VES-13) and WHOQOL-bref cutoff points to detect poor quality of life (QoL) in older individuals. METHODS: This is a cross-sectional study, performed in all primary health care units in Samambaia, DF, Brazil. The data were collected from August 2016 to May 2017. The sample size of 466 older individuals treated in primary health care was obtained considering a 5% margin of error, 95% confidence level, 50% prevalence, and 20% possible losses, in a population of 13,259 older individuals. The subjects answered the VES-13 and WHOQOL-bref questionnaires. They were divided into 3 subgroups: poorQoL (older individuals with self-reported very poor or poor QoL AND very dissatisfied or dissatisfied with their health), goodQoL (very good or good QoL AND very satisfied or satisfied with Health) and indeterminateQoL (NOT belonging to poorQoL or goodQoL subgroups). A receiver-operating characteristic (ROC) curve was performed with poorQoL (case) versus goodQoL (control) to determine the cutoff score in VES-13 and WHOQOL-bref. A diagnostic test using these cutoffs was carried out in all older individuals (n = 466). RESULTS: The VES-13 and WHOQOL-bref cutoff points to detect poorQoL were ≥ 2 and < 60, respectively. The area under ROC curve of VES-13 and WHOQOL-bref was 0.741 (CI95% 0.659-0.823; p < 0.001) and 0.934 (CI95% 0.881-0.987; p < 0.001), respectively. In diagnostic tests, VES-13 showed 84% sensitivity and 98.2% negative predictive value, and WHOQOL-bref, 88% sensitivity and 99% negative predictive value. CONCLUSIONS: VES-13 score ≥ 2 and WHOQOL-bref score < 60 adequately detected poorQoL in patients treated in primary health care. Our data suggest that older individuals with these scores require special treatment such as geriatrics collaborative care to improve this scenario, considering QoL impact on mortality.
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spelling VES-13 and WHOQOL-bref cutoff points to detect quality of life in older adults in primary health careAgedFrail ElderlyIndicators of Quality of LifeTriage, classificationSensitivity and SpecificityPrimary Health CareABSTRACT OBJECTIVE: To determine Vulnerable Elders Survey (VES-13) and WHOQOL-bref cutoff points to detect poor quality of life (QoL) in older individuals. METHODS: This is a cross-sectional study, performed in all primary health care units in Samambaia, DF, Brazil. The data were collected from August 2016 to May 2017. The sample size of 466 older individuals treated in primary health care was obtained considering a 5% margin of error, 95% confidence level, 50% prevalence, and 20% possible losses, in a population of 13,259 older individuals. The subjects answered the VES-13 and WHOQOL-bref questionnaires. They were divided into 3 subgroups: poorQoL (older individuals with self-reported very poor or poor QoL AND very dissatisfied or dissatisfied with their health), goodQoL (very good or good QoL AND very satisfied or satisfied with Health) and indeterminateQoL (NOT belonging to poorQoL or goodQoL subgroups). A receiver-operating characteristic (ROC) curve was performed with poorQoL (case) versus goodQoL (control) to determine the cutoff score in VES-13 and WHOQOL-bref. A diagnostic test using these cutoffs was carried out in all older individuals (n = 466). RESULTS: The VES-13 and WHOQOL-bref cutoff points to detect poorQoL were ≥ 2 and < 60, respectively. The area under ROC curve of VES-13 and WHOQOL-bref was 0.741 (CI95% 0.659-0.823; p < 0.001) and 0.934 (CI95% 0.881-0.987; p < 0.001), respectively. In diagnostic tests, VES-13 showed 84% sensitivity and 98.2% negative predictive value, and WHOQOL-bref, 88% sensitivity and 99% negative predictive value. CONCLUSIONS: VES-13 score ≥ 2 and WHOQOL-bref score < 60 adequately detected poorQoL in patients treated in primary health care. Our data suggest that older individuals with these scores require special treatment such as geriatrics collaborative care to improve this scenario, considering QoL impact on mortality.Faculdade de Saúde Pública da Universidade de São Paulo2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102019000100222Revista de Saúde Pública v.53 2019reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.11606/s1518-8787.2019053000802info:eu-repo/semantics/openAccessSilva,Samira MonteiroSantana,Alfredo Nicodemos CruzSilva,Nayhane Nayara Barbosa daNovaes,Maria Rita Carvalho Garbieng2019-03-28T00:00:00Zoai:scielo:S0034-89102019000100222Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2019-03-28T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv VES-13 and WHOQOL-bref cutoff points to detect quality of life in older adults in primary health care
title VES-13 and WHOQOL-bref cutoff points to detect quality of life in older adults in primary health care
spellingShingle VES-13 and WHOQOL-bref cutoff points to detect quality of life in older adults in primary health care
Silva,Samira Monteiro
Aged
Frail Elderly
Indicators of Quality of Life
Triage, classification
Sensitivity and Specificity
Primary Health Care
title_short VES-13 and WHOQOL-bref cutoff points to detect quality of life in older adults in primary health care
title_full VES-13 and WHOQOL-bref cutoff points to detect quality of life in older adults in primary health care
title_fullStr VES-13 and WHOQOL-bref cutoff points to detect quality of life in older adults in primary health care
title_full_unstemmed VES-13 and WHOQOL-bref cutoff points to detect quality of life in older adults in primary health care
title_sort VES-13 and WHOQOL-bref cutoff points to detect quality of life in older adults in primary health care
author Silva,Samira Monteiro
author_facet Silva,Samira Monteiro
Santana,Alfredo Nicodemos Cruz
Silva,Nayhane Nayara Barbosa da
Novaes,Maria Rita Carvalho Garbi
author_role author
author2 Santana,Alfredo Nicodemos Cruz
Silva,Nayhane Nayara Barbosa da
Novaes,Maria Rita Carvalho Garbi
author2_role author
author
author
dc.contributor.author.fl_str_mv Silva,Samira Monteiro
Santana,Alfredo Nicodemos Cruz
Silva,Nayhane Nayara Barbosa da
Novaes,Maria Rita Carvalho Garbi
dc.subject.por.fl_str_mv Aged
Frail Elderly
Indicators of Quality of Life
Triage, classification
Sensitivity and Specificity
Primary Health Care
topic Aged
Frail Elderly
Indicators of Quality of Life
Triage, classification
Sensitivity and Specificity
Primary Health Care
description ABSTRACT OBJECTIVE: To determine Vulnerable Elders Survey (VES-13) and WHOQOL-bref cutoff points to detect poor quality of life (QoL) in older individuals. METHODS: This is a cross-sectional study, performed in all primary health care units in Samambaia, DF, Brazil. The data were collected from August 2016 to May 2017. The sample size of 466 older individuals treated in primary health care was obtained considering a 5% margin of error, 95% confidence level, 50% prevalence, and 20% possible losses, in a population of 13,259 older individuals. The subjects answered the VES-13 and WHOQOL-bref questionnaires. They were divided into 3 subgroups: poorQoL (older individuals with self-reported very poor or poor QoL AND very dissatisfied or dissatisfied with their health), goodQoL (very good or good QoL AND very satisfied or satisfied with Health) and indeterminateQoL (NOT belonging to poorQoL or goodQoL subgroups). A receiver-operating characteristic (ROC) curve was performed with poorQoL (case) versus goodQoL (control) to determine the cutoff score in VES-13 and WHOQOL-bref. A diagnostic test using these cutoffs was carried out in all older individuals (n = 466). RESULTS: The VES-13 and WHOQOL-bref cutoff points to detect poorQoL were ≥ 2 and < 60, respectively. The area under ROC curve of VES-13 and WHOQOL-bref was 0.741 (CI95% 0.659-0.823; p < 0.001) and 0.934 (CI95% 0.881-0.987; p < 0.001), respectively. In diagnostic tests, VES-13 showed 84% sensitivity and 98.2% negative predictive value, and WHOQOL-bref, 88% sensitivity and 99% negative predictive value. CONCLUSIONS: VES-13 score ≥ 2 and WHOQOL-bref score < 60 adequately detected poorQoL in patients treated in primary health care. Our data suggest that older individuals with these scores require special treatment such as geriatrics collaborative care to improve this scenario, considering QoL impact on mortality.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
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=S0034-89102019000100222
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102019000100222
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.11606/s1518-8787.2019053000802
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 Faculdade de Saúde Pública da Universidade de São Paulo
publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
dc.source.none.fl_str_mv Revista de Saúde Pública v.53 2019
reponame:Revista de Saúde Pública
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Revista de Saúde Pública
collection Revista de Saúde Pública
repository.name.fl_str_mv Revista de Saúde Pública - Universidade de São Paulo (USP)
repository.mail.fl_str_mv revsp@org.usp.br||revsp1@usp.br
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