Multimorbilidade e gravidade da doença medida pelo índice de charlson em doentes hospitalizados durante o ano de 2015
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.20344/amp.9728 |
Resumo: | Introduction: The association between multimorbidity and disease severity is not well established. The objectives were to characterise multimorbidity and determine disease severity (trough Charlson), as well as to verify if there is an association between the number and type of disease and the Charlson index. Material and Methods: A cross-sectional study based on exported data from the Portuguese National Health Service hospitalisations database, during the year 2015. The study included 22 chronic health conditions: 15 predicted in the Charlson index and seven frequent conditions (hypertension, obesity, dyslipidaemia, osteoarthritis, osteoporosis, anxiety and depression). The analysis was performed through the generalised linear model, considering binary logistic regression. In the analysis, the IBM SPSS version 24.0 tool was used. Results: The study analysed 800 376 hospitalisations, from which 42% correspond to males. The average age of the sample was 59.8 years, being higher in men (62.3 years). The mean number of problems per person was 1.6, greater in men (1.8). Disease severity was also higher in males. The worst prognosis was associated with six or more conditions per person. The largest predictor of disease severity was the number of problems, followed by dementia and diabetes. Discussion: The results seem to confirm the gender difference regarding morbidity pattern. The number of conditions per person was the greatest predictor of disease severity, particularly the presence of six or more conditions per person. Conclusion: The major limitation was the use of the same medical conditions to measure multimorbidity and disease severity. Other studies and analysis models should explore the complexity of the multimorbidity phenomenon. |
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Multimorbilidade e gravidade da doença medida pelo índice de charlson em doentes hospitalizados durante o ano de 2015Multimorbidity and disease severity measured by the charlson index in portuguese hospitalised patients during the year 2015A cross-sectional studyEstudo transversalComorbidityMultimorbidityPortugalSeverity of illness indexMedicine(all)SDG 3 - Good Health and Well-beingIntroduction: The association between multimorbidity and disease severity is not well established. The objectives were to characterise multimorbidity and determine disease severity (trough Charlson), as well as to verify if there is an association between the number and type of disease and the Charlson index. Material and Methods: A cross-sectional study based on exported data from the Portuguese National Health Service hospitalisations database, during the year 2015. The study included 22 chronic health conditions: 15 predicted in the Charlson index and seven frequent conditions (hypertension, obesity, dyslipidaemia, osteoarthritis, osteoporosis, anxiety and depression). The analysis was performed through the generalised linear model, considering binary logistic regression. In the analysis, the IBM SPSS version 24.0 tool was used. Results: The study analysed 800 376 hospitalisations, from which 42% correspond to males. The average age of the sample was 59.8 years, being higher in men (62.3 years). The mean number of problems per person was 1.6, greater in men (1.8). Disease severity was also higher in males. The worst prognosis was associated with six or more conditions per person. The largest predictor of disease severity was the number of problems, followed by dementia and diabetes. Discussion: The results seem to confirm the gender difference regarding morbidity pattern. The number of conditions per person was the greatest predictor of disease severity, particularly the presence of six or more conditions per person. Conclusion: The major limitation was the use of the same medical conditions to measure multimorbidity and disease severity. Other studies and analysis models should explore the complexity of the multimorbidity phenomenon.Centro de Investigação em Saúde Pública (CISP/PHRC)Escola Nacional de Saúde Pública (ENSP)RUNBroeiro-Gonçalves, PaulaNogueira, PauloAguiar, Pedro2019-04-23T22:18:54Z2019-01-012019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article9application/pdfhttps://doi.org/10.20344/amp.9728por0870-399XPURE: 12897113http://www.scopus.com/inward/record.url?scp=85061500410&partnerID=8YFLogxKhttps://doi.org/10.20344/amp.9728info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:31:55Zoai:run.unl.pt:10362/67501Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:34:37.573925Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Multimorbilidade e gravidade da doença medida pelo índice de charlson em doentes hospitalizados durante o ano de 2015 Multimorbidity and disease severity measured by the charlson index in portuguese hospitalised patients during the year 2015A cross-sectional study Estudo transversal |
title |
Multimorbilidade e gravidade da doença medida pelo índice de charlson em doentes hospitalizados durante o ano de 2015 |
spellingShingle |
Multimorbilidade e gravidade da doença medida pelo índice de charlson em doentes hospitalizados durante o ano de 2015 Broeiro-Gonçalves, Paula Comorbidity Multimorbidity Portugal Severity of illness index Medicine(all) SDG 3 - Good Health and Well-being |
title_short |
Multimorbilidade e gravidade da doença medida pelo índice de charlson em doentes hospitalizados durante o ano de 2015 |
title_full |
Multimorbilidade e gravidade da doença medida pelo índice de charlson em doentes hospitalizados durante o ano de 2015 |
title_fullStr |
Multimorbilidade e gravidade da doença medida pelo índice de charlson em doentes hospitalizados durante o ano de 2015 |
title_full_unstemmed |
Multimorbilidade e gravidade da doença medida pelo índice de charlson em doentes hospitalizados durante o ano de 2015 |
title_sort |
Multimorbilidade e gravidade da doença medida pelo índice de charlson em doentes hospitalizados durante o ano de 2015 |
author |
Broeiro-Gonçalves, Paula |
author_facet |
Broeiro-Gonçalves, Paula Nogueira, Paulo Aguiar, Pedro |
author_role |
author |
author2 |
Nogueira, Paulo Aguiar, Pedro |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Centro de Investigação em Saúde Pública (CISP/PHRC) Escola Nacional de Saúde Pública (ENSP) RUN |
dc.contributor.author.fl_str_mv |
Broeiro-Gonçalves, Paula Nogueira, Paulo Aguiar, Pedro |
dc.subject.por.fl_str_mv |
Comorbidity Multimorbidity Portugal Severity of illness index Medicine(all) SDG 3 - Good Health and Well-being |
topic |
Comorbidity Multimorbidity Portugal Severity of illness index Medicine(all) SDG 3 - Good Health and Well-being |
description |
Introduction: The association between multimorbidity and disease severity is not well established. The objectives were to characterise multimorbidity and determine disease severity (trough Charlson), as well as to verify if there is an association between the number and type of disease and the Charlson index. Material and Methods: A cross-sectional study based on exported data from the Portuguese National Health Service hospitalisations database, during the year 2015. The study included 22 chronic health conditions: 15 predicted in the Charlson index and seven frequent conditions (hypertension, obesity, dyslipidaemia, osteoarthritis, osteoporosis, anxiety and depression). The analysis was performed through the generalised linear model, considering binary logistic regression. In the analysis, the IBM SPSS version 24.0 tool was used. Results: The study analysed 800 376 hospitalisations, from which 42% correspond to males. The average age of the sample was 59.8 years, being higher in men (62.3 years). The mean number of problems per person was 1.6, greater in men (1.8). Disease severity was also higher in males. The worst prognosis was associated with six or more conditions per person. The largest predictor of disease severity was the number of problems, followed by dementia and diabetes. Discussion: The results seem to confirm the gender difference regarding morbidity pattern. The number of conditions per person was the greatest predictor of disease severity, particularly the presence of six or more conditions per person. Conclusion: The major limitation was the use of the same medical conditions to measure multimorbidity and disease severity. Other studies and analysis models should explore the complexity of the multimorbidity phenomenon. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-04-23T22:18:54Z 2019-01-01 2019-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.20344/amp.9728 |
url |
https://doi.org/10.20344/amp.9728 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
0870-399X PURE: 12897113 http://www.scopus.com/inward/record.url?scp=85061500410&partnerID=8YFLogxK https://doi.org/10.20344/amp.9728 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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9 application/pdf |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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