Ranking of populations in broad classes of health levels according to a comprehensive indicador defined by a linear discriminant function

Detalhes bibliográficos
Autor(a) principal: Novo, Neil Ferreira
Data de Publicação: 1985
Outros Autores: Juliano, Yára, Paiva, Elias Rodrigues de, Leser, Walter
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista de Saúde Pública
Texto Completo: https://www.revistas.usp.br/rsp/article/view/23304
Resumo: There are, very often, considerable discrepancies when countries are ranked according to the values of each of the common health indicators. By the use of computed linear discriminant functions the authors developed a single indicator designed to convey the information gathered from the following health indicators: life expectancy at birth (LE), birth rate (BR), infant mortality rate (IMR), quantified indicator of Guedes (GI), general mortality rate (GMR) and mortality rate (MR) by infective and parasitic diseases (MRIPD), the last two age adjusted. For the construction of this adjustment a median standard population was suggested and used, each age group contributed with the average of the percentages of participation of the group in the composition of the population of each one of the 44 countries studied. These were those for which it was possible to get reliable data for the years around 1980. The contrasted groups in computing discriminant functions, each one consisting of 12 countries, were defined according to a criterion based on the rank of the sum of the normal reduced deviations calculated for the distributions of the values for each indicator. For the computation of discriminant function equations by the stepwise technique, reciprocal transformation was used for the four indicators expressed as ratios and for the other two their face values were used. Critical analysis of results as shown that the formula: Z = 2895/IMR + 2060/BR + 1000/MRIPD, can be used as a comprehensve indicator allowing the ranking of countries in broad classes of health levels, as follows: A - 737 or more; Denmark and Sweden; B - 637 |- 737: Australia, Netherland, England and Wales, Iceland, Luxembourg, Norway and Switzerland; C - 537 |- 637: Federal Republic of Germany, Canada, Scotland, Finland and Japan; D - 437 |- 537: Austria, Belgium, United States, France, Northern Ireland, Italy and New Zealand; E - 337 |- 437: Bulgaria, Spain, Greece, Hong Kong, Hungary, Ireland, Israel and Singapore; F - 237 |- 337: Barbados, Costa Rica, Yugoslavia, Poland, Portugal and Romania; G - 137 |- 237: Chile, Guyana, Mauritius, Panama, Trinidad and Tobago and Uruguay; H - < 137: Egygt, Guatemala and Mexico.
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spelling Ranking of populations in broad classes of health levels according to a comprehensive indicador defined by a linear discriminant function Ordenação de populações em amplas classes de nível de saúde, segundo um indicador abrangente definido por uma função discriminante linear Indicador de nível de saúdeFunção discriminante linearPopulação padrão medianaHealth status indicatorsComprehensive health indicatorLinear discriminant functionMedian standard population There are, very often, considerable discrepancies when countries are ranked according to the values of each of the common health indicators. By the use of computed linear discriminant functions the authors developed a single indicator designed to convey the information gathered from the following health indicators: life expectancy at birth (LE), birth rate (BR), infant mortality rate (IMR), quantified indicator of Guedes (GI), general mortality rate (GMR) and mortality rate (MR) by infective and parasitic diseases (MRIPD), the last two age adjusted. For the construction of this adjustment a median standard population was suggested and used, each age group contributed with the average of the percentages of participation of the group in the composition of the population of each one of the 44 countries studied. These were those for which it was possible to get reliable data for the years around 1980. The contrasted groups in computing discriminant functions, each one consisting of 12 countries, were defined according to a criterion based on the rank of the sum of the normal reduced deviations calculated for the distributions of the values for each indicator. For the computation of discriminant function equations by the stepwise technique, reciprocal transformation was used for the four indicators expressed as ratios and for the other two their face values were used. Critical analysis of results as shown that the formula: Z = 2895/IMR + 2060/BR + 1000/MRIPD, can be used as a comprehensve indicator allowing the ranking of countries in broad classes of health levels, as follows: A - 737 or more; Denmark and Sweden; B - 637 |- 737: Australia, Netherland, England and Wales, Iceland, Luxembourg, Norway and Switzerland; C - 537 |- 637: Federal Republic of Germany, Canada, Scotland, Finland and Japan; D - 437 |- 537: Austria, Belgium, United States, France, Northern Ireland, Italy and New Zealand; E - 337 |- 437: Bulgaria, Spain, Greece, Hong Kong, Hungary, Ireland, Israel and Singapore; F - 237 |- 337: Barbados, Costa Rica, Yugoslavia, Poland, Portugal and Romania; G - 137 |- 237: Chile, Guyana, Mauritius, Panama, Trinidad and Tobago and Uruguay; H - < 137: Egygt, Guatemala and Mexico. Utilizando a função discriminante linear, propõe-se um indicador de nível de saúde abrangente de vários indicadores usuais, a saber: o coeficiente de mortalidade geral (CMG), indicador quantificado de Guedes (IG), esperança de vida ao nascer (EV), coeficiente de natalidade (CN), coeficiente de mortalidade infantil (CMI) e coeficiente de mortalidade por doenças transmissíveis (CMDT). Para a padronização dos dois últimos, foi proposta e utilizada uma população padrão mediana; para sua formação, cada grupo etário concorre com a mediana das percentagens de participação desse grupo na composição da população de cada um dos 44 países estudados. A análise crítica das equações de funções discriminantes obtidas com a técnica passo a 2895 2060 1000 passo ascendente (stepwise), mostrou que o valor: Z = 2895/CMI + 2060/CN + 1000/CMDTp, pode ser utilizado como indicador abrangente, permitindo a ordenação de países em amplas classes de nível de saúde. Universidade de São Paulo. Faculdade de Saúde Pública1985-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/rsp/article/view/2330410.1590/S0034-89101985000400007Revista de Saúde Pública; Vol. 19 No. 4 (1985); 344-363 Revista de Saúde Pública; Vol. 19 Núm. 4 (1985); 344-363 Revista de Saúde Pública; v. 19 n. 4 (1985); 344-363 1518-87870034-8910reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USPporhttps://www.revistas.usp.br/rsp/article/view/23304/25332Copyright (c) 2017 Revista de Saúde Públicainfo:eu-repo/semantics/openAccessNovo, Neil FerreiraJuliano, YáraPaiva, Elias Rodrigues deLeser, Walter2012-05-28T16:11:29Zoai:revistas.usp.br:article/23304Revistahttps://www.revistas.usp.br/rsp/indexONGhttps://www.revistas.usp.br/rsp/oairevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2012-05-28T16:11:29Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Ranking of populations in broad classes of health levels according to a comprehensive indicador defined by a linear discriminant function
Ordenação de populações em amplas classes de nível de saúde, segundo um indicador abrangente definido por uma função discriminante linear
title Ranking of populations in broad classes of health levels according to a comprehensive indicador defined by a linear discriminant function
spellingShingle Ranking of populations in broad classes of health levels according to a comprehensive indicador defined by a linear discriminant function
Novo, Neil Ferreira
Indicador de nível de saúde
Função discriminante linear
População padrão mediana
Health status indicators
Comprehensive health indicator
Linear discriminant function
Median standard population
title_short Ranking of populations in broad classes of health levels according to a comprehensive indicador defined by a linear discriminant function
title_full Ranking of populations in broad classes of health levels according to a comprehensive indicador defined by a linear discriminant function
title_fullStr Ranking of populations in broad classes of health levels according to a comprehensive indicador defined by a linear discriminant function
title_full_unstemmed Ranking of populations in broad classes of health levels according to a comprehensive indicador defined by a linear discriminant function
title_sort Ranking of populations in broad classes of health levels according to a comprehensive indicador defined by a linear discriminant function
author Novo, Neil Ferreira
author_facet Novo, Neil Ferreira
Juliano, Yára
Paiva, Elias Rodrigues de
Leser, Walter
author_role author
author2 Juliano, Yára
Paiva, Elias Rodrigues de
Leser, Walter
author2_role author
author
author
dc.contributor.author.fl_str_mv Novo, Neil Ferreira
Juliano, Yára
Paiva, Elias Rodrigues de
Leser, Walter
dc.subject.por.fl_str_mv Indicador de nível de saúde
Função discriminante linear
População padrão mediana
Health status indicators
Comprehensive health indicator
Linear discriminant function
Median standard population
topic Indicador de nível de saúde
Função discriminante linear
População padrão mediana
Health status indicators
Comprehensive health indicator
Linear discriminant function
Median standard population
description There are, very often, considerable discrepancies when countries are ranked according to the values of each of the common health indicators. By the use of computed linear discriminant functions the authors developed a single indicator designed to convey the information gathered from the following health indicators: life expectancy at birth (LE), birth rate (BR), infant mortality rate (IMR), quantified indicator of Guedes (GI), general mortality rate (GMR) and mortality rate (MR) by infective and parasitic diseases (MRIPD), the last two age adjusted. For the construction of this adjustment a median standard population was suggested and used, each age group contributed with the average of the percentages of participation of the group in the composition of the population of each one of the 44 countries studied. These were those for which it was possible to get reliable data for the years around 1980. The contrasted groups in computing discriminant functions, each one consisting of 12 countries, were defined according to a criterion based on the rank of the sum of the normal reduced deviations calculated for the distributions of the values for each indicator. For the computation of discriminant function equations by the stepwise technique, reciprocal transformation was used for the four indicators expressed as ratios and for the other two their face values were used. Critical analysis of results as shown that the formula: Z = 2895/IMR + 2060/BR + 1000/MRIPD, can be used as a comprehensve indicator allowing the ranking of countries in broad classes of health levels, as follows: A - 737 or more; Denmark and Sweden; B - 637 |- 737: Australia, Netherland, England and Wales, Iceland, Luxembourg, Norway and Switzerland; C - 537 |- 637: Federal Republic of Germany, Canada, Scotland, Finland and Japan; D - 437 |- 537: Austria, Belgium, United States, France, Northern Ireland, Italy and New Zealand; E - 337 |- 437: Bulgaria, Spain, Greece, Hong Kong, Hungary, Ireland, Israel and Singapore; F - 237 |- 337: Barbados, Costa Rica, Yugoslavia, Poland, Portugal and Romania; G - 137 |- 237: Chile, Guyana, Mauritius, Panama, Trinidad and Tobago and Uruguay; H - < 137: Egygt, Guatemala and Mexico.
publishDate 1985
dc.date.none.fl_str_mv 1985-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/rsp/article/view/23304
10.1590/S0034-89101985000400007
url https://www.revistas.usp.br/rsp/article/view/23304
identifier_str_mv 10.1590/S0034-89101985000400007
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://www.revistas.usp.br/rsp/article/view/23304/25332
dc.rights.driver.fl_str_mv Copyright (c) 2017 Revista de Saúde Pública
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Revista de Saúde Pública
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Saúde Pública
publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Saúde Pública
dc.source.none.fl_str_mv Revista de Saúde Pública; Vol. 19 No. 4 (1985); 344-363
Revista de Saúde Pública; Vol. 19 Núm. 4 (1985); 344-363
Revista de Saúde Pública; v. 19 n. 4 (1985); 344-363
1518-8787
0034-8910
reponame:Revista de Saúde Pública
instname:Universidade de São Paulo (USP)
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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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