Comparison of clinical-metabolic monitoring and outcomes and coronary risk status in people with type 2 diabetes from Australia, France and Latin America

Autores
Gagliardino, Juan Jose; Kleinebreil, Line; Colagiuri, Stephen; Flack, Jeff; Caporale, Joaquín E.; Siri, Fernando; Clark Jr., Charles
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Aim: To compare clinical-metabolic monitoring and coronary risk status in people with type 2 diabetes from Australia, France and Latin America. Methods: Retrospective analysis of data collected at primary care (4540 participants from each population) matched for age, gender and disease duration. Measurements included participants' characteristics, performance frequency of clinical-metabolic process indicators, and percentage of clinical-metabolic outcomes at recommended target values. Results: The weighted mean of the percentage of process performance was within 68 to 81%; that of outcomes at target dropped to 29 to 45%. Although statistically significant, differences among groups were far from those in healthcare budgets, and probably only of marginal clinical impact. The percentage of patients with low, slight or high coronary risk was similar in the three groups, with most people at high or very high risk. Conclusions: Despite the high difference in health per capita investment and system characteristics among countries, the study populations had striking similarities regarding the low percentage of participants who achieved cardiovascular risk factor and diabetes treatment goals. Therefore, differences in health budget and system characteristics would not be the main drivers in care quality. Diabetes education at every level and quality care registries would contribute to improve this situation and assess such improvement.
Fil: Gagliardino, Juan Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Endocrinología Experimental y Aplicada (i); Argentina
Fil: Kleinebreil, Line. Hopital Europeen Georges Pompidou; Francia
Fil: Colagiuri, Stephen. Prince Of Wales Hospital; Australia
Fil: Flack, Jeff. Prince Of Wales Hospital; Australia
Fil: Caporale, Joaquín E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Endocrinología Experimental y Aplicada (i); Argentina
Fil: Siri, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Endocrinología Experimental y Aplicada (i); Argentina
Fil: Clark Jr., Charles. Indiana University School of Medicine; Estados Unidos
Materia
ACCESS AND EVALUATION
DIABETES MELLITUS
HEALTH CARE QUALITY
MONITORING
RISK ASSESSMENT
RISK FACTORS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/95544
Acceder
id CONICETDig_d5c7532e6084794bba0224a5bf1fc492
oai_identifier_str oai:ri.conicet.gov.ar:11336/95544
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Comparison of clinical-metabolic monitoring and outcomes and coronary risk status in people with type 2 diabetes from Australia, France and Latin AmericaGagliardino, Juan JoseKleinebreil, LineColagiuri, StephenFlack, JeffCaporale, Joaquín E.Siri, FernandoClark Jr., CharlesACCESS AND EVALUATIONDIABETES MELLITUSHEALTH CARE QUALITYMONITORINGRISK ASSESSMENTRISK FACTORShttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Aim: To compare clinical-metabolic monitoring and coronary risk status in people with type 2 diabetes from Australia, France and Latin America. Methods: Retrospective analysis of data collected at primary care (4540 participants from each population) matched for age, gender and disease duration. Measurements included participants' characteristics, performance frequency of clinical-metabolic process indicators, and percentage of clinical-metabolic outcomes at recommended target values. Results: The weighted mean of the percentage of process performance was within 68 to 81%; that of outcomes at target dropped to 29 to 45%. Although statistically significant, differences among groups were far from those in healthcare budgets, and probably only of marginal clinical impact. The percentage of patients with low, slight or high coronary risk was similar in the three groups, with most people at high or very high risk. Conclusions: Despite the high difference in health per capita investment and system characteristics among countries, the study populations had striking similarities regarding the low percentage of participants who achieved cardiovascular risk factor and diabetes treatment goals. Therefore, differences in health budget and system characteristics would not be the main drivers in care quality. Diabetes education at every level and quality care registries would contribute to improve this situation and assess such improvement.Fil: Gagliardino, Juan Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Endocrinología Experimental y Aplicada (i); ArgentinaFil: Kleinebreil, Line. Hopital Europeen Georges Pompidou; FranciaFil: Colagiuri, Stephen. Prince Of Wales Hospital; AustraliaFil: Flack, Jeff. Prince Of Wales Hospital; AustraliaFil: Caporale, Joaquín E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Endocrinología Experimental y Aplicada (i); ArgentinaFil: Siri, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Endocrinología Experimental y Aplicada (i); ArgentinaFil: Clark Jr., Charles. Indiana University School of Medicine; Estados UnidosElsevier Ireland2010-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/95544Gagliardino, Juan Jose; Kleinebreil, Line; Colagiuri, Stephen; Flack, Jeff; Caporale, Joaquín E.; et al.; Comparison of clinical-metabolic monitoring and outcomes and coronary risk status in people with type 2 diabetes from Australia, France and Latin America; Elsevier Ireland; Diabetes Research and Clinical Practice; 88; 1; 4-2010; 7-130168-8227CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S016882270900549Xinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.diabres.2009.12.024info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:38:53Zoai:ri.conicet.gov.ar:11336/95544instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:38:53.781CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Comparison of clinical-metabolic monitoring and outcomes and coronary risk status in people with type 2 diabetes from Australia, France and Latin America
title Comparison of clinical-metabolic monitoring and outcomes and coronary risk status in people with type 2 diabetes from Australia, France and Latin America
spellingShingle Comparison of clinical-metabolic monitoring and outcomes and coronary risk status in people with type 2 diabetes from Australia, France and Latin America
Gagliardino, Juan Jose
ACCESS AND EVALUATION
DIABETES MELLITUS
HEALTH CARE QUALITY
MONITORING
RISK ASSESSMENT
RISK FACTORS
title_short Comparison of clinical-metabolic monitoring and outcomes and coronary risk status in people with type 2 diabetes from Australia, France and Latin America
title_full Comparison of clinical-metabolic monitoring and outcomes and coronary risk status in people with type 2 diabetes from Australia, France and Latin America
title_fullStr Comparison of clinical-metabolic monitoring and outcomes and coronary risk status in people with type 2 diabetes from Australia, France and Latin America
title_full_unstemmed Comparison of clinical-metabolic monitoring and outcomes and coronary risk status in people with type 2 diabetes from Australia, France and Latin America
title_sort Comparison of clinical-metabolic monitoring and outcomes and coronary risk status in people with type 2 diabetes from Australia, France and Latin America
dc.creator.none.fl_str_mv Gagliardino, Juan Jose
Kleinebreil, Line
Colagiuri, Stephen
Flack, Jeff
Caporale, Joaquín E.
Siri, Fernando
Clark Jr., Charles
author Gagliardino, Juan Jose
author_facet Gagliardino, Juan Jose
Kleinebreil, Line
Colagiuri, Stephen
Flack, Jeff
Caporale, Joaquín E.
Siri, Fernando
Clark Jr., Charles
author_role author
author2 Kleinebreil, Line
Colagiuri, Stephen
Flack, Jeff
Caporale, Joaquín E.
Siri, Fernando
Clark Jr., Charles
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv ACCESS AND EVALUATION
DIABETES MELLITUS
HEALTH CARE QUALITY
MONITORING
RISK ASSESSMENT
RISK FACTORS
topic ACCESS AND EVALUATION
DIABETES MELLITUS
HEALTH CARE QUALITY
MONITORING
RISK ASSESSMENT
RISK FACTORS
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Aim: To compare clinical-metabolic monitoring and coronary risk status in people with type 2 diabetes from Australia, France and Latin America. Methods: Retrospective analysis of data collected at primary care (4540 participants from each population) matched for age, gender and disease duration. Measurements included participants' characteristics, performance frequency of clinical-metabolic process indicators, and percentage of clinical-metabolic outcomes at recommended target values. Results: The weighted mean of the percentage of process performance was within 68 to 81%; that of outcomes at target dropped to 29 to 45%. Although statistically significant, differences among groups were far from those in healthcare budgets, and probably only of marginal clinical impact. The percentage of patients with low, slight or high coronary risk was similar in the three groups, with most people at high or very high risk. Conclusions: Despite the high difference in health per capita investment and system characteristics among countries, the study populations had striking similarities regarding the low percentage of participants who achieved cardiovascular risk factor and diabetes treatment goals. Therefore, differences in health budget and system characteristics would not be the main drivers in care quality. Diabetes education at every level and quality care registries would contribute to improve this situation and assess such improvement.
Fil: Gagliardino, Juan Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Endocrinología Experimental y Aplicada (i); Argentina
Fil: Kleinebreil, Line. Hopital Europeen Georges Pompidou; Francia
Fil: Colagiuri, Stephen. Prince Of Wales Hospital; Australia
Fil: Flack, Jeff. Prince Of Wales Hospital; Australia
Fil: Caporale, Joaquín E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Endocrinología Experimental y Aplicada (i); Argentina
Fil: Siri, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Endocrinología Experimental y Aplicada (i); Argentina
Fil: Clark Jr., Charles. Indiana University School of Medicine; Estados Unidos
description Aim: To compare clinical-metabolic monitoring and coronary risk status in people with type 2 diabetes from Australia, France and Latin America. Methods: Retrospective analysis of data collected at primary care (4540 participants from each population) matched for age, gender and disease duration. Measurements included participants' characteristics, performance frequency of clinical-metabolic process indicators, and percentage of clinical-metabolic outcomes at recommended target values. Results: The weighted mean of the percentage of process performance was within 68 to 81%; that of outcomes at target dropped to 29 to 45%. Although statistically significant, differences among groups were far from those in healthcare budgets, and probably only of marginal clinical impact. The percentage of patients with low, slight or high coronary risk was similar in the three groups, with most people at high or very high risk. Conclusions: Despite the high difference in health per capita investment and system characteristics among countries, the study populations had striking similarities regarding the low percentage of participants who achieved cardiovascular risk factor and diabetes treatment goals. Therefore, differences in health budget and system characteristics would not be the main drivers in care quality. Diabetes education at every level and quality care registries would contribute to improve this situation and assess such improvement.
publishDate 2010
dc.date.none.fl_str_mv 2010-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/95544
Gagliardino, Juan Jose; Kleinebreil, Line; Colagiuri, Stephen; Flack, Jeff; Caporale, Joaquín E.; et al.; Comparison of clinical-metabolic monitoring and outcomes and coronary risk status in people with type 2 diabetes from Australia, France and Latin America; Elsevier Ireland; Diabetes Research and Clinical Practice; 88; 1; 4-2010; 7-13
0168-8227
CONICET Digital
CONICET
url http://hdl.handle.net/11336/95544
identifier_str_mv Gagliardino, Juan Jose; Kleinebreil, Line; Colagiuri, Stephen; Flack, Jeff; Caporale, Joaquín E.; et al.; Comparison of clinical-metabolic monitoring and outcomes and coronary risk status in people with type 2 diabetes from Australia, France and Latin America; Elsevier Ireland; Diabetes Research and Clinical Practice; 88; 1; 4-2010; 7-13
0168-8227
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S016882270900549X
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.diabres.2009.12.024
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Ireland
publisher.none.fl_str_mv Elsevier Ireland
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846082870484926464
score 13.22299

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