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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/95544
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T09:45:15Zoai: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:34982025-09-29 09:45:15.81CONICET 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_ |
1844613421416316928 |
score |
13.070432 |