Using mHealth strategies in a Diabetes Management Program to improve the quality of care in Argentina: Study design and baseline data

Autores
Santero, Marilina; Morelli, Daniela; Nejamis, Analia; Gibbons, Luz; Irazola, Vilma; Beratarrechea, Andrea Gabriela
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Aim: To evaluate the one-year post effect of the implementation of a diabetes program that includes mHealth interventions on the quality of diabetic care in public primary care centers. Method: It is a quasi-experimental study with outcome measurements at baseline, 6 and 12 months. The program includes primary care team training, a diabetes registry with a decision support tool in an app. and text messages for patients. Results: At baseline, 947 patients were included in the registry, 62.3% women with a mean age of 53.6 ± 11.5 years and 92% with type 2 diabetes. Common comorbidities were hypertension (61.3%) and obesity (59%). Only 16.9% had one HbA1c and 48.9% a cholesterol lab in the last year, 61.9% were screened for diabetic peripheral neuropathy, and 29.0% had one eye exam in the previous year. With respect to blood sugar, lipid and blood pressure control: 44.4% of those with HbA1c measurements had levels ≥8%, total cholesterol was over 200 mg/dL in 40.6% and 48.2% had uncontrolled blood pressure values. Conclusion: Patients with diabetes received a low quality of care at public primary care clinics. A diabetes registry allowed us to draw an epidemiological profile of diabetic patients and determine the quality of care provided.
Fil: Santero, Marilina. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Morelli, Daniela. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Nejamis, Analia. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Gibbons, Luz. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Irazola, Vilma. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Beratarrechea, Andrea Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina
Materia
CARE MANAGEMENT
DIABETES
MHEALTH
PRIMARY CARE
SOUTH AMERICA
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/96435
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/96435
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Using mHealth strategies in a Diabetes Management Program to improve the quality of care in Argentina: Study design and baseline dataSantero, MarilinaMorelli, DanielaNejamis, AnaliaGibbons, LuzIrazola, VilmaBeratarrechea, Andrea GabrielaCARE MANAGEMENTDIABETESMHEALTHPRIMARY CARESOUTH AMERICAhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Aim: To evaluate the one-year post effect of the implementation of a diabetes program that includes mHealth interventions on the quality of diabetic care in public primary care centers. Method: It is a quasi-experimental study with outcome measurements at baseline, 6 and 12 months. The program includes primary care team training, a diabetes registry with a decision support tool in an app. and text messages for patients. Results: At baseline, 947 patients were included in the registry, 62.3% women with a mean age of 53.6 ± 11.5 years and 92% with type 2 diabetes. Common comorbidities were hypertension (61.3%) and obesity (59%). Only 16.9% had one HbA1c and 48.9% a cholesterol lab in the last year, 61.9% were screened for diabetic peripheral neuropathy, and 29.0% had one eye exam in the previous year. With respect to blood sugar, lipid and blood pressure control: 44.4% of those with HbA1c measurements had levels ≥8%, total cholesterol was over 200 mg/dL in 40.6% and 48.2% had uncontrolled blood pressure values. Conclusion: Patients with diabetes received a low quality of care at public primary care clinics. A diabetes registry allowed us to draw an epidemiological profile of diabetic patients and determine the quality of care provided.Fil: Santero, Marilina. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Morelli, Daniela. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Nejamis, Analia. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Gibbons, Luz. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Irazola, Vilma. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Beratarrechea, Andrea Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Efectividad Clínica y Sanitaria; ArgentinaElsevier2018-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/96435Santero, Marilina; Morelli, Daniela; Nejamis, Analia; Gibbons, Luz; Irazola, Vilma; et al.; Using mHealth strategies in a Diabetes Management Program to improve the quality of care in Argentina: Study design and baseline data; Elsevier; Primary Care Diabetes; 12; 6; 12-2018; 510-5161878-0210CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.pcd.2018.07.014info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1751991818302432info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:01:57Zoai:ri.conicet.gov.ar:11336/96435instacron: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:34982025-10-22 11:01:57.688CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Using mHealth strategies in a Diabetes Management Program to improve the quality of care in Argentina: Study design and baseline data
title Using mHealth strategies in a Diabetes Management Program to improve the quality of care in Argentina: Study design and baseline data
spellingShingle Using mHealth strategies in a Diabetes Management Program to improve the quality of care in Argentina: Study design and baseline data
Santero, Marilina
CARE MANAGEMENT
DIABETES
MHEALTH
PRIMARY CARE
SOUTH AMERICA
title_short Using mHealth strategies in a Diabetes Management Program to improve the quality of care in Argentina: Study design and baseline data
title_full Using mHealth strategies in a Diabetes Management Program to improve the quality of care in Argentina: Study design and baseline data
title_fullStr Using mHealth strategies in a Diabetes Management Program to improve the quality of care in Argentina: Study design and baseline data
title_full_unstemmed Using mHealth strategies in a Diabetes Management Program to improve the quality of care in Argentina: Study design and baseline data
title_sort Using mHealth strategies in a Diabetes Management Program to improve the quality of care in Argentina: Study design and baseline data
dc.creator.none.fl_str_mv Santero, Marilina
Morelli, Daniela
Nejamis, Analia
Gibbons, Luz
Irazola, Vilma
Beratarrechea, Andrea Gabriela
author Santero, Marilina
author_facet Santero, Marilina
Morelli, Daniela
Nejamis, Analia
Gibbons, Luz
Irazola, Vilma
Beratarrechea, Andrea Gabriela
author_role author
author2 Morelli, Daniela
Nejamis, Analia
Gibbons, Luz
Irazola, Vilma
Beratarrechea, Andrea Gabriela
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv CARE MANAGEMENT
DIABETES
MHEALTH
PRIMARY CARE
SOUTH AMERICA
topic CARE MANAGEMENT
DIABETES
MHEALTH
PRIMARY CARE
SOUTH AMERICA
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Aim: To evaluate the one-year post effect of the implementation of a diabetes program that includes mHealth interventions on the quality of diabetic care in public primary care centers. Method: It is a quasi-experimental study with outcome measurements at baseline, 6 and 12 months. The program includes primary care team training, a diabetes registry with a decision support tool in an app. and text messages for patients. Results: At baseline, 947 patients were included in the registry, 62.3% women with a mean age of 53.6 ± 11.5 years and 92% with type 2 diabetes. Common comorbidities were hypertension (61.3%) and obesity (59%). Only 16.9% had one HbA1c and 48.9% a cholesterol lab in the last year, 61.9% were screened for diabetic peripheral neuropathy, and 29.0% had one eye exam in the previous year. With respect to blood sugar, lipid and blood pressure control: 44.4% of those with HbA1c measurements had levels ≥8%, total cholesterol was over 200 mg/dL in 40.6% and 48.2% had uncontrolled blood pressure values. Conclusion: Patients with diabetes received a low quality of care at public primary care clinics. A diabetes registry allowed us to draw an epidemiological profile of diabetic patients and determine the quality of care provided.
Fil: Santero, Marilina. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Morelli, Daniela. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Nejamis, Analia. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Gibbons, Luz. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Irazola, Vilma. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Beratarrechea, Andrea Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina
description Aim: To evaluate the one-year post effect of the implementation of a diabetes program that includes mHealth interventions on the quality of diabetic care in public primary care centers. Method: It is a quasi-experimental study with outcome measurements at baseline, 6 and 12 months. The program includes primary care team training, a diabetes registry with a decision support tool in an app. and text messages for patients. Results: At baseline, 947 patients were included in the registry, 62.3% women with a mean age of 53.6 ± 11.5 years and 92% with type 2 diabetes. Common comorbidities were hypertension (61.3%) and obesity (59%). Only 16.9% had one HbA1c and 48.9% a cholesterol lab in the last year, 61.9% were screened for diabetic peripheral neuropathy, and 29.0% had one eye exam in the previous year. With respect to blood sugar, lipid and blood pressure control: 44.4% of those with HbA1c measurements had levels ≥8%, total cholesterol was over 200 mg/dL in 40.6% and 48.2% had uncontrolled blood pressure values. Conclusion: Patients with diabetes received a low quality of care at public primary care clinics. A diabetes registry allowed us to draw an epidemiological profile of diabetic patients and determine the quality of care provided.
publishDate 2018
dc.date.none.fl_str_mv 2018-12
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/11336/96435
Santero, Marilina; Morelli, Daniela; Nejamis, Analia; Gibbons, Luz; Irazola, Vilma; et al.; Using mHealth strategies in a Diabetes Management Program to improve the quality of care in Argentina: Study design and baseline data; Elsevier; Primary Care Diabetes; 12; 6; 12-2018; 510-516
1878-0210
CONICET Digital
CONICET
url http://hdl.handle.net/11336/96435
identifier_str_mv Santero, Marilina; Morelli, Daniela; Nejamis, Analia; Gibbons, Luz; Irazola, Vilma; et al.; Using mHealth strategies in a Diabetes Management Program to improve the quality of care in Argentina: Study design and baseline data; Elsevier; Primary Care Diabetes; 12; 6; 12-2018; 510-516
1878-0210
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.pcd.2018.07.014
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1751991818302432
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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_ 1846781216140820480
score 12.982451

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