dc.creatorSantero, Marilina
dc.creatorMorelli, Daniela
dc.creatorNejamis, Analia
dc.creatorGibbons, Luz
dc.creatorIrazola, Vilma
dc.creatorBeratarrechea, Andrea Gabriela
dc.date.accessioned2020-01-31T20:24:51Z
dc.date.accessioned2022-10-14T22:04:39Z
dc.date.available2020-01-31T20:24:51Z
dc.date.available2022-10-14T22:04:39Z
dc.date.created2020-01-31T20:24:51Z
dc.date.issued2018-12
dc.identifierSantero, 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
dc.identifier1878-0210
dc.identifierhttp://hdl.handle.net/11336/96435
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4311867
dc.description.abstractAim: 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.
dc.languageeng
dc.publisherElsevier
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.pcd.2018.07.014
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1751991818302432
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectCARE MANAGEMENT
dc.subjectDIABETES
dc.subjectMHEALTH
dc.subjectPRIMARY CARE
dc.subjectSOUTH AMERICA
dc.titleUsing mHealth strategies in a Diabetes Management Program to improve the quality of care in Argentina: Study design and baseline data
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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