dc.creator | Santero, Marilina | |
dc.creator | Morelli, Daniela | |
dc.creator | Nejamis, Analia | |
dc.creator | Gibbons, Luz | |
dc.creator | Irazola, Vilma | |
dc.creator | Beratarrechea, Andrea Gabriela | |
dc.date.accessioned | 2020-01-31T20:24:51Z | |
dc.date.accessioned | 2022-10-14T22:04:39Z | |
dc.date.available | 2020-01-31T20:24:51Z | |
dc.date.available | 2022-10-14T22:04:39Z | |
dc.date.created | 2020-01-31T20:24:51Z | |
dc.date.issued | 2018-12 | |
dc.identifier | 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 | |
dc.identifier | 1878-0210 | |
dc.identifier | http://hdl.handle.net/11336/96435 | |
dc.identifier | CONICET Digital | |
dc.identifier | CONICET | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/4311867 | |
dc.description.abstract | 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. | |
dc.language | eng | |
dc.publisher | Elsevier | |
dc.relation | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.pcd.2018.07.014 | |
dc.relation | info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1751991818302432 | |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.subject | CARE MANAGEMENT | |
dc.subject | DIABETES | |
dc.subject | MHEALTH | |
dc.subject | PRIMARY CARE | |
dc.subject | SOUTH AMERICA | |
dc.title | Using mHealth strategies in a Diabetes Management Program to improve the quality of care in Argentina: Study design and baseline data | |
dc.type | info:eu-repo/semantics/article | |
dc.type | info:ar-repo/semantics/artículo | |
dc.type | info:eu-repo/semantics/publishedVersion | |