Literature DB >> 21342243

ROSES: role of self-monitoring of blood glucose and intensive education in patients with Type 2 diabetes not receiving insulin. A pilot randomized clinical trial.

M Franciosi1, G Lucisano, F Pellegrini, A Cantarello, A Consoli, L Cucco, R Ghidelli, G Sartore, L Sciangula, A Nicolucci.   

Abstract

AIMS: To estimate the efficacy of a self-monitoring-based disease management strategy in patients with Type 2 diabetes treated with oral agent monotherapy.
METHODS: This was an open-label, randomized, pilot study, primarily led by diabetes nurses. Patients were randomly allocated to either a self-monitoring-based disease management strategy or usual care (ratio 3:1) and followed up for 6 months. Education was centred on how to modify lifestyle according self-monitoring readings. Self-monitoring of blood glucose results were discussed during monthly telephone contact. The primary endpoint was mean change in HbA(1c) levels, estimated with an ANOVA for repeated measures. All analyses were intention to treat.
RESULTS: Three diabetic clinics recruited 62 patients, of whom five were lost to follow-up. At baseline, both groups had a mean HbA(1c) value of 7.9% ± 0.6% (63 ± 6 mmol/mol). After 6 months, mean HbA(1c) reduction was 1.2 ± 0.1% (-13 ± 1 mmol/mol) in the intervention group and 0.7 ± 0.2 (-8 ± 2 mmol/mol) in the control group, with an absolute mean difference between groups of -0.5% (95% CI -0.9 to -0.0%; P = 0.04) (-5 mmol/mol, 95% CI -10 to 0). At study end, 61.9% of patients in the intervention group and 20.0% in the control group reached the target level of HbA(1c) < 7.0% (< 53 mmol/mol) (P = 0.005). Body weight reduction was significantly greater in the intervention group than in the control group (between-group absolute mean difference: -3.99 kg; 95% CI -7.26 to -0.73; P = 0.02). Therapy changes were more frequent in the control group.
CONCLUSIONS: A self-monitoring disease management strategy, primarily led by diabetes nurses and allowing a timely and efficient use of self-monitoring readings, is able to improve metabolic control, primarily through lifestyle modifications leading to weight loss.
© 2011 The Authors. Diabetic Medicine © 2011 Diabetes UK.

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Year:  2011        PMID: 21342243     DOI: 10.1111/j.1464-5491.2011.03268.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  49 in total

1.  Association between sitagliptin adherence and self-monitoring of blood glucose.

Authors:  Somesh Nigam; Naunihal S Virdi; Mehmet Daskiran; Chris M Kozma; Andrew Paris; William M Dickson
Journal:  J Diabetes Sci Technol       Date:  2012-05-01

Review 2.  Assessing the analytical performance of systems for self-monitoring of blood glucose: concepts of performance evaluation and definition of metrological key terms.

Authors:  Oliver Schnell; Rolf Hinzmann; Bernd Kulzer; Guido Freckmann; Michael Erbach; Volker Lodwig; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

3.  6(th) Annual Symposium on Self-Monitoring of Blood Glucose (SMBG) applications and beyond, April 25-27, 2013, Riga, Latvia.

Authors:  Aus Alzaid; Christof Schlaeger; Rolf Hinzmann
Journal:  Diabetes Technol Ther       Date:  2013-09-28       Impact factor: 6.118

4.  Accuracy and User Performance Evaluation of a New, Wireless-enabled Blood Glucose Monitoring System That Links to a Smart Mobile Device.

Authors:  Timothy S Bailey; Jane F Wallace; Scott Pardo; Mary Ellen Warchal-Windham; Bern Harrison; Robert Morin; Mark Christiansen
Journal:  J Diabetes Sci Technol       Date:  2017-02-01

5.  Association of self-monitoring of blood glucose use on glycated hemoglobin and weight in newly diagnosed, insulin-naïve adult patients with type 2 diabetes.

Authors:  Naunihal S Virdi; Patrick Lefebvre; Hélène Parisé; Mei Sheng Duh; Dominic Pilon; François Laliberté; Devi Sundaresan; Lawrence Garber; Riad Dirani
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

6.  A new test strip technology platform for self-monitoring of blood glucose.

Authors:  Robert Bernstein; Joan Lee Parkes; Amy Goldy; Daniel Brown; Bern Harrison; Amy Chu; Brian K Pflug; David A Simmons; Scott Pardo; Timothy S Bailey
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

7.  Improving the effectiveness of self-monitoring of blood glucose in type 2 diabetes.

Authors:  Tim A Holt
Journal:  Br J Gen Pract       Date:  2015-04       Impact factor: 5.386

8.  Accuracy Beyond ISO: Introducing a New Method for Distinguishing Differences Between Blood Glucose Monitoring Systems Meeting ISO 15197:2013 Accuracy Requirements.

Authors:  Scott Pardo; Rimma M Shaginian; David A Simmons
Journal:  J Diabetes Sci Technol       Date:  2018-03-15

9.  Use of an Integrated Tool for Interpretation of Blood Glucose Data Improves Correctness of Glycemic Risk Assessment in Individuals With Type 1 and Type 2 Diabetes.

Authors:  Christopher G Parkin; Stephanie Schwenke; Anna Katharina Ossege; Torsten Gruchmann
Journal:  J Diabetes Sci Technol       Date:  2016-09-25

10.  Effects of diabetes self-management programs on time-to-hospitalization among patients with type 2 diabetes: a survival analysis model.

Authors:  Omolola E Adepoju; Jane N Bolin; Charles D Phillips; Hongwei Zhao; Robert L Ohsfeldt; Darcy K McMaughan; Janet W Helduser; Samuel N Forjuoh
Journal:  Patient Educ Couns       Date:  2014-01-13
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