Literature DB >> 22775240

The association of self-monitoring of blood glucose use with medication adherence and glycemic control in patients with type 2 diabetes initiating non-insulin treatment.

Naunihal Virdi1, Mehmet Daskiran, Somesh Nigam, Chris Kozma, Praveen Raja.   

Abstract

BACKGROUND: The value of self-monitoring of blood glucose (SMBG) for persons with type 2 diabetes who do not use insulin remains controversial. This observational study compares the likelihood of medication adherence and change in glycated hemoglobin (A1C) for non-insulin-using patients using SMBG versus those not using SMBG. The study also assessed the association between diabetes medication adherence and SMBG use. PATIENTS AND METHODS: Data were extracted on 5,172 patients who began non-insulin diabetes medication between October 1, 2006, and March 31, 2009. The study assessed change in A1C associated with SMBG use and testing frequency at different categorical levels of baseline A1C. The likelihood of medication adherence for SMBG users was compared with that for non-SMBG users at different categorical levels of baseline A1C. The study further explored the interactions between SMBG use and medication adherence on change in A1C.
RESULTS: SMBG users had greater reductions in A1C compared with nonusers when the baseline A1C was ≥ 7%. Increasing SMBG frequency was associated with greater reductions in A1C. The study also examined the associations among SMBG use, medication adherence, and change in A1C. SMBG users had greater decreases in A1C for both medication-adherent and -nonadherent patients. As expected, medication adherence was associated with greater reductions in A1C for both SMBG nonusers and users. It is interesting that medication-nonadherent SMBG users had similar reductions in A1C compared with medication-adherent non-SMBG users.
CONCLUSIONS: Both SMBG use and medication adherence were associated with similar degrees of A1C reduction after controlling for baseline A1C, suggesting that both factors may be important for attaining glycemic control.

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Year:  2012        PMID: 22775240     DOI: 10.1089/dia.2012.0047

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  10 in total

1.  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

Review 2.  Analytical Performance Requirements for Systems for Self-Monitoring of Blood Glucose With Focus on System Accuracy: Relevant Differences Among ISO 15197:2003, ISO 15197:2013, and Current FDA Recommendations.

Authors:  Guido Freckmann; Christina Schmid; Annette Baumstark; Malte Rutschmann; Cornelia Haug; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2015-04-14

3.  A trial of family partnership and education interventions in heart failure.

Authors:  Sandra B Dunbar; Patricia C Clark; Carolyn M Reilly; Rebecca A Gary; Andrew Smith; Frances McCarty; Melinda Higgins; Daurice Grossniklaus; Nadine Kaslow; Jennifer Frediani; Carolyn Dashiff; Richard Ryan
Journal:  J Card Fail       Date:  2013-10-29       Impact factor: 5.712

4.  Role of nucleolar protein NOM1 in pancreatic islet β cell apoptosis in diabetes.

Authors:  Leilei Yu; Huifeng Wang; Zhongxiu Guo; Fenghua Li; Hong Cui
Journal:  Exp Ther Med       Date:  2016-08-04       Impact factor: 2.447

5.  Self-monitoring of blood glucose: use, frequency drivers, and cost in Argentina.

Authors:  Jorge F Elgart; Lorena González; Enzo Rucci; Juan J Gagliardino
Journal:  J Diabetes Sci Technol       Date:  2014-09-10

6.  Assessing System Accuracy of Blood Glucose Monitoring Systems Using Rectangle Target Plots.

Authors:  Peter Müller; Andrew Hattemer; Peter Stephan
Journal:  J Diabetes Sci Technol       Date:  2015-10-09

Review 7.  Incentivizing behaviour change to improve diabetes care.

Authors:  N M Petry; E Cengiz; J A Wagner; K K Hood; L Carria; W V Tamborlane
Journal:  Diabetes Obes Metab       Date:  2013-05-01       Impact factor: 6.577

Review 8.  Adherence to and persistence with antidiabetic medications and associations with clinical and economic outcomes in people with type 2 diabetes mellitus: A systematic literature review.

Authors:  Marc Evans; Susanne Engberg; Mads Faurby; João Diogo Da Rocha Fernandes; Pollyanna Hudson; William Polonsky
Journal:  Diabetes Obes Metab       Date:  2021-12-09       Impact factor: 6.408

9.  Self-monitoring of blood glucose in association with glycemic control in newly diagnosed non-insulin-treated diabetes patients: a retrospective cohort study.

Authors:  Hon-Ke Sia; Chew-Teng Kor; Shih-Te Tu; Pei-Yung Liao; Jiun-Yi Wang
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

10.  Association of Social Support and Medication Adherence in Chinese Patients with Type 2 Diabetes Mellitus.

Authors:  Linni Gu; Shaomin Wu; Shuliang Zhao; Huixuan Zhou; Shengfa Zhang; Min Gao; Zhiyong Qu; Weijun Zhang; Donghua Tian
Journal:  Int J Environ Res Public Health       Date:  2017-12-06       Impact factor: 3.390

  10 in total

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