BACKGROUND: We evaluated the association between self-monitoring of blood glucose (SMBG) use and sitagliptin or sitagliptin/metformin (SSMT) adherence. SSMT was chosen as these medications have little risk of hypoglycemia and are believed to not require SMBG data for titration. METHODS: This was an observational study using data extracted from a large United States insurance claims database (i3 InVision™ Data Mart, Ingenix, Inc.). Data were extracted on noninsulin-using patients initiating SSMT for each 12-month period pre- and post-SSMT initiation. Logistic regression was used to assess the relationship between SMBG use and the likelihood of being medication adherent (defined as a medication possession ratio of ≥75%) while controlling for covariates. RESULTS: This analysis included 7,306 patients (57.6% male; mean age 54.2 years). Mean pre-SSMT hemoglobin A1c (HbA1c) was 8.0%. In the post-SSMT initiation period, 58% of patients were adherent with SSMT. Older age, male gender, prior use of oral diabetes medication, and lower HbA1c were associated with improved SSMT adherence. SMBG use was associated with improved adherence [odds ratio (OR) ranged from 1.198 to 1.338; p < .05] compared with patients with no SMBG use pre- or post-SSMT initiation. For patients who began SMBG after starting SSMT, greater SMBG use was associated with better adherence (OR 1.449 for higher vs 1.246 for lower strip use; p < .05). CONCLUSIONS: This study demonstrated that SMBG is associated with improved SSMT adherence. This relationship is strengthened with greater SMBG use.
BACKGROUND: We evaluated the association between self-monitoring of blood glucose (SMBG) use and sitagliptin or sitagliptin/metformin (SSMT) adherence. SSMT was chosen as these medications have little risk of hypoglycemia and are believed to not require SMBG data for titration. METHODS: This was an observational study using data extracted from a large United States insurance claims database (i3 InVision™ Data Mart, Ingenix, Inc.). Data were extracted on noninsulin-using patients initiating SSMT for each 12-month period pre- and post-SSMT initiation. Logistic regression was used to assess the relationship between SMBG use and the likelihood of being medication adherent (defined as a medication possession ratio of ≥75%) while controlling for covariates. RESULTS: This analysis included 7,306 patients (57.6% male; mean age 54.2 years). Mean pre-SSMT hemoglobin A1c (HbA1c) was 8.0%. In the post-SSMT initiation period, 58% of patients were adherent with SSMT. Older age, male gender, prior use of oral diabetes medication, and lower HbA1c were associated with improved SSMT adherence. SMBG use was associated with improved adherence [odds ratio (OR) ranged from 1.198 to 1.338; p < .05] compared with patients with no SMBG use pre- or post-SSMT initiation. For patients who began SMBG after starting SSMT, greater SMBG use was associated with better adherence (OR 1.449 for higher vs 1.246 for lower strip use; p < .05). CONCLUSIONS: This study demonstrated that SMBG is associated with improved SSMT adherence. This relationship is strengthened with greater SMBG use.
Authors: N Kleefstra; J Hortensius; S J J Logtenberg; R J Slingerland; K H Groenier; S T Houweling; R O B Gans; E van Ballegooie; H J G Bilo Journal: Neth J Med Date: 2010-08 Impact factor: 1.422
Authors: Y Ohkubo; H Kishikawa; E Araki; T Miyata; S Isami; S Motoyoshi; Y Kojima; N Furuyoshi; M Shichiri Journal: Diabetes Res Clin Pract Date: 1995-05 Impact factor: 5.602
Authors: Nancy R Kressin; Fei Wang; Judith Long; Barbara G Bokhour; Michelle B Orner; James Rothendler; Christine Clark; Surekha Reddy; Waldemar Kozak; Laura P Kroupa; Dan R Berlowitz Journal: J Gen Intern Med Date: 2007-03-16 Impact factor: 5.128
Authors: Sebastian Schneeweiss; Amanda R Patrick; Malcolm Maclure; Colin R Dormuth; Robert J Glynn Journal: Circulation Date: 2007-04-09 Impact factor: 29.690
Authors: A J Farmer; A N Wade; D P French; J Simon; P Yudkin; A Gray; A Craven; L Goyder; R R Holman; D Mant; A-L Kinmonth; H A W Neil Journal: Health Technol Assess Date: 2009-02 Impact factor: 4.014