Literature DB >> 19570118

Drug titration patterns and HbA 1c levels in type 2 diabetes.

J Ross Maclean1, R H Chapman, C P Ferrufino, G Krishnarajah.   

Abstract

OBJECTIVE: To evaluate oral antidiabetes drug (OAD) use, haemoglobin A(1c) (HbA(1c)) testing and glycaemic control in type 2 diabetes patients. STUDY
DESIGN: Retrospective analysis based on claims data from the Integrated Healthcare Information Services (IHCIS) National Managed Care Benchmark Database.
METHODS: OAD use and HbA(1c) testing were analysed for patients with >or= 2 claims indicating diagnosis of type 2 diabetes and >or= 1 90-day OAD treatment period between 1 January, 2000 and 30 June, 2006. Likelihood of HbA(1c) testing was examined using multivariable logistic regression analyses, adjusting for OAD regimen and patients' sociodemographical characteristics.
RESULTS: Patients were classified based on initial OAD regimen: metformin (MET) (n = 22,203; 41.3%), sulphonylurea (SFU) (n = 18,439; 34.3%), thiazolidinedione (TZD) (n = 7663; 14.3%), SFU + MET (n = 5467; 10.2%) and TZD + MET (n = 2355; 4.2%). A total of 51.5% of patients had HbA(1c) testing during 90 days preceding OAD initiation through regimen completion. Approximately, 65% of MET and 58% of SFU patients had no titration of initial regimen. Patients demonstrating inadequate glucose control decreased from 68.5% at baseline to 46.9% within 90 days of regimen initiation. Multivariable logistic regression indicated several negative predictors of HbA(1c) testing, including SFU use, age 65+ years, moderate insurance copayment and preindex inpatient utilisation. Multivariable logistic regression of variables associated with reduced likelihood of up-titration included TZD, SFU + MET, or TZD + MET treatment, age 18-34 years, Medicare insurance and any preindex healthcare utilisation.
CONCLUSIONS: Patients are not being transitioned to additional OADs in a stepwise fashion and/or are receiving inadequate titration on current OAD regimens. The low rate of HbA(1c) testing and rates of control are contributing factors.

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Year:  2009        PMID: 19570118      PMCID: PMC2984545          DOI: 10.1111/j.1742-1241.2009.02094.x

Source DB:  PubMed          Journal:  Int J Clin Pract        ISSN: 1368-5031            Impact factor:   2.503


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