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AUTHOR(S): David F. Muñoz, Olivo O. Zanela
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KEYWORDS Type 2 diabetes, economic evaluation, stochastic simulation, self-monitoring, blood glucose |
ABSTRACT The main purpose of this article is to report the development and application of a simulation model that was used to estimate the effects on the level of glycosylated hemoglobin (HbA1c) and the cumulative costs of four different regimes of self-monitoring of blood glucose (SMBG) plus pharmacologic treatment experienced by patients with type 2 diabetes (T2D) in a typical Mexican public health institution (MPHI). The simulation model was designed to imitate the individual experience of a patient with T2D at a MPHI; the main drivers for cost computation were HbA1c evolution and its effect on the incidence and treatment (or not) of comorbidities, complications and acute events associated with T2D. Simulation runs using this model show that the expected average cumulative cost for a patient with T2D and no SMBG is $60,443 US dollars over a 10-year span, and the use of SMBG will reduce this expected cost in 6.5%, 7.5% and 7.8% for 1, 2 and 3 times daily regimes of SMBG, respectively. |
Cite this paper David F. Muñoz, Olivo O. Zanela. (2017) Economic Evaluation of Self-Monitoring of Blood Glucose as a Key Component for Type 2 Diabetes Treatment in Mexico Using Stochastic Simulation. International Journal of Medical Pharmacology, 2, 7-14 |
