[Cost-effectiveness analysis of self-monitoring of blood glucose in type 2 diabetics]. 2000

J L Clua Espuny, and J Puig Junoy, and M L Queralt Tomás, and A Palau Galindo
ABS Tortosa Est, Institut Català de la Salut. jlclua@ptortosa.scs.es

OBJECTIVE Compare the cost-effectiveness of self-monitoring of blood glucose (MBG) with your non-use. METHODS Descriptive and retrospective study covering the period 1995-97 in the 597 type-2 diabetes patients: 286 practicing MBG on a stable basis and 311 not doing so. All are registered in seven health districts in the territorial ambit of Tortosa Primary Care. Were quantified the direct costs in relation to consumption of reagent strips for the practice of MBG, outpatients visits in your primary care center, derivations to specialist of reference and complementary test according to recommendations of the European NIDDM Policy Group in the population user of MBG and no-user; the annual cost increment, the average annual cost and the total annual cost in the population user of MBG and in the application of a ideal model of quantitative and qualitative cover according to clinical recommendations of the Gedaps; and the cost-effectiveness. RESULTS While the 78% of the total diabetic population satisfy some clinical indication for prescribing MBG, only the 42.5% practice the MBG. The consumption of reagent strips rising of 8% to 15% of the global cost of the diabetic population. In the application of the ideal model of cover, this cost increase up the 30% of global cost. The effectiveness obtained, an 27%, not are significantly different in the population user of MBG and no user. The cost-effectiveness in the user of MBG increased of 210.789 ptes/year to 213.148 ptes/year; and no-user of 162.019 ptes/year to 162.051 ptes/year. The application of ideal model of cover and the gain of an effectiveness near to possible level of efficiency imply an descent average of cost-effectiveness of approximately 60%: 78.904 ptes/year in user MBG and 54.682 ptes/year in no-user. CONCLUSIONS 1. We choose in the presents conditions the option of no-user MBG. 2. The average cost-effectiveness per diabetic patient will increase by the needs of accommodate the therapy to new standards of metabolic control. 3. Are clear opportunity for the improve the management and to motivate an efficient use of technology associate to defects of public sanitary market. 4. The model of ideal cover associated to greater effectiveness are necessary for to unify the economic and clinic efficiency.

UI MeSH Term Description Entries
D007328 Insulin A 51-amino acid pancreatic hormone that plays a major role in the regulation of glucose metabolism, directly by suppressing endogenous glucose production (GLYCOGENOLYSIS; GLUCONEOGENESIS) and indirectly by suppressing GLUCAGON secretion and LIPOLYSIS. Native insulin is a globular protein comprised of a zinc-coordinated hexamer. Each insulin monomer containing two chains, A (21 residues) and B (30 residues), linked by two disulfide bonds. Insulin is used as a drug to control insulin-dependent diabetes mellitus (DIABETES MELLITUS, TYPE 1). Iletin,Insulin A Chain,Insulin B Chain,Insulin, Regular,Novolin,Sodium Insulin,Soluble Insulin,Chain, Insulin B,Insulin, Sodium,Insulin, Soluble,Regular Insulin
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011934 Reagent Strips Narrow pieces of material impregnated or covered with a substance used to produce a chemical reaction. The strips are used in detecting, measuring, producing, etc., other substances. (From Dorland, 28th ed) Reagent Strip,Strip, Reagent,Strips, Reagent
D003362 Cost-Benefit Analysis A method of comparing the cost of a program with its expected benefits in dollars (or other currency). The benefit-to-cost ratio is a measure of total return expected per unit of money spent. This analysis generally excludes consideration of factors that are not measured ultimately in economic terms. In contrast a cost effectiveness in general compares cost with qualitative outcomes. Cost and Benefit,Cost-Benefit Data,Benefits and Costs,Cost Benefit,Cost Benefit Analysis,Cost-Utility Analysis,Costs and Benefits,Economic Evaluation,Marginal Analysis,Analyses, Cost Benefit,Analysis, Cost Benefit,Analysis, Cost-Benefit,Analysis, Cost-Utility,Analysis, Marginal,Benefit and Cost,Cost Benefit Analyses,Cost Benefit Data,Cost Utility Analysis,Cost-Benefit Analyses,Cost-Utility Analyses,Data, Cost-Benefit,Economic Evaluations,Evaluation, Economic,Marginal Analyses
D003924 Diabetes Mellitus, Type 2 A subclass of DIABETES MELLITUS that is not INSULIN-responsive or dependent (NIDDM). It is characterized initially by INSULIN RESISTANCE and HYPERINSULINEMIA; and eventually by GLUCOSE INTOLERANCE; HYPERGLYCEMIA; and overt diabetes. Type II diabetes mellitus is no longer considered a disease exclusively found in adults. Patients seldom develop KETOSIS but often exhibit OBESITY. Diabetes Mellitus, Adult-Onset,Diabetes Mellitus, Ketosis-Resistant,Diabetes Mellitus, Maturity-Onset,Diabetes Mellitus, Non-Insulin-Dependent,Diabetes Mellitus, Slow-Onset,Diabetes Mellitus, Stable,MODY,Maturity-Onset Diabetes Mellitus,NIDDM,Diabetes Mellitus, Non Insulin Dependent,Diabetes Mellitus, Noninsulin Dependent,Diabetes Mellitus, Noninsulin-Dependent,Diabetes Mellitus, Type II,Maturity-Onset Diabetes,Noninsulin-Dependent Diabetes Mellitus,Type 2 Diabetes,Type 2 Diabetes Mellitus,Adult-Onset Diabetes Mellitus,Diabetes Mellitus, Adult Onset,Diabetes Mellitus, Ketosis Resistant,Diabetes Mellitus, Maturity Onset,Diabetes Mellitus, Slow Onset,Diabetes, Maturity-Onset,Diabetes, Type 2,Ketosis-Resistant Diabetes Mellitus,Maturity Onset Diabetes,Maturity Onset Diabetes Mellitus,Non-Insulin-Dependent Diabetes Mellitus,Noninsulin Dependent Diabetes Mellitus,Slow-Onset Diabetes Mellitus,Stable Diabetes Mellitus
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D012189 Retrospective Studies Studies used to test etiologic hypotheses in which inferences about an exposure to putative causal factors are derived from data relating to characteristics of persons under study or to events or experiences in their past. The essential feature is that some of the persons under study have the disease or outcome of interest and their characteristics are compared with those of unaffected persons. Retrospective Study,Studies, Retrospective,Study, Retrospective
D015190 Blood Glucose Self-Monitoring Self evaluation of whole blood glucose levels outside the clinical laboratory. A digital or battery-operated reflectance meter may be used. It has wide application in controlling unstable insulin-dependent diabetes. Blood Sugar Self-Monitoring,Home Blood Glucose Monitoring,Monitoring, Home Blood Glucose,Self-Monitoring, Blood Glucose,Glucose, Blood, Self Monitoring,Glucose, Blood, Self-Monitoring,Blood Glucose Self Monitoring,Blood Glucose Self-Monitorings,Blood Sugar Self Monitoring,Blood Sugar Self-Monitorings,Glucose Self-Monitoring, Blood,Glucose Self-Monitorings, Blood,Self Monitoring, Blood Glucose,Self-Monitoring, Blood Sugar,Self-Monitorings, Blood Glucose,Self-Monitorings, Blood Sugar,Sugar Self-Monitoring, Blood,Sugar Self-Monitorings, Blood

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