Utility Decrements Associated With Diabetes and Related Complications: Estimates From a Population-Based Study in Germany.
Value Health
; 24(2): 274-280, 2021 02.
Article
em En
| MEDLINE
| ID: mdl-33518034
ABSTRACT
OBJECTIVES:
Health utility decrement estimates for diabetes and complications are needed for parametrization of simulation models that aim to assess the cost-utility of diabetes prevention and care strategies. This study estimates health utility decrements associated with diabetes and cardiovascular and microvascular complications from a population-based German study.METHODS:
Data were obtained from the population based cross-sectional KORA (Cooperative Health Research in the Augsburg Region) health questionnaire 2016 and comprised n = 1072 individuals with type 2 diabetes and n = 7879 individuals without diabetes. Health utility was assessed through the EQ-5D-5L. We used linear regression models with interaction terms between type 2 diabetes and different cardiovascular and microvascular complications while adjusting for demographic and socio-economic factors and other comorbidities.RESULTS:
Type 2 diabetes (ß = -0.028, standard error [SE] = 0.014), stroke (ß = -0.070, SE = 0.010), cardiac arrhythmia (ß = -0.031, SE = 0.006), heart failure (ß = -0.073, SE = 0.009), coronary heart disease (ß = -0.028, SE = 0.010), myocardial infarction (ß = -0.020, SE = 0.011, estimates of main effect), and neuropathy (ß = -0.067, SE = 0.020), diabetic foot (ß = -0.042, SE = 0.030), nephropathy (ß = -0.032, SE = 0.025), and blindness (ß = -0.094, SE = 0.056, estimates of interaction terms) were negatively associated with health utility. The interaction term for diabetes x stroke (ß = -0.052, SE = 0.021) showed that the utility decrement for stroke is significantly larger in people with type 2 diabetes than in people without diabetes.CONCLUSIONS:
Diabetes, cardiovascular, and microvascular conditions are associated with significant health utility decrements. Utility decrements for some conditions differ between people with and without type 2 diabetes. These results are of high relevance for the parametrization of decision analytic simulation models and applied health economic evaluations in the field of prevention and management of type 2 diabetes in Germany.Palavras-chave
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Análise Custo-Benefício
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Diabetes Mellitus Tipo 2
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Angiopatias Diabéticas
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Cardiomiopatias Diabéticas
Tipo de estudo:
Observational_studies
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Prevalence_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Aged
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Aged80
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Female
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Humans
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Male
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Middle aged
País como assunto:
Europa
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article