[Disease modelling in diabetes mellitus]

Area of Science:

• Health Economics
• Medical Informatics
• Epidemiology

Context:

• Disease modeling is crucial for diabetes care decision-making.
• General practitioners face challenges accessing and understanding these models.
• A comprehensive overview of current disease modeling methods is needed.

Purpose:

• To provide a comprehensive overview of disease modeling methods in diabetes care.
• To define essential quality criteria for disease modeling and studies.
• To guide practitioners in assessing and utilizing disease models.

Summary:

• Key quality criteria include appropriate data sources, evidence-based assessment of medical and economic data, realistic time horizons, discounting, inflation rates, and representative populations.
• Cost-benefit analysis and model validation are critical for reliable disease modeling.
• This review offers essential criteria for evaluating the quality of diabetes disease models.

Impact:

• Enhances the quality and reliability of disease models used in diabetes care.
• Improves medical decision-making by providing practitioners with robust tools.
• Facilitates the effective application of disease modeling in clinical practice and health policy.