A Multistate Model and an Algorithm for Measuring Long-Term Adherence to Medication: A Case of Diabetes Mellitus Type 2

• Published in: Value in health 2014-03, Vol.17 (2), p.266-274
• Main Authors: Jensen, Majken Linnemann, MSc, Jørgensen, Marit Eika, MD, PhD, Hansen, Ebba Holme, MSc, Aagaard, Lise, MSc, PhD, Carstensen, Bendix, MSc
• Format: Article
• Language: English
• Subjects: acceptance; Adherence; adherence to medication; Age Factors; Algorithms; Biological and medical sciences; Chronic Disease; Cohort Studies; Denmark; diabetes mellitus; Diabetes Mellitus, Type 2 - drug therapy; General aspects; Humans; Hypoglycemic Agents - administration & dosage; Hypoglycemic Agents - therapeutic use; implementation; Incidence; Internal Medicine; Medical sciences; Medication Adherence; Metformin - administration & dosage; Metformin - therapeutic use; Miscellaneous; Models, Theoretical; multistate model; Multistate models; persistence; Planification. Prevention (methods). Intervention. Evaluation; Prescribed; Prevalence; Public health. Hygiene; Public health. Hygiene-occupational medicine; Retrospective Studies; Time Factors; Type 2 diabetes mellitus
• ISSN: 1098-3015; 1524-4733
• DOI: 10.1016/j.jval.2013.11.014

Abstract Objectives To develop a multistate model and an algorithm for calculating long-term adherence to medication among patients with a chronic disease. Methods We propose definitions of the different states of waiting, persistence, with sufficient supply to implement the prescribed dosing regimen, gaps, nonpersistence, and nonacceptance and an algorithm for transitions between states to describe long-term adherence to medication treatment. The model and algorithm are operationalized for use in a case with a retrospective cohort of patients with type 2 diabetes mellitus, with access to records of prescribed drugs from a Danish diabetes research hospital and records of filled prescriptions at Danish pharmacies from the Danish Health and Medicines Authority. Results Calculations of long-term adherence to medication are shown for patients with type 2 diabetes mellitus on metformin and/or simvastatin. The study shows how the prevalence of patients waiting to initiate treatment, patients with supply to implement the prescribed dosing regimen, patients not accepting treatment, and patients discontinuing treatment varies over time. Conclusions The proposed multistate model and algorithm can easily be translated and used for the calculation of adherence to medication in any chronic disease. The model and algorithm take time into account, and thus, changes in incidence rates and prevalence of the different states over time can be estimated on several time scales (calendar time, age of the patient, and time since indication for medication).