Thank you for your interest in measurement of self-reported medication nonadherence. Do you have questions about how to use the measure? Check our FAQs. For scientific inquiries about the measure, please contact Dr. Voils at voils@surgery.wisc.edu. For permission to use the measure, please contact Galo Mejia at galo.mejia@duke.edu. The measure is available in American English, Latin American Spanish, French, Singaporean Malay, Singaporean Chinese, Arabic, and Turkish, and Kiswahili, and Azeri Turkish.
Current Version of the Dose-Nonadherence Scale
Table 4 in the following paper presents the current version that is being licensed. Note, however, that you must contact Duke University to complete a license to use the measure in a research study or clinical setting.
Voils Dig Dis Sci 2019
This article presents results of a study to refine the extent of nonadherence and reasons for nonadherence items and to establish content validity and reliability of the refined measure, Domains of Subjective Extent of Nonadherence (DOSE-Nonadherence).
Other Relevant Publications
Voils Pt Pref Adhere 2022
This article provides recommendations for administering the DOSE-Nonadherence scale for injectable medications and in the context of multiple chronic diseases.
Yagmur J Clin Pharm Ther 2022
This article presents results of a cultural adaptation of the DOSE-Nonadherence measure in patients with type 2 diabetes, hypertension, and/or dyslipidemia in a community pharmacy setting in Turkey.
Kronish Trans Behav Med 2019
This paper presents results of a modified Delphi approach to identify suitable and optimal measurement approaches for various medication nonadherence behaviors.
Kwan Patient Pref Adhere 2019
This article presents results of a cultural adaptation of the DOSE-Nonadherence measure in patients with type 2 diabetes Singapore. Chinese and Malay versions were created and administered in a validation study.
Blalock J Psychosom Res 2019
This article presents results of an analysis demonstrating that both baseline medication nonadherence and changes in nonadherence predict future cholesterol levels and changes in cholesterol levels in patients taking statins.
Blalock J Behav Med 2018
This article presents results of a latent class analysis of reasons for nonadherence in individuals taking statins.
Cornelius Health Psychol 2018
This article presents results of a latent class analysis of reasons for nonadherence to cardiovascular medications in individuals presenting to the emergency department with a suspected acute coronary syndrome.
Gellad Pharmacoepidemiol Drug Saf 2017
This article presents a critical analysis of four common myths of medication adherence: 1. On average, adherence to chronic disease medication is 50%; 2. 80% adherence is an appropriate threshold for distinguishing adequate and inadequate adherence; 3. Adherence is static; and 4. Self-reported measures of adherence are less useful than “objective measures.”
Weidenbacher Patient Prefer Adherence 2015
This article presents comparisons between people with and without depressive symptoms in extent of and reasons for nonadherence to antihypertensive, cholesterol, and diabetes medications.
Voils Patient Prefer Adherence 2014
This article presents results of a prospective cohort study demonstrating both within- and between-person variability in extent of nonadherence in individuals taking blood pressure medications.
Voils Med Care 2012
This article presents the first validation study of a two-domain measure of extent of nonadherence and reasons for nonadherence in individuals taking blood pressure medications.
Voils J Clin Epidemiol 2011
This article discusses application of psychometric theory to the measurement of medication nonadherence.