Literature DB >> 15238622

Self-reported Morisky score for identifying nonadherence with cardiovascular medications.

Stephen J Shalansky1, Adrian R Levy, Andrew P Ignaszewski.   

Abstract

BACKGROUND: The Morisky medication adherence scale is a commonly used adherence screening tool. It is composed of 4 yes/no questions about past medication use patterns and is thus quick and simple to use during drug history interviews.
OBJECTIVE: To evaluate the use of the self-reported Morisky score as a screening tool for identifying patients who have been nonadherent with chronic cardiovascular medications.
METHODS: Patients who had taken an angiotensin-converting enzyme inhibitor or lipid-lowering agent for at least 3 consecutive months were interviewed using a structured questionnaire including the Morisky scale. Nonadherence was defined as taking < 80% of chronic cardiovascular medications based on prescription refill data over the previous 14 months.
RESULTS: Forty-nine of 377 (13%) patients were categorized as nonadherent; however, only 12 (3%) patients had Morisky scores suggesting a high likelihood of nonadherence (3 or 4). While the Morisky score was a significant independent predictor of nonadherence by multivariate analysis, there was no threshold score or individual question that yielded concurrent high sensitivity and positive predictive values (PPVs) for identifying nonadherent patients. The internal consistency of the questions was low (alpha 0.32), as were item-to-total score correlations, suggesting that the individual questions were not measuring the same attribute.
CONCLUSIONS: Using the Morisky scale to identify patients who have been nonadherent with chronic cardiovascular medications may be reasonable in some settings; however, the threshold score would have to be chosen based on a trade-off between sensitivity and PPV. These results were likely influenced by the low rate of nonadherence in this cohort. Rewording the questions, increasing the number of questions, and the use of graded response options may improve consistency.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15238622     DOI: 10.1345/aph.1E071

Source DB:  PubMed          Journal:  Ann Pharmacother        ISSN: 1060-0280            Impact factor:   3.154


  80 in total

Review 1.  Concordance of adherence measurement using self-reported adherence questionnaires and medication monitoring devices.

Authors:  Lizheng Shi; Jinan Liu; Yordanka Koleva; Vivian Fonseca; Anupama Kalsekar; Manjiri Pawaskar
Journal:  Pharmacoeconomics       Date:  2010       Impact factor: 4.981

2.  Obesity Modifies the Association of Race/Ethnicity with Medication Adherence in the CARDIA Study.

Authors:  Maribel Salas; Catarina I Kiefe; Pamela J Schreiner; Yongin Kim; Lucia Juarez; Sharina D Person; O Dale Williams
Journal:  Patient       Date:  2008-01-01       Impact factor: 3.883

3.  Predictors of medication adherence in an urban Latino community with healthcare disparities.

Authors:  Jennifer A Colby; Fei Wang; Jyoti Chhabra; Rafael Pérez-Escamilla
Journal:  J Immigr Minor Health       Date:  2012-08

4.  Perceived information needs and non-adherence: evidence from Greek patients with hypertension.

Authors:  Charitini Stavropoulou
Journal:  Health Expect       Date:  2011-04-18       Impact factor: 3.377

5.  Factor structure and validity of the Medication Adherence Questionnaire (MAQ) with cigarette smokers trying to quit.

Authors:  Benjamin A Toll; Sherry A McKee; Daniel J Martin; Peter Jatlow; Stephanie S O'Malley
Journal:  Nicotine Tob Res       Date:  2007-05       Impact factor: 4.244

6.  An electronic pillbox for continuous monitoring of medication adherence.

Authors:  Tamara L Hayes; John M Hunt; Andre Adami; Jeffrey A Kaye
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006

7.  Low medication adherence and hypertension control among adults with CKD: data from the REGARDS (Reasons for Geographic and Racial Differences in Stroke) Study.

Authors:  Paul Muntner; Suzanne E Judd; Marie Krousel-Wood; William M McClellan; Monika M Safford
Journal:  Am J Kidney Dis       Date:  2010-05-14       Impact factor: 8.860

8.  Are two commonly used self-report questionnaires useful for identifying antihypertensive medication nonadherence?

Authors:  Benjamin D Gallagher; Paul Muntner; Nathalie Moise; Jenny J Lin; Ian M Kronish
Journal:  J Hypertens       Date:  2015-05       Impact factor: 4.844

9.  Predictors of refill non-adherence in patients with heart failure.

Authors:  Johnson George; Stephen J Shalansky
Journal:  Br J Clin Pharmacol       Date:  2006-10-31       Impact factor: 4.335

10.  A study of medication-taking and unobtrusive, intelligent reminding.

Authors:  Tamara L Hayes; Kofi Cobbinah; Terry Dishongh; Jeffrey A Kaye; Janna Kimel; Michael Labhard; Todd Leen; Jay Lundell; Umut Ozertem; Misha Pavel; Matthai Philipose; Kevin Rhodes; Sengul Vurgun
Journal:  Telemed J E Health       Date:  2009-10       Impact factor: 3.536

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.