Literature DB >> 14622630

Measuring adherence in a hypertension clinical trial.

Glenys A Hamilton1.   

Abstract

BACKGROUND: Non-adherence in hypertension is a global problem and promoting adherence is necessary to decrease cardiovascular mortality. AIMS: The purpose of this paper is to examine the measurement of adherence to medication taking in hypertensive patients. Adherence was evaluated primarily by means of MEMS (Medication Event Monitoring System, Aprex Corporation, Fremont, California) an electronic system that records the date and time of opening of the study medication container. Additional measurements such as change in urinary potassium level, capsule count, client self report and physician estimate of adherence were recorded.
METHODS: A randomised clinical trial was used to assign patients to receive the study medication (potassium) or placebo. Descriptive statistics were used to answer the research questions. Frequency and percentage of responses to different measures of adherence were carried out as well as correlation between the measures.
RESULTS: One hundred and seven subjects between the ages of 26 and 80 participated in the clinical trial. The results showed that adherence measures varied with lowest adherence from two items of self-report related to forgetfulness (46 and 55%) and stringent electronic monitoring with the MEMS (58%) to percentages in the 80-90 range for other self-report items and the general adherence scale. Electronic monitoring correlated best with capsule count at visit 5. Implications for health care providers are discussed.

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Year:  2003        PMID: 14622630     DOI: 10.1016/S1474-5151(03)00058-6

Source DB:  PubMed          Journal:  Eur J Cardiovasc Nurs        ISSN: 1474-5151            Impact factor:   3.908


  34 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.  Adherence to a vitamin D supplement intervention in urban schoolchildren.

Authors:  Lauren E Au; Susan S Harris; Paul F Jacques; Johanna T Dwyer; Jennifer M Sacheck
Journal:  J Acad Nutr Diet       Date:  2013-08-30       Impact factor: 4.910

3.  Choices, persistence and adherence to antihypertensive agents: evidence from RAMQ data.

Authors:  Jean Lachaine; Robert J Petrella; Elizabeth Merikle; Farzad Ali
Journal:  Can J Cardiol       Date:  2008-04       Impact factor: 5.223

Review 4.  Use of electronic monitoring in clinical nursing research.

Authors:  Rita L Ailinger; Patricia L Black; Natalie Lima-Garcia
Journal:  Clin Nurs Res       Date:  2008-05       Impact factor: 2.075

5.  Adherence to Analgesics for Cancer Pain: A Comparative Study of African Americans and Whites Using an Electronic Monitoring Device.

Authors:  Salimah H Meghani; Aleda M L Thompson; Jesse Chittams; Deborah W Bruner; Barbara Riegel
Journal:  J Pain       Date:  2015-06-14       Impact factor: 5.820

6.  Life events, coping, and antihypertensive medication adherence among older adults: the cohort study of medication adherence among older adults.

Authors:  Elizabeth W Holt; Paul Muntner; C Joyce; Donald E Morisky; Larry S Webber; Marie Krousel-Wood
Journal:  Am J Epidemiol       Date:  2012-10-01       Impact factor: 4.897

Review 7.  A scoping review of studies comparing the medication event monitoring system (MEMS) with alternative methods for measuring medication adherence.

Authors:  Mohamed El Alili; Bernard Vrijens; Jenny Demonceau; Silvia M Evers; Mickael Hiligsmann
Journal:  Br J Clin Pharmacol       Date:  2016-05-02       Impact factor: 4.335

8.  Effect of general practitioner education on adherence to antihypertensive drugs: cluster randomised controlled trial.

Authors:  Nudrat Noor Qureshi; Juanita Hatcher; Nish Chaturvedi; Tazeen H Jafar
Journal:  BMJ       Date:  2007-11-08

9.  Objectively measured, but not self-reported, medication adherence independently predicts event-free survival in patients with heart failure.

Authors:  Jia-Rong Wu; Debra K Moser; Misook L Chung; Terry A Lennie
Journal:  J Card Fail       Date:  2008-04       Impact factor: 5.712

Review 10.  Correlation between adherence rates measured by MEMS and self-reported questionnaires: a meta-analysis.

Authors:  Lizheng Shi; Jinan Liu; Vivian Fonseca; Philip Walker; Anupama Kalsekar; Manjiri Pawaskar
Journal:  Health Qual Life Outcomes       Date:  2010-09-13       Impact factor: 3.186

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