Literature DB >> 9366895

Assessing compliance to antihypertensive medications using computer-based pharmacy records.

D B Christensen1, B Williams, H I Goldberg, D P Martin, R Engelberg, J P LoGerfo.   

Abstract

Systematic approaches for compliance problem detection and intervention are needed if the benefits of prescribed drug therapy in chronic disease management are to be optimized. As with all measures of compliance, computer algorithms based on refill patterns have advantages and disadvantages. They are unobtrusive and easily determined, but they measure the timeliness of prescription refills, not actual drug-taking. Computer-generated algorithms for assessing compliance based on refill patterns should be used by practitioners with caution, because they are not only markers for potential drug taking compliance problems, but also for discrepancies between the medical chart, pharmacy records and verbal advice given to the patient. Because patients may obtain refills before depleting their supply, compliance rates using this methodology are best determined across several refills. In particular, we urge caution in applying them over time periods of less than 60 days. Longer minimum time periods further decrease the likelihood of "false positives" but limit the number of patients for whom a compliance measure can be computed. For the health professional (eg, the pharmacist) responsible for monitoring drug-taking compliance of patients, the message seems clear: when reviewing computer-generated noncompliance "flags," the first task is to fully explore the possibility of discrepancies in drug records before initiating compliance-related interventions.

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Year:  1997        PMID: 9366895     DOI: 10.1097/00005650-199711000-00008

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  33 in total

Review 1.  Observational studies of antihypertensive medication use and compliance: is drug choice a factor in treatment adherence?

Authors:  K A Payne; S Esmonde-White
Journal:  Curr Hypertens Rep       Date:  2000-12       Impact factor: 5.369

2.  Congruence of medication information from a brown bag data collection and pharmacy records: findings from the Seattle longitudinal study.

Authors:  Grace I L Caskie; Sherry L Willis; K Warner Schaie; Faika A K Zanjani
Journal:  Exp Aging Res       Date:  2006 Jan-Mar       Impact factor: 1.645

3.  The Iowa Continuity of Care study: Background and methods.

Authors:  Barry L Carter; Karen B Farris; Paul W Abramowitz; David B Weetman; Peter J Kaboli; Jeffrey D Dawson; Paul A James; Alan J Christensen; John M Brooks
Journal:  Am J Health Syst Pharm       Date:  2008-09-01       Impact factor: 2.637

Review 4.  Assessing medication adherence in the elderly: which tools to use in clinical practice?

Authors:  Eric J MacLaughlin; Cynthia L Raehl; Angela K Treadway; Teresa L Sterling; Dennis P Zoller; Chester A Bond
Journal:  Drugs Aging       Date:  2005       Impact factor: 3.923

5.  High Real-World Medication Adherence and Durable Clinical Benefit in Medicare Patients Treated with 5-Alpha Reductase Inhibitors for Benign Prostatic Hyperplasia.

Authors:  Hu Zhang; Daniel M Frendl; Zongwei Wang; Aria F Olumi
Journal:  J Urol       Date:  2020-03-13       Impact factor: 7.450

6.  A systematic review of methods for determining cross-sectional active medications using pharmacy databases.

Authors:  Timothy S Anderson; Edison Xu; Evans Whitaker; Michael A Steinman
Journal:  Pharmacoepidemiol Drug Saf       Date:  2019-02-13       Impact factor: 2.890

7.  The association between Self-Reported Medication Adherence scores and systolic blood pressure control: a SPRINT baseline data study.

Authors:  William E Haley; Olivia N Gilbert; Robert F Riley; Jill C Newman; Christianne L Roumie; Jeffrey Whittle; Ian M Kronish; Leonardo Tamariz; Alan Wiggers; Donald E Morisky; Molly B Conroy; Eugene Kovalik; Nancy R Kressin; Paul Muntner; David C Goff
Journal:  J Am Soc Hypertens       Date:  2016-09-07

8.  Congruence of self-reported medications with pharmacy prescription records in low-income older adults.

Authors:  Grace I L Caskie; Sherry L Willis
Journal:  Gerontologist       Date:  2004-04

9.  Defining an evidence-based cutpoint for medication adherence in heart failure.

Authors:  Jia-Rong Wu; Debra K Moser; Marla J De Jong; Mary Kay Rayens; Misook L Chung; Barbara Riegel; Terry A Lennie
Journal:  Am Heart J       Date:  2008-12-24       Impact factor: 4.749

10.  Glaucoma patients' trust in the physician.

Authors:  Kelly W Muir; Cecilia Santiago-Turla; Sandra S Stinnett; Leon W Herndon; R Rand Allingham; Pratap Challa; Paul P Lee
Journal:  J Ophthalmol       Date:  2009-10-07       Impact factor: 1.909

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