Medication Adherence in Older Renal Transplant Recipients

Author:

Russell Cynthia L.1,Cetingok Muammer2,Hamburger Karen Q.3,Owens Sarah3,Thompson Denise,Hathaway Donna4,Winsett Rebecca P.4,Conn Vicki S.5,Madsen Richard5,Sitler Lisa5,Wakefield Mark R.5

Affiliation:

1. University of Missouri, Columbia, MO, USA,

2. University of Tennessee, Knoxville, Memphis, TN, USA

3. Methodist University Hospital Transplant Institute, Memphis, TN, USA

4. University of Tennessee, Memphis, TN, USA

5. University of Missouri, Columbia, MO, USA

Abstract

This project examined patterns, predictors, and outcomes of medication adherence in a convenience sample of 37 renal transplant recipients aged 55 years or older in a Mid-Southern U.S. facility using an exploratory, descriptive, longitudinal design. Electronic monitoring was conducted for 12 months using the Medication Event Monitoring System. An alarming 86% of the participants were nonadherent with medications. Four clusters of medication taking and timing patterns were identified with evening doses presenting particular challenges. Depression, self-efficacy, social support, and medication side effects did not predict medication adherence. There was no significant difference in medication adherence scores between those with and without infections. Medication adherence pattern data from electronic monitoring provides an opportunity for health care professionals to move away from blaming the patient by attempting to identify predictors for medication nonadherence. Medication dose taking and timing patterns could be explored with patients so that medication adherence interventions could target specific patient patterns.

Publisher

SAGE Publications

Subject

General Nursing

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3