Evaluation of medication adherence and predictors of sub-optimal adherence among pre-dialysis patients with chronic kidney disease

Background: Multiple medications are required to effectively manage chronic kidney disease (CKD) and associated complications, posing the risk of poor medication adherence. Objectives: To measure medication adherence levels and to investigate the potential predictors of sub-optimal medication adhere...

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Main Authors: Roland Nnaemeka Okoro, Ibrahim Ummate, John David Ohieku, Sani Ibn Yakubu, Maxwell Ogochukwu Adibe, Mathew Jegbefume Okonta
Format: Article
Language:English
Published: SAGE Publishing 2020-09-01
Series:Medicine Access @ Point of Care
Online Access:https://doi.org/10.1177/2399202620954089
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spelling doaj-55c941c7214f4c6f966e40d11ffe317a2020-11-25T03:55:13ZengSAGE PublishingMedicine Access @ Point of Care2399-20262020-09-01410.1177/2399202620954089Evaluation of medication adherence and predictors of sub-optimal adherence among pre-dialysis patients with chronic kidney diseaseRoland Nnaemeka Okoro0Ibrahim Ummate1John David Ohieku2Sani Ibn Yakubu3Maxwell Ogochukwu Adibe4Mathew Jegbefume Okonta5Department of Clinical Pharmacy and Pharmacy Administration, University of Maiduguri, Maiduguri, NigeriaNephrology Unit, University of Maiduguri Teaching Hospital, Maiduguri, NigeriaDepartment of Clinical Pharmacy and Pharmacy Administration, University of Maiduguri, Maiduguri, NigeriaDepartment of Clinical Pharmacy and Pharmacy Administration, University of Maiduguri, Maiduguri, NigeriaDepartment of Clinical Pharmacy and Pharmacy Management, University of Nigeria, Nsukka, NigeriaDepartment of Clinical Pharmacy and Pharmacy Management, University of Nigeria, Nsukka, NigeriaBackground: Multiple medications are required to effectively manage chronic kidney disease (CKD) and associated complications, posing the risk of poor medication adherence. Objectives: To measure medication adherence levels and to investigate the potential predictors of sub-optimal medication adherence in pre-dialysis patients with CKD. Methods: A prospective study was conducted in the medical and nephrology outpatients’ clinics in Maiduguri. Non-dialysis patients with CKD stages 1–4 aged 18 years and above were recruited through their physicians. The level of medication adherence was determined using Morisky Medication Adherence Scale. Descriptive statistics were used to summarize patients’ background characteristics. Multivariate binary logistic regression analyses were performed to investigate the significantly potential predictors of sub-optimal medication adherence at a p  < 0.05. Results: There were 107 participants (48.6%) who had high medication adherence, while 97 (44.1%), and 16 (7.3%) of them had moderate adherence, and low adherence, respectively. The univariate analysis revealed that medication adherence level differed significantly with the number of medications taken daily by patients ( p  < 0.05). Multivariate logistic regression analyses did not reveal a significant independent predictor of sub-optimal medication adherence. Conclusion: A majority of the participants reported sub-optimal medication adherence. The independent variables considered did not significantly predict sub-optimal medication adherence in the study population. Nevertheless, the study findings highlight the importance of clinical pharmacists’ CKD management supportive care to help improve medication adherence.https://doi.org/10.1177/2399202620954089
collection DOAJ
language English
format Article
sources DOAJ
author Roland Nnaemeka Okoro
Ibrahim Ummate
John David Ohieku
Sani Ibn Yakubu
Maxwell Ogochukwu Adibe
Mathew Jegbefume Okonta
spellingShingle Roland Nnaemeka Okoro
Ibrahim Ummate
John David Ohieku
Sani Ibn Yakubu
Maxwell Ogochukwu Adibe
Mathew Jegbefume Okonta
Evaluation of medication adherence and predictors of sub-optimal adherence among pre-dialysis patients with chronic kidney disease
Medicine Access @ Point of Care
author_facet Roland Nnaemeka Okoro
Ibrahim Ummate
John David Ohieku
Sani Ibn Yakubu
Maxwell Ogochukwu Adibe
Mathew Jegbefume Okonta
author_sort Roland Nnaemeka Okoro
title Evaluation of medication adherence and predictors of sub-optimal adherence among pre-dialysis patients with chronic kidney disease
title_short Evaluation of medication adherence and predictors of sub-optimal adherence among pre-dialysis patients with chronic kidney disease
title_full Evaluation of medication adherence and predictors of sub-optimal adherence among pre-dialysis patients with chronic kidney disease
title_fullStr Evaluation of medication adherence and predictors of sub-optimal adherence among pre-dialysis patients with chronic kidney disease
title_full_unstemmed Evaluation of medication adherence and predictors of sub-optimal adherence among pre-dialysis patients with chronic kidney disease
title_sort evaluation of medication adherence and predictors of sub-optimal adherence among pre-dialysis patients with chronic kidney disease
publisher SAGE Publishing
series Medicine Access @ Point of Care
issn 2399-2026
publishDate 2020-09-01
description Background: Multiple medications are required to effectively manage chronic kidney disease (CKD) and associated complications, posing the risk of poor medication adherence. Objectives: To measure medication adherence levels and to investigate the potential predictors of sub-optimal medication adherence in pre-dialysis patients with CKD. Methods: A prospective study was conducted in the medical and nephrology outpatients’ clinics in Maiduguri. Non-dialysis patients with CKD stages 1–4 aged 18 years and above were recruited through their physicians. The level of medication adherence was determined using Morisky Medication Adherence Scale. Descriptive statistics were used to summarize patients’ background characteristics. Multivariate binary logistic regression analyses were performed to investigate the significantly potential predictors of sub-optimal medication adherence at a p  < 0.05. Results: There were 107 participants (48.6%) who had high medication adherence, while 97 (44.1%), and 16 (7.3%) of them had moderate adherence, and low adherence, respectively. The univariate analysis revealed that medication adherence level differed significantly with the number of medications taken daily by patients ( p  < 0.05). Multivariate logistic regression analyses did not reveal a significant independent predictor of sub-optimal medication adherence. Conclusion: A majority of the participants reported sub-optimal medication adherence. The independent variables considered did not significantly predict sub-optimal medication adherence in the study population. Nevertheless, the study findings highlight the importance of clinical pharmacists’ CKD management supportive care to help improve medication adherence.
url https://doi.org/10.1177/2399202620954089
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