Evidence map›Paper›PMID 36204091›Full record

ArticleMedicine access @ point of care

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

Roland Nnaemeka Okoro, Ibrahim Ummate, John David Ohieku, Sani Ibn Yakubu, Maxwell Ogochukwu Adibe, Mathew Jegbefume Okonta

Open access · goldAbstract read
In one paragraph

Article in Medicine access @ point of care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Roland Nnaemeka OkoroDepartment of Clinical Pharmacy and Pharmacy Administration, University of Maiduguri, Maiduguri, Nigeria.ORCID https://orcid.org/0000-0002-6391-5000
Ibrahim UmmateDepartment of Medicine, College of Medical Sciences, University of Maiduguri, Maiduguri, Nigeria.
John David OhiekuDepartment of Clinical Pharmacy and Pharmacy Administration, University of Maiduguri, Maiduguri, Nigeria.
Sani Ibn YakubuDepartment of Clinical Pharmacy and Pharmacy Administration, University of Maiduguri, Maiduguri, Nigeria.
Maxwell Ogochukwu AdibeDepartment of Clinical Pharmacy and Pharmacy Management, University of Nigeria, Nsukka, Nigeria.
Mathew Jegbefume OkontaDepartment of Clinical Pharmacy and Pharmacy Management, University of Nigeria, Nsukka, Nigeria.
University of Maiduguri · NGUniversity of Nigeria · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 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 ( 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.

Indexed as

Chronic kidney diseaseend-stage renal diseasemedication adherenceNigeriapharmacists

Identifiers

PMID36204091
PMCPMC9413621
OpenAlexW3128179491

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.