Evidence map›Paper›PMID 29766391›Full record

ArticleInternational journal of clinical pharmacy2018

Medication-related problems among adult chronic kidney disease patients in a sub-Saharan tertiary hospital.

Lisper Wangeci Njeri, William Otieno Ogallo, David Gitonga Nyamu, Sylvia Adisa Opanga, Alfred Rugendo Birichi

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Article in International journal of clinical pharmacy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Management of Drug-Drug Interactions among Critically Ill Patients with Chronic Kidney Disease: Impact of Clinical Pharmacist's Interventions.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021
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  14. Review
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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

5 authors.

Lisper Wangeci NjeriDepartment of Pharmaceutics and Pharmacy Practice, School of Pharmacy, University of Nairobi, P.O. Box 46996-00100, Nairobi, Kenya. lisper2251@students.uonbi.ac.ke.ORCID http://orcid.org/0000-0002-1559-2788
William Otieno OgalloBiomedical Informatics, Columbia University, New York, USA.
David Gitonga NyamuDepartment of Pharmaceutics and Pharmacy Practice, School of Pharmacy, University of Nairobi, P.O. Box 19676-00202, Nairobi, Kenya.
Sylvia Adisa OpangaDepartment of Pharmaceutics and Pharmacy Practice, School of Pharmacy, University of Nairobi, P.O. Box 19676-00202, Nairobi, Kenya.
Alfred Rugendo BirichiDepartment of Pharmacy, Kenyatta National Hospital, P.O. Box 334-00618, Nairobi, Kenya.

Funding

Kenyatta Natinal Hospital KNH/R&P/23E/78/4University of Nairobi 9393/2014
6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) patients are prone to medication-related problems (MRPs). Few studies address the clinical relevance of MRPs among CKD patients in sub-Saharan Africa.

objectiveTo investigate the frequency and predictors of MRPs among adult CKD patients treated at a tertiary care facility in an urban sub-Saharan setting.

settingKenyatta National Hospital in Nairobi, Kenya.

methodA cross-sectional study involving 60 adult patients with CKD was carried out. Data were collected through structured interviews and patient chart reviews between April 2016 and June 2016. MRPs identified from the collected data were classified according to Hepler and Strand classification. The frequencies of the identified MRPs were computed and logistic regression used to investigate the associations between the MRPs and covariates in the data.

main outcome measuresfrequencies and predictors of MRPs.

results271 MRPs were identified. The commonest MRPs were drug interactions (21.8%), indication without drug (18.1%) and medication non-adherence (15.5%). Compared to patients with CKD stage 3, patients with CKD stage 4 were 5.9 times more likely to have an improper drug selection and 4.7 times more likely to experience overdosage. Other significant predictors of MRPs were the number of medications per prescription and the number of comorbidities per patient.

conclusionThis study found a high frequency of MRPs among patients with chronic kidney disease receiving care in urban sub-Saharan tertiary hospital settings. The predictors of MRPs among CKD patients in this setting are likely to be multifactorial and include the CKD stage, polypharmacy, and comorbidities.

Indexed as

Cross-Sectional StudiesFemaleHumansKenyaMaleMedication ErrorsMiddle AgedRenal Insufficiency, ChronicRisk FactorsTertiary Care CentersChronic kidney diseaseDRPKenyaMedication-related problemsSub-Saharan AfricaTertiary hospital

Identifiers

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Registered trials

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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.