A systematic review and meta-analysis of anti-epileptic medication non-adherence among people with epilepsy in Ethiopia

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Abstract

Background

Epilepsy is the common neurological disorder in the world, affecting approximately 50 million people. Anti-epileptic medication non-adherence can be a reason for long term hospitalization, repeated emergency seizure attacks, increased health care cost and frequent absence of work due to poor seizure control. Existed studies of anti-epileptic medication non-adherence in Ethiopia have reported great discrepant and inconsistent results which calls a growing demand of systematic review and meta-analysis. Therefore, this review aimed to show the pooled prevalence of anti-epileptic medication non-adherence among people with epilepsy attending outpatient department.

Methods

Literatures were searched from the PubMed/Medline, Science Direct, PsycINFO, Hinnari and Google Scholar for grey literatures. The data were extracted using a prepared data extraction Microsoft Excel format. The data were analyzed using STATA- version 14 (software). The I ² test was used to check the heterogeneity between primary studies with a corresponding 95% confidence interval.

Results

A total of fourteen primary studies of anti-epileptic medication non-adherence were included in the review showing the pooled prevalence of anti-epileptic medication non-adherence to be 39.77 (95% CI: 32.44, 47.10). The highest prevalence [44.13 95% CI: (29.92, 58.34)] was observed among studies used both self-report and medical record review together, and studies used only self-report to screen medication none adherence had the lowest prevalence [37.95% (24.50, 51.41)]. Presence of co-morbid illness [2.27 (95%CI: 1.01, 5.12)], medication side effects [1.84(95% CI: 1.43, 2.38)], substance use or drug abuse [2.01(95% CI: 1.27, 3.20)] had statistically significant association with anti-epileptic medication non-adherence.

Conclusion

In this review, we found that there is a high burden of anti-epileptic medication non-adherence among people with epilepsy in Ethiopia. This demonstrates a need for clinicians to give more attention for the monitoring and evaluation of anti-epileptic medication adherence in the health care service. We also highly recommended for the adoption of a standardized and contextualized adherence screening tools.

Trial registration

PROSPERO registration number- [ CRD42019137631].

Related collections

Most cited references 44

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ILAE official report: a practical clinical definition of epilepsy.

Robert S. Fisher, Carlos M Acevedo, Alexis Arzimanoglou … (2014)

Epilepsy was defined conceptually in 2005 as a disorder of the brain characterized by an enduring predisposition to generate epileptic seizures. This definition is usually practically applied as having two unprovoked seizures >24 h apart. The International League Against Epilepsy (ILAE) accepted recommendations of a task force altering the practical definition for special circumstances that do not meet the two unprovoked seizures criteria. The task force proposed that epilepsy be considered to be a disease of the brain defined by any of the following conditions: (1) At least two unprovoked (or reflex) seizures occurring >24 h apart; (2) one unprovoked (or reflex) seizure and a probability of further seizures similar to the general recurrence risk (at least 60%) after two unprovoked seizures, occurring over the next 10 years; (3) diagnosis of an epilepsy syndrome. Epilepsy is considered to be resolved for individuals who either had an age-dependent epilepsy syndrome but are now past the applicable age or who have remained seizure-free for the last 10 years and off antiseizure medicines for at least the last 5 years. "Resolved" is not necessarily identical to the conventional view of "remission or "cure." Different practical definitions may be formed and used for various specific purposes. This revised definition of epilepsy brings the term in concordance with common use. A PowerPoint slide summarizing this article is available for download in the Supporting Information section here. Wiley Periodicals, Inc. © 2014 International League Against Epilepsy.

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Asymmetry in funnel plots may indicate publication bias in meta-analysis, but the shape of the plot in the absence of bias depends on the choice of axes. We evaluated standard error, precision (inverse of standard error), variance, inverse of variance, sample size and log sample size (vertical axis) and log odds ratio, log risk ratio and risk difference (horizontal axis). Standard error is likely to be the best choice for the vertical axis: the expected shape in the absence of bias corresponds to a symmetrical funnel, straight lines to indicate 95% confidence intervals can be included and the plot emphasises smaller studies which are more prone to bias. Precision or inverse of variance is useful when comparing meta-analyses of small trials with subsequent large trials. The use of sample size or log sample size is problematic because the expected shape of the plot in the absence of bias is unpredictable. We found similar evidence for asymmetry and between trial variation in a sample of 78 published meta-analyses whether odds ratios or risk ratios were used on the horizontal axis. Different conclusions were reached for risk differences and this was related to increased between-trial variation. We conclude that funnel plots of meta-analyses should generally use standard error as the measure of study size and ratio measures of treatment effect.

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Global disparities in the epilepsy treatment gap: a systematic review.

Shekhar Saxena, Claire-Lise Meyer, Gretchen Birbeck … (2010)

To describe the magnitude and variation of the epilepsy treatment gap worldwide. We conducted a systematic review of the peer-reviewed literature published from 1 January 1987 to 1 September 2007 in all languages using PubMed and EMBASE. The purpose was to identify population-based studies of epilepsy prevalence that reported the epilepsy treatment gap, defined as the proportion of people with epilepsy who require but do not receive treatment. Negative binomial regression models were used to assess trends and associations. The treatment gap was over 75% in low-income countries and over 50% in most lower middle- and upper middle-income countries, while many high-income countries had gaps of less than 10%. However, treatment gaps varied widely both between and within countries. They were significantly higher in rural areas (rate ratio, RR: 2.01; 95% confidence interval, CI: 1.40-2.89) and countries with lower World Bank income classification (RR: 1.55; 95% CI: 1.32-1.82). There was no significant trend in treatment gap over time (RR: 0.92; 95% CI: 0.79-1.07). There is dramatic global disparity in the care for epilepsy between high- and low- income countries, and between rural and urban settings. Our understanding of the factors affecting the treatment gap is limited; future investigations should explore other potential explanations of the gap.

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Author and article information

Contributors

Zelalem Belayneh: zelalembe45@gmail.com

Birhanie Mekuriaw: biradilla@gmail.com

Journal

Journal ID (nlm-ta): Arch Public Health

Journal ID (iso-abbrev): Arch Public Health

Title: Archives of Public Health

Publisher: BioMed Central (London )

ISSN (Print): 0778-7367

ISSN (Electronic): 2049-3258

Publication date (Electronic): 1 May 2020

Publication date PMC-release: 1 May 2020

Publication date Collection: 2020

Volume: 78

Electronic Location Identifier: 23

Affiliations

GRID grid.472268.d, ISNI 0000 0004 1762 2666, Department of Psychiatry, College of Health and Medical Science, , Dilla University, ; Dilla, Ethiopia

Article

Publisher ID: 405

DOI: 10.1186/s13690-020-00405-2

PMC ID: 7562694

PubMed ID: 31908777

SO-VID: ab6abb14-530e-4a6a-b2b1-5dfc3527329e

License:

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

History

Date received : 2 October 2019

Date accepted : 5 March 2020

Custom metadata

ScienceOpen disciplines: Public health

Keywords: anti-epileptic,medication,drug,adherence,compliance,epilepsy

Data availability:

ScienceOpen disciplines: Public health

Keywords: anti-epileptic, medication, drug, adherence, compliance, epilepsy

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A systematic review and meta-analysis of anti-epileptic medication non-adherence among people with epilepsy in Ethiopia

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Abstract

Background

Methods

Results

Conclusion

Trial registration

Related collections

European Journal of Microbiology and Immunology

Most cited references 44

ILAE official report: a practical clinical definition of epilepsy.

Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis.

Global disparities in the epilepsy treatment gap: a systematic review.

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Contributors

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Article

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Cited by 12

Most referenced authors 810