2019
DOI: 10.4103/jfmpc.jfmpc_405_19
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Factors affecting adherence to antiepileptic medications among Sudanese individuals with epilepsy: A cross-sectional survey

Abstract: Background: Nonadherence to medication is widespread in epilepsy and other chronic diseases. Studies reporting adherence to antiepileptic medications are very limited in African countries. Adherence reports from low income African countries are few in contrast to multiple studies from high-income countries. Therefore, the aim of this study is to measure the level of adherence to antiepileptic medication in Sudanese population. Methods: A descriptive cross-sectional stud… Show more

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Cited by 17 publications
(28 citation statements)
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“…However, in the later study all patients have EEG while in our patients only 55% had EEG access. The focal epilepsy partially matched the previous study as it was 26% versus 29% [20].…”
Section: Discussionsupporting
confidence: 78%
See 1 more Smart Citation
“…However, in the later study all patients have EEG while in our patients only 55% had EEG access. The focal epilepsy partially matched the previous study as it was 26% versus 29% [20].…”
Section: Discussionsupporting
confidence: 78%
“…Our findings in semiology of generalized seizures (84%) was higher than a hospital based study in Iran (78%) [17] and also higher than the French and Spain studies (31% & 13.8%), in hospital and primary care setting respectively [18] [19]. The tonic clonic seizures here was 75% which was partially matching a previous study in the same hospital which was 72.3% [20]. The differences in design and methodologies had affected our hospital based results.…”
Section: Discussionsupporting
confidence: 76%
“…This identifies the listed items as putative network hubs, which is in line with previous research as both high number of drugs (eg, polypharmacy) and adverse effects have been repeatedly identified as influential factors contributing to nonadherence. 2 , 5 , 30 , 31 Additionally, the expected influence, which assesses the cumulative influence within the network, indicates that items 13, 12 and 2 are highly influential nodes in the network. 32 Therefore, our network analysis was able to detect commonly identified influential factors for nonadherence, namely taking too many medications, adverse effects and lack of knowledge.…”
Section: Discussionmentioning
confidence: 99%
“…[7] Eğitim düzeyi yüksek bireylerde yapılan birçok çalışmada, hasta ve hasta yakınlarının epilepsi hakkında bilgilerinin eksik olduğu ve verilen antiepileptik tedavilere yeterince uyum göstermedikleri bildirilmiştir. [11,[17][18][19][20] Bu çalışmada da hastaların epilepsiyi tanımlarken zorlandıkları ve kendilerini tam olarak ifade edemedikleri gözlendi. Yapılan birebir görüşmelerde bazı hastaların epilepsiyi beyindeki sinir bozukluğu olarak tanımlarken, aynı zamanda ruh hastalığı olarak da kabul ettikleri belirlendi.…”
Section: öZetunclassified
“…Ayrıca bu durum tedaviye uyum sağlamalarına da yardımcı olabilir. [20,22,23] İlaç dışı tedavi uygulamalarında, kişinin bulunduğu toplum ve dini inançlarının etkisinin olduğu, Müslüman olan toplumlarda epilepsi hastalarının hocaya ve türbeye gitmeyi tercih ettikleri, muska taktıkları, şifalı sular içtikleri, batı ülkelerinde yoga yaptıkları, vitamin kullandıkları; Tayvan'da ise geleneksel Çin tıbbını kullandıkları belirlenmiştir. [24][25][26] Bu çalışmada da hastaların %27.1 gibi oldukça yüksek bir oranının da tıbbi tedavi dışında yöntemlere başvurdukları, en çok hocaya/türbeye (%73.6) gittikleri ve şifalı suları denedikleri saptandı.…”
Section: öZetunclassified