Prevalence and Associated Factors of Antiepileptic Drug Non - Department of Dilla University Referral Hospital, Dilla, Gedeo, SNNPR, Southern Ethiopia adherence among Epileptic Patients Attending at out Patient

Shegaw, Maregu

doi:10.29011/2574-7762.000005

Cited by 3 publications

(7 citation statements)

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“…Old medications such as phenytoin, carbamazepine, phenobarbitone, and valproate were used less frequently in this study. This disagrees with a study by Shegaw et al ,[ 36 ] in which phenobarbital, phenytoin, carbamazepine, and sodium valproate have been used for treating 61.1%, 26.8%, 8.3%, and 3.8% of the patients, respectively. Similarly, another study revealed that carbamazepine (70.7%), sodium valproate (15.6%), and phenytoin (7.5%) were the most commonly prescribed AEDs.…”

Section: Discussioncontrasting

confidence: 96%

“…In our study, poor adherence was more common among patients who had reported having medication side effect (52.6% vs. 24.6%), and this is in agreement with a study by Shegaw et al [ 36 ] (65.7% vs. 57.4%).…”

Section: Discussionsupporting

confidence: 93%

“…[ 6 ] In this study, lack of information was reported by 7% of the respondents. This is lower than a study by Shegaw et al ,[ 36 ] in which 60.4% of participants stated that they did not get health information from their healthcare provider.…”

Section: Discussioncontrasting

confidence: 69%

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Adherence to antiepileptic drugs among patients attending the neuro spinal hospital in the united arab emirates

2020

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A BSTRACT Background: Adherence to antiepileptic drugs (AEDs) is an integral component of epilepsy management. There are no previous data in the United Arab Emirates (UAE). Objectives: The aim of this study was to assess the prevalence of AED adherence among patients attending the Neuro Spinal Hospital in UAE and to identify the predictors of nonadherence. Materials and Methods: A cross-sectional study was conducted between April 2018 and May 2019, and included consecutive patients with epileptic who were receiving AEDs for at least 6 months. A validated interviewer-administered questionnaire was used. Adherence was assessed by four-item Morisky’s Medication Adherence Scale with a score between 0 and 4. Patients were considered adherent or nonadherent for a score of zero, or 1 and more, respectively. Chi-square test, binary, and multiple logistic regression analysis were used. Results: The study included 315 respondents, 70.8% ( n = 223) were adherent, the rest were nonadherent. The most common factor affecting adherence was forgetfulness. Lower education level and having a seizure within the last 6 months were significant risk of nonadherence (odds ratio [OR] 95% confidence interval [CI] = 2.6 (1.2–5.8) and 2.5 (1.3–5.2), respectively), whereas levetiracetam intake reduces the risk of nonadherence (OR: 0.5 [0.2–0.9]). Conclusions: The prevalence of AED adherence was 70.8%. Education level and having a seizure in the last 6 months were significant predictors of nonadherence, whereas levetiracetam intake reduces the risk of nonadherence.

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Section: Discussioncontrasting

confidence: 96%

Section: Discussionsupporting

confidence: 93%

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Adherence to antiepileptic drugs among patients attending the neuro spinal hospital in the united arab emirates

2020

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“…In this study, the proportion of low anti-epileptic drug adherence was found to be 20.2%. This proportion was lower when compare with the study done in Jimma, Dilla and India [15,22,23]. But Dessie comprehensive specialized hospital low medication adherence proportion was higher than study conducted in south west Ethiopia [18].…”

Section: Discussionmentioning

confidence: 75%

“…Primary data was collected from selected patients by using pretested interview-administered structured questionnaires which adapted from different literatures(16, [22][23][24].The questionnaires were translated into Amharic and back to English to ensure consistency. Medication adherence was measured by eight-item Morisky Medication Adherence Scale (MMAS) that is widely used to measure self-reported adherence.…”

Section: Data Collection Tools and Proceduresmentioning

confidence: 99%

Assessment of Low and Medium Anti-epileptic Medication Adherence among Epileptic Patients in Dessie Comprehensive Specialized Hospital, North-East Ethiopia: Cross Sectional Study

Fissha

Kibret

Haile

2022

Preprint

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Background Non-adherence to anti-seizure medication therapy is an important contributing factor to the higher mortality rate and treatment failure of epilepsy. Complete antiepileptic therapy is an essential intervention aimed at improving the quality of life of patients who suffer from a disease which is known for its stigmatization with many cultural misconceptions. So the aim of this study was to assess low and medium anti-epileptic medication adherence among epileptic patients in Dessie comprehensive specialized hospital, north-east Ethiopia. Method A cross sectional study design was conducted among the epileptic patient attending Dessie comprehensive specialized hospital from May 4 to August 4, 2022, on the total sample size of 253 selected epileptic patients by using convenient sampling technique. Data was collected by using structured interview-administered quastitionary; its quality was checked by pretest and continuous supervision. Data was entered into Epi-data 3.1 version and exported to SPSS version 23 for analysis. Multivariable multinomial logistic regression model was used to determine the relationship between the independent variable and the outcome variable. Relative risk ratio (RRR) with 95% confidence interval was used at p value less than 0.05 to declare statistical significance association. Result From 253 study participants, this study found a 20.2%, and 30.8% incidence of the low and medium anti-epileptic drug adherence respectively. The factors for low anti-epileptic drug adherence were seizure since last visit (RRR = 1.033, 95% CI, (1.005–1.219), comorbidity of patient (RRR = 36.389, 95% CI, (7.198-183.963), adverse effect experiences since last visit (RRR = 3.938, 95% CI, (1.065–14.565), and duration of drug (RRR = 56.745, 95% CI, (.903-3567.210). The factors for medium anti-epileptic drug adherence were seizure since last visit (RRR = (1.305, 95% CI, (1.101–1.920), occupation status of the patient (RRR 1.008, 95% CI, (1.01–1.156), rural residents (RRR = 1.031, 95% CI, (1.008–1.120), and age category 18–27 (RRR = .161, 95% CI, (.031-.835). Conclusion The prevalence of low and medium antiepileptic drug adherence was high in this study. Health care providers should provide health education and medication related counseling for all patients with epilepsy to improve adherence.

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Pattern of anti-epileptic medications nonadherence and associated factors at ambulatory clinic of Jimma Medical Center, Southwestern Ethiopia: A prospective observational study

Babu

Senbeta

2023

SAGE Open Medicine

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Objective: This study is designed to assess the pattern of nonadherence, and associated factors among ambulatory patients with epilepsy at Jimma Medical Center, Southwestern Ethiopia, from November 2020 to April 2021. Methods: A hospital-based prospective observational study was employed. A consecutive sampling method was used to recruit study participants. Nonadherence was assessed by the Hill–Bone compliance to the high blood pressure therapy scale. A threshold of 18 scores was used to classify adherence status. Epi-Data manager version 4.6 was used for data entry and all statistical analysis was performed by Statistical Package for Social Science 25.0. Multivariable logistic regression was performed to explore associated factors. Results: A survey included 334 patients with epilepsy. One hundred twenty-two (36.52%) of the study participants were found to be non-adherent. The factors associated with nonadherence were poor involvement of the patient in the therapeutic decision (adjusted odds ratio = 1.74; 95% confidence interval: 1.04–2.90; p = 0.034), per month income of lesser than1000 Ethiopian birr (adjusted odds ratio = 2.66; 95% confidence interval: 1.03–6.84; p = 0.042), recent seizure episodes (adjusted odds ratio = 1.97; 95% confidence interval: 1.20–3.23; p = 0.007), adverse drug reaction (AOR = 2.13; 95% confidence interval: 1.31–3.47; p = 0.002), and negative medication belief (adjusted odds ratio = 1.28; 95% confidence interval: 1.53–2.25; p = 0.043). Conclusions: In our setting, the magnitude of nonadherence was substantially high. Hence, providing regular health-related information about the disease and treatment, supplying free antiepileptic drugs, routine assessment of adverse drug reactions, and a multidisciplinary approach involving patients may improve adherence.

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Prevalence and Associated Factors of Antiepileptic Drug Non - Department of Dilla University Referral Hospital, Dilla, Gedeo, SNNPR, Southern Ethiopia adherence among Epileptic Patients Attending at out Patient

Cited by 3 publications

References 0 publications

Adherence to antiepileptic drugs among patients attending the neuro spinal hospital in the united arab emirates

Adherence to antiepileptic drugs among patients attending the neuro spinal hospital in the united arab emirates

Assessment of Low and Medium Anti-epileptic Medication Adherence among Epileptic Patients in Dessie Comprehensive Specialized Hospital, North-East Ethiopia: Cross Sectional Study

Pattern of anti-epileptic medications nonadherence and associated factors at ambulatory clinic of Jimma Medical Center, Southwestern Ethiopia: A prospective observational study

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