Evaluation of medication adherence and medication beliefs among patients with epilepsy

2021 ◽  
Vol 124 ◽  
pp. 108366
Author(s):  
Nuray Dayapoğlu ◽  
Gülcan Bahcecioglu Turan ◽  
Zülfünaz Özer
2015 ◽  
Vol 46 ◽  
pp. 242-245 ◽  
Author(s):  
Amanda J. Shallcross ◽  
Danielle A. Becker ◽  
Anuradha Singh ◽  
Daniel Friedman ◽  
Rachel Jurd ◽  
...  

2013 ◽  
Vol 29 (2) ◽  
pp. 412-415 ◽  
Author(s):  
Jeffrey Bigelow ◽  
Vineeta Singh ◽  
Mamta Singh

2018 ◽  
Vol 7 (4) ◽  
pp. 177-181 ◽  
Author(s):  
Ancy M Das ◽  
Lakshmi Ramamoorthy ◽  
Sunil k. Narayan ◽  
Vaibhav Wadwekar

Introduction: Epilepsy is a treatable and curable brain disorder. However major proportion of individuals with this disease in developing countries receives no treatment because of misunderstandings of the public. Other than that, poor adherence to ordered medication is considered the primary cause of drug therapy failure in epilepsy. This study conducted to assess the adherence pattern to antiepileptic regimen, among patients with epilepsy and to identify the clinical and patient-related factors contributing as barriers. Methods: A cross sectional survey design was used in 100 epilepsy patients in an Outpatient unit of tertiary care center. A Convenient sampling technique was used to enroll the patients who meet inclusion criteria. Structured interview with pre-tested questionnaire and eight item Morisky Medication Adherence Scale was used to collect the data. Descriptive and inferential statistics were used for analysis of data. Descriptive statistics (mean, standard deviation, frequency and percentages) were used to describe the clinical and demographic variables of study participants. The determinants of medication adherence were analyzed using Chi-Square test and independent student t- test. The analysis was done with SPSS 20th version. Results: Majority (71%) of patients were not adherent to antiepileptic treatment. Severity of seizure (indicated by the presence of seizure last year), medication frequency and complexity of treatment were found to have significant association with the Anti-Epileptic Drugs (AED) adherence status. Status of adherence is significantly associated with frequency of seizure/year and positive life style. Conclusion: As Medication adherence was observed to be low, services for adherence counseling and health educational interventions in the epilepsy clinics is recommended.


2020 ◽  
Author(s):  
Mohsen Alzamanan Sr ◽  
LIM KHENG SEANG ◽  
Maizatul Akmar Ismail ◽  
Norjihan Abdul Ghani

BACKGROUND Patients with epilepsy (PWE) are motivated to manage and cope with their disorder by themselves, that is, self-management (SM). Mobile health applications (apps) have multiple features that show a huge potential to improve self-management of individuals with chronic disorders such as epilepsy. OBJECTIVE This study aims to review all available free apps related to the self-management of PWE and to determine the self-management domains included in these apps METHODS Systematic reviews were performed for all apps by searching in iOS and Android app databases using the keywords “epilepsy” and “seizure.” RESULTS We identified 22 epilepsy SM apps:6 were found in iOS, 7 in Android, and 9 in both.Of the 11 domains of self-management, seizure tracking and seizure response features were available in most Apps(N=22 and N=19respectively), followed by treatment management(N=17) and medication adherence(N=15).Three apps (Epilepsy Journal, Epilepsy Tool Kit and EpiDiary) were installed more than 10,000 times, with features focused specifically on a few domains (including treatment management, medication adherence, health-care communication, and seizure tracking). Two Apps had >6 SM domains (Young epilepsy and E-Epilepsy Inclusion) but both with lower installation rates (5000+ and 100+ respectively). CONCLUSIONS There were mobile health applications to improve self-management in epilepsy in both iOS and Android platform, but the installation rate of most apps was low. The self-management features in various Apps were different and common features included seizure tracking and seizure response.


2018 ◽  
Vol 8 (1) ◽  
pp. 25-36 ◽  
Author(s):  
Joseph O Fadare ◽  
Taofiki A Sunmonu ◽  
Idowu A Bankole ◽  
Kehinde A Adekeye ◽  
Sani A Abubakar

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