Dataset Information

A cross-sectional study on the rate of non-adherence to anti-seizure medications and factors associated with non-adherence among patients with epilepsy.

ABSTRACT:

Background

Non-adherence to anti-seizure medication (ASM) therapy is an important contributing factor to the higher mortality rate and treatment failure of epilepsy. This study aimed to determine the rate and factors associated with non-adherence to ASM therapy through the WHO five dimensions of medication adherence framework.

Methods

We conducted a cross-sectional study at an outpatient Neurology Clinic of a tertiary government hospital in Malaysia. Between March and July 2019, we identified 217 patients with a confirmed diagnosis of epilepsy, receiving oral ASM therapy and able to administer their medications. We performed a semi-structured interview to gather information on sociodemographic background, clinical and medication history, and perceptions on healthcare services. Adherence to ASM therapy was evaluated using the Medication Compliance Questionnaire (MCQ). Patient's illness perception was assessed by the Brief Illness Perception Questionnaire (B-IPQ).

Results

208 patients participated in this study. The median age of the study participants was 35 years (IQR 26-44). 58.2% were females and majority, 55.8%, were from the Malay ethnic group. Based on the MCQ scoring, 89 patients (42.8%) were non-adherent. Multiple logistic regression demonstrated that being employed or students (adjusted odds ratio [aOR] 2.26, 95%CI: 1.19-4.29 p = 0.012) and having an average or below average perceived access to pharmacy services (aOR 2.94, 95%CI: 1.38-6.24, p = 0.005) were significant contributors to non-adherence.

Conclusion

Being employed or students and having an average or below average perceived access to pharmacy services were associated with ASM non-adherence Efforts to improve ASM adherence should adopt a comprehensive approach considering the success of adherence is contingent on the interrelationship of multiple dimensions.

SUBMITTER: Teh KX

PROVIDER: S-EPMC7351198 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Publications

A cross-sectional study on the rate of non-adherence to anti-seizure medications and factors associated with non-adherence among patients with epilepsy.

Teh Kai Xuan KX Henien Nevein Philip Botross NPB Wong Lyang Shenz LS Wong Zoe Kee Hui ZKH Raja Ismail Raja Zarina RZ Achok Hamdi Najman HN Mariapun Jeevitha J Yunos Nor'azim Mohd NM

PloS one 20200710 7

<h4>Background</h4>Non-adherence to anti-seizure medication (ASM) therapy is an important contributing factor to the higher mortality rate and treatment failure of epilepsy. This study aimed to determine the rate and factors associated with non-adherence to ASM therapy through the WHO five dimensions of medication adherence framework.<h4>Methods</h4>We conducted a cross-sectional study at an outpatient Neurology Clinic of a tertiary government hospital in Malaysia. Between March and July 2019, w ...[more]

PMID: 32649723

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Project description:BackgroundAnti-seizure medications (ASMs) are the primary therapeutic mode to control seizures in patients with epilepsy. Adherence to the medications is critical to achieving the goals of epilepsy therapy. However, the cost of the medications and the interrupted availability of ASMs contribute to non-adherence to epilepsy treatment. Therefore, this study aimed to assess ASM adherence and its association with self-reported medication availability and affordability.ObjectiveTo assess whether self-reported availability and affordability of Anti-seizure medications affect medication adherence among Epileptic Patients at Eka Kotebe General Hospital, Addis Ababa, Ethiopia, from January 13, 2023 to March 23, 2023.MethodsA hospital-based analytical cross-sectional study was conducted among 357 epileptic patients using the Consecutive sampling method in Eka Kotebe General Hospital, Addis Ababa, Ethiopia. ASM adherence was measured using a self-report 3items questionnaire focusing on medication use patterns of patients from their last visit to the current visit. Statistical packages for Social Sciences 26.0 version statistical software cleaned, coded and analyzed the collected data. Binary logistic regression was fitted, and P-values less than 0.05 were considered to have statistical significance.ResultThe prevalence of ASM adherence was 55.2% with 95% CI (50.1%; 60.2%). About two-thirds (61.3%) of patients in this study had limited access to the ASMs or could not afford the medications. Self-reported availability of ASMs (AOR = 2.01, 95% CI = 1.01, 3.98) was significantly associated with ASM adherence. Self-reported affordability of ASMs was associated with ASM adherence in the Bivariate logistic regression analysis; however, when adjusted for other covariates in the multivariable logistic regression, no significant association was observed (p = 0.674).Conclusion and recommendationOnly about half of the epileptic patients adhered to ASMs at Eka Kotebe General Hospital. Self-reported availability of ASMs was an essential factor. Improving access to ASMs is critical to improving adherence and management of epilepsy.

Project description:Background and Objectives: The objective of this paper is to determine the rate and predictors of non-adherence to antiseizure medications in Saudi Arabia. Materials and Methods: A cross-sectional study which involved questionnaires and data collection from patients' medical records was conducted at neurology clinics. The rate of non-adherence to antiseizure medications was measured using "the Medication Adherence Rating Scale" (MARS). Predictors of non-adherence to antiseizure medications were evaluated using a multidimensional questionnaire specific to epilepsy. Results: One hundred and sixty-two patients participated in the study. The mean (SD) age was 34.1 (10.4) years, and 56% were male. Epilepsy was controlled (i.e., seizure-free ≥ 1 year) in 42% of patients. The mean ± SD (range) MARS scores were 7.80 ± 1.59 (2-10). Out of 162 patients, 58 (36%) patients had MARS scores ≤ 7 out of 10. The most frequently rated predictor for non-adherence was poor seizure control, which was reported by around 36% of patients. Forgetfulness, dosing frequency, and social stigma were also among the commonest predictors of non-adherence to antiseizure medications that were rated by approximately 27%, 24%, and 22% of the patients, respectively. The impacts of several socio-demographic and clinical factors on adherence were assessed. In the regression analysis, the odds of non-adherence in a patient who experienced adverse effects were twice that of a patient who did not have adverse effects (p = 0.113). Furthermore, females, employers, and patients who had comorbidity, those with focal epilepsy, those on polytherapy of antiseizure medication, and those receiving multiple doses per day, were all more likely (but not significantly, p > 0.05) to be non-adherent compared to their counterparts. Conclusions: The significance of this study is that it reveals that adherence to antiseizure medications is suboptimal in Saudi Arabia. Poor seizure control, forgetfulness, dosing frequency, and social stigma were the primary patient-reported predictors of non-adherence in epilepsy. This emphasizes the importance of routine evaluation of adherence in practice to identify and address what individual patients perceive as a barrier to adherence with antiseizure medications.

Project description:IntroductionAdherence to anti-asthmatic medications plays a vital role in enhancing an asthma patient's quality of life and prognosis. However, in Ethiopia, the level of adherence and contributing factors were rarely studied. Therefore, this study was conducted to determine the level of adherence to anti-asthma medications and associated factors among adult asthmatic patients in Eastern Ethiopia.MethodInstitutional based cross-sectional study was conducted at six governmental hospitals found in Eastern Ethiopia. A total of 320 asthma patients aged 18 years and above and using asthma medicines for at least 12 months were involved. An interviewer based structured questionnaires were used to collect the data. Bivariable and multivariable logistic regression analyses were carried out using IBM SPSS version 22 (SPSS, Chicago, IL). The Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) was used to determine the strength of association between independent variables and outcome variable. Variables with a p-value of ≤ 0.05 were considered statistically significant.ResultOf the 320 asthma patients that participated in the study, 109(34.1%:28.8-39.1%) of them had good adherence to anti-asthmatic medications. Being a housewife (AOR = 4.265, 95%CI: 1.333, 13.653), having good knowledge about asthma (AOR = 2.921, 95%CI (1.472, 5.795), positive attitude towards asthma (AOR = 3.129, 95%CI: 1.555, 6.293), and use of oral corticosteroid drugs (AOR = 1.967, 95%CI: 1.008, 3.841) were factors positively associated with good adherence to anti-asthmatic medications. Participants on treatment for 2-3 years (AOR = .295, 95%CI: 0.099, 0.873), and those on medication for ≥ 4 years (AOR = 0.229, 95%CI: 0.079, 0.664) were 70.5% and 77.1% times less likely to adhere to anti-asthmatic medications respectively.ConclusionThe current study signified a low level of adherence to anti-asthmatic medications. Participant's characteristics and medication related factors were significantly associated with good adherence to anti-asthmatic medications. Health education and advice during follow-up for asthma patients is crucial for better adherence.

Dataset Information

A cross-sectional study on the rate of non-adherence to anti-seizure medications and factors associated with non-adherence among patients with epilepsy.

Background

Methods

Results

Conclusion

Publications

A cross-sectional study on the rate of non-adherence to anti-seizure medications and factors associated with non-adherence among patients with epilepsy.

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