Factors associated with treatment non-adherence in patients with epilepsy in Brazil

Ferrari, Carla Maria Maluf; Sousa, Regina Márcia Cardoso de; Castro, Luiz Henrique Martins

doi:10.1016/j.seizure.2013.02.006

Cited by 116 publications

(182 citation statements)

References 38 publications

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“…This scale can be split into two scores: nonintentional nonadherence (i.e., item 1: forgetting, possible range: 1-5) and intentional nonadherence (i.e., items 2-5, possible range: [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. In addition to this, the total score of the MARS was computed via summing all 5 items (ranging from 5-25).…”

Section: The Medication Adherence Report Scale (Mars)mentioning

confidence: 99%

“…Medication treatment for epilepsy and other chronic diseases requires patients to merge regimens into daily routines [17]. Although educating patients with epilepsy about medication regimens is critical to treatment [6], additional factors such as sociodemographics or beliefs about epilepsy and medication use are likely to influence treatment adherence [18].…”

Section: Introductionmentioning

confidence: 99%

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A randomized controlled multimodal behavioral intervention trial for improving antiepileptic drug adherence

Pakpour

Gholami

Esmaeili

et al. 2015

Epilepsy & Behavior

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Purpose: Medication nonadherence is one of the most important reasons for treatment failure in patients with epilepsy. The present study investigated the effectiveness of a multicomponent intervention to improve adherence to antiepileptic drug (AED) medication in patients with epilepsy. Methods: In a prospective, randomized multicenter trial, three sessions of face-to-face motivational interviewing (MI) in combination with complementary behavior change techniques were compared with standard care. Motivational interviewing prompted change talk and self-motivated statements from the patients, planning their own medication intake regimen and also identifying and overcoming barriers that may prevent adherence. Participants were provided with calendars to self-monitor their medication taking behavior. A family member and the health-care team were invited to attend the last session of MI in order to improve the collaboration and communication between patients, their caregiver or family member, and their health-care provider. At baseline and 6-month follow-up, psychosocial variables and medical adherence were assessed. Results: In total, 275 participants were included in the study. Compared with the active control group, patients in the intervention group reported significantly higher medication adherence, as well as stronger intention and perceptions of control for taking medication regularly. The intervention group also reported higher levels of action planning, coping planning, self-monitoring, and lower medication concerns. Conclusions: This study shows that MI can be effective in clinical practice to improve medication adherence in patients with epilepsy. It also provides evidence that combining volitional interventions, including action planning, coping planning, and self-monitoring with motivational interviewing can promote the effectiveness of the medical treatments for epilepsy by improving adherence.

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Section: The Medication Adherence Report Scale (Mars)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A randomized controlled multimodal behavioral intervention trial for improving antiepileptic drug adherence

Pakpour

Gholami

Esmaeili

et al. 2015

Epilepsy & Behavior

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“…The probable explanation for this difference may be due to: the study design used, the medication prescribed, methods used to measure the non adherence and as well as difference in socio-demographic characteristics of the study participant or due to study area. But the nonadherence was smaller than those studies in Brazil, Nigeria and Palestine which were 66.2%, 67.4% and 64% respectively (28,31,40) The difference from Brazil study might be due to duration of treatment and prescribed AEDs which were 71.1% of the respondents were on two to five AEDs and the mean duration of treatment was 21.5year. In this study the participants who were on two medications was 18.1% and the mean of treatment duration was 1.9 years and the difference in Nigeria might be due to socio-demographic characteristics and poly-therapy which was 85%of the participant took three and above AEDs.…”

Section: Multivariate Analysismentioning

confidence: 54%

Prevalence and Associated Factors of Antiepileptic Drugnonadherence Among Epileptic Patients Attending at Out Patient Departement of Dilla University Referral Hospital, Dilla,gedeo,snnpr, Southern Ethiopia

2017

IJBM

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Background: Antiepileptic drugs are effective in the treatment of epilepsy, but poor adherence to medication is major problem to sustained remission and to functional restoration. Poor adherence to treatment is one of many reasons for pharmacological treatment failure and seizure recurrence. Even though there were studies on the magnitude and associated factors of Antiepileptic drugs non-adherence, there is a shortage of published information regarding the prevalence and associated factors of Antiepileptic drugs none-adherence in Ethiopia. Objective: To assess prevalence and associated factors of antiepileptic drug none-adherence among epileptic patients attending at Dilla University Referral Hospital. Methods: Institutional based cross sectional study design was conducted at Dilla University Referral Hospital from March to May, 2016. A total of 265 individuals was selected by simplerandom sampling method and interviewed by using structured questionnaire. 8 itemMorisky Medication Adherence Scalewas used to assess the prevalence of antiepileptic drug non adherence. Data was coded and exported to SPSS version 20 for analysis. Results: The prevalence of Antiepileptic's drug none-adherence in this study was 38. .48, 95%, CI: 0.722,3.035] were found to be significantly associated (p<0.05). Conclusion: The prevalence of antiepileptic drug none-adherence among patients with epilepsy disorder was found 38.1%. Getting medication by payment, did not receive health information about (the illness, duration of treatment, medication side effect), skip dose, on treatment for 2-5 years, and poor social support were found to be the independent predictor of antiepileptic drug none-adherence.

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“…En pacientes con diabetes, la NAT se asocia con factores como el sexo femenino, el analfabetismo, la población urbana, la irregularidad en el seguimiento, el régi-men de ejercicio, la prescripción de fárma-cos como insulina o la combinación de insulina con metformina oral, las concepciones culturales de la enfermedad, la atención fragmentada del equipo de salud, el cansancio generado por la polifarmacia, el miedo a la aplicación de múltiples punciones de insulina, la insatisfacción con la calidad brindada de los servicios de salud y el costo económico de la enfermedad a largo plazo (14,15). En pacientes con epilepsia, se ha observado que la NAT es mayor en los hombres, en los pacientes más jóvenes, con tratamientos complejos y con convulsiones no controladas (16). En consecuencia, la NATF se puede categorizar en varios tipos de factores: factores centrados en el paciente, relacionados con el tratamiento, asociados a condiciones sociales y económicas, relacionados con el sistema de salud y la enfermedad (17).…”

Section: Palabras Claveunclassified

Evaluación de la Escala EFD-66 como herramienta para predecir la adherencia al tratamiento en pacientes con enfermedades crónicas no transmisibles

Cosío

Escobar

Lozano

et al. 2017

Revista Panamericana De Salud Pública

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Arreguín R, et al. Evaluación de la Escala EFD-66 para predecir la adherencia al tratamiento en pacientes con enfermedades crónicas no transmisibles. Rev Panam Salud Publica. 2017;41:e113. doi: 10.26633/RPSP.2017.113 Las enfermedades crónicas no transmisibles (ECNT) son un grave problema de salud pública por su importancia y transcendencia como enfermedades altamente prevenibles. En general, el sistema de salud pública (SSP) de México y de los países de la región de las Américas cuenta con programas de atención curativa que no han resultado eficaces para su prevención y tratamiento. Este enfoque ha propiciado que su abordaje no haya tenido el impacto esperado y explica, en parte, RESUMENObjetivo. Este es un artículo de acceso abierto distribuido bajo los términos de la licencia Creative Commons Attribution-NonCommercial-NoDerivs 3.0 IGO, que permite su uso, distribución y reproducción en cualquier medio, siempre que el trabajo original se cite de la manera adecuada. No se permiten modificaciones a los artículos ni su uso comercial. Al reproducir un artículo no debe haber ningún indicio de que la OPS o el artículo avalan a una organización o un producto específico. El uso del logo de la OPS no está permitido. Esta leyenda debe conservarse, junto con la URL original del artículo.

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Factors associated with treatment non-adherence in patients with epilepsy in Brazil

Cited by 116 publications

References 38 publications

A randomized controlled multimodal behavioral intervention trial for improving antiepileptic drug adherence

A randomized controlled multimodal behavioral intervention trial for improving antiepileptic drug adherence

Prevalence and Associated Factors of Antiepileptic Drugnonadherence Among Epileptic Patients Attending at Out Patient Departement of Dilla University Referral Hospital, Dilla,gedeo,snnpr, Southern Ethiopia

Evaluación de la Escala EFD-66 como herramienta para predecir la adherencia al tratamiento en pacientes con enfermedades crónicas no transmisibles

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