Contributions
Abstract: EP1702
Type: ePoster
Abstract Category: Therapy - disease modifying - 28 Long-term treatment monitoring
Background: Adherence to medication is the extent to which a patient acts in accordance with the prescribed interval and dose of a medication regimen. Adherence comprises of implementation and persistence of habit and is estimated to be around 50% in chronic illnesses as MS. Existing evidence indicates that improved medication adherence could have a major effect on disease progression and overall health in patients with MS. There's scarce knowledge about perception- related aspects as predictors of non-adherence to medications among people with Multiple Sclerosis (PwMS).
Aim: To identify prospective indicators of non-adherence to medication in MS.
Methods: Participants were 96 relapsing-remitting PwMS treated at our MS Center. Questionnaires assessing adherence, demographic data, illness and medicine perceptions, health-related quality of life (HRQoL), habits, and emotional factors were filled by participants. Physical disability (EDSS) was evaluated by the treating neurologist. The questionnaires and physical evaluation were administered at baseline and 6 months later. Adherence was defined using the Probabilistic Medication Adherence Scale (ProMAS) and participants were divided to 2 levels of adherence.. Univariate analysis was conducted to assess the association between background, perceptual and medical variables with adherence.
Results: Participants´ adherence rates were divided into 2 subgroups: 67 (69.8%) participants reported high adherence and 29 (30.2%) reported medium-low adherence.
Pearson correlations indicated that illness- and medications-perceptions are key predictors of adherence 6 months later. The 5 predictors were:
Illness perception, understanding the illness, (OR=3.062, p=0.045); Health perception (OR=6.667, p=0.012); Satisfaction with care (OR=5.25, p=0.012); Medication erception -overuse (OR=3.422, p=0.011); Medication perception -harm (OR=3.030, p=0.009).
Demographic data, physical disability status, HRQoL, habits, depression and anxiety had no significant predictive value.
Conclusions: Our study suggests that illness- and medication-perceptions, malleable constructs, are key predictors of adherence among PwMS. Interventions should be developed to improve medication adherence among these subgroups so that patients can achieve the full benefits of prescribed pharmaco-therapies.
Disclosure: Ratzabi S: nothing to disclose
Neter E: nothing to disclose
Glass-Marmor L: nothing to disclose
Wolkovich A: nothing to disclose
Dishon S: nothing to disclose
Lavi I: nothing to disclose
Miller A: Prof Miller received honoraria for serving on advisory boards, speaker´s fees or unrestricted research support from Biogen, Sanofi-Genzyme, Merck-Serono, TEVA, Novartis, Bayer-Schering, Roche and Mapi-Parma. The study is supported by research support from Biogen, Merck-Serono and Novartis.
Abstract: EP1702
Type: ePoster
Abstract Category: Therapy - disease modifying - 28 Long-term treatment monitoring
Background: Adherence to medication is the extent to which a patient acts in accordance with the prescribed interval and dose of a medication regimen. Adherence comprises of implementation and persistence of habit and is estimated to be around 50% in chronic illnesses as MS. Existing evidence indicates that improved medication adherence could have a major effect on disease progression and overall health in patients with MS. There's scarce knowledge about perception- related aspects as predictors of non-adherence to medications among people with Multiple Sclerosis (PwMS).
Aim: To identify prospective indicators of non-adherence to medication in MS.
Methods: Participants were 96 relapsing-remitting PwMS treated at our MS Center. Questionnaires assessing adherence, demographic data, illness and medicine perceptions, health-related quality of life (HRQoL), habits, and emotional factors were filled by participants. Physical disability (EDSS) was evaluated by the treating neurologist. The questionnaires and physical evaluation were administered at baseline and 6 months later. Adherence was defined using the Probabilistic Medication Adherence Scale (ProMAS) and participants were divided to 2 levels of adherence.. Univariate analysis was conducted to assess the association between background, perceptual and medical variables with adherence.
Results: Participants´ adherence rates were divided into 2 subgroups: 67 (69.8%) participants reported high adherence and 29 (30.2%) reported medium-low adherence.
Pearson correlations indicated that illness- and medications-perceptions are key predictors of adherence 6 months later. The 5 predictors were:
Illness perception, understanding the illness, (OR=3.062, p=0.045); Health perception (OR=6.667, p=0.012); Satisfaction with care (OR=5.25, p=0.012); Medication erception -overuse (OR=3.422, p=0.011); Medication perception -harm (OR=3.030, p=0.009).
Demographic data, physical disability status, HRQoL, habits, depression and anxiety had no significant predictive value.
Conclusions: Our study suggests that illness- and medication-perceptions, malleable constructs, are key predictors of adherence among PwMS. Interventions should be developed to improve medication adherence among these subgroups so that patients can achieve the full benefits of prescribed pharmaco-therapies.
Disclosure: Ratzabi S: nothing to disclose
Neter E: nothing to disclose
Glass-Marmor L: nothing to disclose
Wolkovich A: nothing to disclose
Dishon S: nothing to disclose
Lavi I: nothing to disclose
Miller A: Prof Miller received honoraria for serving on advisory boards, speaker´s fees or unrestricted research support from Biogen, Sanofi-Genzyme, Merck-Serono, TEVA, Novartis, Bayer-Schering, Roche and Mapi-Parma. The study is supported by research support from Biogen, Merck-Serono and Novartis.