Beliefs about medication as predictors of medication adherence in a prospective cohort study among persons with multiple sclerosis.
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ABSTRACT: Background
Though adherence to disease-modifying therapies (DMTs) among persons with multiple sclerosis (PwMS) varies and is often below 80%, only few prospective studies on adherence examined predictors beyond demographic and clinical characteristics.Objectives
Identify antecedents to adherence and persistence to DMT in a prospective design among PwMS.Methods
PwMS (n = 186) were prospectively assessed at three time points: baseline, 6 (Time 1) and 12 months later (Time 2). Clinical, demographic information and patient-reported medication beliefs, illness perceptions, medication habits, perceived health and affect were surveyed in-person. Adherence and persistence were assessed by a combination of self-reports and retrospective review of medication claims.Findings
PwMS were 69.9% (Time 1) and 71% (Time 2) adherent to their DMTs and 64.5.9% were persistent. Beliefs about Medications were consistently predictive at both time points (baseline to Time 1 and Time 1 to Time 2) of medication adherence and persistence whereas other perceptions were predictive in some analyses; clinical and demographic characteristics were mostly not predictive of adherence nor persistence. The prospective association of beliefs about medication with adherence held also in multivariate analyses (OR = 0.88, 95% CI 0.78-0.99, p = 0.029).Conclusions
Adherence and persistence are predicted by medication beliefs of PwMS. As medication beliefs are modifiable, they should be assessed periodically and targeted as a focus of tailored interventions aimed to improve adherence and consequently health outcomes in PwMS.Registration
Clinical trials registry # NCT02488343 , date: 06/08/2015.
SUBMITTER: Neter E
PROVIDER: S-EPMC7992850 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:This article reviews adherence to medication in multiple sclerosis (MS) patients from the perspective of nurse and social worker authors. It reviews data on patient adherence and offers practical, evidence-based strategies that health-care providers can use to facilitate adherence. In addition, it examines how emerging MS therapies may affect patient adherence and associated interventions. To promote adherence, interventions need to incorporate new and creative approaches. A proactive approach includes assessing patient needs and lifestyle before the start of medication and selecting the most appropriate disease-modifying therapy for each individual patient. Including multidisciplinary expertise and services in the treatment plan can be part of a comprehensive, holistic approach to helping patients and families. Optimization of health-care provider roles is likely to facilitate improved adherence.
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Project description:BackgroundFatigue is a common experience among persons diagnosed with multiple sclerosis (MS). Fatigue negatively influences quality of life, interferes with activities of daily living, and impairs the ability to maintain gainful employment. Mechanisms underlying the pathophysiologic determinants of fatigue in MS are poorly understood, and effective treatments to manage fatigue present a challenge. Although the use of pharmacologic therapies is recommended to treat symptomatic fatigue, undertreatment of fatigue is common. Better long-term management and symptomatic relief may be provided by the use of nonpharmacologic treatments such as increased physical activity, energy conservation, and cognitive behavioral therapy.MethodsThe purpose of this study was to explore the physical, cognitive, and psychosocial dimensions of fatigue impact among persons with long-standing MS-defined here as having been diagnosed with MS for 17 years or more. A sample of 331 participants with MS completed surveys measuring fatigue impact, MS-related functional limitation, depressive symptoms, barriers to health promotion, personal resources, and health promoting behaviors.ResultsMS-related functional limitation and depressive symptoms were the strongest predictors of fatigue impact. MS-related functional limitation explained the greatest amount of variance in models predicting physical and psychosocial fatigue impact, whereas depressive symptoms explained the most variance in models predicting total and cognitive fatigue impact. Barriers to health promotion explained the least amount of variance among the models. Personal resources and health promoting behaviors were not significant predictors of fatigue impact in this study.ConclusionInterventions aimed at reducing MS-related functional limitations, depressive symptoms, and barriers to health promotion may have beneficial influences on fatigue impact, whereas actions designed to promote personal resource adequacy as well as engagement in health promoting behaviors may not translate into improvements in fatigue impact in persons with MS.
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Project description:ObjectivesTo explore adherence, persistence, and treatment patterns in patients with multiple sclerosis (MS) in Finland treated with disease-modifying therapies (DMTs) for active MS in 2005-2018.Materials and methodsThe study cohort was identified using the Drug Prescription Register of Social Insurance Institute, Finland. All patients had at least one prescription of glatiramer acetate (GA), beta-interferons, teriflunomide, or delayed-release dimethyl fumarate (DMF). Adherence was calculated using proportion of days covered (PDC) (cutoff ≥0.8). Time to non-persistence was calculated by the number of days on index DMT treatment before the first treatment gap (≥90 days) or switch and analyzed with time-to-event methodology.ResultsThe cohort included 7474 MS patients (72.2% female; mean age 38.9 years). Treatment switches were steady over 2005-2012, peaked in 2015. PDC means (standard deviations) were GA, 0.87 (0.17); beta-interferons, 0.88 (0.15); DMF, 0.89 (0.14); teriflunomide, 0.93 (0.10). Adherence frequencies were GA, 78.4%; beta-interferons, 81.3%; DMF, 86.9%; teriflunomide, 91.7%. Logistic regression showed that age group, DMT and the starting year, sex, and hospital district independently affected adherence. Patients receiving teriflunomide and DMF, males, and older patients were more likely to persist on treatment. There was no difference in persistence between patients prescribed teriflunomide and DMF, or between GA and beta-interferons.ConclusionsOral DMTs had greater adherence and persistence than injectable DMTs.
| S-EPMC7689851 | biostudies-literature
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Project description:Abstract Registries have the potential to tackle some of the current limitations in determining the long-term impact of multiple sclerosis. Online assessments using patient-reported outcomes can streamline follow-up enabling large-scale, long-term, cost-effective, home-based, and patient-focused data collection. However, registry data are sparsely sampled and the sensitivity of patient-reported outcomes relative to clinician-reported scales is unknown, making it hard to fully leverage their unique scope and scale to derive insights. This retrospective and prospective cohort study over 11 years involved 15 976 patients with multiple sclerosis from the United Kingdom Multiples Sclerosis Register. Primary outcomes were changes in two patient-reported outcomes: Multiple Sclerosis Impact Scale motor component, and Multiple Sclerosis Walking Scale. First, we investigated their validity in measuring the impact of physical disability in multiple sclerosis, by looking at their sensitivity to disease subtype and duration. We grouped the available records (91 351 for Multiple Sclerosis Impact Scale motor and 68 092 for Multiple Sclerosis Walking Scale) by these two factors, and statistically compared the resulting groups using a novel approach based on Monte Carlo permutation analysis that was designed to cope with the intrinsic sparsity of registry data. Next, we used the patient-reported outcomes to draw novel insights into the developmental time course of subtypes; in particular, the period preceding the transition from relapsing to progressive forms. We report a robust main effect of disease subtype on the patient-reported outcomes and interactions of disease subtype with duration (all P < 0.0001). Specifically, patient-reported outcomes worsen with disease duration for all subtypes (all P < 0.0001) apart from benign multiple sclerosis (Multiple Sclerosis Impact Scale motor: P = 0.796; Multiple Sclerosis Walking Scale: P = 0.983). Furthermore, the patient-reported outcomes of each subtype are statistically different from those of the other subtypes at all time bins (Multiple Sclerosis Impact Scale motor: all P < 0.05; Multiple Sclerosis Walking Scale: all P < 0.01) except when comparing relapsing-remitting multiple sclerosis with benign multiple sclerosis and primary progressive multiple sclerosis with secondary progressive multiple sclerosis. Notably, there were statistically significant differences between relapsing-remitting and progressive subtypes at disease onset. Critically, the patient-reported outcomes are sensitive to future transitions to progressive subtypes, with individuals who transition presenting with higher patient-reported outcomes in their relapsing-remitting phase compared to individuals who don’t transition since onset (all P < 0.0001). Patient-reported outcomes capture different patterns of physical worsening over disease length and across subtypes; therefore, they are a valid tool to measure the physical impact of multiple sclerosis over the long-term and cost-effectively. Furthermore, more advanced physical disability manifests years before clinical detection of progressive subtypes, adding evidence to the presence of a multiple sclerosis prodrome. Lerede et al. found patient-reported outcomes to be a useful tool for tracking multiple sclerosis progression across subtypes and identifying early disability differences. They used permutation-based methods to analyse patient registry data, demonstrating the potential of online monitoring technologies to estimate multiple sclerosis progression risk early and support clinical decision-making. Graphical Abstract Graphical abstract
| S-EPMC10440194 | biostudies-literature
Project description:Prospective cohort carriage study
| PRJEB53187 | ENA
Project description:Background and aimsIn multiple sclerosis (MS), non-adherence/non-persistence is related to suboptimal response to treatment, including disease relapses and the need for more expensive healthcare. The aim of this study was to identify predictors related to adherence to disease modifying therapies (DMTs) in a cohort of Argentinian MS patients.MethodsWe conducted a cross-sectional study at the National Medical Care Program from Argentina. MS patients with at least one claim for a DMT from 1 January 2017 to 1 October 2017 were identified. A telephone survey was performed to assess clinical and demographic factors. The medication possession ratio (MPR) was used to estimate adherence; MPR <80% defined non-adherence. Associations were studied using a logistic regression model.ResultsOur database included 648 MS patients. A total of 360 patients (60% females, mean age 55.3 years) accepted to participate. Of these, 308 (85.5%) patients were receiving DMT at the time of the survey. Some 198 (63.7%) were receiving injectable therapies. Optimal adherence was 47.7%. Adherence was associated with oral medication [odds ratio (OR) 1.83 95% confidence interval (CI) 1.13-3.00, p = 0.014]. A factor related to oral drugs was higher educational level (OR 2.86 95%CI 1.41-5.81, p = 0.004).ConclusionThis real-world study showed better adherence and persistence on treatment with oral therapies in MS patients in Argentina.
| S-EPMC8495537 | biostudies-literature
Project description:BackgroundMaintaining patient adherence to disease modifying drugs in multiple sclerosis is a challenge, which can be improved by autoinjectors. The BETACONNECT® is a fully electronic autoinjector for the injection of interferon beta-1b (IFN beta-1b) automatically recording injections.MethodsThe BETAEVAL study was a prospective, observational, cohort study over 24 weeks among patients with relapsing remitting multiple sclerosis or clinically isolated syndrome treated with IFN beta-1b in Germany using the BETACONNECT®. The primary aim was to investigate treatment adherence, secondary aims included assessing satisfaction and functional health status. Adherence was evaluated from injection data recorded by the device. Patient-related data were obtained from clinical examinations and patient questionnaires.ResultsOf the 151 patients enrolled, 143 were available for analysis. Thirty-four patients discontinued the study prematurely. 107/143 (74.8%) patients still used the BETACONNECT® at the end of the study. Injection data from the device at any visit was available for 107 patients. Among those, the percentage of adherent patients injecting ≥80% of doses and still participating in the study was 57.9% at week 24. 29% of patients prematurely stopped the study, 13.1% injected <80%. Among patients with BETACONNECT® data at the respective visit, the proportion of adherent patients was high over the entire study period (week 4: 81.1% [N = 95], week 12: 86.7% [N = 83], week 24: 80.5% [N = 77]). Participants (N = 143) indicated high satisfaction with the BETACONNECT®. At week 24, 98.0% of patients who completed the corresponding questionnaire (strongly) agreed that it was user-friendly, 81.2% felt confident in using it compared to their previous way and 85.5% preferred it to their previous way of injection. Injection-related pain was rated as mild to moderate at all follow-up visits. Whereas 17.2% of patients with corresponding questionnaire indicated using analgesics prior to injection at week 4, only 9.1% did at week 24. Outcomes from questionnaires assessing functional health status, depression, fatigue and cognitive function were very similar throughout the study course.ConclusionsThe majority of patients continued using the BETACONNECT® for IFN beta-1b treatment during the 24-week study period. Adherence was high among participants still using the BETACONNECT® and patients were highly satisfied with the device. Ongoing studies will evaluate long-term adherence and treatment outcomes in patients using the BETACONNECT®.Trial registrationclinicaltrails.gov NCT02121444 (registered April 22, 2014).
| S-EPMC5588619 | biostudies-literature