Dataset Information

Medication adherence/persistence among patients with active multiple sclerosis in Finland.

ABSTRACT:

Objectives

To 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 methods

The 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.

Results

The 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.

Conclusions

Oral DMTs had greater adherence and persistence than injectable DMTs.

SUBMITTER: Lahdenpera S

PROVIDER: S-EPMC7689851 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Medication adherence/persistence among patients with active multiple sclerosis in Finland.

Lahdenperä Sanni S Soilu-Hänninen Merja M Kuusisto Hanna-Maija HM Atula Sari S Junnila Jouni J Berglund Anders A

Acta neurologica Scandinavica 20200731 6

<h4>Objectives</h4>To 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.<h4>Materials and methods</h4>The 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 ...[more]

PMID: 32559310

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Project description:IntroductionPatients with mental and physical health conditions are complex to treat and often use multiple medications. It is unclear how adherence to one medication predicts adherence to others. A predictive relationship could permit less expensive adherence monitoring if overall adherence could be predicted through tracking a single medication.MethodsTo test this hypothesis, we examined whether patients with multiple mental and physical illnesses have similar adherence trajectories across medications. Specifically, we conducted a retrospective cohort analysis using health insurance claims data for enrollees who were diagnosed with a serious mental illness, initiated an atypical antipsychotic, as well as an SSRI (to treat serious mental illness), biguanides (to treat type 2 diabetes), or an ACE inhibitor (to treat hypertension). Using group-based trajectory modeling, we estimated adherence patterns based on monthly estimates of the proportion of days covered with each medication. We measured the predictive value of the atypical antipsychotic trajectories to adherence predictions based on patient characteristics and assessed their relative strength with the R-squared goodness of fit metric.ResultsWithin our sample of 431,591 patients, four trajectory groups were observed: non-adherent, gradual discontinuation, stop-start, and adherent. The accuracy of atypical antipsychotic adherence for predicting adherence to ACE inhibitors, biguanides, and SSRIs was 44.5, 44.5, and 49.6%, respectively (all p < 0.001 vs. random). We also found that information on patient adherence patterns to atypical antipsychotics was a better predictor of patient adherence to these three medications than would be the case using patient demographic and clinical characteristics alone.ConclusionAmong patients with multiple chronic mental and physical illnesses, patterns of atypical antipsychotic adherence were useful predictors of adherence patterns to a patient's adherence to ACE inhibitors, biguanides, and SSRIs.FundingOtsuka Pharmaceutical Development & Commercialization, Inc.

Project description:IntroductionWe sought to assess adherence to and persistence with ocrelizumab (OCR) compared with other disease-modifying treatments (DMTs), by route of administration (RoA), for multiple sclerosis (MS) after 24 months in the United States.MethodsThis retrospective claims analysis of MS patients initiating a new DMT was conducted using the IBM MarketScan Commercial and Medicare Supplemental databases between April 2016 and December 2019. Continuous enrollment of ≥ 12 months before and up to 24 months after initiating the index DMT was required. Adherence was assessed based on proportion of days covered (PDC) in the follow-up period with values ≥ 80% considered adherent. Persistence was defined as no evidence of switching to another DMT or no gap ≥ 60 days in DMT coverage.ResultsA total of 1710 patients with ≥ 24 months of follow-up (OCR, n = 524; oral, n = 701; injectable, n = 365; other intravenous [IV], n = 120) were included. Patients initiating OCR had higher adherence (80% vs. 55%, 35%, and 54% for oral, injectable, and other IV, respectively) and persistence (75% vs. 54%, 33%, and 55%, respectively) at 24 months. Relative risks (RRs) of 24-month non-adherence for those initiating orals, injectables, and other IVs were 2.2 (95% CI, 1.7-2.9), 3.0 (95% CI, 2.2-4.0), and 2.2 (95% CI, 1.5-3.3), respectively, compared to those initiating OCR. Similarly, patients receiving orals, injectables, and other IVs had RR of 1.9 (95% CI, 1.4-2.4), 2.5 (95% CI, 1.9-3.4), and 1.8 (95% CI, 1.2-2.6) for 24-month discontinuation, respectively. Similar patterns were observed at 12 and 18 months.ConclusionsPatients initiating OCR in a real-world setting achieved higher rates of adherence and persistence at 24 months compared with those initiating other DMTs, consistent with published literature showing similar results at 12 and 18 months. Optimizing medication adherence and persistence is fundamental to MS care, so clinicians should consider all elements of DMTs that may improve compliance.

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Project description:BackgroundAccurate measurement of medication adherence using classical observational studies typically depends on patient self-reporting and is often costly and slow. In contrast, digital observational studies that collect data directly from the patient may pose minimal burden to patients while facilitating accurate, timely, and cost-efficient collection of real-world data. In Germany, ~80% of patients with multiple sclerosis (MS) treated with interferon beta 1b (Betaferon) use an electronic autoinjector (BETACONNECT), which automatically records every injection. Patients may also choose to use a medical app (myBETAapp) to document injection data and their well-being (using a "wellness tracker" feature).ObjectiveThe goal of this pilot study was to establish a digital study process that allows the collection of medication usage data and to assess medication usage among patients with MS treated with interferon beta-1b who use myBETAapp.MethodsThe PROmyBETAapp digital observational study was a mixed prospective and retrospective, noninterventional, cohort study conducted among users of myBETAapp in Germany (as of December 2017: registered accounts N=1334; actively used accounts N=522). Between September and December 2017, users received two invitations on their app asking them to participate. Interested patients were provided detailed information and completed an electronic consent process. Data from consenting patients' devices were collected retrospectively starting from the first day of usage if historical data were available in the database and collected prospectively following consent attainment. In total, 6 months of data on medication usage behavior were collected along with 3 months of wellness tracker data. Descriptive statistics were used to analyze persistence, compliance, and adherence to therapy.ResultsOf the 1334 registered accounts, 96 patients (7.2%) provided informed consent to participate in the study. Of these, one patient withdrew consent later. For another patient, injection data could not be recorded during the study period. Follow-up of the remaining 94 patients ended in May 2018. The mean age of participants was 46.6 years, and 50 (53%) were female. Over the 6-month study period, persistence with myBETAapp usage was 96% (90/94), mean compliance was 94% of injections completed, and adherence (persistence and ≥80% compliance) was 89% (84/94). There was no apparent difference between male and female participants and no trend across age groups. The wellness tracker was used by 21% of participants (20/94), with a mean of 3.1 entries per user.ConclusionsThis study provides important information on medication usage among patients with MS treated with interferon beta-1b and on consenting behavior of patients in digital studies. In future studies, this approach may allow patients' feedback to be rapidly implemented in existing digital solutions.Trial registrationClinicalTrials.gov NCT03134573; https://clinicaltrials.gov/ct2/show/NCT03134573.

Dataset Information

Medication adherence/persistence among patients with active multiple sclerosis in Finland.

Objectives

Materials and methods

Results

Conclusions

Publications

Medication adherence/persistence among patients with active multiple sclerosis in Finland.

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