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Medication Adherence and Healthcare Utilization in Relapsing-Remitting Multiple Sclerosis Patients Using Teriflunomide.
Greene, Nupur; Higuchi, Keiko; Bognar, Katalin; Chang, Eunice; Broder, Michael S.
Afiliação
  • Greene N; Neurology & Immunology (N&I), Sanofi, Cambridge, MA, USA.
  • Higuchi K; Neurology & Immunology (N&I), Sanofi, Cambridge, MA, USA.
  • Bognar K; Real World Evidence, PHAR (Partnership for Health Analytic Research), Beverly Hills, CA, USA.
  • Chang E; Real World Evidence, PHAR (Partnership for Health Analytic Research), Beverly Hills, CA, USA.
  • Broder MS; Real World Evidence, PHAR (Partnership for Health Analytic Research), Beverly Hills, CA, USA.
Clinicoecon Outcomes Res ; 14: 755-761, 2022.
Article em En | MEDLINE | ID: mdl-36578311
Purpose: Multiple sclerosis (MS) is a costly, immune-mediated disease of the central nervous system. Most patients have relapsing-remitting MS (RRMS) for which disease-modifying therapies (DMTs) provide an effective treatment option by reducing relapse rates. However, adherence to DMTs is suboptimal. This study examines the association between adherence to teriflunomide and clinical and healthcare utilization outcomes. Patients and Methods: Patients with RRMS who started treatment with teriflunomide between 1/1/2018 and 12/31/2019 were analyzed using IQVIA PharMetrics® Plus data. RRMS patients were identified via diagnosis codes and treatment types; the first prescription date for teriflunomide was the index date. Highly and poorly adherent patients were identified based on the proportion of days covered (PDC) post-index (PDC ≥0.8 and PDC ≤0.5, respectively). Patient demographics, clinical characteristics, healthcare utilization during the year pre- and post-index, and relapse rate post-index were reported descriptively. Outcomes were compared between highly and poorly adherent patients through logistic regression. Models were adjusted for demographics, comorbidities, and utilization measures during the baseline period. Results: Among the 922 RRMS patients identified, 534 (57.9%) were highly adherent to teriflunomide, while 249 (27.0%) had PDC ≤0.5. The two groups were not statistically different in terms of demographic characteristics and comorbidities; however, poorly adherent patients were more likely to have emergency department (ED) or inpatient visits during baseline (36.9% versus 26.8%, P=0.004; 17.3% versus 10.9%, P=0.013, respectively). Unadjusted results suggested lower likelihood of both relapses and utilization during follow-up among highly adherent patients compared to poorly adherent patients. Adjusted results confirmed that high adherence was associated with decreased likelihood of post-index relapses, ED utilization, and inpatient utilization (OR [95% CI]: 0.55 [0.39-0.76], 0.49 [0.34-0.71], and 0.51 [0.27-0.97], respectively) even after controlling for baseline utilization. Conclusion: High adherence to teriflunomide was found to be associated with fewer relapses and lower healthcare utilization among patients with RRMS.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Aspecto: Implementation_research Idioma: En Revista: Clinicoecon Outcomes Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Nova Zelândia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Aspecto: Implementation_research Idioma: En Revista: Clinicoecon Outcomes Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Nova Zelândia