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Barriers to receipt of novel oral oncolytics: A single-institution quality improvement investigation.
Wang, Ann A; Tapia, Christopher; Bhanji, Yasin; Campbell, Christopher; Larsen, Daniel; Gross, Derick; Ganatra, Seema; Qodsi, Melad; Tellez, Claudia; Jain, Shikha.
Afiliação
  • Wang AA; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Tapia C; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Bhanji Y; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Campbell C; Hematology Oncology Program, Northwestern Memorial Hospital, Chicago, IL, USA.
  • Larsen D; Department of Medicine (Hematology and Oncology), Northwestern Medicine, Chicago, IL, USA.
  • Gross D; Hematology Oncology Program, Northwestern Memorial Hospital, Chicago, IL, USA.
  • Ganatra S; Hematology Oncology Program, Northwestern Memorial Hospital, Chicago, IL, USA.
  • Qodsi M; Hematology Oncology Program, Northwestern Memorial Hospital, Chicago, IL, USA.
  • Tellez C; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Jain S; Department of Medicine (Hematology and Oncology), Northwestern Medicine, Chicago, IL, USA.
J Oncol Pharm Pract ; 26(2): 279-285, 2020 Mar.
Article em En | MEDLINE | ID: mdl-30943846
INTRODUCTION: Novel oral oncolytic agents have become the standard of care and first-line therapies for many malignancies. However, issues impacting access to these drugs are not well explored. As part of a quality improvement project in a large tertiary academic institution, we aim to identify potential barriers that delay treatment for patients who are prescribed novel oral oncolytics. METHODS: This was a retrospective review of adults who were newly prescribed a novel oral oncolytic for Food and Drug Administration-approved indications at a single tertiary care center. Patients were identified via electronic prescription data (e-Scribe). Demographics, insurance information, and prescription dates were extracted from the electronic medical record and pharmacy claims data. Statistical analyses were performed to determine whether time-to-receipt was associated with insurance category, pharmacy transfers, cost assistance, and drug prescribed. RESULTS: Of the 270 successfully filled prescriptions, the mean time-to-receipt was 7.3 ± 10.3 days (range: 0-109 days). Patients with Medicare experienced longer time-to-receipt (9.1 ± 13.1 days) compared to patients with commercial insurance (4.4 ± 3.3). Uninsured patients experienced the longest time-to-receipt (15.7 ± 7.8 days) overall. Pharmacy transfers and cost assistance programs were also significantly associated with longer time-to-receipt. Ten prescriptions remained unfilled 90 days after the study period and were considered abandoned. CONCLUSION: Insurance has a significant effect on the time-to-receipt of newly prescribed novel oral oncolytics. Pharmacy transfers and applying for cost assistance are also associated with longer wait times for patients. Our retrospective analysis identifies areas of improvement for future interventions to reduce wait times for patients receiving novel oral oncolytics.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Assistência Farmacêutica / Honorários por Prescrição de Medicamentos / Melhoria de Qualidade / Neoplasias / Antineoplásicos Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País como assunto: America do norte Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Assistência Farmacêutica / Honorários por Prescrição de Medicamentos / Melhoria de Qualidade / Neoplasias / Antineoplásicos Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País como assunto: America do norte Idioma: En Ano de publicação: 2020 Tipo de documento: Article