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Real-world utilization and healthcare costs for multiple myeloma: A retrospective analysis of patients in Singapore.
Bayani, Diana Beatriz; Lin, Yihao Clement; Ooi, Melissa G; Tso, Allison Ching Yee; Wee, Hwee Lin.
Afiliación
  • Bayani DB; Saw Swee Hock School of Public Health National University of Singapore Singapore.
  • Lin YC; Department of Hematology Tan Tock Seng Hospital Singapore.
  • Ooi MG; Department of Haematology-Oncology National University Cancer Institute Singapore.
  • Tso ACY; Department of Hematology Tan Tock Seng Hospital Singapore.
  • Wee HL; Saw Swee Hock School of Public Health National University of Singapore Singapore.
EJHaem ; 4(4): 1013-1018, 2023 Nov.
Article en En | MEDLINE | ID: mdl-38024607
ABSTRACT
Multiple myeloma, a hematological malignancy, imposes a significant financial burden on healthcare systems. Health technology assessments (HTA) and economic evaluations play vital roles in reimbursement decisions and cost containment. This study aimed to explore healthcare utilization patterns and costs among myeloma patients in Singapore through a retrospective analysis of 605 patients treated at two cancer centers. Data encompassing demographics, treatment utilization, and billing were extracted from electronic records, and a cost analysis was performed from the perspective of the Singapore healthcare system. The results revealed common usage of immunomodulatory agents (52%) and proteasome inhibitors (37%), with bortezomib being the most frequently used targeted treatment. Treatment costs increased with disease progression, displaying variations depending on the therapeutic agent used. Notably, hospitalization costs due to adverse events were substantial, with pneumonia as the leading cause. This study highlights the high cost of myeloma therapy in Singapore, posing a financial burden for households. Findings may inform economic evaluations, evidence generation, reimbursement, and subsidy decisions. Leveraging real-world data from electronic records provides valuable insights into local healthcare utilization patterns. Future studies may explore integrating billing databases with clinical repositories for a more comprehensive analysis, and consider limitations such as incomplete clinical information and potential selection bias.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: EJHaem Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: EJHaem Año: 2023 Tipo del documento: Article