Real-world utilization and healthcare costs for multiple myeloma: A retrospective analysis of patients in Singapore

被引:3
作者
Bayani, Diana Beatriz [1 ,4 ,5 ]
Lin, Yihao Clement [2 ]
Ooi, Melissa G. [3 ]
Tso, Allison Ching Yee [2 ]
Wee, Hwee Lin [1 ,4 ]
机构
[1] Natl Univ Singapore, Saw Swee Hock Sch Publ Hlth, Singapore, Singapore
[2] Tan Tock Seng Hosp, Dept Hematol, Singapore, Singapore
[3] Natl Univ, Dept Haematol Oncol, Canc Inst, Singapore, Singapore
[4] Natl Univ Singapore, Dept Pharm, Singapore, Singapore
[5] Natl Univ Singapore, Saw Swee Hock Sch Publ Hlth, Tahir Fdn Bldg,12 Sci Dr 2, Singapore 117549, Singapore
来源
EJHAEM | 2023年 / 4卷 / 04期
关键词
costs; multiple myeloma; real-world data; resource use; Singapore; GUIDELINES;
D O I
10.1002/jha2.798
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页码:1013 / 1018
页数:6
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