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

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 c...

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Autores principales: Bayani, Diana Beatriz, Lin, Yihao Clement, Ooi, Melissa G., Tso, Allison Ching Yee, Wee, Hwee Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660121/
https://www.ncbi.nlm.nih.gov/pubmed/38024607
http://dx.doi.org/10.1002/jha2.798
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author Bayani, Diana Beatriz
Lin, Yihao Clement
Ooi, Melissa G.
Tso, Allison Ching Yee
Wee, Hwee Lin
author_facet Bayani, Diana Beatriz
Lin, Yihao Clement
Ooi, Melissa G.
Tso, Allison Ching Yee
Wee, Hwee Lin
author_sort Bayani, Diana Beatriz
collection PubMed
description 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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spelling pubmed-106601212023-09-23 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 EJHaem Haematologic Malignancy ‐ Plasma Cell 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. John Wiley and Sons Inc. 2023-09-23 /pmc/articles/PMC10660121/ /pubmed/38024607 http://dx.doi.org/10.1002/jha2.798 Text en © 2023 The Authors. eJHaem published by British Society for Haematology and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Haematologic Malignancy ‐ Plasma Cell
Bayani, Diana Beatriz
Lin, Yihao Clement
Ooi, Melissa G.
Tso, Allison Ching Yee
Wee, Hwee Lin
Real‐world utilization and healthcare costs for multiple myeloma: A retrospective analysis of patients in Singapore
title Real‐world utilization and healthcare costs for multiple myeloma: A retrospective analysis of patients in Singapore
title_full Real‐world utilization and healthcare costs for multiple myeloma: A retrospective analysis of patients in Singapore
title_fullStr Real‐world utilization and healthcare costs for multiple myeloma: A retrospective analysis of patients in Singapore
title_full_unstemmed Real‐world utilization and healthcare costs for multiple myeloma: A retrospective analysis of patients in Singapore
title_short Real‐world utilization and healthcare costs for multiple myeloma: A retrospective analysis of patients in Singapore
title_sort real‐world utilization and healthcare costs for multiple myeloma: a retrospective analysis of patients in singapore
topic Haematologic Malignancy ‐ Plasma Cell
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660121/
https://www.ncbi.nlm.nih.gov/pubmed/38024607
http://dx.doi.org/10.1002/jha2.798
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