4.4 Article

Drug cost avoidance analysis of cancer clinical trials in Spain: a study on cost contributors and their impact

期刊

BMC HEALTH SERVICES RESEARCH
卷 22, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12913-022-08222-9

关键词

Hospital management; Linear regression; Healthcare costs; Sustainability; Clinical Trials; Oncology

资金

  1. Harris School of Public Policy, The University of Chicago
  2. [DK15070]

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This study analyzed the cost contributors and their impact on drug cost avoidance resulting from cancer clinical trials in a tertiary-level hospital in Spain from 2015 to 2020. Findings showed that lung cancer trials had the highest average DCA, and the number of patients in a trial did not significantly affect the DCA. Additionally, cancer type, phase trials, and intention of treatment were significant cost contributors to DCA.
Objective: Analyze the cost contributors and their impact on the drug cost avoidance (DCA) resulting from cancer clinical trials over the period of 2015-2020 in a tertiary-level hospital in Spain (HCUVA). Methods: We performed a cross-sectional, observational, retrospective study of a total of 53 clinical trials with 363 patients enrolled. We calculated the DCA from the price of the best standard of care (i.e.: drugs that the institution would otherwise fund). A linear regression model was used to determine cost contributors and estimate their impact. Results: The total DCA was similar to 4.9 million euros (31 clinical trials; 177 enrollees), representing -similar to 30% and similar to 0,05% approximately of the annual pharmaceutical expenditures at the HCUVA and for the Spanish Health System, respectively. Cancer type analysis showed that lung cancer had the highest average DCA by trial, indicating that treatments in these trials were the most expensive. Linear regression analysis showed that the number of patients in a trial did not significantly affect that trial's DCA. Instead, cancer type, phase trials, and intention of treatment were significant cost contributors to DCA. Compared to digestive cancer trials, breast and lung trials were significantly more expensive, (p < 0.05 and p < 0.1, respectively). Phase III trials were more expensive than Phase II (p < 0.01) and adjuvant trials were less expensive than palliative (p < 0.05). Conclusion: We studied cost contributors that significantly impacted the estimated DCA from cancer clinical trials. Our work provides the groundwork to explore DCA contributors with potential to enhance public relations material and serve as a negotiating tool for budgeting, thus playing an important role to inform decisions about resource allocation.

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