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Objective: To develop a sustainable, scalable methodology for the design of outcome-based agreements (OBAs) that works on the ground and dynamically overcomes historical challenges.
Methods: Project IDEATE co-created solutions to known (and emergent) challenges via iterative workshops and real-world data analysis to develop and refine a hypothetical model for an OBA in a trusted research environment. A cross-disciplinary collaboration between National Health Service (NHS) Wales, industry and academia was developed. Data were collected from Welsh national datasets and used to construct a novel linked dataset. OBA scenarios, with different contract parameters, were analysed to assess impact on the proportion of contract payment due and the volatility of payments.
Results: An approved, in market, locally advanced and metastatic breast cancer treatment was selected as the test case. The total number of patients in the treatment cohort (2017-2020) was n = 99, and 286 in the control cohort (2014-2016). The final outcome variables selected were: (1) 1-year survival,( 2) intolerance to treatment (deferral), and (3) the total days disrupted by care. The primary scenario included all three outcomes measured at the population level and used a linear payment model. Volatility analyses demonstrated contract parameters can dramatically alter the contract output with greatest risk from a single, binary outcome contract design.
Conclusions: The design of an OBA is a complex process that requires a multi-disciplinary approach. By assessing solutions to data, outcomes and contracting challenges, IDEATE provides a strong foundation for future success of OBAs in the UK. Outcome-based agreements (OBAs) are a way to pay for medicines if they help patient health in a specific way over time. These agreements can make it faster for people to get new medicines, but they also have challenges, like needing a lot of time and effort to manage them. A team from the NHS Wales, life sciences, and Swansea University created Project IDEATE to find a better way to design OBAs and solve some of these problems. Welsh datasets were used to create a new breast cancer dataset to test different OBAs and see how payments would change. A breast cancer treatment was used for the project. The project had 99 patients who got the medicine (2017-2020) and 286 patients who had breast cancer but did not get the medicine (2014-2016). Three health outcomes were measured: (1) living for one year after treatment, (2) patients needing to stop the medicine, and (3) days spent in care. The main OBA option we tested used all three health outcomes; the more the outcomes improved, the more the payments could go up until they hit the highest amount agreed. The analysis showed that the way an OBA is designed can make a big difference in how stable or risky it is, especially if one of the health outcomes has only two options. Project IDEATE showed that making an OBA can be hard, but when people from different fields work together, they can overcome many challenges and succeed.
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http://dx.doi.org/10.1007/s40273-024-01445-0 | DOI Listing |
J Cell Mol Med
September 2025
College of Basic Medical Sciences, Dalian Medical University, Dalian, China.
Berberine (BBR) is an isoquinoline alkaloid with a variety of biological activities, including anti-microbial and anti-tumoral activities. However, the cellular targets of BBR and the roles of BBR in the radiosensitivity of breast cancer cells are not well defined. In this study, we investigated the effects of BBR on the radiosensitivity of BT549 triple-negative breast cancer cells.
View Article and Find Full Text PDFClin Breast Cancer
August 2025
Department of Pharmacy, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, School of Pharmacy, Fujian Medical University, Fuzhou, China. Electronic address:
Background: Emerging evidence suggests that the gut microbiota (GM) may influence the progression of breast cancer by modulating immune responses. Given the vast diversity of GM and immune cell phenotypes, this study aimed to utilize the most advanced and comprehensive data to explore the causal relationships among the GM, immune cell phenotypes, and survival rates in hormone receptor-positive (HR+) breast cancer patients under different treatment regimens.
Methods: We investigated the causal relationships between the GM, immune cell phenotypes, and survival rates in HR+ breast cancer patients treated with 11 distinct therapeutic strategies using Mendelian randomization.
Acad Radiol
September 2025
Department of General Surgery, Abdulkadir Yuksel State Hospital, Gaziantep, Turkey (A.N.Ş.).
Nihon Hoshasen Gijutsu Gakkai Zasshi
September 2025
Department of Radiological Technology, Faculty of Health Sciences, Gifu University of Medical Science.
Purpose: We aimed to develop an AI-based system to score the positioning in mammography (MG), with the goal of establishing a foundation for future technical support.
Methods: Using 800 mediolateral oblique (MLO) images, we developed an AI model (Mask Generation Model) for automatic extraction of three regions: the pectoralis major muscle, the mammary gland region, and the nipple. Using this model, we extracted three regions from 1544 MLO images and generated mask images.
Anal Chim Acta
November 2025
Department of Breast Surgery, General Surgery Center, First Hospital of Jilin University, Changchun, PR China. Electronic address:
Background: Breast-conserving surgery (BCS) is the primary surgical approach for patients with breast cancer. The accurate determination of surgical margins during BCS is critical for patient prognosis; however, time constraints and limitations in current pathological techniques often prevent pathologists from performing this assessment intraoperatively. The inability to reliably assess margins during surgery can lead to incomplete tumor removal and the need for additional surgeries.
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