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Using Re-Aim To Identify Implementation Determinants Of Cardiovascular Risk Stratification Score For Patients With Prostate Cancer

Hyma Kunhiraman, H.; Kruse-Diehr, A. J.; Koo, P. J.; Barata, P.; Patel, S. A.; Armstrong, A. J.; Swami, U.; Morgans, A. K.; Alumkal, J.; Hahn, A. W.; Palapattu, G.; Klaassen, Z.; Beltran, H.; Riaz, I. B.; Roy, S.; Moses, K.; Esdaille, A. R.; Harrison, M. R.; Agarwal, N.; Guha, A.

2025-12-19 oncology
10.64898/2025.12.18.25342579 medRxiv
Show abstract

BackgroundCardiovascular disease (CVD) remains the leading cause of death among patients with prostate cancer. While the American Heart Associations PREVENT Score offers a comprehensive lab-based CVD risk prediction model, its integration into oncology workflows is hindered by logistical barriers. To address this gap, the GUHA-STABELLINI Score was developed as a simplified, lab-independent tool tailored for use in specialty care settings. ObjectiveTo evaluate physician preferences, implementation feasibility, and contextual fit of the GUHA-STABELLINI versus PREVENT Score using the RE-AIM (i.e., Reach, Effectiveness, Adoption, Implementation, and Maintenance) model. MethodsA cross-sectional survey was administered to 45 oncology-specialized physicians across academic and community settings. The survey, structured around RE-AIM domains, assessed preferences, implementation perceptions, and perceived effectiveness of each tool. Quantitative responses were analyzed descriptively, and qualitative comments were thematically coded. ResultsA significant majority (93%) of respondents preferred the GUHA-STABELLINI Score over PREVENT, citing its ease of use and alignment with clinical workflows. Across RE-AIM domains, GUHA-STABELLINI scored highly in adaptability (71%), cost/resource feasibility (65%), perceived effectiveness (87%), and equity of reach and outcomes (75% and 73%, respectively). Respondents emphasized the tools real-time usability, low resource dependency, and ability to facilitate shared decision-making without laboratory input. ConclusionsDespite marginally lower predictive precision, the GUHA-STABELLINI Score demonstrates superior feasibility, reach, and clinical utility within oncology clinics. Findings highlight the importance of implementation-informed design in developing decision support tools. Future research should focus on validating clinical outcomes and expanding use across specialties. The GUHA-STABELLINI Score serves as a model for pragmatic, specialty-integrated preventive care solutions in resource-constrained environments. QuestionAmong oncology-specialized physicians, does the simplified and laboratory-independent GUHA-STABELLINI cardiovascular risk score offer superior perceived implementability and clinical utility compared with the AHA PREVENT Score for prostate cancer patients on androgen deprivation therapy? FindingsIn this cross-sectional survey of 45 physicians, 93% preferred the GUHA-STABELLINI Score over the AHA PREVENT Score. Respondents rated GUHA-STABELLINI as highly adaptable to workflow (71%), cost- and resource-feasible (65%), and likely to be effective (87%) and equitable in reach (75%), despite its slightly lower predictive precision. MeaningA context-aligned, low-burden cardiovascular risk tool such as GUHA-STABELLINI may achieve greater clinical uptake in oncology settings than more complex laboratory-dependent models, highlighting the central role of implementation-informed design in successful adoption.

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