Mapping and managing geographic variation in elective surgeries through user-friendly data presentation: insights from Tuscany region.

Alessia Caputo, Milena Vainieri, Sabina Nuti
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Abstract

Geographic variation in elective surgical procedures poses challenges to healthcare equity, efficiency, and resource allocation. This study investigates variation in 14 elective surgical procedures performed in Tuscany, Italy, in 2022, focusing on both regional and Local Health Authority levels. Using hospital discharge data, we calculated treatment rates and the Systematic Component of Variation (SCV) to quantify unwarranted variation, applying McPherson et al. (1996)'s thresholds for interpretation. Results revealed substantial differences across procedures, with low SCVs for hip replacement and inguinal hernia repair, and very high SCVs for vein stripping and coronary artery bypass grafting. To support interpretation and governance, we developed a graphical tool that visually represents SCV levels using an intuitive, color-coded format. The tool was designed to reduce the uncertainty healthcare professionals often face when interpreting variation without clear clinical benchmarks, helping them distinguish between acceptable and potentially unwarranted differences. It was presented during the 2023 Tuscan Performance Evaluation System event and pilot-tested in 2025 with 23 healthcare professionals. The tool improved participants' ability to identify the most appropriate level of governance for action and increased confidence in understanding variation patterns. This study offers a replicable model for analyzing variation and demonstrates the value of user-friendly data visualizations in supporting informed, equity-oriented healthcare decisions. Further validation is recommended to assess long-term impact.

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通过用户友好的数据展示绘制和管理选择性手术的地理差异:来自托斯卡纳地区的见解。
选择性外科手术的地理差异对医疗公平、效率和资源分配提出了挑战。本研究调查了意大利托斯卡纳在2022年实施的14种选择性外科手术的差异,重点关注区域和地方卫生当局的水平。使用医院出院数据,我们计算了治疗率和变异的系统成分(SCV)来量化无根据的变异,应用McPherson等人(1996)的阈值进行解释。结果显示不同手术的显著差异,髋关节置换术和腹股沟疝修补术的scv较低,而静脉剥离术和冠状动脉旁路移植术的scv很高。为了支持解释和管理,我们开发了一个图形工具,使用直观的彩色编码格式可视化地表示SCV级别。该工具旨在减少医疗保健专业人员在没有明确临床基准的情况下解释变异时经常面临的不确定性,帮助他们区分可接受的和可能不合理的差异。它是在2023年托斯卡纳绩效评估系统活动期间提出的,并于2025年由23名医疗保健专业人员进行了试点测试。该工具提高了参与者识别最合适的行动治理级别的能力,并增加了对理解变化模式的信心。本研究提供了一个可复制的模型来分析变化,并展示了用户友好的数据可视化在支持知情、公平导向的医疗保健决策方面的价值。建议进一步验证以评估长期影响。
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