Sonawane Kalyani, Borse Ketki N, Jefferson Melanie, Damgacioglu Haluk, Carpenter Matthew J, Pearce John L, Ogretmen Besim, Paczesny Sophie, O'Bryan John P, Obeid Jihad S, Ford Marvella E, Deshmukh Ashish A
medRxiv. 2024 Jul 8:2024.07.05.24309999. doi: 10.1101/2024.07.05.24309999.
Data dashboards that can communicate complex and diverse catchment area data effectively can transform cancer prevention and care delivery and strengthen community engagement efforts. Engaging stakeholders in data dashboard development, by seeking their inputs and collecting feedback, has the potential to maximize user-centeredness.
To describe a systematic, stakeholder-driven, and theory-based approach for developing catchment area data visualization tools for cancer centers.
Cancer-relevant catchment area data were identified from national- and state-level data sources (including cancer registries, national surveys, and administrative claims databases). A prototype tool for data visualization was designed, developed, and tested based on the [ rganize, lan, est, tegrate] framework. A working group of multi-disciplinary experts collected stakeholder feedback through formative assessment to understand data and design preferences. Thematic areas, data elements, and the composition and placement of data visuals in the prototype were identified and refined by working group members. Visualizations were rendered in Tableau and embedded in a public-facing website. A mixed-method approach was used to assess the understandability and actionability of the tool and to collect open-ended feedback that informed action items for improvisation.
We developed a visualization dashboard that illustrates cancer incidence and mortality, risk factor prevalence, healthcare access, and social determinants of health for the Hollings Cancer Center catchment area. Color-coded maps, time-series plots, and graphs illustrate these catchment area data. A total of 21 participants representing key stakeholders [general audience (n=4), community advisory board members and other representatives (n=7), and researchers (n=10)] were identified. The understandability and actionability scores exceeded the minimum (80%) threshold. Stakeholders' feedback confirmed that the tool is effective in communicating cancer data and is useful for education and advocacy. Themes that emerged from qualitative data suggest that additional changes to the tool such as a warm color palette, data source transparency, and the addition of analytical features (data overlaying and area-resolution selection) would further enhance the tool. Integration of communication efforts and messages within a broader context is in progress.
A catchment area data resource developed through a systematic, stakeholder- driven, and theory-based approach can meet (and surpass) benchmarks for understandability and actionability, and lead to an overall positive response from stakeholders. Creating channels for advocacy and forming community partnerships will be the next step necessary to promote policies and programs for improving cancer outcomes in the catchment areas.
能够有效传达复杂多样的集水区数据的数据仪表盘可以改变癌症预防和护理服务，并加强社区参与力度。通过征求利益相关者的意见并收集反馈，让他们参与数据仪表盘的开发，有可能最大限度地以用户为中心。
描述一种系统的、由利益相关者驱动的、基于理论的方法，用于为癌症中心开发集水区数据可视化工具。
从国家和州级数据源（包括癌症登记处、全国调查和行政索赔数据库）中识别与癌症相关的集水区数据。基于[组织、规划、测试、整合]框架设计、开发并测试了一个数据可视化原型工具。一个多学科专家工作小组通过形成性评估收集利益相关者的反馈，以了解数据和设计偏好。工作小组成员确定并完善了原型中的主题领域、数据元素以及数据可视化的组成和布局。可视化效果在Tableau中呈现，并嵌入到一个面向公众的网站中。采用混合方法评估该工具的可理解性和可操作性，并收集开放式反馈，为改进行动项目提供依据。
我们开发了一个可视化仪表盘，展示了霍林斯癌症中心集水区的癌症发病率和死亡率、风险因素患病率、医疗服务可及性以及健康的社会决定因素。彩色编码地图、时间序列图和图表展示了这些集水区数据。共确定了21名代表关键利益相关者的参与者[普通受众（n = 4）、社区咨询委员会成员和其他代表（n = 7）以及研究人员（n = 10）]。可理解性和可操作性得分超过了最低（80%）阈值。利益相关者的反馈证实，该工具在传达癌症数据方面有效，对教育和宣传有用。定性数据中出现的主题表明，对该工具进行额外的更改，如采用暖色调调色板、数据源透明度以及添加分析功能（数据叠加和区域分辨率选择），将进一步增强该工具。正在将沟通工作和信息整合到更广泛的背景中。
通过系统的、由利益相关者驱动的、基于理论的方法开发的集水区数据资源可以达到（甚至超过）可理解性和可操作性的基准，并得到利益相关者的总体积极回应。创建宣传渠道并形成社区伙伴关系将是促进改善集水区癌症结局的政策和项目的下一步必要举措。
