Semprini Jason, Lizarraga Ingrid M, Seaman Aaron T, Johnson Erin C, Wahlen Madison M, Gorzelitz Jessica S, Birken Sarah A, Schroeder Mary C, Paulus Tarah, Charlton Mary E
Department of Epidemiology University of Iowa College of Public Health Iowa City Iowa USA.
Department of Surgery University of Iowa Carver College of Medicine Iowa City Iowa USA.
Learn Health Syst. 2024 Aug 21;8(4):e10448. doi: 10.1002/lrh2.10448. eCollection 2024 Oct.
As the rural-urban cancer mortality gap widens, centering care around the needs of rural patients presents an opportunity to advance equity. One barrier to delivering patient-centered care at rural hospitals stems from limited analytic capacity to leverage data and monitor patient outcomes. This case study describes the experience of a public health cancer surveillance system aiming to fill this gap within the context of a rural cancer network.
To support the implementation of a novel network model intervention in Iowa, the Iowa Cancer Registry began generating hospital-specific and catchment area reports. Then, the Iowa Cancer Registry supported adapting the network model to fit the context of Iowa's cancer care delivery system by performing data monitoring and reporting functions. Informed by a gap analysis, the Iowa Cancer Registry then identified which quality accreditation standards could be achieved with public health surveillance data and analytic support.
The network intervention in Iowa supported 5 rural cancer centers across the state, each concurrently pursuing quality accreditation standards. The Iowa Cancer Registry's hospital and catchment-specific reports illuminated the cancer burden and needs of rural cancer centers within the network. Our team identified 19 (of the 36 total) quality standards that can be supported by public health surveillance functions typically performed by the registry. These standards encompassed data-driven quality improvement, patient monitoring, and reporting guideline-concordant care standards.
As rural hospitals continue to face resource constraints, multisectoral efforts informed by data from centralized public health surveillance systems can promote quality improvement initiatives across rural communities. While our work remains preliminary, we predict that analytic support provided by the Iowa Cancer Registry will enable the rural network hospitals to focus their capacity toward developing the infrastructure necessary to deliver high-quality care and serve the unique needs of rural cancer patients.
随着城乡癌症死亡率差距不断扩大,以农村患者需求为中心提供医疗服务为促进公平提供了契机。农村医院提供以患者为中心的医疗服务的一个障碍是利用数据和监测患者预后的分析能力有限。本案例研究描述了一个公共卫生癌症监测系统在农村癌症网络背景下填补这一差距的经验。
为支持在爱荷华州实施一种新型网络模式干预措施,爱荷华州癌症登记处开始生成特定医院和集水区报告。然后,爱荷华州癌症登记处通过执行数据监测和报告功能,支持调整网络模式以适应爱荷华州癌症护理提供系统的背景。根据差距分析,爱荷华州癌症登记处随后确定了哪些质量认证标准可以通过公共卫生监测数据和分析支持来实现。
爱荷华州的网络干预措施支持了该州的5家农村癌症中心,每家中心都在同时追求质量认证标准。爱荷华州癌症登记处的医院和特定集水区报告揭示了网络内农村癌症中心的癌症负担和需求。我们的团队确定了(总共36项中的)19项质量标准,这些标准可由登记处通常执行的公共卫生监测功能提供支持。这些标准包括数据驱动的质量改进、患者监测以及符合报告指南的护理标准。
由于农村医院继续面临资源限制,由集中式公共卫生监测系统的数据提供信息的多部门努力可以促进农村社区的质量改进举措。虽然我们的工作仍处于初步阶段,但我们预计爱荷华州癌症登记处提供的分析支持将使农村网络医院能够将其能力集中于发展提供高质量护理所需的基础设施,并满足农村癌症患者的独特需求。