Leveraging public health cancer surveillance capacity to develop and support a rural cancer network

IF 2.6 Q2 HEALTH POLICY & SERVICES Learning Health Systems Pub Date : 2024-08-21 DOI:10.1002/lrh2.10448
Jason Semprini, Ingrid M. Lizarraga, Aaron T. Seaman, Erin C. Johnson, Madison M. Wahlen, Jessica S. Gorzelitz, Sarah A. Birken, Mary C. Schroeder, Tarah Paulus, Mary E. Charlton
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Abstract

Introduction

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.

Methods

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.

Results

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.

Conclusions

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.

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利用公共卫生癌症监测能力,发展和支持农村癌症网络。
导言:随着城乡癌症死亡率差距的扩大,以农村患者需求为中心的医疗服务为促进公平提供了机会。在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结果的分析能力有限。本案例研究介绍了公共卫生癌症监测系统的经验,该系统旨在填补农村癌症网络中的这一空白:方法:为支持爱荷华州新型网络模式干预措施的实施,爱荷华州癌症登记处开始生成针对特定医院和集水区的报告。然后,爱荷华州癌症登记中心通过执行数据监控和报告功能,支持对网络模式进行调整,以适应爱荷华州的癌症治疗系统。通过差距分析,爱荷华州癌症登记处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:结果:爱荷华州的网络干预措施为全州 5 个农村癌症中心提供了支持,每个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地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 19 项(共 36 项)质量标准,这些标准可由通常由登记处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、患者监测和报告指南协调护理标准:结论:由于农村医院继续面临资源限制,以集中式公共卫生监测系统的数据为依据的多部门努力可以促进整个农村社区的质量改进措施。虽然我们的工作仍处于初步阶段,但我们预测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集中精力发展必要的基础设施,以提供高质量的医疗服务并满足农村癌症患者的独特需求。
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来源期刊
Learning Health Systems
Learning Health Systems HEALTH POLICY & SERVICES-
CiteScore
5.60
自引率
22.60%
发文量
55
审稿时长
20 weeks
期刊最新文献
Issue Information Envisioning public health as a learning health system Thanks to our peer reviewers Learning health systems to implement chronic disease prevention programs: A novel framework and perspectives from an Australian health service The translation-to-policy learning cycle to improve public health
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