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Improving cancer health equity by targeting physician networks

通过瞄准医生网络改善癌症健康公平

基本信息

批准号：
10647886
负责人：
Erika Moen
金额：
$ 36.52万
依托单位：
DARTMOUTH COLLEGE
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-07-15 至 2025-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10647886
关键词：
Address Administrator Algorithms Area Attention Cancer Patient Cancer health equity Caring Centers for Disease Control and Prevention (U.S.)Characteristics Cities Clinical Colorectal Cancer Communities Data Development Disparity Equity General Practitioners Geography Goals Health Policy Health Services Accessibility Health system Healthcare Improve Access Incidence Individual Intervention Interview Knowledge Link Location Malignant Neoplasms Malignant neoplasm of lung Measures Medical Oncology Medicare Medicare claim Modeling Network-based Oncologist Oncology Operative Surgical Procedures Outcome Output Pathway Analysis Patient-Focused Outcomes Patients Pattern Perception Physicians Policies Quality of Care Race Radiation Reporting Resource Allocation Retrospective cohort study Rural Rural Hospitals Services Socioeconomic Status Specialist Standardization Structure Testing Travel Variant Work access disparities barrier to care cancer care cancer health disparity cancer therapy care delivery care providers disparity reduction improved improved outcome informant innovation insight low socioeconomic status malignant breast neoplasm medical specialties models and simulation mortality novel outreach patient oriented racial disparity racial minority recruit rural area rural disparities rural patients rurality simulation socioeconomic disparity socioeconomics teleoncology theories underserved area urban disparity

项目摘要

PROJECT SUMMARY Disparities in outcomes among cancer patients who are rural-residing, with lower SES, and a racial minority are well-documented and have garnered significant national media attention. Recent retrospective cohort studies reported minimal rural/urban and racial disparities in outcomes when patients had uniform access to care, highlighting the critical clinical importance of standardizing access to cancer care. Data made available which evaluates access to specialists typically determines access based on a per capita count of individual specialties, which does not adequately capture access to interdisciplinary teams of specialists. A relatively unexplored area of study is the extent to which relationships between cancer specialists can be characterized and then targeted to standardize access to cancer care, reduce cancer health disparities, and improve patient outcomes. By assessing the relationships between physicians based on patient-sharing and geographic proximity patterns observed in administrative data, we propose to apply our team’s expertise in network analysis and cancer care to provide a framework for evaluating patient access to cancer care which recognizes the coordination across medical oncology, radiation, and surgical specialists. We aim to develop and apply a novel network measure– linchpin centrality – which identifies cancer specialists who are the only specialist of their kind among their neighbors’ ties. We propose to evaluate variation of physician linchpin centrality by cancer patient race and geographic variables, building on previous work demonstrating that racial disparities vary significantly across US cities and rural subregions. We will further evaluate associations between physician linchpin centrality and timely treatment and cancer mortality. One avenue for increasing access to specialist care is through cancer specialists traveling to a secondary practice location, typically a rural hospital in a community too small to support a full-time specialist. However, little is known about the impact of traveling physicians on existing relationships between physicians and patient access to coordinated cancer care, a gap in knowledge our proposal will address. In analyses specific to rural areas, we will assess the extent to which physician travelers impact physician network structure and patient outcomes. Finally, we will conduct a qualitative study to inform further development of linchpin centrality and a network algorithm as an intervention to improve cancer care. The algorithm we develop will provide health systems with actionable data on the organization of cancer care providers for their catchment and can help guide interventions and allocate resources appropriately. In conclusion, this proposal uses network analysis to capture essential characteristics of the quality of care for cancer patients, with the goal of bridging theory and practice to improve access and outcomes with a network-guided intervention.

项目总结