Multilevel Determinants of Socioeconomic Disparities in Geographic Late Stage Hepatocellular Carcinoma Hotspots

项目总结/文摘

PROJECT SUMMARY/ABSTRACT Hepatocellular carcinoma (HCC) is the fastest growing cause of cancer-related deaths in the United States (US), with rising incidence among low-income individuals. Due to importance of cancer stage at diagnosis to survival, we applied small area estimation to the population-based cancer registry in urban Los Angeles County (LAC) to identify areas of highest late stage HCC burden for intervention. These geographic late stage HCC “hotspots” were disproportionately concentrated in areas of lowest socioeconomic status (SES). Few strategies to promote the early detection of HCC have been studied and most are not tailored to the low SES populations that experience the greatest disparity. The scientific objective of this proposal is to address this need by characterizing the individual-, organizational-, and community-level determinants of the geographic aggregation of late stage HCC in low SES communities. Specifically, we propose to use geospatial techniques to refine our population-based late stage hotspots and perform sensitivity analyses around spatial, clinical, and temporal inputs (Aim 1). We will analyze a multilevel dataset built from prospective survey, medical record, and geospatial linkage of 700 incident HCC registry cases to identify the root determinants of SES disparities (Aim 2). Last, semi-structured interviews will be conducted at multiple levels (e.g., patients, providers, and community leaders) to explore barriers to completion of the early detection pathway for HCC in low SES populations (Aim 3). Study constructs are conceptually grounded in the National Institute on Minority Health and Health Disparities Framework, with interviews guided by the Multi-Level Health Outcomes Framework. Together, our rich theory-driven data will directly inform the strategic plan for a multilevel early detection pilot intervention targeting late stage HCC hotspots in a future R34, followed by a cluster randomized controlled intervention trial in a R01. The training objectives in this proposal will foster Dr. Zhou’s growth as a cancer disparities researcher focused on geospatial innovation in early detection strategies to mitigate disparities and improve outcomes among underserved populations with HCC. The four core components of Dr. Zhou’s training plan combine advanced didactics with applied experience: (1) proficiency in spatial methodology and geovisualization; (2) foundation in multilevel modeling and qualitative methods to support effective disparities research; (3) introduction to multilevel intervention design and delivery; and (4) professional development in cancer disparities. Dr. Zhou has access to an academic research environment enriched for cancer disparities and cancer control research, a socioeconomically diverse urban population in LAC, and a strong transdisciplinary mentorship team, comprised of primary mentor Dr. Cockburn (spatial sciences and cancer control) and co-mentors Dr. Mack (multilevel modeling), Dr. Bastani (multilevel interventions), and Dr. Terrault (career development). In summary, this proposal embeds detailed training goals within a practical sequence of research aims to provide Dr. Zhou with a clear path to investigator independence.