Background: Patient navigation is an evidence-based intervention for reducing delays in oncology care among underserved populations. In order to address the financial sustainability of this intervention, information is needed on the cost of implementing patient navigation in diverse healthcare settings. Because patient navigation programs and care settings are highly variable, this paucity of cost data creates difficulties in identifying best practices and decisions about the feasibility of implementing navigation programs within a health care system. One barrier to collecting these cost data is the lack of assessment tools available to support patient navigation programs. These tools must be relevant to the wide variety of navigation activities that exist in health care settings, and be flexible enough to collect cost data important to stakeholders in fee-for-service and value-based care environments. Methods and results: We present a novel approach and methods for assessing the cost of a patient navigation program implemented across six hospital systems to enhance timely entry and uptake of breast cancer care and treatment. These methods and tools were developed in partnership with breast oncology patient navigators and supervisors using principles of stakeholder engagement, with the goal of increasing usability and feasibility in the field. Conclusions: This methodology can be used to strengthen cost analysis and assessment tools for other navigation programs for improving care and treatment for patients with chronic conditions. Trial registration: NCT03514433.

BACKGROUND: Racial and socioeconomic disparities in breast cancer mortality persist. In Boston, MA, Black, Non-Hispanic women and Medicaid-insured individuals are 2-3 times more likely to have delays in treatment compared to White or privately insured women. While evidence-based care coordination strategies for reducing delays exist, they are not systematically implemented across healthcare settings. METHODS: Translating Research Into Practice (TRIP) utilizes community engaged research methods to address breast cancer care delivery disparities. Four Massachusetts Clinical and Translational Science Institute (CTSI) hubs collaborated with the Boston Breast Cancer Equity Coalition (The Coalition) to implement an evidence-based care coordination intervention for Boston residents at risk for delays in breast cancer care. The Coalition used a community-driven process to define the problem of care delivery disparities, identify the target population, and develop a rigorous pragmatic approach. We chose a cluster-randomized, stepped-wedge hybrid type I effectiveness-implementation study design. The intervention implements three evidence-based strategies: patient navigation services, a shared patient registry for use across academic medical centers, and a web-based social determinants of health platform to identify and address barriers to care. Primary clinical outcomes include time to first treatment and receipt of guideline-concordant treatment, which are captured through electronic health records abstraction. We will use mixed methods to collect the secondary implementation outcomes of acceptability, adoption/penetration, fidelity, sustainability and cost. CONCLUSION: TRIP utilizes an innovative community-driven research strategy, focused on interdisciplinary collaborations, to design and implement a translational science study that aims to more efficiently integrate proven health services interventions into clinical practice.

Background: Community Engaged Research (CEnR) as a means to address health disparities has emphasized the necessity for community members to partner with researchers. The Boston University CTSI identified the local need to increase the number and diversity of community members ready and willing to engage in the research process. Methods: Connecting Community to Research (CCR) was designed to train community groups interested in improving the health of their community. Trainings were adapted from existing curricula with input from a 12 member advisory panel. The goal was to help trainees understand the various roles they can play along the research process. In a 1-2 hour training, participants were guided through an introduction to CEnR and learned how sharing their stories could inform research. The training concluded with an evaluation survey and opportunities to get connected to loco-regional projects. Results: From December 2015 to November 2016, 100 participants of diverse backgrounds were trained at 7 sessions: 56% identified as White, 35% African American, and 6% other races. Evaluation data indicated: 94% of trainees understood how research could address a community concern, 82% understood how to use their stories to inform research, and 53% intended to participate as an advocate in research. Conclusion: These data suggest trainings like CCR can increase the number and diversity of community members willing to engage in research. While this introductory training generated positive results, additional trainings with varying levels of skill development may be needed to further empower community members to engage as partners in research.

BACKGROUND: We sought to measure time and identify predictors of timely follow-up among a cohort of racially/ethnically diverse inner city women with breast and cervical cancer screening abnormalities. METHODS: Eligible women had an abnormality detected on a mammogram or Papanicolaou (Pap) test between January 2004 and December 2005 in 1 of 6 community health centers in Boston, Massachusetts. Retrospective chart review allowed us to measure time to diagnostic resolution. We used Cox proportional hazards models to develop predictive models for timely resolution (defined as definitive diagnostic services completed within 180 days from index abnormality). RESULTS: Among 523 women with mammography abnormalities and 474 women with Pap test abnormalities, >90% achieved diagnostic resolution within 12 months. Median time to resolution was longer for Pap test than for mammography abnormalities (85 vs 27 days). Site of care, rather than any sociodemographic characteristic of individuals, including race/ethnicity, was the only significant predictor of timely follow-up for both mammogram and Pap test abnormalities. CONCLUSIONS: Site-specific community-based interventions may be the most effective interventions to reduce cancer health disparities when addressing the needs of underserved populations.