Blue Research Study

Examining barriers to mental health services and building a community-informed care model.

#1
cause of cancer death lung cancer
20%
lower mortality with annual LDCT screening
0.90
model accuracy (AUPRC) predicting non-adherence
4
number of languages supported

Research Overview

Where you live can be as strong a predictor of whether you'll get screened for lung cancer as your own health history. This study set out to understand why; and to build a way to close that gap before it costs someone an early diagnosis.

Current Situation

Racial/ethnic minorities and lower-income patients face higher lung cancer risk but historically lower screening adherence. This study looks at individual and neighborhood-level factors to find out why.

Our Approach

A two-phase model: build and validate a predictive tool, then use it in real time to connect high-risk patients with support. See timeline below.

Main Goals of the Study

Timeline step visual
Complete

Phase 1 (Cohort C)

Use the model in real-time to predict which patients are at high-risk for non-adherence and administer patient navigator intervention to those at high-risk.

In Progress

Phase 2 (Cohort C)

Use the model in real-time to predict which patients are at high-risk for non-adherence and administer patient navigator intervention to those at high-risk.

"Because of this program, one participant's lung cancer was caught at 
Stage I; when it's most treatable."

Individual factors

  1. Demographics and background
  2. Tobacco use
  3. Social needs
  4. Experiences of discrimination
  5. LC risk perception, LCS, and health status

Neighbourhood factors

  1. Residential segregation
  2. Neighborhood deprivation
  3. Transportation
  4. Walkability
  5. Poverty levels

Frequently Asked Questions

What languages is this study available in?
This study is currently available in English, Spanish, Armenian, and Mandarin. Translation support and materials are provided by our study team.
What happens if I'm found to be high-risk?
If you are found to be high-risk, a dedicated patient navigator will contact you directly to discuss the results, guide you through the next steps, and coordinate care.
Will participating affect my care at City of Hope?
No, participating in this study will not affect your standard clinical care at City of Hope. It is designed to complement and enhance your health monitoring.
How is my data used and protected?
Your privacy is our top priority. All personal and health data is strictly de-identified, encrypted, and stored securely in compliance with HIPAA guidelines.
Who do I contact with questions?
For any questions, you can contact the primary study team at contact@hace-lje-research.org or speak directly with your attending physician.

Measured in more than data.

Numbers tell part of the story. Here's what HACE has made possible in the communities we serve.
Community Reach
1,300+

Community events

Community members reached through HACE's education events and outreach efforts.

Neighborhoods served
18

Neighborhoods reached

Active neighborhoods where HACE has built outreach and partnership relationships.

Participant Voice
92%

Cultural Respect

Of participants say HACE programs reflected their culture, values, and experience.

Care Access
600+

Care Referrals

Referrals made to health, food, transportation, and other support services.

Advocacy Impact
4

Policy Changes

Local policy changes influenced through HACE's advocacy and community partnerships.

Participant Voice
87%

Participant Satisfaction

Of participants say they would recommend HACE programs to their community.