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Capturing Latino Health Disparities: Lessons from Mail- and Community-Based Population Health Surveys in California
April P Vang1, Juanita Elizabeth Quino1, Angelica M Rolon1
1The Health Equity Science and Community Research Laboratory (THE LCC Lab), Genome Center, University of California, Davis, Davis, California.
Combining mail and community surveys improves Latino representation in cancer research. This approach better captures diverse socioeconomic groups for equitable health outreach and cancer prevention strategies.
Area of Science:
- Public Health
- Cancer Research
- Health Disparities
Background:
- Latinos experience significant cancer health disparities and are underrepresented in research.
- Effective outreach and engagement strategies are crucial for addressing regional Latino health needs.
- The University of California Davis Comprehensive Cancer Center (UCDCCC) conducted its first Catchment Area Population Assessment (CAPA) to inform these strategies.
Purpose of the Study:
- To identify optimal methods for collecting Latino health needs data.
- To assess breast and cervical cancer screening rates and risk factors within the Latino population.
- To compare the effectiveness of mail-based versus community-based survey approaches.
Main Methods:
- A cross-sectional study compared mail-based (random sampling) and community-based (in-person interviews) survey methodologies.
- Data were collected from 361 Latino participants across 16 UCDCCC catchment counties (July 2019-March 2020).
- Comparisons focused on catchment population representativeness and cancer screening outcomes.
Main Results:
- Mail-based participants were older, more educated, and had higher incomes than community-based participants.
- Despite demographic differences, breast and cervical cancer screening rates did not significantly differ between the two groups.
- Time since last checkup was a key predictor of screening adherence, particularly in the community-based group.
Conclusions:
- Combining mail- and community-based survey methods enhances the representativeness of Latino health data.
- Each method has distinct sampling biases, but together they offer a more balanced view.
- These combined approaches support equitable research recruitment and cancer prevention strategies for underserved populations.
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