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Related Experiment Videos

Improving Racial Disparities in Lung Cancer Screening Uptake: A Mixed-Methods Study of a Centralized Program.

Neelima Navuluri1,2,3, Tiera Lanford-Davey4, Govind Krishnan5

  • 11Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, Duke University School of Medicine, Durham, NC.

Journal of the National Comprehensive Cancer Network : JNCCN
|May 19, 2026
PubMed
Summary

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Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:

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This summary is machine-generated.

Lung cancer screening (LCS) uptake is inequitable for Black veterans. Addressing individual and structural barriers, including trust and transportation, is crucial for improving equitable access to LCS.

Area of Science:

  • Public Health
  • Health Services Research
  • Health Equity

Background:

  • Lung cancer screening (LCS) uptake is inequitable in the U.S., particularly for Black or African American individuals.
  • Synthesized quantitative and qualitative analyses offer deeper insights into LCS uptake facilitators and barriers among Black veterans.

Purpose of the Study:

  • To explore facilitators and barriers to LCS uptake among Black veterans using a mixed-methods approach.
  • To identify discrepancies and convergences between veteran and provider perceptions and quantitative data regarding LCS.

Main Methods:

  • An explanatory sequential mixed-methods design was employed at the Durham Veterans Affairs Healthcare System.
  • Quantitative data from electronic health records were integrated with qualitative thematic analysis of interviews with Black veterans, primary care providers, and LCS staff.

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Main Results:

  • Data from 4,562 veteran records, 32 veteran interviews, and 20 provider interviews were analyzed.
  • Confirmed areas included screening motivation, patient characteristics, shared decision-making, and LCS processes.
  • Discordant areas involved perceived risk, patient-provider trust, rurality, and transportation; expansion areas included competing priorities and structural inequities like racism.

Conclusions:

  • Findings highlight key factors influencing LCS uptake among Black veterans and align/diverge from quantitative data.
  • Implementation strategies must address individual and structural changes to promote equitable LCS uptake.