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Measuring Health-Related Social Risks in a Lung Cancer Screening Cohort.

Farouk Dako1, Pavel Karasek2, James Seward3

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This summary is machine-generated.

Assessing health-related social risks (HRSRs) in lung cancer screening (LCS) patients is feasible but challenging. Combining electronic health records, neighborhood data, and interviews offers a comprehensive view, despite data limitations.

Keywords:
Geospatial analysishealth-related social riskslung cancer screeningneighborhoodpatient-reported

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Area of Science:

  • Public Health
  • Health Services Research
  • Social Determinants of Health

Background:

  • Health-related social risks (HRSRs) significantly impact patient outcomes and adherence to medical guidelines.
  • Lung cancer screening (LCS) programs serve diverse populations with varying social needs.
  • Understanding HRSRs is crucial for equitable and effective LCS delivery.

Purpose of the Study:

  • To assess the feasibility and limitations of measuring HRSRs in a lung cancer screening (LCS) cohort.
  • To explore multiple data sources for capturing individual and community-level social risks.
  • To identify barriers and facilitators to LCS adherence influenced by social factors.

Main Methods:

  • A single-institution study analyzed data from 227 participants in a pragmatic LCS trial.
  • HRSRs were assessed via electronic health records (EHRs), neighborhood socio-economic status (modified Yost index), and semistructured interviews.
  • Interviews with 15 participants explored barriers and facilitators to LCS adherence.

Main Results:

  • EHR data identified financial strain and housing instability but had high missingness (64-69%).
  • Neighborhood analysis indicated lower socio-economic status in the LCS cohort compared to broader communities.
  • Interviews revealed limited LCS knowledge, reliance on public transport, and trust in providers; transportation was not a major barrier.

Conclusions:

  • Measuring HRSRs in LCS cohorts is promising but faces data limitations with EHRs.
  • Patient interviews provide rich individual experiences, while neighborhood analysis offers contextual socio-economic insights.
  • Integrated, multi-source data collection is essential for a comprehensive understanding of HRSRs in patient populations.