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The association of urbanicity and travel time with lung cancer screening utilization.
Melikam, Ezinne Sylvia; Simmons, Virginia; Masoomkhah, Elham; Franco, Regina; Cartmell, Kathleen B; Mayo, Rachel; Gimbel, Ronald; Okon, Marvin; Zhang, Lu.
Afiliación
  • Melikam ES; Department of Public Health Sciences, Clemson University, Clemson, SC 29634, USA.
  • Simmons V; Department of Public Health Sciences, Clemson University, Clemson, SC 29634, USA; Center for Integrative Oncology & Survivorship, Prisma Health, 900 W Faris Rd 1st Floor, Greenville, SC 29605, USA.
  • Masoomkhah E; Clemson Center for Geospatial Technologies, Clemson University Libraries, 116 Sigma Drive, Clemson, SC 29634, USA.
  • Franco R; Center for Integrative Oncology & Survivorship, Prisma Health, 900 W Faris Rd 1st Floor, Greenville, SC 29605, USA.
  • Cartmell KB; Department of Public Health Sciences, Clemson University, Clemson, SC 29634, USA.
  • Mayo R; Department of Public Health Sciences, Clemson University, Clemson, SC 29634, USA.
  • Gimbel R; Department of Public Health Sciences, Clemson University, Clemson, SC 29634, USA.
  • Okon M; Department of Public Health Sciences, Clemson University, Clemson, SC 29634, USA.
  • Zhang L; Department of Public Health Sciences, Clemson University, Clemson, SC 29634, USA. Electronic address: lz3@clemson.edu.
Cancer Epidemiol ; 85: 102396, 2023 08.
Article en En | MEDLINE | ID: mdl-37290246
ABSTRACT

BACKGROUND:

To examine 1) the rate of lung cancer screening (LCS) utilization in a large healthcare system in South Carolina; 2) associations of urbanicity and travel time with LCS utilization.

METHODS:

LCS-eligible patients from 2019 were identified. The outcome was LCS utilization. The exposures were zip-code level urbanicity and travel time from the centroid of zip-code area to the nearest screening site (<10,10-<20, ≥20 min). Covariates included age, sex, race, marital status, insurance, body mass index, chronic obstructive pulmonary disease, Charlson Comorbidity Index (0, 1, 2, ≥3), and zip-code level median income. Chi-square tests and logistic regressions were employed.

RESULTS:

The analysis included 6930 patients, among whom 1432 (20.66%) received LCS. After adjusting for covariates, living in a non-metropolitan area (adjusted odds ratio 0.32; 95% confidence interval 0.26-0.40) and having longer travel time (0.80 [0.65-0.98] and 0.68 [0.54-0.86] for 10-<20 and ≥20 min travel time, respectively, compared to <10 min travel time) were significantly associated with lower odds of LCS utilization.

CONCLUSIONS:

The LCS utilization rate of a healthcare system was about 20% in 2019. Living in non-metropolitan areas or having longer travel time to LCS site were associated with lower LCS utilization.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Detección Precoz del Cáncer / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies País/Región como asunto: America do norte Idioma: En Revista: Cancer Epidemiol Asunto de la revista: EPIDEMIOLOGIA / NEOPLASIAS Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Detección Precoz del Cáncer / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies País/Región como asunto: America do norte Idioma: En Revista: Cancer Epidemiol Asunto de la revista: EPIDEMIOLOGIA / NEOPLASIAS Año: 2023 Tipo del documento: Article