Literature DB >> 30181089

Geographic Access to CT for Lung Cancer Screening: A Census Tract-Level Analysis of Cigarette Smoking in the United States and Driving Distance to a CT Facility.

Tina D Tailor1, Kingshuk R Choudhury2, Betty C Tong3, Jared D Christensen4, Julie A Sosa5, Geoffrey D Rubin4.   

Abstract

PURPOSE: Spatial access to health care resources is a requisite for utilization. Our purpose was to determine, at a census tract level, the geographic distribution of US smokers and their driving distance to an ACR-accredited CT facility.
METHODS: The number of smokers per US census tract was determined from US Census Bureau data (American Community Survey, 2011-2015) and census tract smoking prevalence estimates. Driving distance, from the centroid of each census tract to the nearest CT facility, was determined using a geographic information system. Distance variations were assessed, and relationships with tract population density were examined with regression models.
RESULTS: Most US smokers (81.8%) were within 15 miles of a CT facility; however, there was considerable inter- and intrastate variability. For census tracts containing ≥500 smokers, median distance to a CT was 4.3 miles. At the state level, median distance ranged from 1.4 (Washington DC) to 29.1 miles (Wyoming). Within each state, this variation was higher, with Washington, DC, exhibiting the lowest range (range, 4.3; 0.2-4.5 miles) and Maine exhibiting the highest range (range, 244.8; 0.2-245.0 miles). Distance to a CT facility was inversely associated with census tract population density.
CONCLUSIONS: Geographic variability in CT facility access has implications for lung cancer screening (LCS) implementation. Individuals in densely populated areas have relatively greater spatial access to CT facilities than those in sparsely populated tracts. Further work is needed to identify access disparities to LCS to optimize LCS for all eligible populations.
Copyright © 2018 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Lung cancer screening; geographic information systems; health care access

Mesh:

Year:  2018        PMID: 30181089     DOI: 10.1016/j.jacr.2018.07.007

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  7 in total

Review 1.  Disparities in Lung Cancer Screening: A Review.

Authors:  Diane N Haddad; Kim L Sandler; Louise M Henderson; M Patricia Rivera; Melinda C Aldrich
Journal:  Ann Am Thorac Soc       Date:  2020-04

2.  Distribution and Geographic Accessibility of Lung Cancer Screening Centers in the United States.

Authors:  Soumya J Niranjan; William Opoku-Agyeman; Nathaniel W Carroll; Amanda Dorsey; Meghan Tipre; Monica L Baskin; Mark T Dransfield
Journal:  Ann Am Thorac Soc       Date:  2021-09

3.  Disparities in geographic access to medical oncologists.

Authors:  Sruthi Muluk; Lindsay Sabik; Qingwen Chen; Bruce Jacobs; Zhaojun Sun; Coleman Drake
Journal:  Health Serv Res       Date:  2022-05-04       Impact factor: 3.734

4.  Barriers, Facilitators, and Suggested Interventions for Lung Cancer Screening Among a Rural Screening-Eligible Population.

Authors:  Jenna E Schiffelbein; Kathleen L Carluzzo; Rian M Hasson; Jennifer A Alford-Teaster; Inger Imset; Tracy Onega
Journal:  J Prim Care Community Health       Date:  2020 Jan-Dec

5.  Association of computed tomography screening with lung cancer stage shift and survival in the United States: quasi-experimental study.

Authors:  Alexandra L Potter; Allison L Rosenstein; Mathew V Kiang; Shivani A Shah; Henning A Gaissert; David C Chang; Florian J Fintelmann; Chi-Fu Jeffrey Yang
Journal:  BMJ       Date:  2022-03-30

6.  Urban-Rural Disparities in Access to Low-Dose Computed Tomography Lung Cancer Screening in Missouri and Illinois.

Authors:  Karthik W Rohatgi; Christine M Marx; Marquita W Lewis-Thames; Jingxia Liu; Graham A Colditz; Aimee S James
Journal:  Prev Chronic Dis       Date:  2020-11-05       Impact factor: 2.830

7.  Global health radiology planning using Geographic Information Systems to identify populations with decreased access to care.

Authors:  Rahul Sachdev; Shan Sivanushanthan; Natalie Ring; Anne-Marie Lugossy; Ryan W England
Journal:  J Glob Health       Date:  2021-12-11       Impact factor: 4.413

  7 in total

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