Literature DB >> 30289107

Geographic Availability of Low-Dose Computed Tomography for Lung Cancer Screening in the United States, 2017.

Jan M Eberth1,2,3, Parisa Bozorgi2,4, Logan M Lebrón5, Sarah E Bills6, Linda J Hazlett7, Ruth C Carlos8, Jennifer C King9.   

Abstract

Entities:  

Mesh:

Year:  2018        PMID: 30289107      PMCID: PMC6178901          DOI: 10.5888/pcd15.180241

Source DB:  PubMed          Journal:  Prev Chronic Dis        ISSN: 1545-1151            Impact factor:   2.830


× No keyword cloud information.
Panel A. Location of low-dose computed tomography (LDCT) screening centers in the United States and percentage of US population aged 55 to 79 who live without access to a screening center within 30 miles. Symbol indicates location of a LDCT screening center. Panel B. Lung cancer mortality per 100,000 persons and percentage of US population aged 55 to 79 without access to a screening center within 30 miles. Mortality and accessibility scores were classified into 3 groups (low, medium, high), each based on the natural breaks method, and combined for bivariate mapping: 1) high mortality/high access, 2) high mortality/medium access, 3) high mortality/low access, 4) medium mortality/high access, 5) medium mortality/medium access, 6) medium mortality/low access, 7) low mortality/high access, 8) low mortality/ medium access, and 9) low mortality/low access. These maps highlight state-level variation in LDCT screening availability and accessibility, as well as lung cancer mortality among persons of LDCT screening age. The maps help identify areas in need of LDCT screening program creation and/or expansion, particularly in rural areas.

Background

Lung cancer is the leading cause of cancer-related death among men and women in the United States, with more than 234,000 persons diagnosed yearly (1). Most diagnoses are made at a late stage when the cancer is more difficult to treat (1). Until 2011, there was not broad evidence that any one type of screening reduced lung cancer mortality. However, the National Lung Screening Trial clearly demonstrated that annual low-dose computed tomography (LDCT) can reduce lung cancer deaths by up to 20% in high-risk populations (ie, people aged 55–74 y who have a ≥30-pack-year smoking history and who, if former smokers, had quit within the previous 15 years) (2). Subsequently, in 2014, the US Preventive Services Task Force (USPSTF) (3) endorsed LDCT screening for high-risk persons, resulting in changes to the reimbursement policies of private and public insurers. Despite endorsements and new reimbursement policies favoring LDCT screening, uptake is low among high-risk persons (3.9% based on the 2015 National Health Interview Survey) (4). In 2014, we showed that the United States had 203 active LDCT screening centers and that most were in the Northeast and the East North Central states (5). In 2015, the Centers for Medicare & Medicaid Services introduced insurance coverage and associated billing codes for LDCT screening. An updated assessment of the landscape of LDCT screening in the United States is now needed to determine the extent of geographic variation in LDCT screening availability and to identify regions for program expansion based on potential demand.

Methods

In January 2017, we obtained the names and locations of LDCT screening centers that meet/attest to quality standards set by the Lung Cancer Alliance (ie, Screening Centers of Excellence) and/or the American College of Radiology (ie, ACR Designated Lung Cancer Screening Centers). The business addresses of each LDCT screening center was geocoded using Esri’s World Geocoding Service and ArcGIS Desktop version 10.2. The primary geographic unit was the census block group. Block groups were classified as urban or rural areas according to 2010 Rural–Urban Commuting Area (RUCA) codes established by the US Department of Agriculture’s Economic Research Service. Each block group was assigned an urban or rural designation according to whether its centroid (ie, geographic center of a polygon) was inside the census-tract boundaries in which it was nested. RUCA codes of 1, 2, and 3 were categorized as urban, and codes 4 through 10 were categorized as rural. We used population estimates for the number of persons aged 55 to 79 to approximate the USPSTF-recommended screening age (ie, 55–80 y). We obtained population estimates at the block group level from the US Census Bureau’s Integrated Public Use Microdata Series, specifying data from the 2011–2015 American Community Survey (6). Data on state lung cancer mortality rates (aggregated data from 2010 through 2014), extracted from the National Cancer Institute’s State Cancer Profiles website (7), were overlaid with data on LDCT screening center locations to determine whether areas of high need had equitable access to services. We measured spatial accessibility to screening by using a 30-mile Euclidean distance buffer (ie, a circle around a point 30 miles in any direction) to identify the number of persons aged 55 to 79 who reside within and outside the facility catchment area. A centroid was created for each block group and was assigned a corresponding block group population. To calculate the population residing within and outside of each buffer, we assumed that if a census block group’s centroid was inside the 30-mile buffer, then the population in that block group would have access to that screening center. We aggregated block group estimates to compute accessibility for all 50 states and the District of Columbia and by level of rurality (urban or rural). For the first map, the proportion of persons aged 55 to 79 without access to a designated LDCT screening center within 30 miles was categorized into 4 groups in equal intervals; the breaks occurred at 22%, 43%, and 65%. For a second map, lung cancer mortality and accessibility scores were classified into 3 groups by using the natural breaks method. For lung cancer mortality, these groups were classified as low (20.0 to 40.3 deaths per 100,000), medium (40.6 to 50.7 deaths per 100,000), and high (51.1 to 69.6 deaths per 100,000). For accessibility, the groups were classified as low (51%–86%), medium (20%–48%), and high (0%–17%). These categories resulted in 9 combinations of lung cancer mortality and accessibility, presented in bivariate map format. Finally, we performed a sensitivity analysis to examine accessibility based on a 30-minute driving distance.

Main Findings

The number of designated LDCT screening centers increased from an estimated 203 in 2014 to 1,748 in early 2017. The mean number of designated LDCT screening centers per state was 34. Nine states (Alaska, Hawaii, Montana, New Mexico, North Dakota, South Dakota, Utah, Vermont, and Wyoming) and the District of Columbia had 5 or fewer designated centers. Across all states, an average 14.9% of persons aged 55 to 79 did not have access to a designated screening center within 30 miles, and an average 28.1% did not have access within a 30-minute drive. In most states (27 states and the District of Columbia), 0% to 22% of the population aged 55 to 79 did not have access to a designated screening center within 30 miles; 66% to 86% of this population did not have access to these services within 30 miles in 4 states (North Dakota, South Dakota, Montana, and Wyoming) clustered in the upper Midwest (Panel A). In 9 states (Connecticut, Delaware, Florida, Maryland, Massachusetts, New Jersey, New York, Pennsylvania, and Rhode Island) and the District of Columbia, 95% or more of the population aged 55 to 79 had access to a designated LDCT screening center within 30 miles. Rural residents were less likely than urban residents to have access to a designated LDCT screening center within 30 miles (47.5% rural vs 93.7% urban) or a 30-minute drive (22.2% rural vs 83.2% urban). Lung cancer mortality was highest in the eastern interior of the United States. A cluster of high mortality stretches north to south from West Virginia to Louisiana and west to east from Oklahoma to West Virginia. Despite their high rate of lung cancer mortality, Alabama, Arkansas, Mississippi, Oklahoma, Tennessee, and West Virginia had low to medium levels of access to LDCT screening. All the states along the eastern seaboard and in the Northeast, except Maine, had high access to LDCT screening (Panel B).

Action

These maps update an assessment of the geographic variation of LDCT screening availability in the United States and extend research by using spatial proximity of persons aged 55 to 79 to designated screening centers to identify disparities in access (5,8). Findings indicate that although the number of designated LDCT screening centers increased by more than 8 times since 2014, pronounced disparities in the distribution of centers exist, particularly between rural and urban areas. This disparity in access is concerning, given the large proportion of high-risk persons in rural areas. We hope that the geographic patterns illustrated in these maps stimulate further research into ways to improve equitable access to high-quality screening services in high-need regions.
Panel A. State Name (Including District of Columbia)No. of CentersLung Cancer Mortality Per 100,000 PersonsProportion of Population Aged 55-79 Outside 30-Mile Buffer, %
Alabama2355.531
Alaska347.649
Arizona2236.123
Arkansas1060.152
California10933.48
Colorado3331.720
Connecticut4039.40
Delaware2051.10
District of Columbia340.30
Florida11443.85
Georgia5347.714
Hawaii532.117
Idaho937.038
Illinois5547.611
Indiana4555.111
Iowa1546.034
Kansas946.638
Kentucky4969.613
Louisiana2155.112
Maine652.533
Maryland4943.21
Massachusetts5743.72
Michigan5449.813
Minnesota2139.721
Mississippi958.842
Missouri2855.327
Montana241.282
Nebraska1143.132
Nevada1646.612
New Hampshire1046.215
New Jersey8139.80
New Mexico431.642
New York14340.15
North Carolina6450.78
North Dakota340.278
Ohio7852.87
Oklahoma856.534
Oregon1844.027
Pennsylvania13446.41
Rhode Island1748.80
South Carolina3050.412
South Dakota243.974
Tennessee3458.627
Texas10140.621
Utah320.033
Vermont547.117
Virginia5845.514
Washington3142.222.5
West Virginia1460.329
Wisconsin1844.232
Wyoming136.786
Panel B. State Name (Including District of Columbia)State Mortality and Access ClassificationLegend Reference
DelawareHigh Mortality/High Access7
IndianaHigh Mortality/High Access7
KentuckyHigh Mortality/High Access7
LouisianaHigh Mortality/High Access7
OhioHigh Mortality/High Access7
AlabamaHigh Mortality/Medium Access8
MississippiHigh Mortality/Medium Access8
MissouriHigh Mortality/Medium Access8
OklahomaHigh Mortality/Medium Access8
TennesseeHigh Mortality/Medium Access8
West VirginiaHigh Mortality/Medium Access8
MaineHigh Mortality/Medium Access8
ArkansasHigh Mortality/Low Access9
FloridaMedium Mortality/High Access4
GeorgiaMedium Mortality/High Access4
IllinoisMedium Mortality/High Access4
MarylandMedium Mortality/High Access4
MassachusettsMedium Mortality/High Access4
MichiganMedium Mortality/High Access4
NevadaMedium Mortality/High Access4
New HampshireMedium Mortality/High Access4
North CarolinaMedium Mortality/High Access4
PennsylvaniaMedium Mortality/High Access4
Rhode IslandMedium Mortality/High Access4
South CarolinaMedium Mortality/High Access4
VermontMedium Mortality/High Access4
VirginiaMedium Mortality/High Access4
AlaskaMedium Mortality/Medium Access5
IowaMedium Mortality/Medium Access5
KansasMedium Mortality/Medium Access5
NebraskaMedium Mortality/Medium Access5
OregonMedium Mortality/Medium Access5
TexasMedium Mortality/Medium Access5
WashingtonMedium Mortality/Medium Access5
WisconsinMedium Mortality/Medium Access5
MontanaMedium Mortality/Low Access6
South DakotaMedium Mortality/Low Access6
CaliforniaLow Mortality/High Access1
ConnecticutLow Mortality/High Access1
District of ColumbiaLow Mortality/High Access1
HawaiiLow Mortality/High Access1
New JerseyLow Mortality/High Access1
New YorkLow Mortality/High Access1
MinnesotaLow Mortality/Medium Access2
ArizonaLow Mortality/Medium Access2
ColoradoLow Mortality/Medium Access2
IdahoLow Mortality/Medium Access2
New MexicoLow Mortality/Medium Access2
UtahLow Mortality/Medium Access2
North DakotaLow Mortality/Low Access3
WyomingLow Mortality/Low Access3
  6 in total

1.  Cancer statistics, 2018.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-01-04       Impact factor: 508.702

2.  Lung Cancer Screening With Low-Dose Computed Tomography in the United States-2010 to 2015.

Authors:  Ahmedin Jemal; Stacey A Fedewa
Journal:  JAMA Oncol       Date:  2017-09-01       Impact factor: 31.777

3.  Lung cancer screening using low-dose CT: the current national landscape.

Authors:  Jan M Eberth; Rebecca Qiu; Swann A Adams; Ramzi G Salloum; Nathanial Bell; Amanda K Arrington; Suzanne K Linder; Reginald F Munden
Journal:  Lung Cancer       Date:  2014-07-21       Impact factor: 5.705

4.  Reduced lung-cancer mortality with low-dose computed tomographic screening.

Authors:  Denise R Aberle; Amanda M Adams; Christine D Berg; William C Black; Jonathan D Clapp; Richard M Fagerstrom; Ilana F Gareen; Constantine Gatsonis; Pamela M Marcus; JoRean D Sicks
Journal:  N Engl J Med       Date:  2011-06-29       Impact factor: 91.245

5.  Access to Lung Cancer Screening Services: Preliminary Analysis of Geographic Service Distribution Using the ACR Lung Cancer Screening Registry.

Authors:  Paniz Charkhchi; Giselle E Kolenic; Ruth C Carlos
Journal:  J Am Coll Radiol       Date:  2017-11       Impact factor: 5.532

6.  Screening for lung cancer: U.S. Preventive Services Task Force recommendation statement.

Authors:  Virginia A Moyer
Journal:  Ann Intern Med       Date:  2014-03-04       Impact factor: 25.391

  6 in total
  16 in total

Review 1.  Low Dose CT for Lung Cancer Screening: The Background, the Guidelines, and a Tailored Approach to Patient Care.

Authors:  Emily Tylski; Mala Goyal
Journal:  Mo Med       Date:  2019 Sep-Oct

2.  State-Level Variations in the Utilization of Lung Cancer Screening Among Medicare Fee-for-Service Beneficiaries: An Analysis of the 2015 to 2017 Physician and Other Supplier Data.

Authors:  Bian Liu; Kavita Dharmarajan; Claudia I Henschke; Emanuela Taioli
Journal:  Chest       Date:  2019-11-22       Impact factor: 9.410

Review 3.  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

4.  Implementation and Uptake of Rural Lung Cancer Screening.

Authors:  Tri Le; Stacie Miller; Emily Berry; Sarah Zamarripa; Aurelio Rodriguez; Benjamin Barkley; Asha Kandathil; Cecelia Brewington; Keith E Argenbright; David E Gerber
Journal:  J Am Coll Radiol       Date:  2022-02-07       Impact factor: 5.532

5.  Lung Cancer Screening Knowledge and Perceived Barriers Among Physicians in the United States.

Authors:  Karthik J Kota; Stephanie Ji; Michelle T Bover-Manderski; Cristine D Delnevo; Michael B Steinberg
Journal:  JTO Clin Res Rep       Date:  2022-04-22

6.  A Multilevel Approach to Investigate Relationships Between Healthcare Resources and Lung Cancer.

Authors:  Darryl Somayaji; Young S Seo; Gregory E Wilding; Ekaterina Noyes
Journal:  Nurs Res       Date:  2022-05-05       Impact factor: 2.364

7.  Mortality-to-incidence ratios by US Congressional District: Implications for epidemiologic, dissemination and implementation research, and public health policy.

Authors:  Jan M Eberth; Whitney E Zahnd; Swann Arp Adams; Daniela B Friedman; Stephanie B Wheeler; James R Hébert
Journal:  Prev Med       Date:  2019-11-01       Impact factor: 4.018

8.  "It's Really Like Any Other Study": Rural Radiology Facilities Performing Low-Dose Computed Tomography for Lung Cancer Screening.

Authors:  Christopher G Slatore; Sara E Golden; Tara Thomas; Sarah Bumatay; Jackilen Shannon; Melinda Davis
Journal:  Ann Am Thorac Soc       Date:  2021-12

9.  Access to Lung Cancer Screening in the Veterans Health Administration: Does Geographic Distribution Match Need in the Population?

Authors:  Jacqueline H Boudreau; Donald R Miller; Shirley Qian; Eduardo R Nunez; Tanner J Caverly; Renda Soylemez Wiener
Journal:  Chest       Date:  2021-02-19       Impact factor: 10.262

10.  Bivariate Spatial Pattern between Smoking Prevalence and Lung Cancer Screening in US Counties.

Authors:  Bian Liu; Jeremy Sze; Lihua Li; Katherine A Ornstein; Emanuela Taioli
Journal:  Int J Environ Res Public Health       Date:  2020-05-13       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.