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Spatial accessibility to colonoscopy and its role in predicting late‐stage colorectal cancer
OBJECTIVE: To better determine the relationship between spatial access to colonoscopy and colorectal cancer (CRC) outcomes, our objective was to examine the agreement of the classic, enhanced, and variable two‐step floating catchment area (2SFCA) methods in evaluating spatial access to colonoscopy a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839638/ https://www.ncbi.nlm.nih.gov/pubmed/32954527 http://dx.doi.org/10.1111/1475-6773.13562 |
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author | Zahnd, Whitney E. Josey, Michele J. Schootman, Mario Eberth, Jan M. |
author_facet | Zahnd, Whitney E. Josey, Michele J. Schootman, Mario Eberth, Jan M. |
author_sort | Zahnd, Whitney E. |
collection | PubMed |
description | OBJECTIVE: To better determine the relationship between spatial access to colonoscopy and colorectal cancer (CRC) outcomes, our objective was to examine the agreement of the classic, enhanced, and variable two‐step floating catchment area (2SFCA) methods in evaluating spatial access to colonoscopy and to compare the predictive validity of each method related to late‐stage CRC. 2SFCA methods simultaneously consider supply/demand of services and impedance (ie, travel time). DATA SOURCES: Colonoscopy provider locations were obtained from the South Carolina Ambulatory Surgery Database. ZIP code tabulation area (ZCTA) level population estimates and area‐level poverty level were obtained from the American Community Survey. Rurality was determined by the United States Department of Agriculture's Rural‐Urban Commuting Area codes. Individual‐level CRC data were obtained from the South Carolina Central Cancer Registry. STUDY DESIGN: Using the classic, enhanced, and variable 2SFCA methods, we calculated ZCTA‐level spatial access to colonoscopy. We assessed agreement between the three methods by calculating Spearman's rank coefficients and weighted Kappas (Κ). Global and Local Moran's I were used to assess spatial clustering of accessibility scores across 2SFCA methods. We performed multilevel logistic regression analyses to examine the association between spatial accessibility to colonoscopy, area‐ and individual‐level factors, and late‐stage CRC. PRINCIPAL FINDINGS: We found strong agreement (Weighted Κ = 0.82; 95% CI = 0.79‐0.86) and identified similar clustering patterns with the classic and enhanced 2SFCA methods. There was negligible agreement among the classic/enhanced 2SFCA and the variable 2SFCA. Across all 2SFCA methods, regression models showed that spatial access to colonoscopy, rurality, and poverty level were not associated with greater odds of late‐stage CRC, though Black race was associated with late‐stage CRC across all models. CONCLUSIONS: None of the 2SFCA methods showed an association with late‐stage CRC. Future studies should explore which elements (spatial or nonspatial) of access to care have the greatest impact on CRC outcomes. |
format | Online Article Text |
id | pubmed-7839638 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78396382021-02-02 Spatial accessibility to colonoscopy and its role in predicting late‐stage colorectal cancer Zahnd, Whitney E. Josey, Michele J. Schootman, Mario Eberth, Jan M. Health Serv Res Preventive Care OBJECTIVE: To better determine the relationship between spatial access to colonoscopy and colorectal cancer (CRC) outcomes, our objective was to examine the agreement of the classic, enhanced, and variable two‐step floating catchment area (2SFCA) methods in evaluating spatial access to colonoscopy and to compare the predictive validity of each method related to late‐stage CRC. 2SFCA methods simultaneously consider supply/demand of services and impedance (ie, travel time). DATA SOURCES: Colonoscopy provider locations were obtained from the South Carolina Ambulatory Surgery Database. ZIP code tabulation area (ZCTA) level population estimates and area‐level poverty level were obtained from the American Community Survey. Rurality was determined by the United States Department of Agriculture's Rural‐Urban Commuting Area codes. Individual‐level CRC data were obtained from the South Carolina Central Cancer Registry. STUDY DESIGN: Using the classic, enhanced, and variable 2SFCA methods, we calculated ZCTA‐level spatial access to colonoscopy. We assessed agreement between the three methods by calculating Spearman's rank coefficients and weighted Kappas (Κ). Global and Local Moran's I were used to assess spatial clustering of accessibility scores across 2SFCA methods. We performed multilevel logistic regression analyses to examine the association between spatial accessibility to colonoscopy, area‐ and individual‐level factors, and late‐stage CRC. PRINCIPAL FINDINGS: We found strong agreement (Weighted Κ = 0.82; 95% CI = 0.79‐0.86) and identified similar clustering patterns with the classic and enhanced 2SFCA methods. There was negligible agreement among the classic/enhanced 2SFCA and the variable 2SFCA. Across all 2SFCA methods, regression models showed that spatial access to colonoscopy, rurality, and poverty level were not associated with greater odds of late‐stage CRC, though Black race was associated with late‐stage CRC across all models. CONCLUSIONS: None of the 2SFCA methods showed an association with late‐stage CRC. Future studies should explore which elements (spatial or nonspatial) of access to care have the greatest impact on CRC outcomes. John Wiley and Sons Inc. 2020-09-20 2021-02 /pmc/articles/PMC7839638/ /pubmed/32954527 http://dx.doi.org/10.1111/1475-6773.13562 Text en © 2020 The Authors. Health Services Research published by Wiley Periodicals LLC on behalf of Health Research and Educational Trust This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Preventive Care Zahnd, Whitney E. Josey, Michele J. Schootman, Mario Eberth, Jan M. Spatial accessibility to colonoscopy and its role in predicting late‐stage colorectal cancer |
title | Spatial accessibility to colonoscopy and its role in predicting late‐stage colorectal cancer |
title_full | Spatial accessibility to colonoscopy and its role in predicting late‐stage colorectal cancer |
title_fullStr | Spatial accessibility to colonoscopy and its role in predicting late‐stage colorectal cancer |
title_full_unstemmed | Spatial accessibility to colonoscopy and its role in predicting late‐stage colorectal cancer |
title_short | Spatial accessibility to colonoscopy and its role in predicting late‐stage colorectal cancer |
title_sort | spatial accessibility to colonoscopy and its role in predicting late‐stage colorectal cancer |
topic | Preventive Care |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839638/ https://www.ncbi.nlm.nih.gov/pubmed/32954527 http://dx.doi.org/10.1111/1475-6773.13562 |
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