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Community contextual predictors of endoscopic colorectal cancer screening in the USA: spatial multilevel regression analysis

BACKGROUND: Colorectal cancer (CRC) is the second leading cause of cancer death in the United States, and endoscopic screening can both detect and prevent cancer, but utilization is suboptimal and varies across geographic regions. We use multilevel regression to examine the various predictors of ind...

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Autores principales: Mobley, Lee R, Kuo, Tzy-Mey, Urato, Matthew, Subramanian, Sujha
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2941747/
https://www.ncbi.nlm.nih.gov/pubmed/20815882
http://dx.doi.org/10.1186/1476-072X-9-44
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author Mobley, Lee R
Kuo, Tzy-Mey
Urato, Matthew
Subramanian, Sujha
author_facet Mobley, Lee R
Kuo, Tzy-Mey
Urato, Matthew
Subramanian, Sujha
author_sort Mobley, Lee R
collection PubMed
description BACKGROUND: Colorectal cancer (CRC) is the second leading cause of cancer death in the United States, and endoscopic screening can both detect and prevent cancer, but utilization is suboptimal and varies across geographic regions. We use multilevel regression to examine the various predictors of individuals' decisions to utilize endoscopic CRC screening. Study subjects are a 100% population cohort of Medicare beneficiaries identified in 2001 and followed through 2005. The outcome variable is a binary indicator of any sigmoidoscopy or colonoscopy use over this period. We analyze each state separately and map the findings for all states together to reveal patterns in the observed heterogeneity across states. RESULTS: We estimate a fully adjusted model for each state, based on a comprehensive socio-ecological model. We focus the discussion on the independent contributions of each of three community contextual variables that are amenable to policy intervention. Prevalence of Medicare managed care in one's neighborhood was associated with lower probability of screening in 12 states and higher probability in 19 states. Prevalence of poor English language ability among elders in one's neighborhood was associated with lower probability of screening in 15 states and higher probability in 6 states. Prevalence of poverty in one's neighborhood was associated with lower probability of screening in 36 states and higher probability in 5 states. CONCLUSIONS: There are considerable differences across states in the socio-ecological context of CRC screening by endoscopy, suggesting that the current decentralized configuration of state-specific comprehensive cancer control programs is well suited to respond to the observed heterogeneity. We find that interventions to mediate language barriers are more critically needed in some states than in others. Medicare managed care penetration, hypothesized to affect information about and diffusion of new endoscopic technologies, has a positive association in only a minority of states. This suggests that managed care plans' promotion of this cost-increasing technology has been rather limited. Area poverty has a negative impact in the vast majority of states, but is positive in five states, suggesting there are some effective cancer control policies in place targeting the poor with supplemental resources promoting CRC screening.
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spelling pubmed-29417472010-09-20 Community contextual predictors of endoscopic colorectal cancer screening in the USA: spatial multilevel regression analysis Mobley, Lee R Kuo, Tzy-Mey Urato, Matthew Subramanian, Sujha Int J Health Geogr Research BACKGROUND: Colorectal cancer (CRC) is the second leading cause of cancer death in the United States, and endoscopic screening can both detect and prevent cancer, but utilization is suboptimal and varies across geographic regions. We use multilevel regression to examine the various predictors of individuals' decisions to utilize endoscopic CRC screening. Study subjects are a 100% population cohort of Medicare beneficiaries identified in 2001 and followed through 2005. The outcome variable is a binary indicator of any sigmoidoscopy or colonoscopy use over this period. We analyze each state separately and map the findings for all states together to reveal patterns in the observed heterogeneity across states. RESULTS: We estimate a fully adjusted model for each state, based on a comprehensive socio-ecological model. We focus the discussion on the independent contributions of each of three community contextual variables that are amenable to policy intervention. Prevalence of Medicare managed care in one's neighborhood was associated with lower probability of screening in 12 states and higher probability in 19 states. Prevalence of poor English language ability among elders in one's neighborhood was associated with lower probability of screening in 15 states and higher probability in 6 states. Prevalence of poverty in one's neighborhood was associated with lower probability of screening in 36 states and higher probability in 5 states. CONCLUSIONS: There are considerable differences across states in the socio-ecological context of CRC screening by endoscopy, suggesting that the current decentralized configuration of state-specific comprehensive cancer control programs is well suited to respond to the observed heterogeneity. We find that interventions to mediate language barriers are more critically needed in some states than in others. Medicare managed care penetration, hypothesized to affect information about and diffusion of new endoscopic technologies, has a positive association in only a minority of states. This suggests that managed care plans' promotion of this cost-increasing technology has been rather limited. Area poverty has a negative impact in the vast majority of states, but is positive in five states, suggesting there are some effective cancer control policies in place targeting the poor with supplemental resources promoting CRC screening. BioMed Central 2010-09-03 /pmc/articles/PMC2941747/ /pubmed/20815882 http://dx.doi.org/10.1186/1476-072X-9-44 Text en Copyright ©2010 Mobley et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Mobley, Lee R
Kuo, Tzy-Mey
Urato, Matthew
Subramanian, Sujha
Community contextual predictors of endoscopic colorectal cancer screening in the USA: spatial multilevel regression analysis
title Community contextual predictors of endoscopic colorectal cancer screening in the USA: spatial multilevel regression analysis
title_full Community contextual predictors of endoscopic colorectal cancer screening in the USA: spatial multilevel regression analysis
title_fullStr Community contextual predictors of endoscopic colorectal cancer screening in the USA: spatial multilevel regression analysis
title_full_unstemmed Community contextual predictors of endoscopic colorectal cancer screening in the USA: spatial multilevel regression analysis
title_short Community contextual predictors of endoscopic colorectal cancer screening in the USA: spatial multilevel regression analysis
title_sort community contextual predictors of endoscopic colorectal cancer screening in the usa: spatial multilevel regression analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2941747/
https://www.ncbi.nlm.nih.gov/pubmed/20815882
http://dx.doi.org/10.1186/1476-072X-9-44
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