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Patient and provider factors associated with colorectal cancer screening among average risk health plan enrollees in the US, 2015–2018
BACKGROUND: To assess patient and primary care provider (PCP) factors associated with adherence to American Cancer Society (ACS) and United States Preventive Services Task Force (USPSTF) guidelines for average risk colorectal cancer (CRC) screening. METHODS: Retrospective case-control study of medic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223891/ https://www.ncbi.nlm.nih.gov/pubmed/37237408 http://dx.doi.org/10.1186/s12913-023-09474-9 |
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author | Engel-Nitz, Nicole M. Miller-Wilson, Lesley-Ann Le, Lisa Limburg, Paul Fisher, Deborah A. |
author_facet | Engel-Nitz, Nicole M. Miller-Wilson, Lesley-Ann Le, Lisa Limburg, Paul Fisher, Deborah A. |
author_sort | Engel-Nitz, Nicole M. |
collection | PubMed |
description | BACKGROUND: To assess patient and primary care provider (PCP) factors associated with adherence to American Cancer Society (ACS) and United States Preventive Services Task Force (USPSTF) guidelines for average risk colorectal cancer (CRC) screening. METHODS: Retrospective case-control study of medical and pharmacy claims from the Optum Research Database from 01/01/2014 − 12/31/2018. Enrollee sample was adults aged 50 − 75 years with ≥ 24 months continuous health plan enrollment. Provider sample was PCPs listed on the claims of average-risk patients in the enrollee sample. Enrollee-level screening opportunities were based on their exposure to the healthcare system during the baseline year. Screening adherence, calculated at the PCP level, was the percent of average-risk patients up to date with screening recommendations each year. Logistic regression modelling was used to examine the association between receipt of screening and enrollee and PCP characteristics. An ordinary least squares model was used to determine the association between screening adherence among the PCP’s panel of patients and patient characteristics. RESULTS: Among patients with a PCP, adherence to ACS and USPSTF screening guidelines ranged from 69 to 80% depending on PCP specialty and type. The greatest enrollee-level predictors for CRC screening were having a primary/preventive care visit (OR = 4.47, p < 0.001) and a main PCP (OR = 2.69, p < 0.001). CONCLUSIONS: Increased access to preventive/primary care visits could improve CRC screening rates; however, interventions not dependent on healthcare system contact, such as home-based screening, may circumvent the dependence on primary care visits to complete CRC screening. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09474-9. |
format | Online Article Text |
id | pubmed-10223891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102238912023-05-28 Patient and provider factors associated with colorectal cancer screening among average risk health plan enrollees in the US, 2015–2018 Engel-Nitz, Nicole M. Miller-Wilson, Lesley-Ann Le, Lisa Limburg, Paul Fisher, Deborah A. BMC Health Serv Res Research BACKGROUND: To assess patient and primary care provider (PCP) factors associated with adherence to American Cancer Society (ACS) and United States Preventive Services Task Force (USPSTF) guidelines for average risk colorectal cancer (CRC) screening. METHODS: Retrospective case-control study of medical and pharmacy claims from the Optum Research Database from 01/01/2014 − 12/31/2018. Enrollee sample was adults aged 50 − 75 years with ≥ 24 months continuous health plan enrollment. Provider sample was PCPs listed on the claims of average-risk patients in the enrollee sample. Enrollee-level screening opportunities were based on their exposure to the healthcare system during the baseline year. Screening adherence, calculated at the PCP level, was the percent of average-risk patients up to date with screening recommendations each year. Logistic regression modelling was used to examine the association between receipt of screening and enrollee and PCP characteristics. An ordinary least squares model was used to determine the association between screening adherence among the PCP’s panel of patients and patient characteristics. RESULTS: Among patients with a PCP, adherence to ACS and USPSTF screening guidelines ranged from 69 to 80% depending on PCP specialty and type. The greatest enrollee-level predictors for CRC screening were having a primary/preventive care visit (OR = 4.47, p < 0.001) and a main PCP (OR = 2.69, p < 0.001). CONCLUSIONS: Increased access to preventive/primary care visits could improve CRC screening rates; however, interventions not dependent on healthcare system contact, such as home-based screening, may circumvent the dependence on primary care visits to complete CRC screening. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09474-9. BioMed Central 2023-05-26 /pmc/articles/PMC10223891/ /pubmed/37237408 http://dx.doi.org/10.1186/s12913-023-09474-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Engel-Nitz, Nicole M. Miller-Wilson, Lesley-Ann Le, Lisa Limburg, Paul Fisher, Deborah A. Patient and provider factors associated with colorectal cancer screening among average risk health plan enrollees in the US, 2015–2018 |
title | Patient and provider factors associated with colorectal cancer screening among average risk health plan enrollees in the US, 2015–2018 |
title_full | Patient and provider factors associated with colorectal cancer screening among average risk health plan enrollees in the US, 2015–2018 |
title_fullStr | Patient and provider factors associated with colorectal cancer screening among average risk health plan enrollees in the US, 2015–2018 |
title_full_unstemmed | Patient and provider factors associated with colorectal cancer screening among average risk health plan enrollees in the US, 2015–2018 |
title_short | Patient and provider factors associated with colorectal cancer screening among average risk health plan enrollees in the US, 2015–2018 |
title_sort | patient and provider factors associated with colorectal cancer screening among average risk health plan enrollees in the us, 2015–2018 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223891/ https://www.ncbi.nlm.nih.gov/pubmed/37237408 http://dx.doi.org/10.1186/s12913-023-09474-9 |
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