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Individual- and neighborhood-level characteristics of lung cancer screening participants undergoing telemedicine shared decision making
BACKGROUND: Although lung cancer screening (LCS) for high-risk individuals reduces lung cancer mortality in clinical trial settings, many questions remain about how to implement high-quality LCS in real-world programs. With the increasing use of telemedicine in healthcare, studies examining this app...
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/PMC10614340/ https://www.ncbi.nlm.nih.gov/pubmed/37899430 http://dx.doi.org/10.1186/s12913-023-10185-4 |
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author | Shusted, Christine S. Juon, Hee-Soon Ruane, Brooke Till, Brian Zeigler-Johnson, Charnita McIntire, Russell K. Grenda, Tyler Okusanya, Olugbenga Evans, Nathaniel R. Kane, Gregory C. Barta, Julie A. |
author_facet | Shusted, Christine S. Juon, Hee-Soon Ruane, Brooke Till, Brian Zeigler-Johnson, Charnita McIntire, Russell K. Grenda, Tyler Okusanya, Olugbenga Evans, Nathaniel R. Kane, Gregory C. Barta, Julie A. |
author_sort | Shusted, Christine S. |
collection | PubMed |
description | BACKGROUND: Although lung cancer screening (LCS) for high-risk individuals reduces lung cancer mortality in clinical trial settings, many questions remain about how to implement high-quality LCS in real-world programs. With the increasing use of telemedicine in healthcare, studies examining this approach in the context of LCS are urgently needed. We aimed to identify sociodemographic and other factors associated with screening completion among individuals undergoing telemedicine Shared Decision Making (SDM) for LCS. METHODS: This retrospective study examined patients who completed Shared Decision Making (SDM) via telemedicine between May 4, 2020 – March 18, 2021 in a centralized LCS program. Individuals were categorized into Complete Screening vs. Incomplete Screening subgroups based on the status of subsequent LDCT completion. A multi-level, multivariate model was constructed to identify factors associated with incomplete screening. RESULTS: Among individuals undergoing telemedicine SDM during the study period, 20.6% did not complete a LDCT scan. Bivariate analysis demonstrated that Black/African-American race, Medicaid insurance status, and new patient type were associated with greater odds of incomplete screening. On multi-level, multivariate analysis, individuals who were new patients undergoing baseline LDCT or resided in a census tract with a high level of socioeconomic deprivation had significantly higher odds of incomplete screening. Individuals with a greater level of education experienced lower odds of incomplete screening. CONCLUSIONS: Among high-risk individuals undergoing telemedicine SDM for LCS, predictors of incomplete screening included low education, high neighborhood-level deprivation, and new patient type. Future research should focus on testing implementation strategies to improve LDCT completion rates while leveraging telemedicine for high-quality LCS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10185-4. |
format | Online Article Text |
id | pubmed-10614340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106143402023-10-31 Individual- and neighborhood-level characteristics of lung cancer screening participants undergoing telemedicine shared decision making Shusted, Christine S. Juon, Hee-Soon Ruane, Brooke Till, Brian Zeigler-Johnson, Charnita McIntire, Russell K. Grenda, Tyler Okusanya, Olugbenga Evans, Nathaniel R. Kane, Gregory C. Barta, Julie A. BMC Health Serv Res Research BACKGROUND: Although lung cancer screening (LCS) for high-risk individuals reduces lung cancer mortality in clinical trial settings, many questions remain about how to implement high-quality LCS in real-world programs. With the increasing use of telemedicine in healthcare, studies examining this approach in the context of LCS are urgently needed. We aimed to identify sociodemographic and other factors associated with screening completion among individuals undergoing telemedicine Shared Decision Making (SDM) for LCS. METHODS: This retrospective study examined patients who completed Shared Decision Making (SDM) via telemedicine between May 4, 2020 – March 18, 2021 in a centralized LCS program. Individuals were categorized into Complete Screening vs. Incomplete Screening subgroups based on the status of subsequent LDCT completion. A multi-level, multivariate model was constructed to identify factors associated with incomplete screening. RESULTS: Among individuals undergoing telemedicine SDM during the study period, 20.6% did not complete a LDCT scan. Bivariate analysis demonstrated that Black/African-American race, Medicaid insurance status, and new patient type were associated with greater odds of incomplete screening. On multi-level, multivariate analysis, individuals who were new patients undergoing baseline LDCT or resided in a census tract with a high level of socioeconomic deprivation had significantly higher odds of incomplete screening. Individuals with a greater level of education experienced lower odds of incomplete screening. CONCLUSIONS: Among high-risk individuals undergoing telemedicine SDM for LCS, predictors of incomplete screening included low education, high neighborhood-level deprivation, and new patient type. Future research should focus on testing implementation strategies to improve LDCT completion rates while leveraging telemedicine for high-quality LCS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10185-4. BioMed Central 2023-10-30 /pmc/articles/PMC10614340/ /pubmed/37899430 http://dx.doi.org/10.1186/s12913-023-10185-4 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 Shusted, Christine S. Juon, Hee-Soon Ruane, Brooke Till, Brian Zeigler-Johnson, Charnita McIntire, Russell K. Grenda, Tyler Okusanya, Olugbenga Evans, Nathaniel R. Kane, Gregory C. Barta, Julie A. Individual- and neighborhood-level characteristics of lung cancer screening participants undergoing telemedicine shared decision making |
title | Individual- and neighborhood-level characteristics of lung cancer screening participants undergoing telemedicine shared decision making |
title_full | Individual- and neighborhood-level characteristics of lung cancer screening participants undergoing telemedicine shared decision making |
title_fullStr | Individual- and neighborhood-level characteristics of lung cancer screening participants undergoing telemedicine shared decision making |
title_full_unstemmed | Individual- and neighborhood-level characteristics of lung cancer screening participants undergoing telemedicine shared decision making |
title_short | Individual- and neighborhood-level characteristics of lung cancer screening participants undergoing telemedicine shared decision making |
title_sort | individual- and neighborhood-level characteristics of lung cancer screening participants undergoing telemedicine shared decision making |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614340/ https://www.ncbi.nlm.nih.gov/pubmed/37899430 http://dx.doi.org/10.1186/s12913-023-10185-4 |
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