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Uptake of a Cervical Cancer Clinical Decision Support Tool: A Mixed-Methods Study

Objectives  Clinical decision support (CDS) tools that provide point-of-care reminders of patients' care needs may improve rates of guideline-concordant cervical cancer screening. However, uptake of such electronic health record (EHR)-based tools in primary care practices is often low. This stu...

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Autores principales: Huguet, Nathalie, Ezekiel-Herrera, David, Gunn, Rose, Pierce, Alison, O'Malley, Jean, Jones, Matthew, Marino, Miguel, Gold, Rachel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411153/
https://www.ncbi.nlm.nih.gov/pubmed/37532232
http://dx.doi.org/10.1055/s-0043-1769913
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author Huguet, Nathalie
Ezekiel-Herrera, David
Gunn, Rose
Pierce, Alison
O'Malley, Jean
Jones, Matthew
Marino, Miguel
Gold, Rachel
author_facet Huguet, Nathalie
Ezekiel-Herrera, David
Gunn, Rose
Pierce, Alison
O'Malley, Jean
Jones, Matthew
Marino, Miguel
Gold, Rachel
author_sort Huguet, Nathalie
collection PubMed
description Objectives  Clinical decision support (CDS) tools that provide point-of-care reminders of patients' care needs may improve rates of guideline-concordant cervical cancer screening. However, uptake of such electronic health record (EHR)-based tools in primary care practices is often low. This study describes the frequency of factors associated with, and barriers and facilitators to adoption of a cervical cancer screening CDS tool (CC-tool) implemented in a network of community health centers. Methods  This mixed-methods sequential explanatory study reports on CC-tool use among 480 community-based clinics, located across 18 states. Adoption of the CC-tool was measured as any instance of tool use (i.e., entry of cervical cancer screening results or follow-up plan) and as monthly tool use rates from November 1, 2018 (tool release date) to December 31, 2020. Adjusted odds and rates of tool use were evaluated using logistic and negative-binomial regression. Feedback from nine clinic staff representing six clinics during user-centered design sessions and semi-structured interviews with eight clinic staff from two additional clinics were conducted to assess barriers and facilitators to tool adoption. Results  The CC-tool was used ≥1 time in 41% of study clinics during the analysis period. Clinics that ever used the tool and those with greater monthly tool use had, on average, more encounters, more patients from households at >138% federal poverty level, fewer pediatric encounters, higher up-to-date cervical cancer screening rates, and higher rates of abnormal cervical cancer screening results. Qualitative data indicated barriers to tool adoption, including lack of knowledge of the tool's existence, understanding of its functionalities, and training on its use. Conclusion  Without effective systems for informing users about new EHR functions, new or updated EHR tools are unlikely to be widely adopted, reducing their potential to improve health care quality and outcomes.
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spelling pubmed-104111532023-08-10 Uptake of a Cervical Cancer Clinical Decision Support Tool: A Mixed-Methods Study Huguet, Nathalie Ezekiel-Herrera, David Gunn, Rose Pierce, Alison O'Malley, Jean Jones, Matthew Marino, Miguel Gold, Rachel Appl Clin Inform Objectives  Clinical decision support (CDS) tools that provide point-of-care reminders of patients' care needs may improve rates of guideline-concordant cervical cancer screening. However, uptake of such electronic health record (EHR)-based tools in primary care practices is often low. This study describes the frequency of factors associated with, and barriers and facilitators to adoption of a cervical cancer screening CDS tool (CC-tool) implemented in a network of community health centers. Methods  This mixed-methods sequential explanatory study reports on CC-tool use among 480 community-based clinics, located across 18 states. Adoption of the CC-tool was measured as any instance of tool use (i.e., entry of cervical cancer screening results or follow-up plan) and as monthly tool use rates from November 1, 2018 (tool release date) to December 31, 2020. Adjusted odds and rates of tool use were evaluated using logistic and negative-binomial regression. Feedback from nine clinic staff representing six clinics during user-centered design sessions and semi-structured interviews with eight clinic staff from two additional clinics were conducted to assess barriers and facilitators to tool adoption. Results  The CC-tool was used ≥1 time in 41% of study clinics during the analysis period. Clinics that ever used the tool and those with greater monthly tool use had, on average, more encounters, more patients from households at >138% federal poverty level, fewer pediatric encounters, higher up-to-date cervical cancer screening rates, and higher rates of abnormal cervical cancer screening results. Qualitative data indicated barriers to tool adoption, including lack of knowledge of the tool's existence, understanding of its functionalities, and training on its use. Conclusion  Without effective systems for informing users about new EHR functions, new or updated EHR tools are unlikely to be widely adopted, reducing their potential to improve health care quality and outcomes. Georg Thieme Verlag KG 2023-08-02 /pmc/articles/PMC10411153/ /pubmed/37532232 http://dx.doi.org/10.1055/s-0043-1769913 Text en The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ ) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Huguet, Nathalie
Ezekiel-Herrera, David
Gunn, Rose
Pierce, Alison
O'Malley, Jean
Jones, Matthew
Marino, Miguel
Gold, Rachel
Uptake of a Cervical Cancer Clinical Decision Support Tool: A Mixed-Methods Study
title Uptake of a Cervical Cancer Clinical Decision Support Tool: A Mixed-Methods Study
title_full Uptake of a Cervical Cancer Clinical Decision Support Tool: A Mixed-Methods Study
title_fullStr Uptake of a Cervical Cancer Clinical Decision Support Tool: A Mixed-Methods Study
title_full_unstemmed Uptake of a Cervical Cancer Clinical Decision Support Tool: A Mixed-Methods Study
title_short Uptake of a Cervical Cancer Clinical Decision Support Tool: A Mixed-Methods Study
title_sort uptake of a cervical cancer clinical decision support tool: a mixed-methods study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411153/
https://www.ncbi.nlm.nih.gov/pubmed/37532232
http://dx.doi.org/10.1055/s-0043-1769913
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