Cargando…

Introducing a Comprehensive Informatics Framework to Promote Breast Cancer Risk Assessment and Chemoprevention in the Primary Care Setting

Breast cancer is the most commonly diagnosed cancer among women in the United States, and current routine screening prevention methods are costly and expose patients to unnecessary risks of overtreatment. The utilization of a risk-based stratification model, genetic testing, and chemoprevention coul...

Descripción completa

Detalles Bibliográficos
Autores principales: Finkelstein, Joseph, Wood, Jeffrey, Crew, Katherine D., Kukafka, Rita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543374/
https://www.ncbi.nlm.nih.gov/pubmed/28815107
_version_ 1783255138572435456
author Finkelstein, Joseph
Wood, Jeffrey
Crew, Katherine D.
Kukafka, Rita
author_facet Finkelstein, Joseph
Wood, Jeffrey
Crew, Katherine D.
Kukafka, Rita
author_sort Finkelstein, Joseph
collection PubMed
description Breast cancer is the most commonly diagnosed cancer among women in the United States, and current routine screening prevention methods are costly and expose patients to unnecessary risks of overtreatment. The utilization of a risk-based stratification model, genetic testing, and chemoprevention could decrease the incidence of invasive breast cancer but uptake has been low among high-risk women. The goal of this project was to implement a comprehensive informatics framework to promote breast cancer risk assessment and chemoprevention in the primary care setting that was informed by potential user feedback. The framework provides evidence-based decision support to both providers and patients. For providers we developed a novel breast cancer risk navigation (BNAV) tool which incorporates an evidence-based breast cancer risk model into the electronic health record. For patients a decision aid was designed that allows participants to experience risk through an activity and to address patient-related barriers to chemoprevention. We conducted usability testing to determine barriers and facilitators affecting the toolbox use by providers. A total of seven subjects were recruited and completed the usability testing. Using think-aloud protocols, semi-structured interviews, and subject recordings, we identified recurring themes related to the usability of BNAV. Themes specifically aligned with the content, ease of use, and navigation of the application. This feedback was used to make interface changes to the application that more appropriately tailored BNAV to engage the target population of primary care providers and thus more effectively optimizing shared decision-making associated with breast cancer risk assessment and prevention in clinical practice. A comprehensive informatics framework to increase breast cancer risk assessment and chemoprevention in the primary care setting has been successfully introduced to address this challenge. Given the proven efficacy of breast cancer chemoprevention in high-risk populations, higher uptake may significantly reduce the public health burden of this disease.
format Online
Article
Text
id pubmed-5543374
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher American Medical Informatics Association
record_format MEDLINE/PubMed
spelling pubmed-55433742017-08-16 Introducing a Comprehensive Informatics Framework to Promote Breast Cancer Risk Assessment and Chemoprevention in the Primary Care Setting Finkelstein, Joseph Wood, Jeffrey Crew, Katherine D. Kukafka, Rita AMIA Jt Summits Transl Sci Proc Articles Breast cancer is the most commonly diagnosed cancer among women in the United States, and current routine screening prevention methods are costly and expose patients to unnecessary risks of overtreatment. The utilization of a risk-based stratification model, genetic testing, and chemoprevention could decrease the incidence of invasive breast cancer but uptake has been low among high-risk women. The goal of this project was to implement a comprehensive informatics framework to promote breast cancer risk assessment and chemoprevention in the primary care setting that was informed by potential user feedback. The framework provides evidence-based decision support to both providers and patients. For providers we developed a novel breast cancer risk navigation (BNAV) tool which incorporates an evidence-based breast cancer risk model into the electronic health record. For patients a decision aid was designed that allows participants to experience risk through an activity and to address patient-related barriers to chemoprevention. We conducted usability testing to determine barriers and facilitators affecting the toolbox use by providers. A total of seven subjects were recruited and completed the usability testing. Using think-aloud protocols, semi-structured interviews, and subject recordings, we identified recurring themes related to the usability of BNAV. Themes specifically aligned with the content, ease of use, and navigation of the application. This feedback was used to make interface changes to the application that more appropriately tailored BNAV to engage the target population of primary care providers and thus more effectively optimizing shared decision-making associated with breast cancer risk assessment and prevention in clinical practice. A comprehensive informatics framework to increase breast cancer risk assessment and chemoprevention in the primary care setting has been successfully introduced to address this challenge. Given the proven efficacy of breast cancer chemoprevention in high-risk populations, higher uptake may significantly reduce the public health burden of this disease. American Medical Informatics Association 2017-07-26 /pmc/articles/PMC5543374/ /pubmed/28815107 Text en ©2017 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose
spellingShingle Articles
Finkelstein, Joseph
Wood, Jeffrey
Crew, Katherine D.
Kukafka, Rita
Introducing a Comprehensive Informatics Framework to Promote Breast Cancer Risk Assessment and Chemoprevention in the Primary Care Setting
title Introducing a Comprehensive Informatics Framework to Promote Breast Cancer Risk Assessment and Chemoprevention in the Primary Care Setting
title_full Introducing a Comprehensive Informatics Framework to Promote Breast Cancer Risk Assessment and Chemoprevention in the Primary Care Setting
title_fullStr Introducing a Comprehensive Informatics Framework to Promote Breast Cancer Risk Assessment and Chemoprevention in the Primary Care Setting
title_full_unstemmed Introducing a Comprehensive Informatics Framework to Promote Breast Cancer Risk Assessment and Chemoprevention in the Primary Care Setting
title_short Introducing a Comprehensive Informatics Framework to Promote Breast Cancer Risk Assessment and Chemoprevention in the Primary Care Setting
title_sort introducing a comprehensive informatics framework to promote breast cancer risk assessment and chemoprevention in the primary care setting
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543374/
https://www.ncbi.nlm.nih.gov/pubmed/28815107
work_keys_str_mv AT finkelsteinjoseph introducingacomprehensiveinformaticsframeworktopromotebreastcancerriskassessmentandchemopreventionintheprimarycaresetting
AT woodjeffrey introducingacomprehensiveinformaticsframeworktopromotebreastcancerriskassessmentandchemopreventionintheprimarycaresetting
AT crewkatherined introducingacomprehensiveinformaticsframeworktopromotebreastcancerriskassessmentandchemopreventionintheprimarycaresetting
AT kukafkarita introducingacomprehensiveinformaticsframeworktopromotebreastcancerriskassessmentandchemopreventionintheprimarycaresetting