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Development and Validation of a Personalized, Web-Based Decision Aid for Lung Cancer Screening Using Mixed Methods: A Study Protocol

BACKGROUND: The National Lung Screening Trial demonstrated that low-dose computed tomography (LDCT) screening could be an effective way to reduce lung cancer mortality. Informed decision-making in the context of lung cancer screening requires that potential screening subjects accurately recognize th...

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Autores principales: Lau, Yan Kwan, Caverly, Tanner J, Cherng, Sarah T, Cao, Pianpian, West, Mindy, Arenberg, Douglas, Meza, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376198/
https://www.ncbi.nlm.nih.gov/pubmed/25532218
http://dx.doi.org/10.2196/resprot.4039
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author Lau, Yan Kwan
Caverly, Tanner J
Cherng, Sarah T
Cao, Pianpian
West, Mindy
Arenberg, Douglas
Meza, Rafael
author_facet Lau, Yan Kwan
Caverly, Tanner J
Cherng, Sarah T
Cao, Pianpian
West, Mindy
Arenberg, Douglas
Meza, Rafael
author_sort Lau, Yan Kwan
collection PubMed
description BACKGROUND: The National Lung Screening Trial demonstrated that low-dose computed tomography (LDCT) screening could be an effective way to reduce lung cancer mortality. Informed decision-making in the context of lung cancer screening requires that potential screening subjects accurately recognize their own lung cancer risk, as well as the harms and benefits associated with screening, while taking into account their personal values and preferences. OBJECTIVE: Our objective is to develop a Web-based decision aid in accordance with the qualifying and certification criteria in the International Patient Decision Aid Standards instrument version 4.0 that will assist patients in making informed decisions with regard to lung cancer screening. METHODS: In “alpha” testing, a prototype of the decision aid was tested for usability with 10 potential screening participants in focus groups. Feedback was also sought from public health and health risk communication experts external to the study. Following that, improvements to the prototype were made accordingly, and “beta” testing was done in the form of a quasi-experimental design—a before-after study—with a group of 60 participants. Outcomes tested were knowledge, risk perception of lung cancer and lung cancer screening, decisional conflict, and acceptability of the decision aid as determined by means of a self-administered electronic survey. Focus groups of a subsample of survey participants will be conducted to gain further insight into usability issues. RESULTS: Alpha testing is completed. Beta testing is currently being carried out. As of 2014 December 7, 60 participants had completed the before-after study. We expect to have results by 2015 January 31. Qualitative data collection and analysis are expected to be completed by 2015 May 31. CONCLUSIONS: We hypothesize that this Web-based, interactive decision aid containing personalized, graphical, and contextual information on the benefits and harms of LDCT screening will increase knowledge, reduce decisional conflict, and improve concordance between patient preferences and the current US Preventive Services Task Force’s screening guidelines.
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spelling pubmed-43761982015-04-02 Development and Validation of a Personalized, Web-Based Decision Aid for Lung Cancer Screening Using Mixed Methods: A Study Protocol Lau, Yan Kwan Caverly, Tanner J Cherng, Sarah T Cao, Pianpian West, Mindy Arenberg, Douglas Meza, Rafael JMIR Res Protoc Protocol BACKGROUND: The National Lung Screening Trial demonstrated that low-dose computed tomography (LDCT) screening could be an effective way to reduce lung cancer mortality. Informed decision-making in the context of lung cancer screening requires that potential screening subjects accurately recognize their own lung cancer risk, as well as the harms and benefits associated with screening, while taking into account their personal values and preferences. OBJECTIVE: Our objective is to develop a Web-based decision aid in accordance with the qualifying and certification criteria in the International Patient Decision Aid Standards instrument version 4.0 that will assist patients in making informed decisions with regard to lung cancer screening. METHODS: In “alpha” testing, a prototype of the decision aid was tested for usability with 10 potential screening participants in focus groups. Feedback was also sought from public health and health risk communication experts external to the study. Following that, improvements to the prototype were made accordingly, and “beta” testing was done in the form of a quasi-experimental design—a before-after study—with a group of 60 participants. Outcomes tested were knowledge, risk perception of lung cancer and lung cancer screening, decisional conflict, and acceptability of the decision aid as determined by means of a self-administered electronic survey. Focus groups of a subsample of survey participants will be conducted to gain further insight into usability issues. RESULTS: Alpha testing is completed. Beta testing is currently being carried out. As of 2014 December 7, 60 participants had completed the before-after study. We expect to have results by 2015 January 31. Qualitative data collection and analysis are expected to be completed by 2015 May 31. CONCLUSIONS: We hypothesize that this Web-based, interactive decision aid containing personalized, graphical, and contextual information on the benefits and harms of LDCT screening will increase knowledge, reduce decisional conflict, and improve concordance between patient preferences and the current US Preventive Services Task Force’s screening guidelines. JMIR Publications Inc. 2014-12-19 /pmc/articles/PMC4376198/ /pubmed/25532218 http://dx.doi.org/10.2196/resprot.4039 Text en ©Yan Kwan Lau, Tanner J Caverly, Sarah T Cherng, Pianpian Cao, Mindy West, Douglas Arenberg, Rafael Meza. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 19.12.2014. 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, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Protocol
Lau, Yan Kwan
Caverly, Tanner J
Cherng, Sarah T
Cao, Pianpian
West, Mindy
Arenberg, Douglas
Meza, Rafael
Development and Validation of a Personalized, Web-Based Decision Aid for Lung Cancer Screening Using Mixed Methods: A Study Protocol
title Development and Validation of a Personalized, Web-Based Decision Aid for Lung Cancer Screening Using Mixed Methods: A Study Protocol
title_full Development and Validation of a Personalized, Web-Based Decision Aid for Lung Cancer Screening Using Mixed Methods: A Study Protocol
title_fullStr Development and Validation of a Personalized, Web-Based Decision Aid for Lung Cancer Screening Using Mixed Methods: A Study Protocol
title_full_unstemmed Development and Validation of a Personalized, Web-Based Decision Aid for Lung Cancer Screening Using Mixed Methods: A Study Protocol
title_short Development and Validation of a Personalized, Web-Based Decision Aid for Lung Cancer Screening Using Mixed Methods: A Study Protocol
title_sort development and validation of a personalized, web-based decision aid for lung cancer screening using mixed methods: a study protocol
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376198/
https://www.ncbi.nlm.nih.gov/pubmed/25532218
http://dx.doi.org/10.2196/resprot.4039
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