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

BackgroundThe 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 a...

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Main Authors: Lau, Yan Kwan, Caverly, Tanner J, Cherng, Sarah T, Cao, Pianpian, West, Mindy, Arenberg, Douglas, Meza, Rafael
Format: Article
Language:English
Published: JMIR Publications 2014-12-01
Series:JMIR Research Protocols
Online Access:http://www.researchprotocols.org/2014/4/e78/
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spelling doaj-3af7a3a6287146f9a4d3e8879445c4022021-05-03T02:53:31ZengJMIR PublicationsJMIR Research Protocols1929-07482014-12-0134e7810.2196/resprot.4039Development and Validation of a Personalized, Web-Based Decision Aid for Lung Cancer Screening Using Mixed Methods: A Study ProtocolLau, Yan KwanCaverly, Tanner JCherng, Sarah TCao, PianpianWest, MindyArenberg, DouglasMeza, Rafael BackgroundThe 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. ObjectiveOur 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. MethodsIn “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. ResultsAlpha 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. ConclusionsWe 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.http://www.researchprotocols.org/2014/4/e78/
collection DOAJ
language English
format Article
sources DOAJ
author Lau, Yan Kwan
Caverly, Tanner J
Cherng, Sarah T
Cao, Pianpian
West, Mindy
Arenberg, Douglas
Meza, Rafael
spellingShingle 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
JMIR Research Protocols
author_facet Lau, Yan Kwan
Caverly, Tanner J
Cherng, Sarah T
Cao, Pianpian
West, Mindy
Arenberg, Douglas
Meza, Rafael
author_sort Lau, Yan Kwan
title 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_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_sort development and validation of a personalized, web-based decision aid for lung cancer screening using mixed methods: a study protocol
publisher JMIR Publications
series JMIR Research Protocols
issn 1929-0748
publishDate 2014-12-01
description BackgroundThe 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. ObjectiveOur 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. MethodsIn “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. ResultsAlpha 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. ConclusionsWe 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.
url http://www.researchprotocols.org/2014/4/e78/
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