Yan Kwan Lau|Tanner Caverly|Pianpian Cao|Sarah T. Cherng|Mindy West|Charles Gaber|Douglas A. Arenberg|Rafael Meza
Evaluation of a Personalized, Web-Based Decision Aid for Lung Cancer Screening
University of Michigan–Ann Arbor|University of Michigan–Ann Arbor|University of Michigan–Ann Arbor|University of Michigan–Ann Arbor|University of Michigan–Ann Arbor|University of Michigan–Ann Arbor|University of Michigan–Ann Arbor|University of Michigan–Ann Arbor
informed decision making highlighted important aspect lung cancer screening programs study seeks assess efficacy webbased patient decision aid lung cancer screening wwwshouldiscreencoma beforeandafter study august december 2014 conducted participants navigated webbased decision aid provided information lowdose computed tomography lung cancer screening using established prediction model decision aid computed baseline lung cancer risk individuals chances benefiting risk harmed screening outcome measures included knowledge lung cancer risk factors lung cancer screening decisional conflict concordance acceptability decision aid data collected 60 participants current former smokers history lung cancer received chest computed tomographic scan previous year analysis took place 2015knowledge increased seeing decision aid compared p0001 whereas score decisional conflict scale decreased p0001 concordance participants preference screen us preventive services task force recommendation improved seeing decision aid p0001 risk perceptions among screenineligible group changed n49 contrary eligible n11 ninetyseven percent participants reported decision aid likely useful lung cancer screening decision makingthe webbased decision aid helpful resource individuals considering lung cancer screening well practitioners health systems lung cancer screening programs