Spots Global Cancer Trial Database for Evaluation of a Scalable Decision Support and Shared Decision Making Tool for Lung Cancer Screening

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Trial Identification

Brief Title: Evaluation of a Scalable Decision Support and Shared Decision Making Tool for Lung Cancer Screening

Official Title: Evaluation of a Scalable Decision Support and Shared Decision Making Tool for Lung Cancer Screening

Study ID: NCT04498052

Conditions

Early Detection of Cancer

Lung Neoplasms

Interventions

EHR-integrated Shared Decision Making Tool and Clinical Decision Support for Lung Cancer Screening

Study Description

Brief Summary: The purpose of this project is to increase appropriate low-dose computed tomography (LDCT) lung cancer screening through the development and wide dissemination of patient-centered clinical decision support (CDS) tools that (1) are integrated with the electronic health record (EHR) and clinical workflows, (2) prompt for shared decision making (SDM) when patients meet screening criteria, and (3) enable effective SDM using individually-tailored information on the potential benefits and harms of screening. The study will promote standard of care that is endorsed by the Centers for Medicare \& Medicaid Services (CMS) and the US Preventive Services Task Force (USPSTF).

Detailed Description: The purpose of this project is to increase appropriate low-dose computed tomography (LDCT) lung cancer screening through the development and wide dissemination of patient-centered clinical decision support (CDS) tools that (1) are integrated with the electronic health record (EHR) and clinical workflows, (2) prompt for shared decision making (SDM) when patients meet screening criteria, and (3) enable effective SDM using individually-tailored information on the potential benefits and harms of screening. The study will promote standard of care that is endorsed by the Centers for Medicare \& Medicaid Services (CMS) and the US Preventive Services Task Force (USPSTF). This project is supported both operationally and by an Agency for Healthcare Research and Quality (AHRQ) R18 grant. This project will leverage Decision Precision, a validated Web-based tool for LDCT SDM developed at the Veterans Health Administration, as well as an initial version of Decision Precision+, an EHR-integrated version of the tool which can be accessed directly in the EHR and auto-populate relevant patient data in the tool instead of requiring manual data entry. This study will be an 18-month interrupted time series study conducted at the University of Utah Health primary care clinics.