Study Results
Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.
View full resultsBasic Information
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COMPLETED
17033 participants
OBSERVATIONAL
2016-11-15
2020-05-31
Brief Summary
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Detailed Description
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Conditions
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Keywords
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Study Design
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CASE_CONTROL
PROSPECTIVE
Study Groups
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standard implementation
Webinar, Promotion, Tool Access, academic detailing + Audit and Feedback
Webinar, Promotion, and Tool Access
All sites will receive a professionally developed, 15-minute webinar that describes the tool's development (e.g., how the algorithm was designed) and a tutorial on how to use the web-site. The investigators will promote the webinar and using the tool through key local leaders. A web-link to use the tool will be placed within the lung cancer screening clinical reminder.
Audit and Feedback
Providers at all sites will have access to this system. It will provide feedback on the screening and shared decision making process (e.g., number of provider's eligible patients screened for lung cancer, use of the tool, patient knowledge and satisfaction from patient surveys).
Academic Detailing
All sites will be offered an academic detailing approach to implementation of Lung Decision Precision. A trained detailer will travel to all sites who agree to a visit. The detailer will meet with individual primary care providers whenever possible, and groups of providers as necessary. He will present evidence for a risk-based approach to screening and how to use the tool with patients to make tailored screening recommendations.
intensive implementation
Webinar, Promotion, and Tool Access, academic detailing + Audit and Feedback + LEAP
Webinar, Promotion, and Tool Access
All sites will receive a professionally developed, 15-minute webinar that describes the tool's development (e.g., how the algorithm was designed) and a tutorial on how to use the web-site. The investigators will promote the webinar and using the tool through key local leaders. A web-link to use the tool will be placed within the lung cancer screening clinical reminder.
LEAP
Sites randomized to intensive implementation will be offered participation in the LEAP program. LEAP (Learn. Engage. Act. Program) is a multi-week, online learning collaborative using systems redesign techniques to help sites identify and overcome barriers to implementation of shared decision making (use of the Decision Precision tool).
Audit and Feedback
Providers at all sites will have access to this system. It will provide feedback on the screening and shared decision making process (e.g., number of provider's eligible patients screened for lung cancer, use of the tool, patient knowledge and satisfaction from patient surveys).
Academic Detailing
All sites will be offered an academic detailing approach to implementation of Lung Decision Precision. A trained detailer will travel to all sites who agree to a visit. The detailer will meet with individual primary care providers whenever possible, and groups of providers as necessary. He will present evidence for a risk-based approach to screening and how to use the tool with patients to make tailored screening recommendations.
Interventions
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Webinar, Promotion, and Tool Access
All sites will receive a professionally developed, 15-minute webinar that describes the tool's development (e.g., how the algorithm was designed) and a tutorial on how to use the web-site. The investigators will promote the webinar and using the tool through key local leaders. A web-link to use the tool will be placed within the lung cancer screening clinical reminder.
LEAP
Sites randomized to intensive implementation will be offered participation in the LEAP program. LEAP (Learn. Engage. Act. Program) is a multi-week, online learning collaborative using systems redesign techniques to help sites identify and overcome barriers to implementation of shared decision making (use of the Decision Precision tool).
Audit and Feedback
Providers at all sites will have access to this system. It will provide feedback on the screening and shared decision making process (e.g., number of provider's eligible patients screened for lung cancer, use of the tool, patient knowledge and satisfaction from patient surveys).
Academic Detailing
All sites will be offered an academic detailing approach to implementation of Lung Decision Precision. A trained detailer will travel to all sites who agree to a visit. The detailer will meet with individual primary care providers whenever possible, and groups of providers as necessary. He will present evidence for a risk-based approach to screening and how to use the tool with patients to make tailored screening recommendations.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* history of lung, pancreatic, liver or esophageal cancer
* a health factor on file indicating they have a life expectancy of less than 6 months or who already had a chest CT in the past 12 months
55 Years
80 Years
ALL
Yes
Sponsors
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VA Office of Research and Development
FED
Responsible Party
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Principal Investigators
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Tanner Caverly, MD MPH
Role: PRINCIPAL_INVESTIGATOR
VA Ann Arbor Healthcare System, Ann Arbor, MI
Locations
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VA Ann Arbor Healthcare System, Ann Arbor, MI
Ann Arbor, Michigan, United States
Minneapolis VA Health Care System, Minneapolis, MN
Minneapolis, Minnesota, United States
Manhattan Campus of the VA NY Harbor Healthcare System, New York, NY
New York, New York, United States
Durham VA Medical Center, Durham, NC
Durham, North Carolina, United States
Cincinnati VA Medical Center, Cincinnati, OH
Cincinnati, Ohio, United States
VA Portland Health Care System, Portland, OR
Portland, Oregon, United States
Providence VA Medical Center, Providence, RI
Providence, Rhode Island, United States
Ralph H. Johnson VA Medical Center, Charleston, SC
Charleston, South Carolina, United States
Countries
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References
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Lowery J, Fagerlin A, Larkin AR, Wiener RS, Skurla SE, Caverly TJ. Implementation of a Web-Based Tool for Shared Decision-making in Lung Cancer Screening: Mixed Methods Quality Improvement Evaluation. JMIR Hum Factors. 2022 Apr 1;9(2):e32399. doi: 10.2196/32399.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
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QUE 15-286
Identifier Type: OTHER_GRANT
Identifier Source: secondary_id
QUX 16-003
Identifier Type: -
Identifier Source: org_study_id