Lung Neoplasms Clinical Trial
Official title:
Pre-Post Study for Supporting Appropriate Implementation of Lung Cancer Screening
Verified date | September 2017 |
Source | UNC Lineberger Comprehensive Cancer Center |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The primary objective of this study is to assess the effect of the decision aid on measures of decision-making such as knowledge, screening attitudes, decisional conflict, and screening intent.
Status | Completed |
Enrollment | 62 |
Est. completion date | April 2017 |
Est. primary completion date | April 2017 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 55 Years to 80 Years |
Eligibility |
Inclusion Criteria: Subjects must meet all of the following inclusion criteria to participate in this study: - Age 55 - 80; - Current smoker, or former smoker who has less than a 16-year quit history; - Have at least a 30-pack year smoking history (average packs per day * years smoking); and - Patient of the Internal Medicine Clinic at University of North Carolina Health Care. Exclusion Criteria: All subjects meeting any of the following exclusion criteria at baseline will be excluded from study participation: - Ever diagnosed with lung cancer; - Undergone chemotherapy or radiation therapy in the past 18 months prior to enrollment; - Coughed up blood from lungs (also called hemoptysis) within the past year prior to enrollment; - Experienced unexplained weight loss of 15-pounds or more during six months prior to enrollment; and - Had a chest CT scan within the past 18 months prior to enrollment. |
Country | Name | City | State |
---|---|---|---|
United States | UNC Ambulatory Care Center Internal Medicine Clinic | Chapel Hill | North Carolina |
Lead Sponsor | Collaborator |
---|---|
UNC Lineberger Comprehensive Cancer Center |
United States,
Bach PB, Gould MK. When the average applies to no one: personalized decision making about potential benefits of lung cancer screening. Ann Intern Med. 2012 Oct 16;157(8):571-3. — View Citation
Kovalchik SA, Tammemagi M, Berg CD, Caporaso NE, Riley TL, Korch M, Silvestri GA, Chaturvedi AK, Katki HA. Targeting of low-dose CT screening according to the risk of lung-cancer death. N Engl J Med. 2013 Jul 18;369(3):245-254. doi: 10.1056/NEJMoa1301851. — View Citation
Moyer VA; U.S. Preventive Services Task Force. Screening for lung cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2014 Mar 4;160(5):330-8. doi: 10.7326/M13-2771. — View Citation
National Lung Screening Trial Research Team, Aberle DR, Adams AM, Berg CD, Black WC, Clapp JD, Fagerstrom RM, Gareen IF, Gatsonis C, Marcus PM, Sicks JD. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med. 2011 Aug 4;365(5):395-409. doi: 10.1056/NEJMoa1102873. Epub 2011 Jun 29. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change in decision-making measures of knowledge | We will use descriptive statistics to provide an overview of knowledge at baseline and at follow-up. Hypothesis 1: Screening specific knowledge will improve after completing the decision aid. o Statistical tests: Overall knowledge: Treating knowledge as a continuous variable by adding number correct out of 12 items (0-12 possible points), we will perform a Wilcoxon sign rank test to assess change in knowledge between baseline and follow-up Individual knowledge items: Using McNemar's test, we will compare the proportion who correctly answered individual knowledge items at baseline and follow-up |
At time of intervention | |
Primary | Change in screening attitudes | We will use descriptive statistics to provide an overview of screening attitudes at baseline and at follow-up. • Exploratory: Using t-tests or chi-squared tests as appropriate, we will assess the change between baseline and follow-up of screening attitudes. |
At time of intervention | |
Primary | Change in decisional conflict | We will use descriptive statistics to provide an overview of decisional conflict at baseline and at follow-up. • Exploratory: Using t-tests or chi-squared tests as appropriate, we will assess the change between baseline and follow-up of decisional conflict. |
At time of intervention | |
Primary | Change in screening intentions | We will use descriptive statistics to provide an overview of screening intentions at baseline and at follow-up. • Exploratory: Using t-tests or chi-squared tests as appropriate, we will assess the change between baseline and follow-up of screening intentions. |
At time of intervention | |
Secondary | Preliminary estimates on the effect of the decision aid on behavioral outcomes | We will use descriptive statistics (means and proportions) to provide preliminary estimates on the effect of the decision aid on documentation of shared decision-making in the electronic health record and screening behavior at 3 months. | Within 3 months of intervention | |
Secondary | Feasibility of implementing a decision aid intervention in a primary care clinic setting | This is a descriptive and qualitative aim. We will describe measures of feasibility related to time needed to complete surveys, participant ability to navigate decision aid website, number of times assistance is needed to complete surveys/navigate the decision aid website, and type of assistance required. | Through study completion, an average of 1 year |
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