Pre-Post Study for Supporting Appropriate Implementation of Lung Cancer Screening
1 other identifier
interventional
62
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started May 2015
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 1, 2015
CompletedFirst Submitted
Initial submission to the registry
November 22, 2016
CompletedFirst Posted
Study publicly available on registry
March 10, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 1, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
April 1, 2017
CompletedSeptember 20, 2017
September 1, 2017
1.9 years
November 22, 2016
September 19, 2017
Conditions
Outcome Measures
Primary Outcomes (4)
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
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
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
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 Outcomes (2)
Preliminary estimates on the effect of the decision aid on behavioral outcomes
Within 3 months of intervention
Feasibility of implementing a decision aid intervention in a primary care clinic setting
Through study completion, an average of 1 year
Study Arms (1)
Pre/Post Test of a Lung Cancer Screening Decision Aid
EXPERIMENTALInterventions
After completing the baseline survey, the research team member will ask each participant asked to view the lung cancer screening decision aid on a tablet. The following areas regarding lung cancer screening: What is lung cancer?, Why is lung cancer a problem?, What is screening?, What is low-dose CT screening, Recommended frequency of screening, Screening factors, lung cancer risks and benefits (magnitude of benefit, harms, false positive, invasive procedures, radiation, stress/anxiety), Summary, Values Clarification, Screening Choice, and Smoking cessation messaging for current smokers OR positive reinforcement for former smokers.
Eligibility Criteria
You may qualify if:
- 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.
You may not qualify if:
- 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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
UNC Ambulatory Care Center Internal Medicine Clinic
Chapel Hill, North Carolina, 27599, United States
Related Publications (5)
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.
PMID: 21714641BACKGROUNDKovalchik 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.
PMID: 23863051BACKGROUNDBach 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. doi: 10.7326/0003-4819-157-8-201210160-00524. No abstract available.
PMID: 22893040BACKGROUNDMoyer 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.
PMID: 24378917BACKGROUNDReuland DS, Cubillos L, Brenner AT, Harris RP, Minish B, Pignone MP. A pre-post study testing a lung cancer screening decision aid in primary care. BMC Med Inform Decis Mak. 2018 Jan 12;18(1):5. doi: 10.1186/s12911-018-0582-1.
PMID: 29325548DERIVED
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Daniel S Reuland, MD MPH
University of North Carolina, Chapel Hill
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 22, 2016
First Posted
March 10, 2017
Study Start
May 1, 2015
Primary Completion
April 1, 2017
Study Completion
April 1, 2017
Last Updated
September 20, 2017
Record last verified: 2017-09