NCT03077230

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
62

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started May 2015

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

May 1, 2015

Completed
1.6 years until next milestone

First Submitted

Initial submission to the registry

November 22, 2016

Completed
4 months until next milestone

First Posted

Study publicly available on registry

March 10, 2017

Completed
22 days until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 1, 2017

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

April 1, 2017

Completed
Last Updated

September 20, 2017

Status Verified

September 1, 2017

Enrollment Period

1.9 years

First QC Date

November 22, 2016

Last Update Submit

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

EXPERIMENTAL
Behavioral: Pre/Post Test of a Lung Cancer Screening Decision Aid

Interventions

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.

Pre/Post Test of a Lung Cancer Screening Decision Aid

Eligibility Criteria

Age55 Years - 80 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

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

Location

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: 21714641BACKGROUND
  • 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.

    PMID: 23863051BACKGROUND
  • 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. doi: 10.7326/0003-4819-157-8-201210160-00524. No abstract available.

    PMID: 22893040BACKGROUND
  • 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.

    PMID: 24378917BACKGROUND
  • Reuland 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.

Related Links

MeSH Terms

Conditions

Lung Neoplasms

Condition Hierarchy (Ancestors)

Respiratory Tract NeoplasmsThoracic NeoplasmsNeoplasms by SiteNeoplasmsLung DiseasesRespiratory Tract Diseases

Study Officials

  • Daniel S Reuland, MD MPH

    University of North Carolina, Chapel Hill

    PRINCIPAL INVESTIGATOR

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

Locations