Table 2.

Changes in knowledge and intent to initiate lung cancer screening before and after viewing the decision aid (n = 50)

	Pre	Post	Difference (95% CI), p-value
Potential Harms of Screening
Who do you think is more likely to be diagnosed with lung cancer?  People who are screened for lung cancer.a  People who are NOT screened for lung cancer	36%	62%	26% (8%, 44%), p < 0.001
ALL lung cancers will eventually cause illness and death if they are not found and treated.  True/Falsea/Don’t Know	6%	54%	48% (31%, 65%), p < 0.001
When screening finds lung cancer, doctors can tell whether the cancer will ever cause harm.  True/Falsea/Don’t Know	16%	62%	46% (62%, 30%), p < 0.001
Even lung cancers that may not cause any health problems are likely to be treated.  Truea/False/Don’t Know	66%	80%	14% (4%, 32%), p = 0.09
Screening tests lead some people to get cancer treatments that they do not need.  Truea/False/Don’t Know	18%	76%	58% (40%, 76%), p < 0.001
Screening tests find harmless lung cancers about as often as they prevent death from lung cancer.  Truea/False/Don’t Know	24%	52%	28% (9%, 47%), p < 0.001
Which of these 2 statements best describes over-detection from screening?  Screening finds a cancer that would never have caused troublea  Screening finds an abnormality but extra tests show it is not cancer	16%	28%	12% (3%, 27%), p = 0.08
An abnormal result from lung cancer screening always means the person has lung cancer.  True/Falsea/Don’t Know	66%	88%	22% (5%, 39%), p < 0.001
Chances of Benefitting from Screening
For the next question, please think about 1000 current and former smokers who are getting screened every year for lung cancer. Out of 1000 people who get a chest CT scan, about how many will have their lives prolonged?  0  1-5a  6-10a  11-30a  31–100  101–200  201–400  401–700  701–1000  Don’t Know	18%	48%	30% (12%, 48%), p < 0.001
Average Knowledge Score (0–9 points)	2.6	5.5	2.8 (2.1,3.6), p < 0.001

^aCorrect response(s)